Use a query router for LLM analytics — Redshift (KPIs), OpenSearch (definition), Neptune (lineage), and Cache (repeats) — to improve accuracy, latency, and costs.
This article explains how to build a self-healing observability system with AWS Bedrock AgentCore using AI agents to analyze and remediate infrastructure issues.
MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.
The blog introduces you to the four pillars of observability, AWS and Azure cloud-native services, and ROI to help in architects and engineer's quest for system clarity.
Feature flags and safe rollouts with Azure App Configuration for large SPA teams, hands-on setup, core principles, TypeScript code for backend and frontend.
Build long-running workflows by separating orchestration from execution, persisting state, and using events or callbacks to pause and resume without holding compute.
How we built a self-healing infrastructure automation platform, enabling faster recovery, lower on-call load, and reliability that scales with the system.
Microservices solve scalability problems but introduce troubleshooting nightmares. Here is a practical architectural pattern to unify logs, metrics, and traces.