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5.1. Azure Monitor.md

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Azure Monitor

  • Allows continuous monitoring.
  • Collect & analyze & act on telemetry data from cloud & on-prem environment
  • It collects Metrics (e.g. CPU usage) and Logs
  • Tools:
    • Insights
      • Application Insights
      • Containers
      • Virtual Machines
        • Diagnostics (Microsoft docs)
          • You can use the Diagnostics extension of the virtual machine to collect data.
          • E.g. Performance counters, Windows Events logs in Table Storage, or IIS logs in Blob storage
          • Azure VM Diagnostics
        • Service Map
          • Graphical representation of a service, its dependencies and its settings
          • Automatically discovers application components on Windows and Linux systems and maps the communication between services
          • Azure VM Service Map
      • Monitoring Solutions (easy to go monitoring setups)
    • Visualizations
      • Dashboards
      • Views (from log queries)
      • Power BI
      • Workbooks (interactive reports, dashboards on steroids)
    • Optimizations
      • Analyze
        • Metric Analytics to query metrics
        • Log Analytics to query logs
          • Uses ad-hoc query language Kusto
      • Respond
        • Alerts
          • The IT Service Management Connector (ITSMC)
            • Provides a bi-directional connection between Azure and ITSM tools to help you resolve issues faster.
            • E.g. ServiceNow, System Center Service Manager, Provance, Cherwell
            • Allows you to
              • Create work items in ITSM tool, based on your Azure alerts
                • metric alerts, Activity Log alerts and Log Analytics alert).
              • Sync your incident and change request data from your ITSM tool to an Azure Log Analytics workspace.
        • Autoscale
      • Integrate
        • Logic Apps
        • Export APIs

Application Insights

  • Monitor and diagnose availability, usage & performance of web apps
  • Availability tests: Alerts if your application isn't responding, or if it responds too slowly.
    • URL tests test URL for status code or ping.
    • Multi-step tests: Test recorded sequence of URLs and interactions
    • Performance tests: Set user load & duration
    • or can run custom Azure Functions
    • Azure Aplication Insights Availability Tests
  • Profiler captures data & provides performance traces.
    • Azure Aplication Insights Profiler
  • Application Map
    • Helps you spot performance bottlenecks or failure hotspots
    • KPIs such as load, performance and failures, availability test failures
    • Azure Aplication Insights Application Map
  • Smart Detection
    • Failure Anomalies: ML based
    • Performance Anomalies
    • General degradations and issues, like Trace degradation, Memory leak, Abnormal rise in Exception volume and Security anti-patterns.
  • Usage Analysis
    • Track users & user behavior.
    • what pages they're most interested in, where your users are located, what browsers and operating systems they use.
    • Users: numbers of unique users that access your pages within your chosen time periods
    • Sessions: the number of user sessions that access your site
    • Retention
      • how many users come back & how often they perform particular tasks or achieve goals
      • show user who used any event or page view and returned to use any event or page view over x period.
    • Events
      • Send custom business events & track feature usages
    • Allows you to do A | B Testing & measure the success of each, and then move to a unified version.
    • Funnels
      • The progression through a series of steps in a web application is known as a funnel
      • E.g. how many users are viewing the home page, viewing a customer profile, and creating a ticket
    • Cohorts
      • A cohort is a set of users, sessions, events, or operations that have something in common
      • Defined by an analytics query
      • Difference from filters: more adaptable, complex, other team members in your team can reuse them.
      • You can use template gallery e.g.:
      • Engaged Users -- by Days Used
    • User flow
      • Visualizes how users navigate between the pages and features of your site
      • Starts from an initial page view, custom event, or exception
      • User Flows shows the events that happened before and afterwards during user sessions
      • Lines of varying thickness show how many times each path was followed by users
    • Impact
      • It discovers how any dimension of a page view, custom event, or request affects the usage of a different page view or custom event.
      • e.g. how load times influence conversation rates