Course Outline

Introduction to Make for Government DevOps

  • Overview of Make as an automation tool for government
  • Key features and capabilities for DevOps in the public sector
  • Understanding Make's workflow automation capabilities for government operations

Integrating Make with CI/CD Tools for Government

  • Connecting Make with Jenkins for automated builds in government systems
  • Integrating with GitHub for version control and automation in public sector projects
  • Using Make to trigger CI/CD pipelines based on commits in government workflows

Automating Cloud Infrastructure Workflows for Government

  • Using Make for infrastructure provisioning in government IT environments
  • Automating server monitoring and health checks for government systems
  • Integrating with cloud services (AWS, Azure, Google Cloud) for government operations

Containerized Deployment Automation for Government

  • Using Make with Docker for containerized deployments in government applications
  • Automating microservices workflows for government projects
  • Orchestrating deployments across multiple environments for government agencies

Advanced DevOps Automation Strategies for Government

  • Automating rollback strategies for failed deployments in government systems
  • Scaling DevOps workflows with Make’s API integrations for government operations
  • Optimizing performance and security in automated workflows for government agencies

Real-World Use Cases and Best Practices for Government

  • Case studies on DevOps automation with Make in the public sector
  • Best practices for managing large-scale automation workflows in government projects
  • Troubleshooting common issues in CI/CD automation for government systems

Summary and Next Steps for Government

Requirements

  • Familiarity with DevOps principles and continuous integration/continuous deployment (CI/CD) workflows
  • Experience with automation tools and infrastructure management for government
  • Basic knowledge of scripting and cloud-based environments

Audience

  • DevOps engineers
  • CI/CD pipeline engineers
  • Cloud infrastructure teams
 14 Hours

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