AWS Services and Concepts PDF

AWS Services and Concepts Compute Services 1. EC2 (Elastic Compute Cloud) - Definition: Virtual server service for running applications and workloads. - Use Case: Run web servers, databases, and enterprise applications. - Key Features: Scalable, flexible, secure, and highly available. 2. Lam...

AWS Services and Concepts Compute Services 1. EC2 (Elastic Compute Cloud) - Definition: Virtual server service for running applications and workloads. - Use Case: Run web servers, databases, and enterprise applications. - Key Features: Scalable, flexible, secure, and highly available. 2. Lambda (Serverless compute) - Definition: Serverless compute service for running code in response to events. - Use Case: Process real-time data streams, integrate with other AWS services, and build serverless applications. - Key Features: Scalable, secure, and cost-effective. 3. Fargate (Containerized applications) - Definition: Container orchestration service for running containerized applications. - Use Case: Run containerized applications without managing servers or clusters. - Key Features: Scalable, secure, and cost-effective. 4. Elastic Beanstalk (Managed application deployment) - Definition: Managed service for deploying web applications and services. - Use Case: Deploy web applications and services without managing infrastructure. - Key Features: Scalable, secure, and cost-effective. 5. Amazon Lightsail (Simplified cloud hosting) - Definition: Simplified cloud hosting service for running web applications. - Use Case: Run web applications without managing infrastructure. - Key Features: Easy to use, scalable, and cost-effective. 6. ECS (Elastic Container Service)  - Definition: Container orchestration service for running containerized applications. - Use Case: Run containerized applications in a scalable and secure manner. - Key Features: Scalable, secure, and cost-effective. Storage Services 1. Amazon S3 (Object storage) - Definition: Object storage service for storing and retrieving large amounts of data. - Use Case: Store and serve website images, videos, and files. - Key Features: Durable, scalable, secure, and highly available. 2. Amazon EBS (Block storage) - Definition: Block storage service for storing data in blocks. - Use Case: Store data for applications that require low-latency and high- throughput. - Key Features: Scalable, secure, and highly available. 3. Amazon EFS (File storage) - Definition: File storage service for storing and sharing files. - Use Case: Store and share files between applications and users. - Key Features: Scalable, secure, and highly available. 4. Amazon Glacier (Archival storage) - Definition: Archival storage service for storing infrequently accessed data. - Use Case: Store and archive data that is infrequently accessed. - Key Features: Scalable, secure, and cost-effective. Database Services 1. Amazon RDS (Relational database)  - Definition: Relational database service for storing and querying data. - Use Case: Run databases for web applications, enterprise software, and analytics. - Key Features: Scalable, secure, and highly available. 2. DynamoDB (NoSQL database) - Definition: NoSQL database service for storing and querying large amounts of data. - Use Case: Store and query large amounts of data for real-time applications. - Key Features: Scalable, secure, and highly available. 3. Redshift (Data warehousing) - Definition: Data warehousing service for storing and analyzing large amounts of data. - Use Case: Store and analyze large amounts of data for business intelligence and analytics. - Key Features: Scalable, secure, and highly available. 4. Amazon ElastiCache (In-memory caching) - Definition: In-memory caching service for improving application performance. - Use Case: Improve application performance by caching frequently accessed data. - Key Features: Scalable, secure, and highly available. Networking 1. Elastic Load Balancers (ELB) - Definition: Load balancing service for distributing traffic to applications. - Use Case: Distribute traffic to applications for high availability and scalability. - Key Features: Scalable, secure, and highly available. 2. Security Groups - Definition: Service for controlling inbound and outbound traffic to instances. - Use Case: Control inbound and outbound traffic to instances for security.  - Key Features: Scalable, secure, and highly available. Purpose: Acts as a virtual firewall for instances to control inbound and outbound traffic. Scope: Operates at the instance level. Statefulness: Stateful. Changes to inbound rules automatically apply to outbound rules. Rules:Allows only "allow" rules. Rules are evaluated cumulatively. Default Behavior: All inbound traffic is denied. All outbound traffic is allowed. Application: Applied directly to instances. Number of Rules: Supports up to 60 inbound and 60 outbound rules per group (can be increased). 3. Network ACLs (NACLs) - Definition: Service for controlling traffic to subnets. - Use Case: Control traffic to subnets for security. - Key Features: Scalable, secure, and highly available. Purpose: Provides a layer of security at the subnet level to control traffic entering or leaving the subnet. Scope: Operates at the subnet level. Statefulness: Stateless. Inbound and outbound rules are evaluated separately. Rules:Allows both "allow" and "deny" rules. Rules are evaluated in numerical order, starting from the lowest rule number. Default Behavior: Default NACL allows all inbound and outbound traffic. Custom NACL denies all inbound and outbound traffic by default. Application: Automatically applies to all resources in a subnet. Number of Rules: Supports up to 20 inbound and 20 outbound rules per NACL (can be increased). Content Delivery 1. Amazon CloudFront (CDN) - Definition: Content delivery network service for distributing content. - Use Case: Distribute content for high availability and scalability. - Key Features: Scalable, secure, and highly available. Management and Governance 1. Identity and Access Management (IAM) - Definition: Service for managing access and identity. - Use Case: Manage access and identity for security and compliance. - Key Features: Scalable, secure, and highly available. 2. Monitoring and Logging - AWS CloudTrail (API activity logging) - Definition: Service for logging API activity. - Use Case: Log API activity for security and compliance. - Key Features: Scalable, secure, and highly available. - Amazon CloudWatch (Monitoring and logs) - Definition: Service for monitoring and logging. - Use Case: Monitor and log applications and resources for performance and security. - Key Features: Scalable, secure, and highly available. - AWS Inspector (Vulnerability assessment) - Definition: Service for assessing vulnerabilities.  - Use Case: Assess vulnerabilities for security and compliance. - Key Features: Scalable, secure, and highly available. 3. Compliance and Security - AWS Artifact (Compliance reports) - Definition: Service for providing compliance reports. - Use Case: Provide compliance reports for security and compliance. - Key Features: Scalable, secure, and highly available. - AWS Shield (DDoS protection) - Definition: Service for protecting against DDoS attacks. - Use Case: Protect against DDoS attacks for security. - Key Features: Scalable, secure, and highly available. - Shared Responsibility Model - Definition: Model for shared responsibility between AWS and customers. - Use Case: Understand shared responsibility for security and compliance. - Key Features: Scalable, secure, and highly available. Application Development 1. Source Code and CI/CD - AWS CodeCommit (Version control) - Definition: Service for version control. - Use Case: Manage source code for version control. - Key Features: Scalable, secure, and highly available. - AWS CodeBuild - Definition: Service for building and testing code. - Use Case: Build and test code for continuous integration and delivery. - Key Features: Scalable, secure, and highly available. - AWS CodePipeline  - Definition: Service for automating deployment. - Use Case: Automate deployment for continuous integration and delivery. - Key Features: Scalable, secure, and highly available. 2. Application Design Principles - Decoupled architecture - Definition: Architecture that separates components for scalability and flexibility. - Use Case: Design applications for scalability and flexibility. - Key Features: Scalable, secure, and highly available. - Loose coupling - Definition: Design principle that separates components for scalability and flexibility. - Use Case: Design applications for scalability and flexibility. - Key Features: Scalable, secure, and highly available. - Right-sizing of resources - Definition: Principle of allocating resources based on demand. - Use Case: Allocate resources for cost optimization. - Key Features: Scalable, secure, and highly available. - Cost optimization strategies - Definition: Strategies for optimizing costs. - Use Case: Optimize costs for cost-effectiveness. - Key Features: Scalable, secure, and highly available. AWS Best Practices and Well-Architected Framework Operational Excellence - Definition: Principle of running and managing AWS resources efficiently. - Use Case: Implement operational excellence for efficient resource management. - Key Features: Scalable, secure, and highly available. Performance Efficiency - Definition: Principle of using AWS resources efficiently for performance. - Use Case: Implement performance efficiency for optimized resource utilization. - Key Features: Scalable, secure, and highly available. Fault Tolerance and High Availability - Definition: Principle of designing systems for fault tolerance and high availability. - Use Case: Implement fault tolerance and high availability for reliable systems. - Key Features: Scalable, secure, and highly available. Global Reach - Definition: Principle of designing systems for global reach and accessibility. - Use Case: Implement global reach for accessible systems. - Key Features: Scalable, secure, and highly available. Other Topics Cost Management - Reserved Instances - Definition: Pricing model for reserved instances. - Use Case: Use reserved instances for cost-effective resource management.  - Key Features: Scalable, secure, and highly available. - Spot Instances - Definition: Pricing model for spot instances. - Use Case: Use spot instances for cost-effective resource management. - Key Features: Scalable, secure, and highly available. - Elasticity and Horizontal Scaling - Definition: Principle of scaling resources for elasticity and horizontal scaling. - Use Case: Implement elasticity and horizontal scaling for scalable systems. - Key Features: Scalable, secure, and highly available. - Right-sizing resources to optimize costs - Definition: Principle of allocating resources based on demand for cost optimization. - Use Case: Right-size resources for cost-effective resource management. - Key Features: Scalable, secure, and highly available. - Services supporting compliance and security - Definition: Services that support compliance and security. - Use Case: Use services that support compliance and security for secure systems. - Key Features: Scalable, secure, and highly available. Key Learning Areas - Designing scalable and fault-tolerant architectures - Definition: Principle of designing systems for scalability and fault tolerance. - Use Case: Design systems for scalability and fault tolerance. - Key Features: Scalable, secure, and highly available. - Selecting appropriate AWS services for specific use cases - Definition: Principle of selecting AWS services based on use cases.  - Use Case: Select AWS services based on use cases. - Key Features: Scalable, secure, and highly available. - Understanding the AWS Shared Responsibility Model - Definition: Model for shared responsibility between AWS and customers. - Use Case: Understand shared responsibility for security and compliance. - Key Features: Scalable, secure, and highly available. - Managing resources cost-effectively with AWS pricing models and resource optimization - Definition: Principle of managing resources cost-effectively. - Use Case: Manage resources cost-effectively. - Key Features: Scalable, secure, and highly available. - Securing workloads with IAM and other security features - Definition: Principle of securing workloads with IAM and other security features. - Use Case: Secure workloads with IAM and other security features. - Key Features: Scalable, secure, and highly available.