Podcast
Questions and Answers
In the context of AWS compute services, which of the following scenarios would most effectively leverage the capabilities of AWS Lambda over Amazon EC2?
In the context of AWS compute services, which of the following scenarios would most effectively leverage the capabilities of AWS Lambda over Amazon EC2?
- A microservices architecture where individual services need to scale independently and respond to events with minimal operational overhead. (correct)
- A long-running batch processing job that requires persistent compute resources and direct operating system access for performance tuning.
- An e-commerce platform that needs to handle predictable traffic patterns and requires consistent performance with dedicated resources.
- A traditional three-tier web application requiring full control over the underlying infrastructure for security compliance and legacy application support.
Considering a scenario where an organization aims to minimize operational overhead while deploying containerized applications on AWS, which service offers the most streamlined approach, abstracting away the complexities of managing the underlying infrastructure?
Considering a scenario where an organization aims to minimize operational overhead while deploying containerized applications on AWS, which service offers the most streamlined approach, abstracting away the complexities of managing the underlying infrastructure?
- Amazon EC2 with manual container orchestration using Docker Compose.
- Amazon Elastic Beanstalk with preconfigured Docker environments.
- Amazon Elastic Kubernetes Service (Amazon EKS) with self-managed worker nodes.
- AWS Fargate, launched through Amazon Elastic Container Service (Amazon ECS). (correct)
An enterprise architect is tasked with designing a hybrid cloud solution that extends their on-premises VMware environment to AWS. Which AWS compute service provides seamless integration with existing VMware infrastructure, minimizing the need for refactoring applications?
An enterprise architect is tasked with designing a hybrid cloud solution that extends their on-premises VMware environment to AWS. Which AWS compute service provides seamless integration with existing VMware infrastructure, minimizing the need for refactoring applications?
- AWS Outposts for deploying AWS infrastructure on-premises.
- Amazon EC2 with a custom-built migration tool.
- VMware Cloud on AWS. (correct)
- AWS Serverless Application Repository.
A financial services company requires a highly secure and compliant environment for running its core banking application on AWS. They need granular control over the underlying infrastructure and the ability to customize the operating system. Which compute service best meets these stringent requirements?
A financial services company requires a highly secure and compliant environment for running its core banking application on AWS. They need granular control over the underlying infrastructure and the ability to customize the operating system. Which compute service best meets these stringent requirements?
A research institution needs to perform complex simulations involving millions of independent tasks. They require a compute service that can efficiently distribute these tasks across a large number of processing units with minimal overhead. Which service is most suitable for this High Performance Computing (HPC) workload?
A research institution needs to perform complex simulations involving millions of independent tasks. They require a compute service that can efficiently distribute these tasks across a large number of processing units with minimal overhead. Which service is most suitable for this High Performance Computing (HPC) workload?
An IoT startup is developing a platform that ingests and processes data from thousands of sensors in real-time. They need a highly scalable and cost-effective compute service that can automatically adjust resources based on fluctuating data volumes. Which service is the optimal choice for this dynamic workload?
An IoT startup is developing a platform that ingests and processes data from thousands of sensors in real-time. They need a highly scalable and cost-effective compute service that can automatically adjust resources based on fluctuating data volumes. Which service is the optimal choice for this dynamic workload?
A global media company is deploying a content delivery network (CDN) to distribute video content to users across multiple geographic regions. They need a compute service that can be deployed close to their end-users to minimize latency and improve the viewing experience. Which service offers the most flexibility in terms of geographic deployment and edge computing capabilities?
A global media company is deploying a content delivery network (CDN) to distribute video content to users across multiple geographic regions. They need a compute service that can be deployed close to their end-users to minimize latency and improve the viewing experience. Which service offers the most flexibility in terms of geographic deployment and edge computing capabilities?
In a highly distributed microservices architecture predicated on containerization, what ramifications would the strategic decision to consolidate multiple disparate services with loosely coupled dependencies into a single, monolithic container image have on the system's overall resilience and blast radius during a software defect propagation event?
In a highly distributed microservices architecture predicated on containerization, what ramifications would the strategic decision to consolidate multiple disparate services with loosely coupled dependencies into a single, monolithic container image have on the system's overall resilience and blast radius during a software defect propagation event?
Considering a scenario where a Docker container, encapsulating a critical data processing pipeline, exhibits intermittent performance degradation attributed to resource contention on the underlying host OS, what advanced kernel-level tuning methodologies could be employed, without modifying the container image or application code, to mitigate the observed performance bottleneck with minimal disruption to co-tenant containers?
Considering a scenario where a Docker container, encapsulating a critical data processing pipeline, exhibits intermittent performance degradation attributed to resource contention on the underlying host OS, what advanced kernel-level tuning methodologies could be employed, without modifying the container image or application code, to mitigate the observed performance bottleneck with minimal disruption to co-tenant containers?
In the context of securing a multi-tenant container orchestration platform, which of the following strategies offers the most robust defense against privilege escalation attacks originating from within a compromised container, assuming that seccomp profiles and AppArmor policies are already in place?
In the context of securing a multi-tenant container orchestration platform, which of the following strategies offers the most robust defense against privilege escalation attacks originating from within a compromised container, assuming that seccomp profiles and AppArmor policies are already in place?
Given a scenario where a stateful application, containerized using Docker, requires persistent storage with high availability and fault tolerance across multiple availability zones in a cloud environment, which storage solution would be most suitable, considering factors such as data consistency, performance overhead, and operational complexity?
Given a scenario where a stateful application, containerized using Docker, requires persistent storage with high availability and fault tolerance across multiple availability zones in a cloud environment, which storage solution would be most suitable, considering factors such as data consistency, performance overhead, and operational complexity?
When orchestrating a complex workflow using Docker containers within a resource-constrained edge computing environment, where network bandwidth is intermittent and latency-sensitive operations are paramount, what container optimization strategy would yield the most significant reduction in image size and startup time without compromising application functionality or security?
When orchestrating a complex workflow using Docker containers within a resource-constrained edge computing environment, where network bandwidth is intermittent and latency-sensitive operations are paramount, what container optimization strategy would yield the most significant reduction in image size and startup time without compromising application functionality or security?
In a scenario where a financial institution requires strict adherence to regulatory compliance and needs to ensure complete isolation of their EC2 instances at the hardware level, which Amazon EC2 pricing model would be the MOST suitable, considering both cost efficiency and compliance needs?
In a scenario where a financial institution requires strict adherence to regulatory compliance and needs to ensure complete isolation of their EC2 instances at the hardware level, which Amazon EC2 pricing model would be the MOST suitable, considering both cost efficiency and compliance needs?
An ML engineer is designing a distributed training pipeline for a deep learning model. The training job can tolerate interruptions and needs to process a massive dataset within a limited budget. Which EC2 pricing model offers the MOST cost-effective solution for this scenario, considering the potential for interruptions and the scale of the workload?
An ML engineer is designing a distributed training pipeline for a deep learning model. The training job can tolerate interruptions and needs to process a massive dataset within a limited budget. Which EC2 pricing model offers the MOST cost-effective solution for this scenario, considering the potential for interruptions and the scale of the workload?
A high-frequency trading firm requires guaranteed compute capacity with ultra-low latency for executing trades. They need a pricing model that ensures instances are always available within a specific Availability Zone. Which EC2 pricing model BEST addresses these stringent requirements?
A high-frequency trading firm requires guaranteed compute capacity with ultra-low latency for executing trades. They need a pricing model that ensures instances are always available within a specific Availability Zone. Which EC2 pricing model BEST addresses these stringent requirements?
Given a scenario where a financial services company requires immutable infrastructure for regulatory compliance while also needing to run containerized workloads that interact with legacy systems, which combination of AWS services would be MOST suitable, considering the need for both control and compliance?
Given a scenario where a financial services company requires immutable infrastructure for regulatory compliance while also needing to run containerized workloads that interact with legacy systems, which combination of AWS services would be MOST suitable, considering the need for both control and compliance?
A bioinformatics company is performing complex genomic analysis, and they have a strict policy requiring them to use existing software licenses tied to specific physical servers. Which EC2 pricing model is MOST appropriate for this scenario?
A bioinformatics company is performing complex genomic analysis, and they have a strict policy requiring them to use existing software licenses tied to specific physical servers. Which EC2 pricing model is MOST appropriate for this scenario?
A global media company is experiencing unpredictable traffic spikes and requires a highly scalable solution to host its web applications. They want to minimize operational overhead and focus primarily on code development. Which AWS service configuration would provide the MOST efficient and cost-effective solution, considering both rapid scaling and ease of management?
A global media company is experiencing unpredictable traffic spikes and requires a highly scalable solution to host its web applications. They want to minimize operational overhead and focus primarily on code development. Which AWS service configuration would provide the MOST efficient and cost-effective solution, considering both rapid scaling and ease of management?
An e-commerce company experiences significant traffic spikes during flash sales and needs to scale its infrastructure dynamically to handle the load efficiently. What combination of EC2 pricing models would be MOST suitable to achieve optimal cost management and performance?
An e-commerce company experiences significant traffic spikes during flash sales and needs to scale its infrastructure dynamically to handle the load efficiently. What combination of EC2 pricing models would be MOST suitable to achieve optimal cost management and performance?
An organization seeks to adopt a microservices architecture using containers, requiring fine-grained control over networking and security policies at the pod level. Considering the need for advanced customization and integration with other cloud-native tools, which orchestration platform BEST suits these requirements?
An organization seeks to adopt a microservices architecture using containers, requiring fine-grained control over networking and security policies at the pod level. Considering the need for advanced customization and integration with other cloud-native tools, which orchestration platform BEST suits these requirements?
A research institution needs to execute complex computational simulations using a large number of containers, with each container requiring access to high-performance computing (HPC) resources and optimized networking. Which AWS service and configuration would be OPTIMAL for managing these containerized HPC workloads?
A research institution needs to execute complex computational simulations using a large number of containers, with each container requiring access to high-performance computing (HPC) resources and optimized networking. Which AWS service and configuration would be OPTIMAL for managing these containerized HPC workloads?
A research lab is running simulations that can be checkpointed and restarted. They need to minimize costs while processing a large volume of jobs over several weeks. Which EC2 pricing model is BEST suited to their needs?
A research lab is running simulations that can be checkpointed and restarted. They need to minimize costs while processing a large volume of jobs over several weeks. Which EC2 pricing model is BEST suited to their needs?
A SaaS provider wants to offer its customers dedicated environments with predictable performance. Which combination of EC2 pricing models would BEST suit the SaaS provider to achieve optimal resource utilization and cost-effectiveness?
A SaaS provider wants to offer its customers dedicated environments with predictable performance. Which combination of EC2 pricing models would BEST suit the SaaS provider to achieve optimal resource utilization and cost-effectiveness?
A rapidly growing e-commerce company is adopting Infrastructure as Code (IaC) and requires a container orchestration service that seamlessly integrates with their existing HashiCorp Terraform workflows. Which AWS service for container management would offer the MOST straightforward and efficient integration with Terraform?
A rapidly growing e-commerce company is adopting Infrastructure as Code (IaC) and requires a container orchestration service that seamlessly integrates with their existing HashiCorp Terraform workflows. Which AWS service for container management would offer the MOST straightforward and efficient integration with Terraform?
A startup is developing a new application and anticipates rapid growth but has limited initial capital. They need the MOST cost-effective EC2 option, but capacity must be available on short notice. What is the BEST suited EC2 pricing option for the early stages of this startup?
A startup is developing a new application and anticipates rapid growth but has limited initial capital. They need the MOST cost-effective EC2 option, but capacity must be available on short notice. What is the BEST suited EC2 pricing option for the early stages of this startup?
A SaaS provider is migrating its monolithic application to a microservices architecture, necessitating a solution that supports Canary deployments and blue/green deployments with minimal downtime. Which AWS container orchestration service, combined with specific deployment strategies, would BEST facilitate these requirements?
A SaaS provider is migrating its monolithic application to a microservices architecture, necessitating a solution that supports Canary deployments and blue/green deployments with minimal downtime. Which AWS container orchestration service, combined with specific deployment strategies, would BEST facilitate these requirements?
A defense contractor is required to run containerized workloads within a highly regulated environment, necessitating strict compliance with FedRAMP and the ability to audit all container activities comprehensively. Considering these rigorous security requirements, which AWS container orchestration service would be MOST appropriate?
A defense contractor is required to run containerized workloads within a highly regulated environment, necessitating strict compliance with FedRAMP and the ability to audit all container activities comprehensively. Considering these rigorous security requirements, which AWS container orchestration service would be MOST appropriate?
A media company is creating a large-scale video transcoding pipeline with variable workloads and tight deadlines. Which of the following strategies represents the MOST efficient combination of EC2 pricing models to balance cost and timely completion?
A media company is creating a large-scale video transcoding pipeline with variable workloads and tight deadlines. Which of the following strategies represents the MOST efficient combination of EC2 pricing models to balance cost and timely completion?
A data science team needs to deploy and manage containerized machine learning models that require GPU acceleration and optimized resource utilization. Which AWS service and instance type combination would provide the MOST efficient and cost-effective solution for this scenario?
A data science team needs to deploy and manage containerized machine learning models that require GPU acceleration and optimized resource utilization. Which AWS service and instance type combination would provide the MOST efficient and cost-effective solution for this scenario?
A global consulting firm operates under strict data residency requirements, mandating that client data remains within specific geographic boundaries. Which EC2 pricing model configuration BEST supports these requirements while optimizing costs for variable project workloads?
A global consulting firm operates under strict data residency requirements, mandating that client data remains within specific geographic boundaries. Which EC2 pricing model configuration BEST supports these requirements while optimizing costs for variable project workloads?
An IoT company needs to deploy containerized applications to edge devices with limited resources and intermittent network connectivity. Considering the constraints of these edge environments, which AWS service or combination of services would provide the MOST suitable solution for managing and orchestrating containers at the edge?
An IoT company needs to deploy containerized applications to edge devices with limited resources and intermittent network connectivity. Considering the constraints of these edge environments, which AWS service or combination of services would provide the MOST suitable solution for managing and orchestrating containers at the edge?
In scenarios characterized by spiky workloads and unpredictable demands, what is the most critical trade-off assessment that an architect must undertake when choosing between On-Demand Instances and Spot Instances, assuming strict adherence to budgetary constraints and minimal tolerance for service interruption?
In scenarios characterized by spiky workloads and unpredictable demands, what is the most critical trade-off assessment that an architect must undertake when choosing between On-Demand Instances and Spot Instances, assuming strict adherence to budgetary constraints and minimal tolerance for service interruption?
For an organization subject to stringent regulatory mandates regarding data sovereignty and requiring complete, verifiable control over the physical infrastructure, which Amazon EC2 deployment option offers the most suitable architecture, and what specific auditing mechanisms must be implemented to ensure continuous compliance?
For an organization subject to stringent regulatory mandates regarding data sovereignty and requiring complete, verifiable control over the physical infrastructure, which Amazon EC2 deployment option offers the most suitable architecture, and what specific auditing mechanisms must be implemented to ensure continuous compliance?
Considering a scenario where an application's architecture necessitates running compute workloads close to a specific geographic location to minimize latency for end-users while also requiring adherence to local data residency laws, which combination of AWS services and EC2 pricing models would provide the most optimized solution?
Considering a scenario where an application's architecture necessitates running compute workloads close to a specific geographic location to minimize latency for end-users while also requiring adherence to local data residency laws, which combination of AWS services and EC2 pricing models would provide the most optimized solution?
An organization is migrating a legacy application to AWS which exhibits unpredictable resource utilization patterns and is highly sensitive to performance degradation. What multi-faceted strategy should be employed, leveraging diverse EC2 pricing models and advanced monitoring techniques, to ensure optimal cost-efficiency without compromising application responsiveness?
An organization is migrating a legacy application to AWS which exhibits unpredictable resource utilization patterns and is highly sensitive to performance degradation. What multi-faceted strategy should be employed, leveraging diverse EC2 pricing models and advanced monitoring techniques, to ensure optimal cost-efficiency without compromising application responsiveness?
In the context of deploying a highly distributed microservices architecture across multiple AWS regions, what advanced strategies can be implemented using a combination of EC2 pricing models, containerization technologies, and service mesh architectures to optimize for both infrastructure costs and inter-service communication latency?
In the context of deploying a highly distributed microservices architecture across multiple AWS regions, what advanced strategies can be implemented using a combination of EC2 pricing models, containerization technologies, and service mesh architectures to optimize for both infrastructure costs and inter-service communication latency?
When architecting a hybrid cloud environment that includes both on-premises data centers and AWS, what intricate factors must be considered when selecting the appropriate EC2 pricing model for migrating and running virtualized workloads in AWS, assuming the need for seamless integration with existing on-premises systems and compliance with stringent data governance policies?
When architecting a hybrid cloud environment that includes both on-premises data centers and AWS, what intricate factors must be considered when selecting the appropriate EC2 pricing model for migrating and running virtualized workloads in AWS, assuming the need for seamless integration with existing on-premises systems and compliance with stringent data governance policies?
How should an organization leverage the combination of AWS Cost Explorer, AWS Budgets, and detailed EC2 instance usage data to proactively identify and mitigate instances of cost overrun stemming from inefficient resource allocation or underutilized Reserved Instances, taking into account complex organizational hierarchies and chargeback models?
How should an organization leverage the combination of AWS Cost Explorer, AWS Budgets, and detailed EC2 instance usage data to proactively identify and mitigate instances of cost overrun stemming from inefficient resource allocation or underutilized Reserved Instances, taking into account complex organizational hierarchies and chargeback models?
An e-commerce company anticipates a massive surge in traffic during a flash sale event. Which combination of EC2 Auto Scaling strategies, load balancing techniques, and caching mechanisms should be employed alongside appropriate EC2 pricing models to handle the increased load while minimizing infrastructure costs and ensuring optimal website performance for all users, and accounting for potential DDoS attacks?
An e-commerce company anticipates a massive surge in traffic during a flash sale event. Which combination of EC2 Auto Scaling strategies, load balancing techniques, and caching mechanisms should be employed alongside appropriate EC2 pricing models to handle the increased load while minimizing infrastructure costs and ensuring optimal website performance for all users, and accounting for potential DDoS attacks?
In the context of high-performance computing (HPC) workloads such as computational fluid dynamics or genomic sequencing characterized by substantial memory and CPU requirements, what comprehensive orchestration strategy, combined with a nuanced understanding of EC2 instance types and networking configurations, can be implemented to optimize for both computational throughput and inter-node communication latency?
In the context of high-performance computing (HPC) workloads such as computational fluid dynamics or genomic sequencing characterized by substantial memory and CPU requirements, what comprehensive orchestration strategy, combined with a nuanced understanding of EC2 instance types and networking configurations, can be implemented to optimize for both computational throughput and inter-node communication latency?
For an organization involved in processing highly sensitive personal data subject to GDPR and CCPA regulations, what architectural blueprint, incorporating Dedicated Hosts, AWS Key Management Service (KMS), and end-to-end encryption techniques, ensures compliance with data residency and security requirements while maintaining the agility afforded by cloud infrastructure?
For an organization involved in processing highly sensitive personal data subject to GDPR and CCPA regulations, what architectural blueprint, incorporating Dedicated Hosts, AWS Key Management Service (KMS), and end-to-end encryption techniques, ensures compliance with data residency and security requirements while maintaining the agility afforded by cloud infrastructure?
Flashcards
What are containers?
What are containers?
OS virtualization method, packages an application with all its dependencies.
Container Benefits?
Container Benefits?
Run the same way across different environments, like a developer's laptop, test / production.
Container Speed?
Container Speed?
Launch / terminate much faster than virtual machines saving time and system resources.
What is inside a container?
What is inside a container?
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Containers provide..?
Containers provide..?
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Amazon LightSail
Amazon LightSail
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Amazon EC2
Amazon EC2
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AWS Lambda
AWS Lambda
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Instance-based
Instance-based
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Function-based
Function-based
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Infrastructure as a Service (IaaS)
Infrastructure as a Service (IaaS)
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Serverless computing
Serverless computing
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AWS Fargate
AWS Fargate
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AWS Elastic Beanstalk
AWS Elastic Beanstalk
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Cloud Compute Services
Cloud Compute Services
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EC2 Instance Control
EC2 Instance Control
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Amazon Machine Images (AMIs)
Amazon Machine Images (AMIs)
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EC2 Traffic Control
EC2 Traffic Control
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Scheduled Reserved Instances
Scheduled Reserved Instances
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Dedicated Host
Dedicated Host
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Dedicated Instance
Dedicated Instance
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On-Demand Instances
On-Demand Instances
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Spot Instances
Spot Instances
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Reserved Instances
Reserved Instances
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Spot Instance Use Cases
Spot Instance Use Cases
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Reserved Instance Benefits
Reserved Instance Benefits
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Dedicated Host Benefits
Dedicated Host Benefits
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Dedicated Host Compliance
Dedicated Host Compliance
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On-Demand Use Case
On-Demand Use Case
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Reserved Instance Use Case
Reserved Instance Use Case
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Dedicated Host Use Case
Dedicated Host Use Case
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Virtual Machine
Virtual Machine
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Container
Container
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Study Notes
Lab Feedback
- When facing lab challenges, it can be helpful take a step back and retrace to identify where things went wrong
- Logically assess the issue, formulating a hypothesis and testing it
AWS LightSail
- Amazon LightSail facilitates web server launching and management through AWS
AWS Compute Services
- Amazon Web Services (AWS) offers many compute services discussed throughout the notes
- AWS provides several compute services, including EC2, Lambda, ECS, EKS, Fargate, ECR, and Elastic Beanstalk
Categorizing Compute Services
- AWS Lambda is serverless, function-based, and low-cost, allowing on-demand code deployment that is triggered by events
- Amazon EC2 offers Infrastructure as a Service (IaaS) with instance-based virtual machines, familiar to IT professionals
- Amazon ECS, EKS, Fargate, and ECR provide container-based computing on an instance basis
- AWS Elastic Beanstalk is a Platform as a Service (PaaS) tailored for web applications, offering easy startup
- Organizations can opt to "rent" server compute space and capabilities, rather than hosting servers themselves
- The services of AWS eliminate the need to purchase physical servers or maintain data centers on-premises
AWS Elastic Compute Cloud (EC2)
- Amazon Elastic Compute Cloud (Amazon EC2) offers virtual machines, referred to as EC2 instances, in the cloud
- EC2 provides full control over the guest operating system (Windows or Linux) installed in each instance
- EC2 allows the launching of instances in any size within an Availability Zone around the world
- Instances can be launched via Amazon Machine images (AMIs) with a few clicks, or a line of code, ready in minutes
- User controls traffic to and from the instances.
- Through EC2 users can create virtual computers called instances
- Every instance called EC2 has CPU, Network card, OS, Hard drive, Firewall, and RAM to run
- Users pay per use to run their own computer application on EC2
- The service quickly allows to scale capacity, both up and down, as per computing changes
- Users have full control over the geographical location of instance created
- EC2 is fully integrated with most of the AWS services (S3, RDS)
- The selection of instance type should be based on use case such as, Broad, High performance, Machine Learning etc
Amazon EC2 Storage Options
- Amazon Elastic Block Store (Amazon EBS) offers durable, block-level storage volumes, keeping data even after instance stoppage
- Amazon EC2 Instance Store provides ephemeral storage on local disks, which will be deleted when the instance stops
- Other storage options include mounting the Amazon Elastic File System (Amazon EFS) or connecting to Amazon Simple Storage Service (Amazon S3)
EC2 Cost Optimization
- EC2 on demand instances provide low-cost with high flexibility
- EC2 spot instances provide the benefit of large scaled, dynamic workload
- EC2 Reserved Instances ensures compute capacity is available when needed
- Dedicated hosts on EC2 help save money on licensing costs and meet regulatory compliance
Amazon EC2 Pricing Models
- Amazon EC2 offers On-Demand Instances, enabling pay-by-the-hour, no-commitment usage, suitable for short-term or unpredictable workloads
- Reserved Instances offer discounted hourly charges for instances reserved for 1 or 3-year terms
- Spot Instances provide potentially lower prices but can be interrupted with a 2-minute notification
- Dedicated Hosts offer dedicated physical servers, while Dedicated Instances run in a hardware-dedicated VPC
- Scheduled Reserved Instances enable purchasing capacity reservations available on a specified recurring schedule
- Amazon EC2 provides per-second billing for On-Demand, Reserved, and Spot Instances running Amazon Linux or Ubuntu
Container Services
- Containers offer a method of operating system virtualization
- Docker is a software platform for building, testing, as well as quickly deploying applications
Container Basics
- Container technology offers benefits like repeatability and self-contained environments, ensuring consistent software operation across different environments
- Containers enable faster launch, stop, or termination compared to virtual machines
- Containers involve packaging an application with all its dependencies into a single image for consistency across environments
- A container includes configurations, dependencies, and operating system hooks necessary for the application
- In contrast to virtual machines, containers share the host system's kernel, making them lighter and more efficient
Docker Containers
- Docker containers are standard unit of software that holds the complete runtime, including application dependencies
- Containers can be considered a Lightweight VM
- Docker containers have everything the software needs to run, like Libraries, Code, and Runtime Environments
- Docker containers are created from a template called an image
AWS Elastic Container Service (ECS)
- Amazon Elastic Container Service (ECS) offers orchestration service and container management service
- Elastic Container Service (ECS) is integrated with familiar Amazon EC2 service features like Elastic Load Balancing, Amazon EC2 security groups, Amazon EBS volumes, and IAM roles
- Amazon ECS orchestrates the running of Docker containers, maintains/scales fleets, as well as reduces the complexity of setting up the infrastructure
Kubernetes
- Kubernetes is open-source software for container orchestration, allowing for deployment and management of applications at scale
- Kubernetes complements Docker by orchestrating multiple Docker hosts/nodes to run multiple containers on an OS host
- Kubernetes automates container provisioning, networking, load distribution, and scaling
- Kubernetes isolates processes
- Kubernetes handles server monitoring, auto repair, and auto scaling
- Kubernetes has autoscaling capabilities
- Kubernetes handles container monitoring and management, including functions such as auto restart failed containers
AWS Lambda
- AWS Lambda allows users to upload functions to the service
- Users can also upload layers to be used on the server
- AWS Lambda provides multiple programming languages
- AWS lambda runs completely automated administration
- AWS Lambda supports Built-in fault tolerance
- AWS Lambda supports the orchestration of multiple functions
- AWS Lambda provides Pay-per-use pricing
- AWS Lambda allows for an alternative invocation of function via the Lambda console, AWS SDK, or AWS CLI
- AWS Lambda provides event sources for amazon S3 through amazon cloudwatch
AWS Elastic Beanstalk
- AWS Elastic Beanstalk simplifies web application deployments and runs written for Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker
- AWS Elastic Beanstalk handles infrastructure provisioning, deployment, load balancing, auto-scaling, health monitoring, analysis, debugging, and logging
- AWS Elastic Beanstalk operates as a managed service, handling infrastructure provisioning and configuration, deployment, and load balancing
- There are no additional charges for Elastic Beanstalk beyond the resources used
- Elastic Beanstalk automatically handles deployment on servers such as Apache, NGINX, Passenger, Puma, and Microsoft Internet Information Services (IIS)
AWS Storage Services
- Different costs are associated with file access and durability, there is a storage for almost every level
- Storage services by AWS include Storage Gateway, S3, FSx etc
- Data storage includes simple storage service (S3), block Store (EBS), Glacier
Simple Storage Service (S3)
- Simple Storage Service (S3) offers distributed cloud object storage across Availability Zones
- S3 offers fully automatic data classification support for moving data from less to more expensive storage, has a big unlimited storage bucket option
- S3 is similar to Dropbox for mass and long-term data storage
- S3 enables direct big data analytics processing
- S3 stores each file (called an object) as a separate entity
- Amazon S3 is reliable with 99.999999999% durability, offers easy-to-use management features to fine-tune access controls
- S3 is simple, durable, scalable, and secure
- S3 allows web service interface to store data
- Storing information on EC2 local storage is not permanent due to how the instances work
- S3 is useful for uploading web files/data, storing files for mobile applications/enterprise applications
- 1A of S3 stands for (1 zone, least expensive)
- S3 is highly durable and available
- S3 storage classes include Standard, Intelligent-Tiering, Glacier as well as Standard-Infrequent Access
- S3 storage class includes One Zone-Infrequent Access and Glacier Deep Archive.
- You can transfer files to a cheaper location using S3 lifecycle policies
Different S3 Storage Class Tiers
- S3 lifecycle policies enable automatic file transfers between storage classes over time
Amazon Elastic Block Store (EBS)
- Amazon Elastic Block Store (EBS) supports attachment to EC2 instances and is used by Amazon Relational Database Services (RDS)
- Amazon Elastic Block Store (EBS) provides unformatted raw block storage attached to an EC2 instance
- Amazon Elastic Block Store (EBS)' configurations can be changed from the management console, which means it is dynamically configurable
- Amazon Elastic Block Store (EBS) is automatically replicated within its availability zone
- Adding multiple EBS volumes is possible to one EC2 instance and are often used as file systems
- EC2 uses different types of EBS storage for varying needs and budgets, and these are can be encrypted independently from EC2 instances
- You can think of EBS as an external drive for EC2 servers
Block storage versus object storage
- Only the part that contains the character has to be changed within Block Storage
- Block storage involved changing one character in 1-GB file
- All Blocks have to be updated on Object Storage
- Object storage involves changing one character in 1-GB file
Amazon Glacier
- Amazon Glacier is cheaper to store and more expensive to retrieve than Amazon EBS
- A Snowball is used for large amounts of data transfer
- It is not practical to move vast amounts of data using a regular network connection
- AWS physically ships a Snowball to migrate data and later ships it back
- Snowballs support usage for 10 days with additional usage service fees
AWS Snowball
- A data migration tool can function as a dedicated a storage device.
- Snowmobile can move 50 terabytes with regular Snowball up to 100 petabytes
- A snowball is device that migrates large files that are uploaded into AWS S3
- S3 uploads the transferred files from the snowball
- A snowball functions as a storage device
- Service fees and storage fee apply
- Shipping can be faster than cloud upload
Amazon Storage Gateway
- The storage gateway enables accessing AWS storage as local storage through a VPN connection
- Amazon Storage Gateway offers data storage and replication locally with cloud synchronization
- AWS provides its service through the VPN connection storage gateway
Storage Use Case
- Static websites that operate by requiring no actions to take place on the server , can be stored on S3
- S3 can store Static website files (HTML, CSS, etc)
- Dynamic websites that require actions to take place on the web server have to hosted on a virtual machine
- Dynamic/interactive website files (JS, Python, PHP, etc)
Key Terms
- Storage for specific Amazon Elastic Compute Cloud instances
- Amazon Elastic Block Store is thought of as a storage drive for EC2 instances
- Elastic Compute Cloud is thought of as a virtual machine
More Key infrastructure Terms
- A slower storage that uses a spinning disk to store data is know as Hard Disk Drive (HDD)
- A very fast storage that uses flash memory instead of a spinning disk is a Solid State Drive (SSD)
- IOPS is a measurement to demonstrate the benchmark of a computer storage
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Explore AWS compute services including Lambda and EC2. Determine best use cases for minimizing overhead deploying containerized applications and hybrid cloud solutions. Learn about secure compliant environments for financial applications.
