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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Kubernetes AI SRE Agent Finds a Crash Loop Nobody Asked About: AURA

You ask for a routine health check and expect a clean baseline. What came back was a pod that had restarted 788 times, unrelated to the question. AURA is connected to a Kubernetes cluster and to Prometheus through read-only MCP servers, running as one coordinator with two specialized workers. The prompt is one sentence: check the health of the cluster, and confirm whether all the pods are running. What comes back is not a baseline. AURA names the state as CrashLoopBackOff and attaches the restart count to it.

No Custom Adapter: AI SRE Agent AURA Debugs Product Catalog in Dash0

The platform shows you which service is failing and which paths it touches, and stops there. Point AURA at the same telemetry and the cause comes back too. Dash0 shows the product catalog service in a failed state across the selected window, with errors on the path from the frontend service.

Data Center: More or Less | SolarWinds TechPod

In this episode, Sean and Crystal explore the complex and rapidly evolving landscape of AI, data center impacts, regulation challenges, and societal implications. They discuss the urgency of establishing standards and the lessons from historical industrial revolutions to navigate AI's future responsibly.

Better context, smarter testing: How to give your AI coding agent direct access to k6 docs

As testing workflows become more AI-assisted, fast access to accurate documentation matters more than ever. Whether you're writing a new load test, troubleshooting an issue, or having an AI agent generate a script for you, you need reliable guidance that keeps pace with the way you work. But most documentation still lives in a browser. Every time you or your agent needs to verify an API or look up a best practice, you're forced to leave your terminal or editor and interrupt your workflow.

What an AI SRE agent actually finds when you point it at a broken Kubernetes cluster

‍ Most of the AI features that shipped into observability tools this year summarize alerts. You get a paragraph that restates the dashboard you were already looking at, and the agent never reads the cluster itself, because giving it cluster access is a security conversation nobody wanted to start. This walkthrough starts it.

Builder in the loop: what production agents were missing before AURA

Builder in the loop is a Mezmo interview series with the engineers, product leaders, and operators shaping AURA. Each installment looks past the product layer to explore the decisions, tradeoffs, and lessons involved in building agents for real production work. This installment features Mike Shearer, the engineer who built AURA and, until recently, its only developer. AI agents are easy to believe in when the task is small.

What is going wrong with AI coding? Live Laugh Logs ep. 4

Welcome to Episode 4 of Live Laugh Logs, the podcast from the Coralogix Developer Relations team. This week, Chris Cooney joins Annie to share five key DevOps skills that have become even more important in the age of agentic code development, and gives you five key actions you can do today to start levelling up these skills. Subscribe to our channel for more insights into observability and AI.

Top 10 Digital Experience Monitoring Tools in 2026

Server dashboards can look healthy while users wait. Only 51% of the 1,000 most popular mobile sites pass Core Web Vitals, according to the HTTP Archive's 2025 Web Almanac. Closing that gap is the job of digital experience monitoring tools. Some watch customers on your website and mobile apps, others watch staff on laptops and virtual desktops, and a third watches the network in between. Pick the wrong type and you lose a review cycle.

10 Best Real User Monitoring Tools Compared for 2026

Most IT teams learn their application feels slow when a customer complains. Server metrics never measure what a person on a phone waits for. The best real user monitoring tools close that gap by collecting timings from your users' browsers. Choosing one got harder this year, because the measurement standard moved. In this blog, we compare the best tools for real user monitoring, including their pros, cons, and key features. By the end you will know which one fits your stack.

Data pipeline monitoring 101: Tracking health and performance across the data stack

Data pipelines are systems for moving and processing data. They are made up of concatenated services and data stores that programmatically ingest data from upstream sources; filter, transform, enrich, and route that data; and deliver it to downstream consumers.