Azure Log Analytics Integration with Synapse
Configure diagnostic settings to export to Data Lake: Use serverless SQL to query exported logs: Complex log analysis: Process logs with Azure Functions:…
9 articles
Configure diagnostic settings to export to Data Lake: Use serverless SQL to query exported logs: Complex log analysis: Process logs with Azure Functions:…
Data Collection Rules provide the flexibility and control needed for modern monitoring architectures.
Dedicated clusters provide enterprise-grade security and scale for Azure Monitor Logs.
KQL functions in Azure Data Explorer are the reusability mechanism that prevents the same complex query logic from being copy-pasted across dashboards…
Cross-workspace queries in KQL let you write a single query that spans multiple Log Analytics workspaces—essential when your monitoring architecture splits…
Log Analytics workspace design is one of those infrastructure decisions that feels low-stakes until your bill arrives or you hit a query that crosses a…
KQL is the query language I've spent the most hours in this year that most developers have never heard of. If you use Log Analytics, Sentinel, Application…
Log Analytics is the database I've spent the most hours in this year that nobody calls a database. It's where every Azure diagnostic, AppInsights trace…
For log analytics at scale, ADX is hard to beat.