Achieve Complete Data Observability on AWS with TCS Approach to Observability Challenges

This article discusses how to achieve complete data observability on AWS using the TCS approach to address observability challenges. It outlines the dimensions of data observability (lineage, freshness, volume, distribution, and schema) and the challenges involved in maintaining observability in complex, dynamic data platforms.

Specifically, the article covers:

• Data observability dimensions and their importance
• Challenges in achieving data observability
• TCS approach combining white box and black box observability patterns
• Two reference architectures using AWS services:
  • One using AWS native services like CloudWatch, Lambda, S3, and QuickSight
  • Another using managed open source services like Prometheus, Grafana, OpenSearch
• Benefits of implementing the TCS approach like centralized monitoring, automated alerts, performance optimization
• Conclusion highlighting TCS expertise in data analytics and observability solutions