The diagram below shows an expanded version of the datasource types gathered by Azure Monitor.Ĭlick on the picture to see a larger version of the data sources diagram in context. Services that integrate with Azure Monitor and provide additional functionality are marked with an asterisk * in the diagram.Īzure Monitor can collect data from multiple sources, including from your application, operating systems, the services they rely on, and from the platform itself.The functions and components that consume data include analysis, visualizations, insights, and responses.Azure Monitor's data platform has stores for metrics, logs, traces, and changes. The data platform is made up of the data stores for collected data.The data is collected and routed to the data platform. The data sources are the types of data collected from each monitored resource.The diagram depicts the Azure Monitor system components: The following diagram gives a high-level view of Azure Monitor. Azure Monitor AIOps and machine learning capabilities let you detect, diagnose, predict, and respond to potential issues in your IT environment using advanced analytics. Azure Monitor provides a common set of tools to correlate and analyze the data from multiple Azure subscriptions and tenants, in addition to data hosted for other services.Īrtificial Intelligence for IT Operations (AIOps) improves service quality and reliability by using machine learning to process and automatically act on data you collect in Azure Monitor. When a system is observable, a user can identify the root cause of a performance problem by looking at the data it produces without additional testing or coding.Īzure Monitor achieves observability by correlating data from multiple pillars and aggregating data across the entire set of monitored resources. Azure Monitor adds “changes” to these pillars. Metrics, logs, and distributed traces are commonly referred to as the pillars of observability. The pillars of observability are the different kinds of data that a monitoring tool must collect and analyze to provide sufficient observability of a monitored system. Monitoring is the collection and analysis of data pulled from IT systems. Observability wouldn’t be possible without monitoring. An observability solution analyzes output data, provides an assessment of the system’s health, and offers actionable insights for addressing problems across your IT infrastructure. Observability is the ability to assess an internal system’s state based on the data it produces. Monitoring, observability, and artificial intelligence for IT operations Integrate with ticketing and other ITSM systems.Integrate with other third-party and open-source monitoring and visualization tools.You can also export monitoring data from Azure Monitor into other systems so you can: Custom sources that use the APIs to get data into Azure Monitor.Networking events and health in combination with Network Watcher.Security events in combination with Azure Sentinel.Containers including Prometheus metrics.Use Azure Monitor to monitor these types of resources in Azure, other clouds, or on-premises: The data can then be used for analysis and visualizations to help you understand how your applications are performing and respond automatically to system events.Īzure Monitor also includes Azure Monitor SCOM Managed Instance, which allows you to move your on-premises System Center Operation Manager (Operations Manager) installation to the cloud in Azure. Because this data is stored together, it can be correlated and analyzed using a common set of tools. It correlates data across multiple Azure subscriptions and tenants, in addition to hosting data for other services. You can use Azure Monitor to maximize the availability and performance of your applications and services.Īzure Monitor collects and aggregates the data from every layer and component of your system into a common data platform. Azure Monitor is a comprehensive monitoring solution for collecting, analyzing, and responding to telemetry from your cloud and on-premises environments.
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