CI/CD in Google Cloud
1. CI/CD in Google Cloud
Let's start by introducing CI/CD in Google Cloud. Application modernization consists of modernizing the application stack, infrastructure, and processes and shifting to a fully managed, scalable infrastructure. CI/CD operationalizes the process and provides developers with tools and automation to achieve application modernization outcomes repeatedly and at scale. App modernization is typically a gradual process. Let's explore how it fits your existing DevOps toolchain. The Accelerate State of DevOps Report highlights examples of CI/CD excellence. To build the report, the Google Cloud DevOps Research and Assessment Team gathered feedback from 39,000 professionals worldwide. Teams are classified as Elite, High, Medium, or Low performers based on their software delivery. Evaluation factors include deployment frequency, lead time for changes, mean time to restore, and change failure rate. In 2024, Elite performers continued to accelerate their software delivery. These performers increased lead time for changes from less than 1 day to less than 1 hour. The data shows that Elite performers deploy 192x more frequently than low performers, have 127x faster lead time to deploy, 8x lower change failure rate, and an impressive 2,293x faster time to recover from incidents when failure does happen. Scale, security, and integration are common challenges encountered in the CI/CD journey. Scaling infrastructure can be costly. Creating fixed replicas of production, staging, and development environments can be expensive. Variations between target environments result in divergence and increased pipeline complexity. Visibility, health and activity monitoring, and onboarding also becomes difficult as your environment configuration increases in complexity. Another frequently encountered challenge is security. In some cases, you may need to split access based on roles to meet compliance standards. In these scenarios, a single CI/CD tool is insufficient. Release promotion controls, reliable rollbacks, and traceability are other issues. And integrating operations teams with logging and monitoring can lead to increased coordination and dependencies. These increases result in a slower time to recovery and increase the complexity of root cause analysis. To help solve these challenges, Google Cloud offers a complete, fully managed, serverless DevOps pipeline with modular systems that can be replaced with existing third-party tooling if desired. Let's explore the pipeline's individual components. Cloud Code is an IDE plugin similar to VS Code and IntelliJ. You can use Cloud Code to write, debug, and deploy Kubernetes applications. It features preconfigured samples for fast deployment. Secure Source Manager is a regionally deployed, single-tenant, managed source code repository hosted on Google Cloud that allows you to store your code and configure triggers to your CI/CD pipelines. Cloud Build is a serverless CI/CD platform for building, testing, and deploying applications in the cloud at scale. Artifact Registry stores, manages, scans, and secures your container images and packages. Cloud Deploy is a declarative continuous delivery system. And you can use Cloud Logging and Cloud Monitoring to observe application performance after code is in production.2. Let's practice!
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