End-to-end telemetry collection, tracing, logging, and insight generation on AKS.
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As Kubernetes adoption accelerates, engineers need streamlined, cost-effective tools for cluster observability. Until now, this often meant deploying and managing separate monitoring stacks. Azure Monitor's latest integration with Grafana changes this: cluster insights are now just a click away in the Azure portal.
Recently, we released the AKS-MCP server, which enables AKS customers to automate diagnostics, troubleshooting, and cluster management using natural language.
One of its key capabilities is real-time observability using inspektor_gadget_observability MCP tool, which leverages a technology called eBPF to help
customers quickly inspect and debug applications running in AKS clusters.
If you're reading this, you likely have heard the phrase "It's always DNS." This is a common joke amongst developers that the root of many issues is related to DNS.
In this blog we aim to empower you to identify the root cause of DNS issues and get back to green. You can also watch the video walkthrough from Microsoft Build Breakout Session #181 starting at the 5-minute mark.
At Azure Kubernetes Service (AKS), we deeply recognize how crucial observability is for running stable Kubernetes environments. Given our extensive reliance on Kubernetes internally, we're continually innovating to ensure you have robust, clear, and actionable insights into your cluster health and performance. Observability—the ability to monitor, understand, and manage your systems effectively—is a foundational pillar for AKS product vision to enable our users to achieve more.