Week 8 Worklog

Week 8 Objectives:

  • Master AWS Chatbot for Notifications:

    • Understand AWS Chatbot concepts and integrations
    • Configure Slack and Microsoft Teams channels
    • Set up CloudWatch alarms and notifications
    • Implement event routing and filtering
    • Monitor chat operations and usage

  • Learn AWS AppConfig for Configuration Management:

    • Understand AppConfig concepts and deployment
    • Configure applications and environments
    • Implement feature flags and configuration profiles
    • Set up deployment strategies and validators
    • Monitor configuration deployments

  • Master AWS Systems Manager Session Manager:

    • Understand Session Manager concepts and security
    • Configure secure instance access
    • Implement session logging and auditing
    • Set up session preferences and settings
    • Monitor session activities

  • Learn Amazon Athena for Serverless SQL Queries:

    • Understand Athena concepts and serverless architecture
    • Configure Athena workgroups and query settings
    • Create databases and tables from S3 data
    • Write and optimize SQL queries for S3 data
    • Implement partitioning for query performance
    • Set up data catalogs with AWS Glue
    • Configure query result locations and encryption
    • Use prepared statements for parameterized queries
    • Monitor query execution and costs

  • Master AWS Data Pipeline for Data Workflow Orchestration:

    • Understand Data Pipeline concepts and components
    • Design and create data pipeline definitions
    • Configure pipeline activities and schedules
    • Set up data nodes for sources and destinations
    • Implement preconditions and dependencies
    • Configure pipeline resources and compute
    • Set up error handling and retries
    • Monitor pipeline execution and logs
    • Implement data transformation workflows

  • Understand AWS Batch for Batch Computing Workloads:

    • Learn AWS Batch concepts and architecture
    • Create batch compute environments
    • Configure job queues and priorities
    • Define job definitions with container images
    • Submit and manage batch jobs
    • Set up job dependencies and scheduling
    • Configure resource requirements and constraints
    • Implement job monitoring and logging
    • Optimize batch processing costs

  • Master AWS Step Functions for Workflow Orchestration:

    • Understand Step Functions concepts and state machines
    • Configure task states and integrations
    • Implement parallel and choice states
    • Set up error handling and retry logic
    • Configure wait states and timeouts
    • Implement callback patterns
    • Monitor executions and state transitions
    • Use Express and Standard workflows

  • Learn Amazon Rekognition for Image and Video Analysis:

    • Understand Rekognition concepts and features
    • Detect labels and objects in images
    • Perform facial analysis and recognition
    • Detect text in images (OCR)
    • Analyze video content and activities
    • Create face collections and search
    • Detect unsafe content moderation
    • Implement celebrity recognition
    • Monitor API usage and costs

  • Understand Amazon Transcribe for Speech-to-Text Conversion:

    • Learn Transcribe concepts and capabilities
    • Transcribe audio files to text
    • Configure real-time streaming transcription
    • Implement custom vocabularies
    • Set up speaker identification
    • Configure language identification
    • Implement redaction for sensitive data
    • Use custom language models
    • Monitor transcription jobs

Tasks to be carried out this week:

Day Task Start Date Completion Date References
2 - Learn AWS Chatbot for DevOps notifications
- Master AWS AppConfig for configuration management
- Understand AWS Systems Manager Session Manager
- Practice:
  + AWS Chatbot:
   - Configure Slack workspace integration
   - Set up Microsoft Teams channel integration
   - Configure CloudWatch alarm notifications
   - Implement SNS topic subscriptions
   - Set up Security Hub findings notifications
   - Configure GuardDuty alert routing
   - Implement notification filtering and customization
   - Monitor chatbot delivery metrics
  + AWS AppConfig:
   - Create AppConfig application and environments
   - Configure configuration profiles and versions
   - Implement feature flags for gradual rollouts
   - Set up deployment strategies (linear, exponential)
   - Configure validators for configuration validation
   - Implement rollback mechanisms
   - Monitor deployment progress and health
  + Systems Manager Session Manager:
   - Configure Session Manager prerequisites
   - Set up secure instance access without SSH keys
   - Implement session logging to S3 and CloudWatch
   - Configure session preferences and timeout settings
   - Set up port forwarding for applications
   - Implement session document customization
   - Monitor and audit session activities		 10/27/2025 10/27/2025 AWS Chatbot DevOps Notifications
Configure Slack and Teams integration

AWS AppConfig Configuration Management
Create applications and environments

Systems Manager Session Manager Secure Access
Configure secure instance access without SSH keys
3 - Learn Amazon Athena for serverless SQL queries
- Master AWS Data Pipeline for data workflow orchestration
- Understand AWS Batch for batch computing workloads
- Practice:
  + Amazon Athena:
   - Configure Athena workgroups and query settings
   - Create databases and tables from S3 data
   - Write and optimize SQL queries for S3 data
   - Implement partitioning for query performance
   - Set up data catalogs with AWS Glue
   - Configure query result locations and encryption
   - Use prepared statements for parameterized queries
   - Monitor query execution and costs
  + AWS Data Pipeline:
   - Design and create data pipeline definitions
   - Configure pipeline activities and schedules
   - Set up data nodes for sources and destinations
   - Implement preconditions and dependencies
   - Configure pipeline resources and compute
   - Set up error handling and retries
   - Monitor pipeline execution and logs
   - Implement data transformation workflows
  + AWS Batch:
   - Create batch compute environments
   - Configure job queues and priorities
   - Define job definitions with container images
   - Submit and manage batch jobs
   - Set up job dependencies and scheduling
   - Configure resource requirements and constraints
   - Implement job monitoring and logging
   - Optimize batch processing costs		 10/28/2025 10/28/2025 Amazon Athena Serverless SQL Queries
Configure workgroups

AWS Data Pipeline Workflow Orchestration
Design pipeline definitions

AWS Batch Computing Workloads
Create compute environments
4 - Learn AWS Step Functions for workflow orchestration
- Master Amazon Rekognition for image and video analysis
- Understand Amazon Transcribe for speech-to-text conversion
- Practice:
  + AWS Step Functions:
   - Create state machines with JSON definitions
   - Configure task states and Lambda integrations
   - Implement parallel and choice states
   - Set up error handling and retry logic
   - Configure wait states and timeouts
   - Implement callback patterns
   - Monitor executions and state transitions
   - Use Express and Standard workflows
  + Amazon Rekognition:
   - Detect labels and objects in images
   - Perform facial analysis and recognition
   - Detect text in images (OCR)
   - Analyze video content and activities
   - Create face collections and search
   - Detect unsafe content moderation
   - Implement celebrity recognition
   - Monitor API usage and costs
  + Amazon Transcribe:
   - Transcribe audio files to text
   - Configure real-time streaming transcription
   - Implement custom vocabularies
   - Set up speaker identification
   - Configure language identification
   - Implement redaction for sensitive data
   - Use custom language models
   - Monitor transcription jobs		 10/29/2025 10/29/2025 AWS Step Functions Workflow Orchestration
Create state machines

Amazon Rekognition Image and Video Analysis
Detect labels and objects

Amazon Transcribe Speech-to-Text Conversion
Transcribe audio
5 - Learn Amazon Lightsail Containers for simplified container deployment
- Master Docker containerization fundamentals
- Understand monolithic to microservices architecture with ECS and AWS Fargate
- Practice:
  + Amazon Lightsail Containers:
   - Understand Lightsail Containers concepts and benefits
   - Create Lightsail container services
   - Deploy public Docker images from DockerHub
   - Build and deploy custom Docker images
   - Configure container service capacity and scaling
   - Set up custom domains and HTTPS
   - Monitor container deployments and logs
   - Manage container versions and rollbacks
  + Monolithic to Microservices with Docker and ECS:
   - Understand Docker containers and containerization
   - Learn ECS (Elastic Container Service) architecture
   - Master AWS Fargate for serverless containers
   - Convert monolithic applications to microservices
   - Create ECS clusters and task definitions
   - Deploy containerized applications on Fargate
   - Configure service discovery and load balancing
   - Implement CI/CD pipelines for containers
   - Monitor containerized applications with CloudWatch
   - Apply best practices for microservices architecture		 10/30/2025 10/30/2025 Amazon Lightsail Container
Run apps on Lightsail

Monolithic to Microservices
Docker, ECS and Fargate
6 - Learn AWS CDK (Cloud Development Kit) for infrastructure as code
- Master deploying Spring Boot applications on ECS Fargate
- Understand AWS CDK TypeScript for infrastructure provisioning
- Practice:
  + AWS CDK Infrastructure Setup:
   - Understand AWS CDK concepts and benefits
   - Install and configure AWS CDK CLI
   - Initialize CDK application with TypeScript
   - Define CDK stacks and constructs
   - Configure VPC and networking with CDK
   - Set up security groups and IAM roles
   - Deploy infrastructure using CDK deploy
   - Manage CDK application lifecycle
  + Spring Boot on ECS Fargate with CDK:
   - Build Spring Boot application Docker images
   - Push images to Amazon ECR (Elastic Container Registry)
   - Create ECS Fargate cluster with CDK
   - Define ECS task definitions and services
   - Configure Application Load Balancer
   - Set up auto-scaling policies
   - Implement health checks and monitoring
   - Configure CloudWatch logs for containers
   - Deploy and test Spring Boot services
   - Apply best practices for production deployments		 10/31/2025 10/31/2025 Spring Boot on ECS Fargate
Deploy using AWS CDK

Week 8 Achievements:

  • AWS Chatbot DevOps Notifications Mastery:

    • Mastered AWS Chatbot concepts and channel integrations
    • Successfully configured Slack workspace and channels
    • Integrated Microsoft Teams for DevOps notifications
    • Set up CloudWatch alarm routing to chat channels
    • Configured SNS topic subscriptions for event notifications
    • Implemented Security Hub findings delivery to teams
    • Routed GuardDuty security alerts to chat channels
    • Applied notification filtering for relevant alerts
    • Monitored chatbot delivery and engagement metrics
    • Applied best practices for DevOps collaboration

  • AWS AppConfig Configuration Management Expertise:

    • Mastered AppConfig concepts for dynamic configuration
    • Successfully created applications and environments
    • Configured configuration profiles with versioning
    • Implemented feature flags for controlled rollouts
    • Set up deployment strategies (linear, canary, exponential)
    • Configured validators for configuration validation
    • Implemented automatic rollback on deployment failures
    • Monitored deployment health and progress
    • Applied best practices for safe configuration changes

  • Systems Manager Session Manager Security Proficiency:

    • Mastered Session Manager concepts for secure access
    • Successfully configured bastion-less instance access
    • Eliminated need for SSH keys and open inbound ports
    • Implemented session logging to S3 and CloudWatch Logs
    • Configured session preferences and timeout policies
    • Set up port forwarding for secure application access
    • Created custom session documents for operations
    • Monitored and audited all session activities
    • Applied best practices for secure operational access

  • Amazon Athena Serverless Query Mastery:

    • Mastered Athena concepts for serverless SQL analytics
    • Successfully configured Athena workgroups and query settings
    • Created databases and tables from S3 data sources
    • Wrote and optimized SQL queries for large datasets
    • Implemented partitioning strategies for query performance
    • Integrated Athena with AWS Glue Data Catalog
    • Configured query result locations with encryption
    • Used prepared statements for secure parameterized queries
    • Monitored query execution times and data scanned
    • Applied best practices for cost optimization

  • AWS Data Pipeline Orchestration Expertise:

    • Mastered Data Pipeline concepts for workflow automation
    • Successfully designed and created pipeline definitions
    • Configured pipeline activities and execution schedules
    • Set up data nodes for multiple sources and destinations
    • Implemented preconditions and activity dependencies
    • Configured pipeline resources and compute environments
    • Set up comprehensive error handling and retry logic
    • Monitored pipeline execution status and logs
    • Implemented complex data transformation workflows
    • Applied best practices for reliable data pipelines

  • AWS Batch Computing Proficiency:

    • Mastered AWS Batch concepts for batch workloads
    • Successfully created managed and unmanaged compute environments
    • Configured job queues with proper priorities
    • Defined job definitions with Docker container images
    • Submitted and managed batch jobs programmatically
    • Set up job dependencies and array jobs
    • Configured resource requirements (vCPU, memory, GPU)
    • Implemented comprehensive job monitoring and logging
    • Optimized batch processing costs with Spot instances
    • Applied best practices for scalable batch computing

  • AWS Step Functions Workflow Orchestration Mastery:

    • Mastered Step Functions concepts for serverless workflows
    • Successfully created state machines with JSON definitions
    • Configured task states with Lambda and AWS service integrations
    • Implemented parallel states for concurrent execution
    • Set up choice states for conditional branching
    • Configured error handling with Catch and Retry
    • Implemented wait states and timeouts for delays
    • Used callback patterns for external processes
    • Monitored workflow executions and state transitions
    • Applied best practices for workflow design

  • Amazon Rekognition Computer Vision Expertise:

    • Mastered Rekognition concepts for image and video analysis
    • Successfully detected labels and objects in images
    • Performed facial analysis including age and emotion detection
    • Implemented facial recognition with face collections
    • Detected and extracted text from images (OCR)
    • Analyzed video content for activities and objects
    • Configured content moderation for unsafe content
    • Implemented celebrity recognition features
    • Monitored API usage and optimization strategies
    • Applied best practices for ML-powered vision

  • Amazon Transcribe Speech-to-Text Proficiency:

    • Mastered Transcribe concepts for audio transcription
    • Successfully transcribed audio files to text
    • Configured real-time streaming transcription
    • Implemented custom vocabularies for accuracy
    • Set up speaker identification (diarization)
    • Configured automatic language identification
    • Implemented content redaction for PII
    • Used custom language models for domain-specific terms
    • Monitored transcription job performance
    • Applied best practices for speech recognition

  • Amazon Lightsail Containers Deployment Mastery:

    • Mastered Lightsail Containers concepts for simplified deployment
    • Successfully created Lightsail container services
    • Deployed public Docker images from DockerHub registry
    • Built and deployed custom containerized applications
    • Configured container capacity and horizontal scaling
    • Set up custom domain names with HTTPS certificates
    • Monitored container health and application logs
    • Managed deployment versions and rollback strategies
    • Applied best practices for simple container workloads

  • Docker and ECS Microservices Architecture Expertise:

    • Mastered Docker containerization fundamentals
    • Successfully converted monolithic apps to microservices
    • Configured Amazon ECS clusters and services
    • Deployed containerized applications on AWS Fargate
    • Implemented service discovery with AWS Cloud Map
    • Set up Application Load Balancer for microservices
    • Configured CI/CD pipelines for automated deployments
    • Monitored container metrics with CloudWatch
    • Applied best practices for cloud-native architecture

  • AWS CDK Infrastructure as Code Mastery:

    • Mastered AWS CDK concepts and TypeScript development
    • Successfully installed and configured AWS CDK CLI
    • Initialized and structured CDK applications
    • Defined reusable CDK stacks and constructs
    • Configured VPC, networking, and security with CDK
    • Set up IAM roles and security groups programmatically
    • Deployed infrastructure using CDK deploy and diff
    • Managed CDK application lifecycle and updates
    • Applied best practices for infrastructure as code

  • Spring Boot on ECS Fargate Deployment Expertise:

    • Mastered building Spring Boot Docker images
    • Successfully pushed images to Amazon ECR
    • Created ECS Fargate clusters with AWS CDK
    • Defined ECS task definitions and service configurations
    • Configured Application Load Balancer for services
    • Implemented auto-scaling policies for containers
    • Set up health checks and CloudWatch monitoring
    • Configured structured logging for containerized apps
    • Deployed and tested production-grade Spring Boot services
    • Applied best practices for Java microservices on AWS