News
Your OTel Traces Are Lying to You Observability for the Reasoning Layer
1+ hour, 25+ min ago (22+ words) Three weeks ago someone on the AWS Builders Slack posted something that stopped me cold. Their. .. Tagged with ai, sre, devops, platformeng....
Building a Production-Grade Observability Platform for the Anvila API with LGTM, SLOs, DORA Metrics, and Game Day Testing
3+ hour, 40+ min ago (1474+ words) For the HNG Dev Ops Stage 6 task, our team built a production-grade observability and reliability platform for the Anvila API. The goal was not just to check whether a server was up or down. We needed to build a monitoring…...
How We Built Our Own Incident Management System
10+ hour, 38+ min ago (167+ words) A couple of years ago we built our own incident management system instead of buying one. I'd do it again. Here's why, and the pieces that mattered. We looked at Pager Duty, Incident. io, Fire Hydrant, and a couple of…...
Full-Stack Test Observability: Bridging Gaps In Testing
14+ hour, 48+ min ago (832+ words) Mudit Singh is the Co-Founder and Head of Growth at Test Mu AI, an AI-native unified enterprise test execution cloud platform. "We've perfected the art of testing in silos. But unfortunately, that approach doesn't work well. Front-end teams have sophisticated…...
Rethinking Kubernetes Ingress for AI Workloads
4+ day, 23+ hour ago (738+ words) AI workloads require modern Kubernetes ingress. Legacy tools can't handle dynamic scaling, API traffic, and real-time security at AI scale Kubernetes has become the foundation for this shift. As organizations modernize application delivery, ingress is moving to the forefront. Once…...
AIOps That Actually Helps: Start with Telemetry, Correlation, and Safe Automation
1+ day, 3+ hour ago (486+ words) A practical guide to AIOps built on telemetry, signal correlation, and safe automation instead of hype. Tagged with aiops, observability, sre, automation....
Observability primer
3+ week, 4+ day ago (816+ words) Observability lets you understand a system from the outside by letting you ask questions about that system without knowing its inner workings. Furthermore, it allows you to easily troubleshoot and handle novel problems, that is, "unknown unknowns. It also helps…...
Logs vs. Metrics: Which is More Effective for Troubleshooting?
1+ day, 7+ hour ago (624+ words) Both tools are indispensable for the "observability" of our systems. However, they serve different functions and shine in different scenarios. In this post, we will take a deep dive into what logs and metrics are, how they differ, their strengths…...
Distributed Tracing in Nest JS: End-to-End Request Visibility with Open Telemetry
1+ day, 6+ hour ago (734+ words) In a monolithic application, debugging a slow or failing request is straightforward, you have one codebase, one log stream, and one execution context to reason about. In a microservices architecture, a single user request can touch a dozen services, three…...
Real-Time Monitoring for AI Agents: Beyond Log Streaming
1+ day, 12+ hour ago (58+ words) Most agent monitoring is "log everything and grep later." That's not monitoring " that's archaeology. Every pipeline run generates a trace: When your agent pipeline runs 100+ times per day, "check the logs" doesn't scale. You need: We built Agent Forge because…...