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AI Agent Orchestration in IT Operations: The Complete Developer's Guide

If you've spent any time in IT operations, you know the drill - alerts firing at 2 a.m., cascading failures, runbooks nobody follows correctly, and a team stretched too thin. That's the environment where AI agent development starts making real sense. Not as a buzzword, but as an actual engineering answer to an operational problem that's been compounding for years. From our team's point of view, orchestrating multiple AI agents in IT isn't just automation. It's about building systems that coordinate and act the way a competent ops team would - minus the fatigue.

How a PSA Ticketing System Works (and How to Run One That Scales)

The ticket queue is where a managed service provider's profit either leaks or holds. Every minute a tech spends hunting for context, re-keying time, or chasing a status update is margin you don't get back. The PSA ticketing system is the tool your team touches more than any other, so it's worth understanding how it works before you blame the team for a slow queue.

Your Company Has 10x More Developers Than You Think

The low-code promise failed for 15 years. AI builders delivered in 15 months. Here's what actually changed, why the engineer in me resisted it, and what it means for every CTO. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Don't Ban the Builders - Govern Them

AI tools turned everyone into a builder. Your sales team, your finance team, your CEO - they're all shipping apps now. The answer isn't to ban them. It's to give them a governed platform they actually want to use. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

WireMock alternatives: pick the one that fits your problem

Picture this. You’re standing up a new service. Cursor or Claude Code wrote most of the controller, and it calls a payment API your team doesn’t own. Now you need tests. The agent is gamely inventing the response shape from whatever OpenAPI doc you fed it (which is a year stale), and the WireMock stubs it just generated are guesses dressed up as JSON. Three weeks later production breaks, the test suite was green the whole time, and nobody knows where to start looking.

How to Set Up an API Server

NinjaOne Field CTO Jeff Hunter shows how to set up an API server. An API server is a framework for securely integrating data from other services into NinjaOne. One example (and next week's video) would be retrieving current CVE data from a third-party vulnerability scanner and regularly importing that CVE data into NinjaOne for visibility and remediation. Chapter Markers.

How to measure developer experience (DevEx) in the AI era

As AI coding assistants dramatically inflate PR counts, commit frequency, and lines of code, the limitations of individual output metrics have never been more apparent. A developer can now produce significantly more lines per session, but higher volume doesn’t guarantee that the code is stable, maintainable, or successfully running in production. GitClear analyzed over 200 million lines of code and found that code churn nearly doubled following widespread AI adoption.

The Checkly Playwright Reporter: Live Demo, Rocky AI RCA & Production Monitoring

Your Playwright tests catch bugs. The hard part is figuring out what actually broke — and sharing that context with your team. This session shows exactly how the Checkly Playwright Reporter solves that: one shared home for all your test runs, AI-powered root cause analysis, and a direct path from failing test to production monitor. María de Antón, PM for Playwright features at Checkly, runs a live demo on a real app with real failures.

Zero to Dashboard with Grafana Assistant and the Infinity datasource plugin

Senior Developer Advocate Nicole van der Hoeven demonstrates how to go from zero to dashboard in a few minutes without using any queries, with the help of Grafana Assistant and the infinity datasource plugin for Grafana. Nicole is using the rawg.io video game database API to visualize games and get recommendations for what to play next!

Episode 11 - Human Choices in an AI Future (Part 1)

What if the biggest risk in the AI era isn't the technology, but waiting for someone else to tell you what to do with it? In this episode of The Intelligent Enterprise, host Tom Stoneman sits down with Karthik Ravindran, General Manager of Enterprise Data and AI at Microsoft, to unpack what it really takes to thrive alongside AI, not in spite of it.