Operations | Monitoring | ITSM | DevOps | Cloud

What Metrics to Monitor in Your Vibe Coded App

These days, using a tool such as Cursor, GitHub Copilot, Zed, or Claude makes it easier than ever to develop and deploy applications. You express your requirements, receive the completed project back as output, and there you have it! You now have an application that is in production and functioning. However, the surprise comes after the app has been deployed. When your app breaks or behaves abnormally, it may not be immediately obvious what is wrong or how to fix it.

AI Is an Amplifier, Not a Shortcut

There’s a version of the AI story that engineering leaders want to hear. It goes like this: adopt AI coding tools, watch output multiply, ship faster, do more with less. Clean. Simple. Boardroom-ready. The data tells a different story. Not a worse one. Just a more honest one. We recently analyzed 2,172 developer-weeks of real coding activity across teams using GitHub Copilot, Cursor, and Claude Code. The headline numbers are striking: power users show 4-14x higher activity than non-users.

Defeating Context Rot: Mastering the Flow of AI Sessions | Harness Blog

In Part 1, we argued that most dev teams start in the wrong place. They obsess over prompts, when the real problem is structural: agents are dropped into repositories that were never designed for them. The solution was to make the repository itself agent-native through a standardized instruction layer like AGENTS.md. But even after you fix the environment, something still breaks. The agent starts strong.

Secure and Compliant DevOps in an AI-Enabled World

Is Your DevOps Strategy Ready for the AI Era? AI is accelerating modern software delivery—but it’s also raising the stakes for security, compliance, and auditability. As AI-driven change increases, many organizations are discovering that incomplete DevOps practices are creating new risk. Based on insights from 800+ global IT professionals, the 2026 State of DevOps Report reveals why vendor‑backed, enterprise‑grade DevOps platforms are becoming critical for managing AI‑driven risk and meeting evolving regulatory demands.

Agno Monitoring & Observability with OpenTelemetry and SigNoz

Learn how to implement end-to-end monitoring and observability for Agno-based AI systems using OpenTelemetry and SigNoz. In this video, we walk through instrumenting your Agno workflows, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real-time visibility into performance, failures, and bottlenecks. You'll see how to move from basic logging to production-grade observability—so you can debug faster, optimize latency, and confidently run AI systems at scale.

#055 - From Enterprise Java to Kubernetes and AI-Driven Infrastructure with Dan Hicks (Boomi)

Dan breaks down the fundamental similarities and stark differences between application development and platform engineering. He shares the unexpected hurdles he faced during his transition, from complex networking and CoreDNS latency to the harsh realities exposed by chaos testing in cloud environments.

Introducing the StatusGator MCP Server

Your AI agents can now monitor, triage, and respond to cloud outages autonomously. The way enterprises manage cloud infrastructure incidents is changing. AI agents are no longer just chatbots answering questions — they’re becoming first responders in your incident management pipeline. Today, we’re launching the StatusGator MCP Server, giving AI agents direct, structured access to the full power of StatusGator’s cloud status monitoring platform.

Mastering AI Prompts: How to Get the Best Out of SQL Prompt AI | The Tony and Tonie show Ep41

How to get the most value from SQL Prompt AI in day-to-day work, whether you're writing new queries or improving existing code. A little prompt-writing knowledge goes a long way with SQL Prompt AI. Tony and Tonie discuss how to build reusable prompts that give the tool the context it needs to return useful results first time.