Author: Nithin Mohan TK

At scale, telemetry volume overwhelms budgets. Sampling reduces data while preserving insights. Adaptive Sampling (Default) Automatically adjusts rate to stay within 5 items/second per server. Good for most cases. Fixed-Rate Sampling Tip: Exclude failures and slow requests from sampling to ensure you never miss issues.

CloudWatch Logs Insights uses a SQL-like query language. Here are my most-used patterns. Find Errors Latency Percentiles

Cosmos DB now supports multi-level partition keys. This solves the “hot partition” problem for multi-tenant applications. Data is now partitioned by Tenant → Year → Order. This distributes write load across many physical partitions while allowing efficient queries within a tenant.

Single Table Design (STD) is the most controversial and misunderstood DynamoDB pattern. The premise: store all entity types in one table, use generic partition and sort keys, and leverage Composite Primary Keys and GSIs for access patterns. When done correctly, STD eliminates N+1 queries, reduces costs, and simplifies IAM. When done incorrectly, it creates debugging […]

The Azure Functions Premium Plan (EP1, EP2, EP3) eliminates the pain points of the Consumption plan: cold starts, 10-minute timeouts, and limited VNET connectivity. However, Premium comes at a significant cost premium, and choosing incorrectly can result in either poor performance or wasted spend. This guide provides a data-driven approach to deciding when Premium makes […]

AWS S3 Object Lambda is one of the most innovative yet underutilized AWS services. It allows you to intercept S3 GET requests and transform data on-the-fly using a Lambda function—without storing multiple copies of the data. Use cases include PII redaction, image resizing, format conversion, decompression, and dynamic watermarking. This comprehensive guide covers architecture patterns, […]