CI/CD tools available in Google Cloud
1. CI/CD tools available in Google Cloud
The Google Cloud Marketplace has a wide range of tools to help users design and create complex infrastructures, applications, and CI/CD pipelines. Let’s explore some of them. Jenkins is one of the oldest open-source continuous integration servers, and remains the most popular option in use today. Spinnaker is also an open-source tool. It’s a multi-cloud, continuous delivery platform that helps users release software changes with high velocity and confidence. CircleCI is a continuous integration and delivery platform designed to make it easy for teams of all sizes to rapidly build and release quality software at scale. GitLab CI is also a continuous integration tool. It’s built into GitLab, a platform for Git repository hosting and development tools. Then there is Drone, which is a modern CI/CD platform built with a container-first architecture. Running builds with Docker is at the core of Drone's design. And then there are specific tools owned and operated by Google, including Artifact Registry, Cloud Build, and Cloud Deploy. In CI/CD pipelines, artifacts are the outputs produced at each stage. They’re typically compiled code, test results, and deployment packages. Artifacts are essential for reproducible builds and consistent deployments, because they ensure that the software delivered is the same, regardless of the environment or time. Google’s Artifact Registry is a fully-managed, secure, and scalable artifact repository for storing, managing, and distributing build artifacts. Artifact Registry can be used to store artifacts of any type, including source code, binaries, and Docker images. Artifact Register features help make it easy for users to manage their artifacts while getting the benefits of Google Cloud’s infrastructure. Features include: Version control, which can be used to track changes over time, which is helpful when debugging or if you need to roll back to a previous version of an artifact. Retention policies, which provide a way to automatically retain artifacts for a designated period of time, or alternatively, automatically delete artifacts after a certain period of time. This can help reduce the risk of data loss, or free up storage space. Access controls, which can be used to define who can view or download artifacts, which helps protect sensitive artifacts from unauthorized users. And webhooks, which are automated notifications sent to a specific URL, that let users know when an artifact is created, updated, or deleted. This is useful for keeping track of artifact changes. In addition, some important, general information to know about Artifact Registry is that it’s built on top of Google Cloud Storage, which is a highly scalable and reliable storage platform; it supports a variety of artifact formats, including AAR, APK, JAR, POM, and ZIP; it can be integrated with a variety of build tools, including Gradle, Maven, and Bazel; and it’s available in all Google Cloud regions. Next up is Cloud Build. In a CI/CD pipeline, the build stage refers to when raw source code is transformed into a deployable package. The process typically involves fetching dependencies, compiling the code, and packaging the application. To help with this process, Google offers Cloud Build, which is a service that can execute builds on Google Cloud infrastructure, an on-premises environment, or a combination of the two. Cloud Build can import source code from a variety of repositories or cloud storage spaces, execute a build to defined specifications, and produce artifacts, such as container images. Cloud Build can be customized to automatically start the build process in response to specific changes in your code. This automation is achieved through pre-defined triggers, which define the specific events that will initiate a build. The build process starts by mounting a common volume named /workspace. Then, the source code of an application is added to this volume. Cloud Build creates each of the build steps as independent containers. This allows each content to operate on the common workspace. This environment reduces the need for redundant data stores. To help deploy and manage complex Kubernetes applications, Cloud Build has built in support for tools like Docker, Git, kubectl, and Helm. Cloud Build can also interact with other Google Cloud products, such as Artifact Registry, Cloud Storage, and GKE. And finally, there is Cloud Deploy, which is a Google Cloud service used to automate the deployment of applications to Google Kubernetes Engine. Cloud Deploy plays a crucial role in the CI/CD pipeline. While CI/CD focuses on automating the entire software delivery process, Cloud Deploy specifically handles the continuous delivery (CD) stage, seamlessly connecting the build artifacts to the deployment environment. It provides a single place to view and manage all of your deployments, and can be integrated with other Google Cloud services, such as Cloud Monitoring and Cloud Logging. Cloud Deploy can deploy applications from many sources, including source code repositories, such as GitHub and Bitbucket; container images, such as Docker and Google Artifact Registry, and Helm charts. And Cloud Deploy also supports many deployment methods. The list includes blue/green deployments, rolling updates, and Canary deployments. Cloud Deploy is a powerful and easy-to-use tool that can help you improve the reliability, scalability, and security of Kubernetes deployments.2. Let's practice!
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