TL;DR: Bare regex matchers like pod=~"foo" will soon return only exact matches, not substring matches. If you rely on =~ for "starts with" or "contains" semantics, update your queries to add .* befor...

Cloud environments can generate large volumes of application, infrastructure, audit, and platform logs. Moving eligible tables to the Basic or Auxiliary table plan can help control costs while keepin...

When the Azure Copilot Observability Agent detects a problem, correlates related alerts, investigates and creates an Azure Monitor issue, it does more than identify what happened. It creates a durabl...

Operational problems rarely stay within one monitoring tool. Azure Monitor may detect and investigate a service degradation, while operations teams manage ownership, escalation, and resolution in an ...

Three long-standing customer requests for the Auxiliary table plan in Log Analytics are now generally available: Azure table support. Auxiliary now covers a subset of standard Azure tables, selec...

TL;DR This walkthrough uses a small e-commerce demo app to show how Azure Monitor can measure a user journey with service level indicators (SLIs) and service level objectives (SLOs), roll those resul...

A Log Analytics workspace stores its data in tables, and data retention can be configured at two levels: Workspace level: a default interactive (Analytics) retention that applies to the whole wor...

Azure Monitor Logs sharing to Microsoft Fabric is now in public preview. In just a few steps, you can share the logs you already send to a Log Analytics workspace with OneLake in Delta Parquet—the op...

Generative AI (GenAI) agents are moving from prototypes to production, running as part of real distributed applications. When a Microsoft Foundry agent slows down, returns errors, or spikes in token ...

The Azure Copilot Observability Agent brings an agentic investigation experience directly into Azure Monitor. Teams can chat with their observability data, run deep investigations across application ...