AWS-services-overview.pdf

AWS Whitepaper Overview of Amazon Web Services Copyright © 2024 Amazon Web Services, Inc. and/or its aﬃliates. All rights reserved. Overview of Amazon Web Services AWS Whitepaper Overview of Amazon Web Services: AWS Whitepaper Copyright © 2024 Amazon Web Services, Inc. and/or its aﬃliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be aﬃliated with, connected to, or sponsored by Amazon. Overview of Amazon Web Services AWS Whitepaper Table of Contents Abstract and introduction............................................................................................................... 1 Introduction................................................................................................................................................... 1 What is cloud computing?.............................................................................................................. 2 Six advantages of cloud computing............................................................................................... 3 Types of cloud computing.............................................................................................................. 4 Deployment models..................................................................................................................................... 4 Cloud.......................................................................................................................................................... 4 Private cloud (on-premises).................................................................................................................. 4 Hybrid........................................................................................................................................................ 4 Global infrastructure....................................................................................................................... 5 Security and compliance................................................................................................................. 6 Security........................................................................................................................................................... 6 Beneﬁts of AWS security....................................................................................................................... 7 Compliance..................................................................................................................................................... 7 AWS services.................................................................................................................................... 8 Accessing AWS services............................................................................................................................... 9 Analytics......................................................................................................................................................... 9 Amazon Athena..................................................................................................................................... 10 Amazon CloudSearch........................................................................................................................... 11 Amazon DataZone................................................................................................................................ 11 Amazon EMR.......................................................................................................................................... 11 Amazon FinSpace.................................................................................................................................. 11 Amazon Kinesis..................................................................................................................................... 12 Amazon Data Firehose......................................................................................................................... 12 Amazon Managed Service for Apache Flink.................................................................................... 13 Amazon Kinesis Data Streams........................................................................................................... 13 Amazon Kinesis Video Streams.......................................................................................................... 13 Amazon OpenSearch Service............................................................................................................. 14 Amazon OpenSearch Serverless........................................................................................................ 14 Amazon Redshift................................................................................................................................... 14 Amazon Redshift Serverless............................................................................................................... 15 Amazon QuickSight.............................................................................................................................. 15 AWS Clean Rooms................................................................................................................................ 15 AWS Data Exchange............................................................................................................................. 15 iii Overview of Amazon Web Services AWS Whitepaper AWS Data Pipeline................................................................................................................................ 16 AWS Entity Resolution......................................................................................................................... 16 AWS Glue................................................................................................................................................ 17 AWS Lake Formation............................................................................................................................ 17 Amazon Managed Streaming for Apache Kafka (Amazon MSK)................................................. 18 Application integration............................................................................................................................. 18 AWS Step Functions............................................................................................................................. 19 Amazon AppFlow.................................................................................................................................. 19 AWS B2B Data Interchange................................................................................................................ 19 Amazon EventBridge............................................................................................................................ 20 Amazon Managed Workﬂows for Apache Airﬂow (MWAA).......................................................... 20 Amazon MQ........................................................................................................................................... 20 Amazon Simple Notiﬁcation Service................................................................................................ 21 Amazon Simple Queue Service.......................................................................................................... 21 Amazon Simple Workﬂow Service.................................................................................................... 21 Blockchain.................................................................................................................................................... 22 Amazon Managed Blockchain............................................................................................................ 22 Business applications................................................................................................................................. 22 Alexa for Business................................................................................................................................. 23 AWS AppFabric...................................................................................................................................... 23 Amazon Chime...................................................................................................................................... 23 Amazon Chime SDK............................................................................................................................. 24 Amazon Connect................................................................................................................................... 24 Amazon Pinpoint................................................................................................................................... 24 Amazon SES........................................................................................................................................... 25 Amazon WorkDocs................................................................................................................................ 25 Amazon WorkMail................................................................................................................................. 25 Cloud Financial Management.................................................................................................................. 26 AWS Application Cost Proﬁler............................................................................................................ 26 AWS Billing Conductor........................................................................................................................ 26 AWS Cost Explorer................................................................................................................................ 27 AWS Budgets......................................................................................................................................... 27 AWS Cost and Usage Report.............................................................................................................. 28 Reserved Instance (RI) reporting....................................................................................................... 28 Savings Plans......................................................................................................................................... 28 Compute services....................................................................................................................................... 28 iv Overview of Amazon Web Services AWS Whitepaper Compare AWS compute services....................................................................................................... 29 Amazon EC2........................................................................................................................................... 32 Amazon EC2 Auto Scaling.................................................................................................................. 34 Amazon EC2 Image Builder................................................................................................................ 34 Amazon Lightsail................................................................................................................................... 34 Amazon Linux 2023............................................................................................................................. 34 AWS App Runner.................................................................................................................................. 35 AWS Batch.............................................................................................................................................. 35 AWS Elastic Beanstalk.......................................................................................................................... 36 AWS Fargate........................................................................................................................................... 36 AWS Lambda.......................................................................................................................................... 37 AWS Serverless Application Repository........................................................................................... 37 AWS Outposts........................................................................................................................................ 37 AWS Wavelength................................................................................................................................... 38 VMware Cloud on AWS........................................................................................................................ 38 Customer enablement............................................................................................................................... 39 Containers.................................................................................................................................................... 40 Amazon Elastic Container Registry................................................................................................... 40 Amazon Elastic Container Service..................................................................................................... 40 Amazon Elastic Kubernetes Service.................................................................................................. 41 AWS App2Container............................................................................................................................. 41 Red Hat OpenShift Service on AWS................................................................................................. 41 Databases..................................................................................................................................................... 42 Compare AWS database services....................................................................................................... 42 Amazon Aurora...................................................................................................................................... 44 Amazon DynamoDB.............................................................................................................................. 45 Amazon ElastiCache............................................................................................................................. 45 Amazon Keyspaces (for Apache Cassandra).................................................................................... 46 Amazon MemoryDB for Redis............................................................................................................ 47 Amazon Neptune.................................................................................................................................. 47 Amazon Relational Database Service............................................................................................... 48 Amazon RDS for Db2........................................................................................................................... 48 Amazon RDS on VMware.................................................................................................................... 48 Amazon Quantum Ledger Database (Amazon QLDB)................................................................... 49 Amazon Timestream............................................................................................................................ 49 Amazon DocumentDB (with MongoDB compatibility).................................................................. 50 v Overview of Amazon Web Services AWS Whitepaper Amazon Lightsail managed databases............................................................................................. 34 Developer tools........................................................................................................................................... 51 AWS Application Composer................................................................................................................ 51 AWS Cloud9........................................................................................................................................... 52 AWS CloudShell..................................................................................................................................... 52 AWS CodeArtifact................................................................................................................................. 52 AWS CodeBuild...................................................................................................................................... 52 Amazon CodeCatalyst.......................................................................................................................... 53 AWS CodeCommit................................................................................................................................. 53 AWS CodeDeploy.................................................................................................................................. 53 AWS CodePipeline................................................................................................................................. 53 AWS CodeStar........................................................................................................................................ 54 Amazon Corretto................................................................................................................................... 54 AWS Fault Injection Service................................................................................................................ 54 AWS X-Ray.............................................................................................................................................. 55 End user computing.................................................................................................................................. 55 Front-end web and mobile services....................................................................................................... 57 AWS Amplify.......................................................................................................................................... 57 AWS AppSync........................................................................................................................................ 58 AWS Device Farm.................................................................................................................................. 58 Amazon Location Service.................................................................................................................... 58 Game tech.................................................................................................................................................... 59 Amazon GameLift................................................................................................................................. 59 IoT.................................................................................................................................................................. 59 AWS IoT 1-Click..................................................................................................................................... 60 AWS IoT Analytics................................................................................................................................. 60 AWS IoT Button..................................................................................................................................... 61 AWS IoT Core......................................................................................................................................... 61 AWS IoT Device Defender................................................................................................................... 62 AWS IoT Device Management............................................................................................................ 62 AWS IoT Events..................................................................................................................................... 63 AWS IoT ExpressLink............................................................................................................................ 63 AWS IoT FleetWise................................................................................................................................ 64 AWS IoT Greengrass............................................................................................................................. 64 AWS IoT SiteWise.................................................................................................................................. 64 AWS IoT TwinMaker............................................................................................................................. 65 vi Overview of Amazon Web Services AWS Whitepaper AWS Partner Device Catalog.............................................................................................................. 65 FreeRTOS................................................................................................................................................ 66 ML and AI.................................................................................................................................................... 66 Amazon Augmented AI........................................................................................................................ 67 Amazon Bedrock................................................................................................................................... 67 Amazon CodeGuru................................................................................................................................ 68 Amazon Comprehend.......................................................................................................................... 68 Amazon DevOps Guru.......................................................................................................................... 69 Amazon Forecast................................................................................................................................... 69 Amazon Fraud Detector...................................................................................................................... 70 Amazon Comprehend Medical........................................................................................................... 70 Amazon Kendra..................................................................................................................................... 70 Amazon Lex............................................................................................................................................ 71 Amazon Lookout for Equipment....................................................................................................... 71 Amazon Lookout for Metrics.............................................................................................................. 72 Amazon Lookout for Vision................................................................................................................ 72 Amazon Monitron................................................................................................................................. 72 Amazon PartyRock................................................................................................................................ 73 Amazon Personalize............................................................................................................................. 73 Amazon Polly......................................................................................................................................... 74 Amazon Q............................................................................................................................................... 75 Amazon Rekognition............................................................................................................................ 75 Amazon SageMaker.............................................................................................................................. 76 Amazon Textract................................................................................................................................... 82 Amazon Transcribe............................................................................................................................... 82 Amazon Translate................................................................................................................................. 83 AWS DeepComposer............................................................................................................................. 84 AWS DeepRacer..................................................................................................................................... 84 AWS HealthLake.................................................................................................................................... 84 AWS HealthScribe................................................................................................................................. 85 AWS Panorama...................................................................................................................................... 85 Management and governance................................................................................................................. 86 AWS Auto Scaling................................................................................................................................. 86 AWS Chatbot.......................................................................................................................................... 87 AWS CloudFormation........................................................................................................................... 87 AWS CloudTrail...................................................................................................................................... 88 vii Overview of Amazon Web Services AWS Whitepaper Amazon CloudWatch............................................................................................................................ 88 AWS Compute Optimizer.................................................................................................................... 88 AWS Console Mobile Application...................................................................................................... 89 AWS Control Tower.............................................................................................................................. 89 AWS Conﬁg............................................................................................................................................ 90 AWS Health Dashboard....................................................................................................................... 90 AWS Launch Wizard............................................................................................................................. 90 AWS License Manager.......................................................................................................................... 91 Amazon Managed Grafana................................................................................................................. 91 Amazon Managed Service for Prometheus..................................................................................... 92 AWS Organizations............................................................................................................................... 92 AWS OpsWorks...................................................................................................................................... 92 AWS Proton............................................................................................................................................ 93 Service Catalog...................................................................................................................................... 93 AWS Systems Manager........................................................................................................................ 93 AWS Trusted Advisor............................................................................................................................ 95 AWS Well-Architected Tool................................................................................................................. 95 Media............................................................................................................................................................. 96 Amazon Elastic Transcoder................................................................................................................. 96 Amazon Interactive Video Service..................................................................................................... 97 Amazon Nimble Studio........................................................................................................................ 97 AWS Elemental Appliances and Software....................................................................................... 97 AWS Elemental MediaConnect........................................................................................................... 97 AWS Elemental MediaConvert........................................................................................................... 98 AWS Elemental MediaLive.................................................................................................................. 98 AWS Elemental MediaPackage........................................................................................................... 98 AWS Elemental MediaStore................................................................................................................ 99 AWS Elemental MediaTailor............................................................................................................... 99 Migration and transfer.............................................................................................................................. 99 AWS Application Discovery Service................................................................................................ 100 AWS Application Migration Service................................................................................................ 100 AWS Database Migration Service.................................................................................................... 101 AWS Mainframe Modernization Service......................................................................................... 101 AWS Migration Hub........................................................................................................................... 102 AWS Snow Family............................................................................................................................... 102 AWS DataSync..................................................................................................................................... 104 viii Overview of Amazon Web Services AWS Whitepaper AWS Transfer Family.......................................................................................................................... 104 Networking and content delivery......................................................................................................... 104 Amazon API Gateway........................................................................................................................ 105 Amazon CloudFront........................................................................................................................... 105 Amazon Route 53............................................................................................................................... 106 AWS Veriﬁed Access........................................................................................................................... 106 Amazon VPC........................................................................................................................................ 107 Amazon VPC Lattice........................................................................................................................... 107 AWS App Mesh.................................................................................................................................... 107 AWS Cloud Map.................................................................................................................................. 108 AWS Direct Connect........................................................................................................................... 109 AWS Global Accelerator.................................................................................................................... 109 AWS PrivateLink.................................................................................................................................. 110 AWS Private 5G................................................................................................................................... 110 AWS Transit Gateway......................................................................................................................... 110 AWS VPN.............................................................................................................................................. 111 Elastic Load Balancing....................................................................................................................... 111 Integrated Private Wireless on AWS............................................................................................... 112 Quantum technologies........................................................................................................................... 112 Amazon Braket.................................................................................................................................... 113 Robotics...................................................................................................................................................... 113 AWS RoboMaker................................................................................................................................. 113 Satellite...................................................................................................................................................... 114 AWS Ground Station.......................................................................................................................... 114 Security, identity, and compliance....................................................................................................... 115 Amazon Cognito................................................................................................................................. 116 Amazon Detective.............................................................................................................................. 116 Amazon GuardDuty............................................................................................................................ 117 Amazon Inspector............................................................................................................................... 118 Amazon Macie..................................................................................................................................... 119 Amazon Security Lake....................................................................................................................... 119 Amazon Veriﬁed Permissions........................................................................................................... 120 AWS Artifact........................................................................................................................................ 120 AWS Audit Manager........................................................................................................................... 120 AWS Certiﬁcate Manager.................................................................................................................. 121 AWS CloudHSM................................................................................................................................... 121 ix Overview of Amazon Web Services AWS Whitepaper AWS Directory Service....................................................................................................................... 122 AWS Firewall Manager....................................................................................................................... 122 AWS Identity and Access Management.......................................................................................... 122 AWS Key Management Service........................................................................................................ 123 AWS Network Firewall....................................................................................................................... 123 AWS Resource Access Manager........................................................................................................ 124 AWS Secrets Manager........................................................................................................................ 125 AWS Security Hub.............................................................................................................................. 125 AWS Shield........................................................................................................................................... 126 AWS IAM Identity Center.................................................................................................................. 127 AWS WAF.............................................................................................................................................. 127 AWS WAF Captcha.............................................................................................................................. 127 Storage....................................................................................................................................................... 128 AWS Backup......................................................................................................................................... 128 Amazon Elastic Block Store.............................................................................................................. 129 AWS Elastic Disaster Recovery......................................................................................................... 129 Amazon Elastic File System.............................................................................................................. 129 Amazon File Cache............................................................................................................................. 130 Amazon FSx for Lustre...................................................................................................................... 130 Amazon FSx for NetApp ONTAP..................................................................................................... 131 Amazon FSx for OpenZFS................................................................................................................. 131 Amazon FSx for Windows File Server............................................................................................ 131 Amazon Simple Storage Service..................................................................................................... 132 AWS Storage Gateway....................................................................................................................... 133 Next steps.................................................................................................................................... 134 Are you Well-Architected?..................................................................................................................... 134 Conclusion.................................................................................................................................... 136 Resources...................................................................................................................................... 137 Document history........................................................................................................................ 138..................................................................................................................................................................... 138 AWS Glossary............................................................................................................................... 143 x Overview of Amazon Web Services AWS Whitepaper Overview of Amazon Web Services Publication date: March 1, 2024 (Document history) Amazon Web Services oﬀers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications: on-demand, available in seconds, with pay-as-you-go pricing. From data warehousing to deployment tools, directories to content delivery, over 200 AWS services are available. New services can be provisioned quickly, without the upfront ﬁxed expense. This allows enterprises, start-ups, small and medium-sized businesses, and customers in the public sector to access the building blocks they need to respond quickly to changing business requirements. This whitepaper provides you with an overview of the beneﬁts of the AWS Cloud and introduces you to the services that make up the platform. Introduction In 2006, Amazon Web Services (AWS) began oﬀering IT infrastructure services to businesses as web services—now commonly known as cloud computing. One of the key beneﬁts of cloud computing is the opportunity to replace upfront capital infrastructure expenses with low variable costs that scale with your business. With the cloud, businesses no longer need to plan for and procure servers and other IT infrastructure weeks or months in advance. Instead, they can instantly spin up hundreds or thousands of servers in minutes and deliver results faster. Today, AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. This video explores how millions of customers use AWS to take advantage of the eﬃciencies of cloud computing: What is AWS? | Amazon Web Services Introduction 1 Overview of Amazon Web Services AWS Whitepaper What is cloud computing? Cloud computing is the on-demand delivery of compute power, database, storage, applications, and other IT resources through a cloud services platform via the internet with pay-as-you-go pricing. Whether you are running applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to ﬂexible and low-cost IT resources. With cloud computing, you don’t need to make large upfront investments in hardware and spend a lot of time on the heavy lifting of managing that hardware. Instead, you can provision exactly the right type and size of computing resources you need to power your newest bright idea or operate your IT department. You can access as many resources as you need, almost instantly, and only pay for what you use. Cloud computing provides a simple way to access servers, storage, databases and a broad set of application services over the internet. A cloud services platform such as Amazon Web Services owns and maintains the network-connected hardware required for these application services, while you provision and use what you need via a web application. 2 Overview of Amazon Web Services AWS Whitepaper Six advantages of cloud computing Trade ﬁxed expense for variable expense – Instead of having to invest heavily in data centers and servers before you know how you’re going to use them, you can pay only when you consume computing resources, and pay only for how much you consume. Beneﬁt from massive economies of scale – By using cloud computing, you can achieve a lower variable cost than you can get on your own. Because usage from hundreds of thousands of customers is aggregated in the cloud, providers such as AWS can achieve higher economies of scale, which translates into lower pay as-you-go prices. Stop guessing capacity – Eliminate guessing on your infrastructure capacity needs. When you make a capacity decision prior to deploying an application, you often end up either sitting on expensive idle resources or dealing with limited capacity. With cloud computing, these problems go away. You can access as much or as little capacity as you need, and scale up and down as required with only a few minutes’ notice. Increase speed and agility – In a cloud computing environment, new IT resources are only a click away, which means that you reduce the time to make those resources available to your developers from weeks to just minutes. This results in a dramatic increase in agility for the organization, since the cost and time it takes to experiment and develop is signiﬁcantly lower. Stop spending money running and maintaining data centers – Focus on projects that diﬀerentiate your business, not the infrastructure. Cloud computing lets you focus on your own customers, rather than on the heavy lifting of racking, stacking, and powering servers. Go global in minutes – Easily deploy your application in multiple regions around the world with just a few clicks. This means you can provide lower latency and a better experience for your customers at minimal cost. 3 Overview of Amazon Web Services AWS Whitepaper Types of cloud computing Cloud computing provides developers and IT departments with the ability to focus on what matters most and avoid undiﬀerentiated work such as procurement, maintenance, and capacity planning. As cloud computing has grown in popularity, several diﬀerent models and deployment strategies have emerged to help meet speciﬁc needs of diﬀerent users. Each type provides you with diﬀerent levels of control, ﬂexibility, and management. Deployment models Cloud A cloud-based application is fully deployed in the cloud and all parts of the application run in the cloud. Applications in the cloud have either been created in the cloud or have been migrated from an existing infrastructure to take advantage of the beneﬁts of cloud computing. Cloud- based applications can be built on low-level infrastructure pieces or can use higher level services that provide abstraction from the management, architecting, and scaling requirements of core infrastructure. Private cloud (on-premises) The deployment of resources on-premises, using virtualization and resource management tools, is sometimes called the private cloud. On-premises deployment doesn’t provide many of the beneﬁts of cloud computing but it is sometimes sought for its ability to provide dedicated resources. In most cases, this deployment model is the same as legacy IT infrastructure while using application management and virtualization technologies to try and increase resource utilization. For more information on how AWS can help, refer to Use case: Cloud services on-premises. Hybrid A hybrid deployment is a way to connect infrastructure and applications between cloud-based resources and existing resources that are not located in the cloud. The most common method of hybrid deployment is between the cloud and existing on-premises infrastructure to extend, and grow, an organization's infrastructure into the cloud while connecting cloud resources to the internal system. For more information on how AWS can help you with your hybrid deployment, visit our Hybrid Cloud with AWS page. Deployment models 4 Overview of Amazon Web Services AWS Whitepaper Global infrastructure The AWS Cloud infrastructure is built around AWS Regions and Availability Zones. An AWS Region is a physical location in the world where we have multiple Availability Zones. Availability Zones consist of one or more discrete data centers, each with redundant power, networking, and connectivity, housed in separate facilities. These Availability Zones oﬀer you the ability to operate production applications and databases that are more highly available, fault tolerant, and scalable than would be possible from a single data center. For the latest information on the AWS Cloud Availability Zones and AWS Regions, refer to AWS Global Infrastructure. 5 Overview of Amazon Web Services AWS Whitepaper Security and compliance Security Cloud security at AWS is the highest priority. As organizations embrace the scalability and ﬂexibility of the cloud, AWS is helping them evolve security, identity, and compliance into key business enablers. AWS builds security into the core of our cloud infrastructure, and oﬀers foundational services to help organizations meet their unique security requirements in the cloud. As an AWS customer, you will beneﬁt from a data center and network architecture built to meet the requirements of the most security-sensitive organizations. Security in the cloud is much like security in your on-premises data centers—only without the costs of maintaining facilities and hardware. In the cloud, you don’t have to manage physical servers or storage devices. Instead, you use software-based security tools to monitor and protect the ﬂow of information into and out of your cloud resources. An advantage of the AWS Cloud is that it allows you to scale and innovate, while maintaining a secure environment and paying only for the services you use. This means that you can have the security you need at a lower cost than in an on-premises environment. As an AWS customer you inherit all the best practices of AWS policies, architecture, and operational processes built to satisfy the requirements of our most security-sensitive customers. Get the ﬂexibility and agility you need in security controls. The AWS Cloud enables a shared responsibility model. While AWS manages security of the cloud, you are responsible for security in the cloud. This means that you retain control of the security you choose to implement to protect your own content, platform, applications, systems, and networks no diﬀerently than you would in an on-site data center. AWS provides you with guidance and expertise through online resources, personnel, and partners. AWS provides you with advisories for current issues, plus you have the opportunity to work with AWS when you encounter security issues. You get access to hundreds of tools and features to help you to meet your security objectives. AWS provides security-speciﬁc tools and features across network security, conﬁguration management, access control, and data encryption. Security 6 Overview of Amazon Web Services AWS Whitepaper Finally, AWS environments are continuously audited, with certiﬁcations from accreditation bodies across geographies and verticals. In the AWS environment, you can take advantage of automated tools for asset inventory and privileged access reporting. Beneﬁts of AWS security Keep Your data safe — The AWS infrastructure puts strong safeguards in place to help protect your privacy. All data is stored in highly secure AWS data centers. Meet compliance requirements — AWS manages dozens of compliance programs in its infrastructure. This means that segments of your compliance have already been completed. Save money — Cut costs by using AWS data centers. Maintain the highest standard of security without having to manage your own facility Scale quickly — Security scales with your AWS Cloud usage. No matter the size of your business, the AWS infrastructure is designed to keep your data safe. Compliance AWS Cloud Compliance helps you understand the robust controls in place at AWS for security and data protection in the cloud. Compliance is a shared responsibility between AWS and the customer, and you can visit the Shared Responsibility Model to learn more. Customers can feel conﬁdent in operating and building on top of the security controls AWS uses on its infrastructure. The IT infrastructure that AWS provides to its customers is designed and managed in alignment with best security practices and a variety of IT security standards. The following is a partial list of assurance programs with which AWS complies: SOC 1/ISAE 3402, SOC 2, SOC 3 FISMA, DIACAP, and FedRAMP PCI DSS Level 1 ISO 9001, ISO 27001, ISO 27017, ISO 27018 AWS provides customers a wide range of information on its IT control environment in whitepapers, reports, certiﬁcations, accreditations, and other third-party attestations. More information is available in the Risk and Compliance whitepaper and the AWS Security Center. Beneﬁts of AWS security 7 Overview of Amazon Web Services AWS Whitepaper AWS services by category AWS consists of many cloud services that you can use in combinations tailored to your business or organizational needs. This section introduces the major AWS services by category. Choose a category to explore its services. To access the services, you can use the AWS Management Console, the AWS Command Line Interface (AWS CLI), or Software Development Kits (SDKs). Topics Accessing AWS services Analytics Application integration Blockchain Business applications Cloud Financial Management Compute services Customer enablement Containers Databases Developer tools End user computing Front-end web and mobile services Game tech Internet of Things (IoT) Machine Learning (ML) and Artiﬁcial Intelligence (AI) Management and governance Media Migration and transfer Networking and content delivery Quantum technologies 8 Overview of Amazon Web Services AWS Whitepaper Robotics Satellite Security, identity, and compliance Storage Accessing AWS services AWS Management Console Access and manage Amazon Web Services through the AWS Management Console, a simple and intuitive user interface. You can also use the AWS Management Console Application to quickly view resources on the go. AWS Command Line Interface (AWS CLI) The AWS Command Line Interface (AWS CLI) is a uniﬁed tool to manage your AWS services. With just one tool to download and conﬁgure, you can control multiple AWS services from the command line and automate them through scripts. AWS CloudShell, which can be found next to the search bar in the AWS Management Console, provides a browser-based shell that is pre-authenticated with your console credentials. Using CloudShell, you can quickly run AWS commands and scripts without leaving your web browser. Software Development Kits (SDKs) Our Software Development Kits (SDKs) simplify using AWS services in your applications with an Application Program Interface (API) tailored to your programming language or platform. Analytics Topics Amazon Athena Amazon CloudSearch Amazon DataZone Accessing AWS services 9 Overview of Amazon Web Services AWS Whitepaper Amazon EMR Amazon FinSpace Amazon Kinesis Amazon Data Firehose Amazon Managed Service for Apache Flink Amazon Kinesis Data Streams Amazon Kinesis Video Streams Amazon OpenSearch Service Amazon OpenSearch Serverless Amazon Redshift Amazon Redshift Serverless Amazon QuickSight AWS Clean Rooms AWS Data Exchange AWS Data Pipeline AWS Entity Resolution AWS Glue AWS Lake Formation Amazon Managed Streaming for Apache Kafka (Amazon MSK) Amazon Athena Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, deﬁne the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex extract, transform, and load (ETL) jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a uniﬁed metadata repository across various services, crawl data sources to discover schemas and Amazon Athena 10 Overview of Amazon Web Services AWS Whitepaper populate your Catalog with new and modiﬁed table and partition deﬁnitions, and maintain schema versioning. Amazon CloudSearch Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost- eﬀective to set up, manage, and scale a search solution for your website or application. Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. Amazon DataZone Amazon DataZone is a data management service that you can use to publish data and make it available to the business data catalog through your personalized web application. You can access your data more securely regardless of where it is stored—on AWS, on premises, or in SaaS applications such as Salesforce. Amazon DataZone simpliﬁes your experience across AWS services such as Amazon Redshift, Amazon Athena, AWS Glue, AWS Lake Formation, and Amazon QuickSight. Amazon EMR Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. Amazon EMR makes it easy to set up, operate, and scale your big data environments by automating time-consuming tasks such as provisioning capacity and tuning clusters. With Amazon EMR, you can run petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. You can run workloads on Amazon EC2 instances, on Amazon Elastic Kubernetes Service (Amazon EKS) clusters, or on-premises using Amazon EMR on AWS Outposts. Amazon FinSpace Amazon FinSpace is a data management and analytics service purpose-built for the ﬁnancial services industry (FSI). FinSpace reduces the time you spend ﬁnding and preparing petabytes of ﬁnancial data to be ready for analysis from months to minutes. Financial services organizations analyze data from internal data stores such as portfolio, actuarial, and risk management systems as well as petabytes of data from third-party data feeds, such as Amazon CloudSearch 11 Overview of Amazon Web Services AWS Whitepaper historical securities prices from stock exchanges. It can take months to ﬁnd the right data, get permissions to access the data in a compliant way, and prepare it for analysis. FinSpace removes the heavy lifting of building and maintaining a data management system for ﬁnancial analytics. With FinSpace, you collect data and catalog it by relevant business concepts such as asset class, risk classiﬁcation, or geographic region. FinSpace makes it easy to discover and share data across your organization in accordance with your compliance requirements. You deﬁne your data access policies in one place and FinSpace enforces them while keeping audit logs to allow for compliance and activity reporting. FinSpace also includes a library of 100+ functions, such as time bars and Bollinger bands, for you to prepare data for analysis. Amazon Kinesis Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis oﬀers key capabilities to cost-eﬀectively process streaming data at any scale, along with the ﬂexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real- time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning (ML), analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis currently oﬀers four services: Firehose, Managed Service for Apache Flink, Kinesis Data Streams, and Kinesis Video Streams. Amazon Data Firehose Amazon Data Firehose is the easiest way to reliably load streaming data into data stores and analytics tools. It can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, transform, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security. You can easily create a Firehose delivery stream from the AWS Management Console, conﬁgure it with a few clicks, and start sending data to the stream from hundreds of thousands of data sources to be loaded continuously to AWS—all in just a few minutes. You can also conﬁgure your Amazon Kinesis 12 Overview of Amazon Web Services AWS Whitepaper delivery stream to automatically convert the incoming data to columnar formats such as Apache Parquet and Apache ORC, before the data is delivered to Amazon S3, for cost-eﬀective storage and analytics. Amazon Managed Service for Apache Flink Amazon Managed Service for Apache Flink is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. Amazon Managed Service for Apache Flink reduces the complexity of building, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor. Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time. Amazon Managed Service for Apache Flink takes care of everything required to run your queries continuously and scales automatically to match the volume and throughput rate of your incoming data. Amazon Kinesis Data Streams Amazon Kinesis Data Streams is a massively scalable and durable real-time data streaming service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands of sources such as website clickstreams, database event streams, ﬁnancial transactions, social media feeds, IT logs, and location-tracking events. The data collected is available in milliseconds to enable real-time analytics use cases such as real-time dashboards, real-time anomaly detection, dynamic pricing, and more. Amazon Kinesis Video Streams Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, ML, playback, and other processing. Kinesis Video Streams automatically provisions and elastically scales all the infrastructure needed to ingest streaming video data from millions of devices. It also durably stores, encrypts, and indexes video data in your streams, and allows you to access your data through easy-to-use APIs. Kinesis Video Streams enables you to playback video for live and on-demand viewing, and quickly build applications that take advantage of computer vision and video analytics through integration with Amazon Rekognition Video, and libraries for ML frameworks such as Apache MxNet, TensorFlow, and OpenCV. Amazon Managed Service for Apache Flink 13 Overview of Amazon Web Services AWS Whitepaper Amazon OpenSearch Service Amazon OpenSearch Service (OpenSearch Service) makes it easy to deploy, secure, operate, and scale OpenSearch to search, analyze, and visualize data in real-time. With Amazon OpenSearch Service, you get easy-to-use APIs and real-time analytics capabilities to power use-cases such as log analytics, full-text search, application monitoring, and clickstream analytics, with enterprise- grade availability, scalability, and security. The service oﬀers integrations with open-source tools such as OpenSearch Dashboards and Logstash for data ingestion and visualization. It also integrates seamlessly with other AWS services such as Amazon Virtual Private Cloud (Amazon VPC), AWS Key Management Service (AWS KMS), Amazon Data Firehose, AWS Lambda, AWS Identity and Access Management (IAM), Amazon Cognito, and Amazon CloudWatch, so that you can go from raw data to actionable insights quickly. Amazon OpenSearch Serverless Amazon OpenSearch Serverless is a serverless option in Amazon OpenSearch Service. As a developer, you can use OpenSearch Serverless to run petabyte-scale workloads without conﬁguring, managing, and scaling OpenSearch clusters. You get the same interactive millisecond response times as OpenSearch Service with the simplicity of a serverless environment. The vector engine for Amazon OpenSearch Serverless, adds a simple, scalable, and high- performing vector storage and search capability to help developers build ML-augmented search experiences and generative AI applications without having to manage vector database infrastructure. Use cases for vector search collections include image search, document search, music retrieval, product recommendation, video search, location-based search, fraud detection, and anomaly detection. Amazon Redshift Amazon Redshift is the most widely used cloud data warehouse. It makes it fast, simple and cost- eﬀective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools. It allows you to run complex analytic queries against terabytes to petabytes of structured and semi-structured data, using sophisticated query optimization, columnar storage on high- performance storage, and massively parallel query completion. Most results come back in seconds. You can start small for just $0.25 per hour with no commitments and scale out to petabytes of data for $1,000 per terabyte per year, less than a tenth the cost of traditional on-premises solutions. Amazon OpenSearch Service 14 Overview of Amazon Web Services AWS Whitepaper Amazon Redshift Serverless Amazon Redshift Serverless makes it easier to run and scale analytics without having to manage your data warehouse infrastructure. Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform near real-time analytics, share and collaborate on data, and build and train machine learning (ML) models. Go from large amounts of data to insights in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. Just load data and start querying right away in Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool and continue to enjoy the best price performance and familiar SQL features in an easy-to-use, zero administration environment. Amazon QuickSight Amazon QuickSight is a fast, cloud-powered business intelligence (BI) service that makes it easy for you to deliver insights to everyone in your organization. QuickSight lets you create and publish interactive dashboards that can be accessed from browsers or mobile devices. You can embed dashboards into your applications, providing your customers with powerful self-service analytics. Amazon QuickSight easily scales to tens of thousands of users without any software to install, servers to deploy, or infrastructure to manage. AWS Clean Rooms AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets–without sharing or copying one another's underlying data. With AWS Clean Rooms, customers can create a secure data clean room in minutes, and collaborate with any other company on the AWS Cloud to generate unique insights about advertising campaigns, investment decisions, and research and development. AWS Data Exchange AWS Data Exchange makes it easy to ﬁnd, subscribe to, and use third-party data in the cloud. Qualiﬁed data providers include category-leading brands such as Reuters, who curate data from over 2.2 million unique news stories per year in multiple languages; Change Healthcare, who process and anonymize more than 14 billion healthcare transactions and $1 trillion in claims annually; Dun & Bradstreet, who maintain a database of more than 330 million global business Amazon Redshift Serverless 15 Overview of Amazon Web Services AWS Whitepaper records; and Foursquare, whose location data is derived from 220 million unique consumers and includes more than 60 million global commercial venues. Once subscribed to a data product, you can use the AWS Data Exchange API to load data directly into Amazon S3 and then analyze it with a wide variety of AWS analytics and ML services. For example, property insurers can subscribe to data to analyze historical weather patterns to calibrate insurance coverage requirements in diﬀerent geographies; restaurants can subscribe to population and location data to identify optimal regions for expansion; academic researchers can conduct studies on climate change by subscribing to data on carbon dioxide emissions; and healthcare professionals can subscribe to aggregated data from historical clinical trials to accelerate their research activities. For data providers, AWS Data Exchange makes it easy to reach the millions of AWS customers migrating to the cloud by removing the need to build and maintain infrastructure for data storage, delivery, billing, and entitling. AWS Data Pipeline AWS Data Pipeline is a web service that helps you reliably process and move data between diﬀerent AWS compute and storage services, as well as on-premises data sources, at speciﬁed intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and eﬃciently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notiﬁcation system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos. AWS Entity Resolution AWS Entity Resolution is a service that helps you match and link related records stored across multiple applications, channels, and data stores without building a custom solution. Using ﬂexible, conﬁgurable ML and rule-based techniques, AWS Entity Resolution can remove duplicate records, create customer proﬁles by connecting diﬀerent customer interactions, and personalize experiences across advertising and marketing campaigns, loyalty programs, and e-commerce. For example, you can create a uniﬁed view of customer interactions by linking recent events, such as ad clicks, cart abandonment, and purchases, into a unique match ID. AWS Data Pipeline 16 Overview of Amazon Web Services AWS Whitepaper AWS Glue AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored in AWS, and AWS Glue discovers your data and stores the associated metadata (such as table deﬁnition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL. AWS Glue Data Integration Engines provide access to data using Apache Spark, PySpark, and Python. With the addition of AWS Glue for Ray, you can further scale your workloads using Ray, an open-source uniﬁed compute framework. AWS Glue Data Quality can measure and monitor the data quality of Amazon S3 based data lakes, data warehouses, and other data repositories. It automatically computes statistics, recommends quality rules, and can monitor and alert you when it detects missing, stale, or bad data. You can access it in the AWS Glue Data Catalog and in AWS Glue Data Catalog ETL jobs. AWS Lake Formation AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine diﬀerent types of analytics to gain insights and guide better business decisions. However, setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. This work includes loading data from diverse sources, monitoring those data ﬂows, setting up partitions, turning on encryption and managing keys, deﬁning transformation jobs and monitoring their operation, re-organizing data into a columnar format, conﬁguring access control settings, deduplicating redundant data, matching linked records, granting access to data sets, and auditing access over time. Creating a data lake with Lake Formation is as simple as deﬁning where your data resides and what data access and security policies you want to apply. Lake Formation then collects and catalogs data from databases and object storage, moves the data into your new Amazon S3 data lake, cleans and classiﬁes data using ML algorithms, and secures access to your sensitive data. Your users can then access a centralized catalog of data which describes available data sets and their appropriate usage. Your users then leverage these data sets with their choice of analytics and ML services, such AWS Glue 17 Overview of Amazon Web Services AWS Whitepaper as Amazon EMR for Apache Spark, Amazon Redshift, Amazon Athena, SageMaker, and Amazon QuickSight. Amazon Managed Streaming for Apache Kafka (Amazon MSK) Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power ML and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, conﬁgure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes. Amazon MSK makes it easy for you to build and run production applications on Apache Kafka without needing Apache Kafka infrastructure management expertise. That means you spend less time managing infrastructure and more time building applications. With a few clicks in the Amazon MSK console you can create highly available Apache Kafka clusters with settings and conﬁguration based on Apache Kafka’s deployment best practices. Amazon MSK automatically provisions and runs your Apache Kafka clusters. Amazon MSK continuously monitors cluster health and automatically replaces unhealthy nodes with no downtime to your application. In addition, Amazon MSK secures your Apache Kafka cluster by encrypting data at rest. Application integration Topics AWS Step Functions Amazon AppFlow AWS B2B Data Interchange Amazon EventBridge Amazon Managed Streaming for Apache Kafka (Amazon MSK) 18 Overview of Amazon Web Services AWS Whitepaper Amazon Managed Workﬂows for Apache Airﬂow (MWAA) Amazon MQ Amazon Simple Notiﬁcation Service Amazon Simple Queue Service Amazon Simple Workﬂow Service AWS Step Functions AWS Step Functions is a fully managed service that makes it easy to coordinate the components of distributed applications and microservices using visual workﬂows. Building applications from individual components that each perform a discrete function lets you scale easily and change applications quickly. Step Functions is a reliable way to coordinate components and step through the functions of your application. Step Functions provides a graphical console to arrange and visualize the components of your application as a series of steps. This makes it simple to build and run multi-step applications. Step Functions automatically initiates and tracks each step, and retries when there are errors, so your application runs in order and as expected. Step Functions logs the state of each step, so when things do go wrong, you can diagnose and debug problems quickly. You can change and add steps without even writing code, so you can easily evolve your application and innovate faster. Amazon AppFlow Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between Software-as-a-Service (SaaS) applications such as Salesforce, Zendesk, Slack, and ServiceNow, and AWS services such as Amazon S3 and Amazon Redshift, in just a few clicks. With Amazon AppFlow, you can run data ﬂows at enterprise scale at the frequency you choose - on a schedule, in response to a business event, or on demand. You can conﬁgure data transformation capabilities such as ﬁltering and validation to generate rich, ready-to-use data as part of the ﬂow itself, without additional steps. Amazon AppFlow; automatically encrypts data in motion, and allows users to restrict data from ﬂowing over the public internet for SaaS applications that are integrated with AWS PrivateLink, reducing exposure to security threats. AWS B2B Data Interchange AWS B2B Data Interchange (B2Bi) automates the transformation of Electronic Data Interchange (EDI) documents into JSON and XML formats to simplify your downstream data integrations. AWS Step Functions 19 Overview of Amazon Web Services AWS Whitepaper Businesses use EDI documents to exchange transactional data with trading partners, such as suppliers and end customers, using standardized formats such as X12. With B2Bi, you can onboard and manage your trading partners and automate the transformation of EDI documents into common data representations such as JSON and XML using a low-code interface. This approach reduces the time, complexity, and cost associated with preparing and integrating EDI data into their business applications and purpose-built data lakes. As a result, you can concentrate on using transactional data to drive business insights using the AWS suite of analytics, AI, and ML services. Amazon EventBridge Amazon EventBridge is a serverless event bus that makes it easier to build event-driven applications at scale using events generated from your applications, integrated Software-as- a-Service (SaaS) applications, and AWS services. EventBridge delivers a stream of real-time data from event sources such as Zendesk or Shopify to targets such as AWS Lambda and other SaaS applications. You can set up routing rules to determine where to send your data to build application architectures that react in real-time to your data sources with event publisher and consumer completely decoupled. Amazon Managed Workﬂows for Apache Airﬂow (MWAA) Amazon Managed Workﬂows for Apache Airﬂow (MWAA) is a managed orchestration service for Apache Airﬂow that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. Apache Airﬂow is an open-source tool used to programmatically author, schedule, and monitor sequences of processes and tasks referred to as “workﬂows.” With Managed Workﬂows, you can use Airﬂow and Python to create workﬂows without having to manage the underlying infrastructure for scalability, availability, and security. Managed Workﬂows automatically scales its workﬂow capacity to meet your needs, and is integrated with AWS security services to help provide you with fast and secure access to data. Amazon MQ Amazon MQ is a managed message broker service for Apache ActiveMQ Classic and RabbitMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow diﬀerent software systems–often using diﬀerent programming languages, and on diﬀerent platforms–to communicate and exchange information. Amazon MQ reduces your operational load Amazon EventBridge 20 Overview of Amazon Web Services AWS Whitepaper by managing the provisioning, setup, and maintenance of ActiveMQ and RabbitMQ, popular open- source message brokers. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS. Amazon Simple Notiﬁcation Service Amazon Simple Notiﬁcation Service (Amazon SNS) is a highly available, durable, secure, fully managed pub/sub messaging service that enables you to decouple microservices, distributed systems, and serverless applications. Amazon SNS provides topics for high-throughput, push- based, many-to-many messaging. Using Amazon SNS topics, your publisher systems can fan out messages to a large number of subscriber endpoints for parallel processing, including Amazon SQS queues, AWS Lambda functions, and HTTP/S webhooks. Additionally, SNS can be used to fan out notiﬁcations to end users using mobile push, SMS, and email. Amazon Simple Queue Service Amazon Simple Queue Service (Amazon SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on diﬀerentiating work. Using Amazon SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with Amazon SQS in minutes using the AWS Management Console, AWS CLI, or SDK of your choice, and three simple commands. Amazon SQS oﬀers two types of message queues. Standard queues oﬀer maximum throughput, best-eﬀort ordering, and at-least-once delivery. Amazon SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent. Amazon Simple Workﬂow Service Amazon Simple Workﬂow Service (Amazon SWF) helps developers build, run, and scale background jobs that have parallel or sequential steps. You can think of Amazon SWF as a fully-managed state tracker and task coordinator in the cloud. If your application’s steps take more than 500 milliseconds to complete, you need to track the state of processing. If you need to recover or retry if a task fails, Amazon SWF can help you. Amazon Simple Notiﬁcation Service 21 Overview of Amazon Web Services AWS Whitepaper Blockchain Amazon Managed Blockchain Amazon Managed Blockchain is a fully managed service that makes it easy to create and manage scalable blockchain networks using the popular open source frameworks Hyperledger Fabric and Ethereum. Blockchain makes it possible to build applications where multiple parties can run transactions without the need for a trusted, central authority. Today, building a scalable blockchain network with existing technologies is complex to set up and hard to manage. To create a blockchain network, each network member needs to manually provision hardware, install software, create and manage certiﬁcates for access control, and conﬁgure networking components. Once the blockchain network is running, you need to continuously monitor the infrastructure and adapt to changes, such as an increase in transaction requests, or new members joining or leaving the network. Amazon Managed Blockchain is a fully managed service that allows you to set up and manage a scalable blockchain network with just a few clicks. Amazon Managed Blockchain eliminates the overhead required to create the network, and automatically scales to meet the demands of thousands of applications running millions of transactions. Once your network is up and running, Managed Blockchain makes it easy to manage and maintain your blockchain network. It manages your certiﬁcates, lets you easily invite new members to join the network, and tracks operational metrics such as usage of compute, memory, and storage resources. In addition, Managed Blockchain can replicate an immutable copy of your blockchain network activity into Amazon Quantum Ledger Database (Amazon QLDB), a fully managed ledger database. This allows you to easily analyze the network activity outside the network and gain insights into trends. Business applications Topics Blockchain 22 Overview of Amazon Web Services AWS Whitepaper Alexa for Business AWS AppFabric Amazon Chime Amazon Chime SDK Amazon Connect Amazon Pinpoint Amazon SES Amazon WorkDocs Amazon WorkMail Alexa for Business Alexa for Business is a service that enables organizations and employees to use Alexa to get more work done. With Alexa for Business, employees can use Alexa as their intelligent assistant to be more productive in meeting rooms, at their desks, and even with the Alexa devices they already have at home. AWS AppFabric AWS AppFabric is a fully managed service that aggregates and normalizes security data across software as a service (SaaS) applications. Previously, integrating SaaS applications with existing security tools required teams to build, manage, and maintain their own point-to-point (P2P) integrations so that security teams could monitor event logs and understand activity from each application. With AppFabric, you can quickly connect multiple SaaS applications to increase observability, productivity, and security—with no coding required. After the SaaS applications are authorized and connected, AppFabric ingests the data and normalizes it using the Open Cybersecurity Schema Framework (OCSF). OCSF allows you to set common policies, standardize security alerts, and quickly manage user access across multiple applications. Amazon Chime Amazon Chime is a communications service that transforms online meetings with a secure, easy- to-use application that you can trust. Amazon Chime works seamlessly across your devices so that Alexa for Business 23 Overview of Amazon Web Services AWS Whitepaper you can stay connected. You can use Amazon Chime for online meetings, video conferencing, calls, chat, and to share content, both inside and outside your organization. Amazon Chime works with Alexa for Business, which means you can use Alexa to start your meetings with your voice. Alexa can start your video meetings in large conference rooms, and automatically dial into online meetings in smaller huddle rooms and from your desk. Amazon Chime SDK With the Amazon Chime SDK, builders can easily add real-time voice, video, and messaging powered by ML into their applications. Amazon Connect Amazon Connect is a self-service, omnichannel cloud contact center service that makes it easy for any business to deliver better customer service at lower cost. Amazon Connect is based on the same contact center technology used by Amazon customer service associates around the world to power millions of customer conversations. The self-service graphical interface in Amazon Connect makes it easy for non-technical users to design contact ﬂows, manage agents, and track performance metrics – no specialized skills required. There are no up-front payments or long- term commitments and no infrastructure to manage with Amazon Connect; customers pay by the minute for Amazon Connect usage plus any associated telephony services. Amazon Pinpoint Amazon Pinpoint makes it easy to send targeted messages to your customers through multiple engagement channels. Examples of targeted campaigns are promotional alerts and customer retention campaigns, and transactional messages are messages such as order conﬁrmations and password reset messages. You can integrate Amazon Pinpoint into your mobile and web apps to capture usage data to provide you with insight into how customers interact with your apps. Amazon Pinpoint also tracks the ways that your customers respond to the messages you send—for example, by showing you the number of messages that were delivered, opened, or clicked. You can develop custom audience segments and send them pre-scheduled targeted campaigns via email, SMS, and push notiﬁcations. Targeted campaigns are useful for sending promotional or educational content to re-engage and retain your users. Amazon Chime SDK 24 Overview of Amazon Web Services AWS Whitepaper You can send transactional messages using the console or the Amazon Pinpoint REST API. Transactional campaigns can be sent via email, SMS, push notiﬁcations, and voice messages. You can also use the API to build custom applications that deliver campaign and transactional messages. Amazon SES Amazon Simple Email Service (Amazon SES) is a cost-eﬀective, ﬂexible, and scalable email service that enables developers to send mail from within any application. You can conﬁgure Amazon SES quickly to support several email use cases, including transactional, marketing, or mass email communications. The Amazon SES ﬂexi

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