Google Cloud Build - DevOps Test

Focuses on writing and managing Cloud Build configuration files using YAML syntax. This topic explores how YAML is used to define build steps, environment variables, artifacts, and triggers in a Cloud Build pipeline. Learners will progress from creating basic configurations to managing complex builds with condition-based triggers, parallel steps, and caching strategies. Emphasizes the importance of understanding YAML syntax and best practices for maintaining scalable and reusable configuration files.

Teaches how to design, implement, and optimize multi-step build workflows that automate testing, building, and deployment. This topic emphasizes the orchestration of multiple tasks in a pipeline, handling dependencies, integrating testing stages, and managing build artifacts. Advanced learners will explore strategies to optimize workflows by running builds in parallel, utilizing caching, and handling long-running processes efficiently.

Examines how Google Cloud Build integrates with popular version control systems like GitHub, GitLab, and Bitbucket. This topic covers essential skills for configuring automated build triggers on code commits, pull requests, and merges, allowing for continuous integration workflows. Learners will explore advanced branching strategies, multi-repository management, and workflows that support agile development practices across distributed teams.

Focuses on improving the performance and efficiency of CI/CD pipelines through caching mechanisms and optimization strategies. This topic introduces learners to build caching techniques that reduce build times, the importance of build matrices for handling multiple build environments, and how parallel execution optimizes resource use. Advanced concepts include custom caching strategies for large projects and managing build resources such as CPU, memory, and worker pools.

Covers the implementation of security best practices within Cloud Build, including how to enforce proper access controls using Google Cloud’s Identity and Access Management (IAM). This topic also introduces learners to security features such as secret management, vulnerability scanning, and compliance requirements. Advanced learners will explore setting up end-to-end secure CI/CD pipelines with advanced IAM policies, Cloud KMS for managing secrets, and integrating security checks into the build pipeline.

Focuses on deploying applications built using Cloud Build to various Google Cloud services such as Cloud Run, Cloud Functions, App Engine, and GKE (Google Kubernetes Engine). This topic covers automated deployment strategies, environment configurations (e.g., development, staging, production), and rollback mechanisms. Learners will explore how to create flexible and scalable deployment pipelines that can be customized to support multiple environments.

This topic emphasizes integrating automated testing processes (unit tests, integration tests, etc.) into the CI/CD pipeline to ensure code quality and reliability before deployment. Learners will explore methods for running tests as part of the build process, managing test environments, and setting up quality gates to ensure that code meets predefined standards. Advanced learners will delve into test parallelization, handling flaky tests, and optimizing test execution in large-scale CI/CD systems.

Focuses on how to monitor and manage Cloud Build pipelines using Google Cloud’s logging and monitoring tools. Learners will explore techniques for analyzing build logs, tracking build history, and setting up real-time notifications for build events. Advanced learners will work on troubleshooting build issues, improving build performance using logs, and leveraging monitoring systems to detect failures or bottlenecks in the CI/CD process.

Explores the design and implementation of complex CI/CD architectures that span hybrid and multi-cloud environments. This topic covers advanced topics such as integrating Cloud Build with third-party DevOps tools (e.g., Jenkins, Terraform), building scalable pipelines for microservices architectures, and managing CI/CD across distributed teams. Advanced learners will gain expertise in orchestrating complex deployment strategies and ensuring high availability in CI/CD systems for large-scale enterprise applications.