DEV Community

Jayaprasanna Roddam
Jayaprasanna Roddam

Posted on

AWS: Developer Associate

Chapter 1: Introduction to AWS and Developer Tools

  • Overview of AWS Cloud Computing
  • Introduction to AWS Global Infrastructure
  • Developer Tools in AWS
    • AWS SDKs
    • AWS CLI
    • AWS Elastic Beanstalk
  • AWS Free Tier and Billing Concepts

Chapter 2: AWS Identity and Access Management (IAM)

  • IAM Basics: Users, Groups, Roles, and Policies
  • IAM Roles for Services: Configuring IAM roles for EC2, Lambda, and ECS
  • Fine-Grained Permissions: Least-privilege access
  • Best Practices: Multi-Factor Authentication (MFA) and IAM Policy Simulator
  • Error Handling in IAM: Permission denied issues and logging security events

Chapter 3: AWS SDK and API Interactions

  • Setting Up AWS SDKs:
    • Go, Python (Boto3), Java, and Node.js
    • Configuring SDK credentials and environment variables
  • Basic API Interactions: S3, EC2, Lambda, DynamoDB
  • Asynchronous API Calls: Managing async calls and handling responses
  • Error Handling with SDK:
    • Understanding and handling common SDK errors
    • Structured error messages
  • Retries:
    • AWS SDK retry mechanisms
    • Custom retry logic and exponential backoff
  • Logging in AWS SDK:
    • Configuring logging for SDK calls
    • Log levels (debug, info, error)
    • Integrating with CloudWatch for centralized logging

Chapter 4: AWS Storage Services (S3, EBS, and Glacier)

  • Amazon S3:
    • Bucket creation, object storage, and versioning
    • Uploading and downloading objects using the SDK
    • Error handling for S3 API
    • Retries for network issues and S3 limits
    • Logging S3 requests and access patterns
  • Amazon EBS:
    • EBS volumes and EC2 integration
    • Creating snapshots and backups
    • Error handling with EBS
  • Amazon Glacier:
    • Archival and retrieval processes
    • Logging Glacier jobs and performance considerations

Chapter 5: Compute Services (EC2, Lambda, and ECS)

  • Amazon EC2:
    • Launching EC2 instances programmatically
    • Handling EC2 failures (capacity limits, instance startup issues)
    • Retries for instance creation and termination
    • SDK Logging for EC2 operations
  • AWS Lambda:
    • Creating and invoking Lambda functions using the SDK
    • Error handling: timeouts, memory limits, retries
    • Configuring and logging Lambda retries with Dead Letter Queues (DLQ)
  • Amazon ECS and Fargate:
    • Launching containers programmatically using SDK
    • Error handling for ECS tasks
    • SDK logging for container tasks

Chapter 6: Databases (RDS, DynamoDB, and Aurora)

  • Amazon RDS:
    • Programmatically creating, updating, and deleting RDS instances
    • Retries for RDS creation and backups
    • Handling common RDS errors (storage limits, connection failures)
    • Monitoring and logging RDS operations
  • Amazon DynamoDB:
    • Using the SDK to interact with DynamoDB: put, get, query
    • Error handling: throttling, limits, retries
    • Custom retry strategies for DynamoDB operations
    • Logging DynamoDB activities with CloudWatch
  • Amazon Aurora:
    • Programmatically managing Aurora clusters
    • Handling connection issues, failovers, and retries
    • Error handling for database access
    • Logging Aurora queries and performance

Chapter 7: Serverless Applications (Lambda, API Gateway, and Step Functions)

  • AWS Lambda:
    • Advanced Lambda features: triggers, concurrency, and scaling
    • Error handling with Lambda and retries for function failures
    • Lambda logging and CloudWatch integration
  • Amazon API Gateway:
    • Setting up REST APIs programmatically
    • Error handling in API Gateway (authorization failures, 5xx errors)
    • Retry strategies for API Gateway calls
    • Logging requests and responses in API Gateway
  • AWS Step Functions:
    • Managing workflows with Step Functions
    • Handling failures and retries for workflow states
    • Logging Step Functions’ executions

Chapter 8: CI/CD with AWS (CodePipeline, CodeBuild, and CodeDeploy)

  • AWS CodePipeline:
    • Automating application deployments
    • Error handling for pipeline stages
    • Retries for failed pipeline actions
    • Monitoring and logging pipeline executions
  • AWS CodeBuild:
    • Building code programmatically
    • Handling build failures and retries
    • Logging build processes in CloudWatch
  • AWS CodeDeploy:
    • Managing deployments to EC2 and Lambda
    • Error handling in CodeDeploy: rollback strategies
    • Logging deployment progress and failures

Chapter 9: Monitoring and Troubleshooting (CloudWatch and X-Ray)

  • Amazon CloudWatch:
    • Creating custom metrics and alarms
    • Logging SDK calls and API requests
    • Setting up CloudWatch Logs for Lambda, ECS, and API Gateway
    • Handling and analyzing CloudWatch metrics
  • AWS X-Ray:
    • Tracing API calls and analyzing performance bottlenecks
    • Logging error traces with X-Ray
    • Implementing X-Ray with AWS SDKs

Chapter 10: Messaging and Event-Driven Architectures (SQS, SNS, and EventBridge)

  • Amazon SQS:
    • Working with queues programmatically
    • Error handling and retries for SQS messages
    • Logging message processing and failures
  • Amazon SNS:
    • Creating and managing topics programmatically
    • Error handling for SNS failures
    • Logging SNS notifications
  • Amazon EventBridge:
    • Setting up rules and events programmatically
    • Error handling in EventBridge
    • Logging event delivery and failures

Chapter 11: Security and Encryption in AWS

  • IAM:
    • Managing programmatic access with the AWS SDK
    • Error handling for authentication and permission issues
    • Logging security-related events
  • AWS Key Management Service (KMS):
    • Programmatically encrypting and decrypting data
    • Error handling in KMS interactions
    • Logging cryptographic operations

Chapter 12: Cost Management and Optimization

  • AWS Cost Explorer:
    • Programmatically retrieving cost and usage reports
    • Error handling for Cost Explorer API
  • Billing and Budgets:
    • Setting up budgets programmatically
    • Logging billing alerts and budget performance

Sentry image

See why 4M developers consider Sentry, “not bad.”

Fixing code doesn’t have to be the worst part of your day. Learn how Sentry can help.

Learn more

Top comments (0)

A Workflow Copilot. Tailored to You.

Pieces.app image

Our desktop app, with its intelligent copilot, streamlines coding by generating snippets, extracting code from screenshots, and accelerating problem-solving.

Read the docs

👋 Kindness is contagious

Please leave a ❤️ or a friendly comment on this post if you found it helpful!

Okay