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Chapter 1: Design and implement traceability and flow of work-Design and implement a structure for the flow of work, including GitHub Flow
Chapter 2: Design and implement traceability and flow of work-Design and implement a strategy for feedback cycles, including notifications and GitHub issues
Chapter 3: Design and implement traceability and flow of work-Design and implement integration for tracking work, including GitHub projects, Azure Boards, and repositories
Chapter 4: Design and implement traceability and flow of work-Design and implement source, bug, and quality traceability
Chapter 5: Design and implement appropriate metrics and queries for DevOps-Design and implement a dashboard, including flow of work, such as cycle times, time to recovery, and lead time
Chapter 7: Design and implement appropriate metrics and queries for DevOps-Design and implement appropriate metrics and queries for development
Chapter 8: Design and implement appropriate metrics and queries for DevOps-Design and implement appropriate metrics and queries for testing
Chapter 10: Design and implement appropriate metrics and queries for DevOps-Design and implement appropriate metrics and queries for delivery
Chapter 11: Design and implement appropriate metrics and queries for DevOps-Design and implement appropriate metrics and queries for operations
Chapter 12: Configure collaboration and communication-Document a project by configuring wikis and process diagrams, including Markdown and Mermaid syntax
Chapter 16: Configure collaboration and communication-Configure integration between Azure Boards and GitHub repositories
Chapter 17: Configure collaboration and communication-Configure integration between GitHub or Azure DevOps and Microsoft Teams
Chapter 18: Design and implement a source control strategy-Design and implement branching strategies for the source code-Design a branch strategy, including trunk-based, feature branch, and release branch
Chapter 19: Design and implement a source control strategy-Design and implement branching strategies for the source code-Design and implement a pull request workflow by using branch policies and branch protections
Chapter 20: Design and implement a source control strategy-Design and implement branching strategies for the source code-Implement branch merging restrictions by using branch policies and branch protections
Chapter 21: Design and implement a source control strategy-Configure and manage repositories-Design and implement a strategy for managing large files, including Git Large File Storage (LFS) and git-fat
Chapter 23: Design and implement a source control strategy-Configure and manage repositories-Configure permissions in the source control repository
Chapter 24: Design and implement a source control strategy-Configure and manage repositories-Configure tags to organize the source control repository
Chapter 25: Design and implement a source control strategy-Configure and manage repositories-Recover specific data by using Git commands
Chapter 30: Design and implement a package management strategy-Design and implement a versioning strategy for pipeline artifacts
Chapter 31: Design and implement quality and release gates, including security and governance
Chapter 32: Design a comprehensive testing strategy, including local tests, unit tests, integration tests, and load tests
Chapter 33: Implement tests in a pipeline, including configuring test tasks, configuring test agents, and integration of test results
Chapter 35: Design and implement pipelines-Select a deployment automation solution, including GitHub Actions and Azure Pipelines
Chapter 36: Design and implement pipelines-Design and implement a GitHub runner or Azure DevOps agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainability
Chapter 38: Design and implement pipelines-Develop and implement pipeline trigger rules
Chapter 40: Design and implement pipelines-Design and implement a strategy for job execution order, including parallelism and multi-stage pipelines
Chapter 41: Design and implement pipelines-Develop and implement complex pipeline scenarios, such as hybrid pipelines, VM templates, and self-hosted runners or agents
Chapter 42: Design and implement pipelines-Create reusable pipeline elements, including YAML templates, task groups, variables, and variable groups
Chapter 44: Design a deployment strategy, including blue-green, canary, ring, progressive exposure, feature flags, and A/B testing
Chapter 46: Plan for minimizing downtime during deployments by using virtual IP address (VIP) swap, load balancing, rolling deployments, and deployment slot usage and swap
Chapter 55: Design and implement desired state configuration for environments, including Azure Automation State Configuration, Azure Resource Manager, Bicep, and Azure Automanage Machine Configuration
Chapter 57: Maintain pipelines-Monitor pipeline health, including failure rate, duration, and flaky tests
Chapter 62: Choose between Service Principals and Managed Identity (including system-assigned and user-assigned)
Chapter 67: Recommend appropriate access levels, including stakeholder access in Azure DevOps and outside collaborator access in GitHub
Chapter 69: Design and implement a strategy for managing sensitive information in automation-Implement and manage secrets, keys, and certificates by using Azure Key Vault
Chapter 70: Design and implement a strategy for managing sensitive information in automation-Implement and manage secrets in GitHub Actions and Azure Pipelines
Chapter 71: Design and implement a strategy for managing sensitive information in automation-Design and implement a strategy for managing sensitive files during deployment, including Azure Pipelines secure files
Chapter 72: Design and implement a strategy for managing sensitive information in automation-Design pipelines to prevent leakage of sensitive information
Chapter 73: Automate security and compliance scanning-Design a strategy for security and compliance scanning, including dependency, code, secret, and licensing scanning
Chapter 74: Automate security and compliance scanning-Configure Microsoft Defender for Cloud DevOps Security
Chapter 77: Automate security and compliance scanning-Automate container scanning, including scanning container images and configuring an action to run CodeQL analysis in a container
Chapter 79: Configure monitoring for a DevOps environment-Configure Azure Monitor and Log Analytics to integrate with DevOps tools
Chapter 80: Configure monitoring for a DevOps environment-Configure collection of telemetry by using Application Insights, VM Insights, Container Insights, Storage Insights, and Network Insights
Chapter 81: Configure monitoring for a DevOps environment-Configure monitoring in GitHub, including enabling insights and creating and configuring charts
Chapter 83: Analyze metrics from instrumentation-Inspect infrastructure performance indicators, including CPU, memory, disk, and network
Chapter 84: Analyze metrics from instrumentation-Analyze metrics by using collected telemetry, including usage and application performance

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