Analytics & Reporting System MVP

A minimal viable reporting solution on AWS, focusing on the business application and data publishing, while deferring the full Analytics & Reporting system implementation.

Let me explain this minimal viable reporting approach:

  1. Business Application:

    A. Application Layer

    • API Gateway + Lambda for APIs

    • Serverless architecture for scalability

    • Event-driven design

    B. Data Storage

    • DynamoDB for transactional data

    • Use DynamoDB Streams for change capture

    • Enable point-in-time recovery

    C. Event Publishing

    • EventBridge for event routing

    • SNS for notifications

    • SQS for decoupling

  2. Data Capture Layer:

    A. Streaming Layer

    • Kinesis Data Streams for real-time data

    • Kinesis Firehose for S3 delivery

    • Configure retry policies

    B. Raw Storage

    • S3 buckets with lifecycle policies

    • Organize by date partitions

    • Enable versioning

    C. Basic Processing

    • AWS Glue for simple ETL

    • Lambda for light transformations

    • Maintain data formats

  3. Quick Reporting Solutions:

    A. Athena Queries

    • Direct SQL access to S3 data

    • Create views for common queries

    • Optimize for cost

    B. QuickSight

    • Basic dashboards

    • Scheduled reports

    • Share with stakeholders

    C. Basic APIs

    • Simple query endpoints

    • Data export APIs

    • Basic authentication

Implementation Steps:

  1. Initial Setup:

- Create S3 buckets
- Configure Kinesis
- Set up IAM roles
- Enable monitoring
  1. Data Flow:

- Configure DynamoDB streams
- Set up Kinesis Firehose delivery
- Create basic Glue jobs
- Enable Athena
  1. Basic Reports:

- Create Athena tables
- Build QuickSight dashboards
- Implement basic APIs
- Set up monitoring
  1. Security Controls:

- IAM policies
- Encryption at rest
- Encryption in transit
- Access logging

Key Benefits:

  1. Minimal initial investment

  2. Scalable architecture

  3. Pay-per-use pricing

  4. Easy to extend later

This approach allows you to:

  • Start capturing all necessary data

  • Provide basic reporting capabilities

  • Scale as needed

  • Migrate to full analytics later

Would you like me to elaborate on any specific component or provide more implementation details?

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