Modern Serverless ETL Architecture on AWS

Scalable Stream Processing from Multiple Sources

AWS Serverless ETL Workflow Diagram
The Architecture: Scalable Real-time Intelligence

A high-scale, serverless ETL system on AWS designed for real-time analytics across disparate business applications.

Multi-Source Ingestion

Captures data from heterogeneous sources like S3, MongoDB, and PostgreSQL ensuring no application data is left behind.

Error Handling

Utilizes SQS Dead-Letter Queues and SNS/CloudWatch alerts for automatic retries and data loss prevention.

Real-Time Streaming Backbone

Orchestrates and streams events into AWS MSK for parallel, high-throughput processing.

Serverless Processing (AWS Glue)

Powers multi-stage ETL pipelines for schema discovery and complex transformations without infrastructure overhead.

Three-Layer Medallion Storage

Implements a tiered Bronze/Silver/Gold storage architecture optimized in Parquet format via AWS Glue Catalog.

Advanced Analytics & Serving Ecosystem

Serves diverse business needs through AWS Athena, QuickSight, Snowflake, and MySQL integrations.

Security & Monitoring Watchtower

Proactively governed using CloudWatch, Trusted Advisor, CloudTrail, and GuardDuty.

Architectural Pattern: Layered Architecture (N-tier)

The system is built on a clean Layered Architecture (N-tier), ensuring separation of concerns:

  • Data Ingestion Layer: Captures streams and batch loads via AWS SQS and MSK.
  • Processing Layer: Serverless transformations managed by AWS Glue and Lambda.
  • Storage & Serving Layer: Medallion architecture (Bronze/Silver/Gold) queried via AWS Athena.
Functional Requirements
  • Data Ingestion: Capture streaming and batch data from S3, MongoDB, and PostgreSQL.
  • Data Transformation: Clean and structure data into Bronze, Silver, and Gold tiers.
  • Error Recovery: Automatically retry failed executions and route persistent errors to a DLQ.
  • Analytics Serving: Provide accessible data endpoints for ad-hoc querying and visualization.
Non-Functional Requirements
  • Performance: speed and responsiveness via AWS MSK high-throughput streaming and Parquet optimizations.
  • Security: protection against unauthorized access managed by AWS GuardDuty and CloudTrail.
  • Usability: ease of use via serverless operations requiring minimal infrastructure management.
  • Reliability: system stability and availability maintained by SQS automated retries and DLQs.
  • Scalability: ability to handle growth seamlessly using AWS Glue serverless compute.
  • Maintainability: ease of updates and fixes via unified AWS CloudWatch telemetry.
  • Portability: ability to run in different environments supported by modular data outputs to Snowflake/MySQL.

Building the Future of Data-Driven Decisions.

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