Azure Monitor
Azure Monitor is a comprehensive monitoring solution for applications, infrastructure, and networks in Azure and on-premises. It collects, analyzes, and acts on telemetry from your cloud and on-premises environments, providing full observability across your applications and infrastructure. Key capabilities include collecting metrics and logs, visualizing data with dashboards, analyzing with Log Analytics, and responding to issues with alerts and autoscale.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
Azure Monitor is a comprehensive monitoring solution for applications, infrastructure, and networks in Azure and on-premises. It collects, analyzes, and acts on telemetry from your cloud and on-premises environments, providing full observability across your applications and infrastructure. Key capabilities include collecting metrics and logs, visualizing data with dashboards, analyzing with Log Analytics, and responding to issues with alerts and autoscale.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Varies significantly based on query complexity and data volume, but can handle millions of events per second ingestion. Query throughput can range from hundreds to thousands of queries per second for simple queries.
Payload Size: Query results can range from a few KB to several GB depending on the query and time range.
Processing Latency: Typically 100 ms to several seconds for complex queries over large datasets. Simple queries on recent data can be sub-second.
Write Performance Profile
Throughput: Ingestion can handle millions of events per second (e.g., 100,000 to 1,000,000 events/sec per workspace, with higher limits for dedicated clusters).
Payload Size: Individual log entries typically range from a few bytes to several KB. Metrics are usually smaller.
Processing Latency: Near real-time, typically 30 seconds to 2 minutes for data to become queryable after ingestion. For critical alerts, latency can be lower (e.g., 10-30 seconds).
Architecture Diagram
#architecture_diagramReference diagram of the technology's internal architecture.
Features
#featuresCatalogued product capabilities and what each one does.
Empirical data for features is currently being compiled in the global catalog.
Typical Use Cases
#typical_use_casesScenarios the technology is commonly chosen for.
Empirical data for typical use cases is currently being compiled in the global catalog.
Known Customers
#known_customersPublicly referenced organisations using the technology.
Empirical data for known customers is currently being compiled in the global catalog.
Known Integrations
#known_integrationsOther products and services it is documented to work with.
Empirical data for known integrations is currently being compiled in the global catalog.
Connectors
#connectorsDirectional data connections to other technologies, with direction and maturity.
Empirical data for connectors is currently being compiled in the global catalog.
Reference Architectures
#reference_architecturesPublished architectures where the technology is used or mentioned.
No published reference architecture blueprints currently link to Azure Monitor.
Security Features
#security_featuresBuilt-in security and access-control capabilities.
Empirical data for security features is currently being compiled in the global catalog.
Known Issues
#known_issuesDocumented limitations, defects and operational pitfalls.
Empirical data for known issues is currently being compiled in the global catalog.
Guidelines
#guidelinesRecommended practices for adopting and operating the technology.
Empirical data for guidelines is currently being compiled in the global catalog.
Standards & Compliance
#standards_and_complianceStandards, certifications and control requirements it maps to.
Empirical data for standards & compliance is currently being compiled in the global catalog.
Sources
#sourcesDocumentation and research references behind the recorded information.
Empirical data for sources is currently being compiled in the global catalog.
Expert Validation
#expert_validationWhether domain experts reviewed and confirmed the content.
Empirical data for expert validation is currently being compiled in the global catalog.