description Log Analytics Overview
Log Analytics is a cloud-based service within Azure Monitor designed for centralized log management and analysis. It utilizes Kusto Query Language (KQL) to process data ingested from diverse sources including Azure services and on-premises systems. This tool enables enterprise users and DevOps teams to investigate issues, identify trends, and gain insights into application performance and system health.
help Log Analytics FAQ
What is Log Analytics used for inside Azure Monitor?
Log Analytics stores and queries telemetry in Azure Monitor workspaces, including logs from Azure resources, virtual machines, applications, and security tools. Engineers use it to investigate incidents, build dashboards, and power alerts.
What language do Log Analytics queries use?
Log Analytics uses Kusto Query Language, usually called KQL. A typical query might filter tables such as AzureActivity, AppRequests, or Heartbeat by time, resource, severity, or operation name.
How is Log Analytics different from Application Insights?
Application Insights focuses on application performance monitoring, such as requests, dependencies, exceptions, and traces. Log Analytics is the broader workspace and query layer where many Azure Monitor logs can be analyzed together.
Can Log Analytics monitor on-premises servers?
Yes, with the right Azure Monitor agent setup, Log Analytics can collect telemetry from on-premises Windows or Linux machines as well as Azure VMs. That makes it useful for hybrid estates where not every workload is fully inside Azure.
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