- Learn how to implement continuous monitoring tools to track application usage and flow. Explore Azure Monitor, Log Analytics, Kusto Query Language (KQL), and Application Insights for comprehensive telemetry, performance monitoring, and user behavior analysis.
By the end of this module, you're able to:
Implement tools to track feedback and telemetry data from applications
Plan for continuous monitoring strategies across development and production environments
Implement Application Insights for comprehensive application performance monitoring
Use Kusto Query Language (KQL) to query and analyze telemetry data
Design and implement metrics and queries for actionable insights
Monitor application performance using Azure Monitor and Log Analytics
Understand the inner loop and outer loop development workflows
- Learn to create comprehensive monitoring dashboards using Azure Dashboards, Azure Monitor Workbooks, Power BI, and GitHub monitoring tools. Track pipeline health metrics including failure rates, duration, and flaky tests. Optimize pipeline performance for cost and reliability. Explore visualization strategies and custom application development for DevOps monitoring at scale.
By the end of this module, you'll be able to:
Configure comprehensive monitoring in GitHub with status badges, insights, and Actions analytics
Create and customize Azure Dashboards with pinned visualizations from multiple Azure services
Develop interactive Azure Monitor Workbooks with parameters, queries, and custom visualizations
Implement Power BI dashboards for advanced DevOps analytics and business intelligence
Build custom monitoring applications using Azure DevOps REST APIs and Application Insights SDKs
Monitor pipeline health metrics including failure rates, execution duration, and flaky test detection
Optimize pipelines for cost, time, performance, and reliability using data-driven strategies
Implement pipeline concurrency optimization to balance throughput performance with infrastructure costs
Design effective visualization strategies that communicate system health to diverse stakeholders
Establish alerting and notification systems based on dashboard metrics and threshold violations
- Learn to share knowledge effectively within development teams using Azure DevOps Wikis, GitHub documentation, and Microsoft Teams integration. Explore documentation strategies, wiki creation and management, Markdown formatting with Mermaid diagrams, and real-time collaboration tools to preserve organizational knowledge and improve team productivity.
By the end of this module, you'll be able to:
- Implement knowledge sharing strategies to preserve organizational learning and reduce repeated mistakes
- Create and manage Azure DevOps project wikis with appropriate permissions and access control
- Write technical documentation using Markdown and GitHub Flavored Markdown (GFM) syntax
- Create diagrams in documentation using Mermaid syntax for flowcharts, sequence diagrams, and graphs
- Integrate GitHub with Microsoft Teams for notifications, pull request discussions, and issue management
- Integrate Azure DevOps Boards, Repos, and Pipelines with Microsoft Teams for unified collaboration
- Configure subscriptions, filters, and notifications for work items, pull requests, and pipeline events
- Establish documentation practices that support team onboarding, standards communication, and knowledge retention
- Learn to design automated application analytics processes using Azure Application Insights, telemetry integration, augmented search capabilities, and monitoring tools to improve DevOps efficiency and user experience.
By the end of this module, you'll be able to:
- Design automated application analytics processes using Azure Application Insights.
- Implement augmented search strategies for rapid incident response and root cause analysis.
- Integrate telemetry data collection across applications and infrastructure.
- Select and configure monitoring tools with advanced capabilities for continuous application monitoring.
- Connect ITSM tools with Azure monitoring services for streamlined incident management.
- Learn to manage monitoring alerts effectively, conduct blameless retrospectives after incidents, and develop a just culture that promotes learning from failures. Improve application performance by reducing alert fatigue and understanding performance degradation patterns.
By the end of this module, you'll be able to:
- Configure Azure Application Insights smart detection and interpret performance degradation notifications.
- Diagnose and improve application performance using telemetry and profiler data.
- Reduce alert fatigue by distinguishing actionable alerts from meaningless noise.
- Conduct blameless retrospectives that focus on system improvements rather than individual blame.
- Build a just culture where engineers learn from mistakes without fear of punishment.
