GitLab announced the general availability of GitLab Duo Self-Hosted.
CI/CD is a common phrase in the DevOps lexicon. Despite its everyday use, many lack a clear understanding of its exact definition. While continuous integration (CI) and continuous delivery/deployment (CD) are inherently linked, they do not always coexist.
This blog provides a breakdown of CI and CD and shows how the combination enhances software development.
What is CI?
Simply put — CI is the automation of builds and testing. The process occurs early in the development cycle when teams develop and complete code.
Using CI, developers merge changes from the code base to the main branch as often as possible. To validate the code, a CI solution creates a build (artifact) with the changes and runs automated tests against the build. If the code doesn't pass the tests, the changes don't merge with the main branch. This practice identifies errors early in the development process and ensures compatibility among all changes to the code base.
CI's benefits include:
■ Faster development.
■ Improved software quality.
■ Increased reliability.
■ Improved communication.
Identifying issues early in the coding process makes them easier to fix, reducing the time required to release software updates. CI also drastically cuts down the number of bugs that make it to production. Automated testing identifies most coding issues. Because engineering teams make more frequent, and therefore more minor, changes, any errors escaping detection are less significant.
Without CI, organizations face significant communication challenges. Developers must manually coordinate with one another and could lose visibility into code changes, increasing the risk of breaking functionality. These issues grow as an organization scales. With larger teams and codebases, non-CI methodologies become increasingly difficult to synchronize. Without CI, miscommunication is almost inevitable.
What Is CD?
CD happens when code is written and ready to be pushed to a repository or registry. In DevOps, CD can mean both continuous delivery and continuous deployment, and people often use the terms interchangeably. But while similar, they are not synonymous.
Continuous delivery
Continuous delivery is when developers automatically build an installable artifact after CI is complete, and make it available for download. A user can then download the artifact, and deploy it to an environment.
Continuous delivery results in:
■ Increased safety and speed in product development.
■ Shortened feedback loops.
■ Simplified troubleshooting.
■ Reduced time between updates.
Continuous delivery aims to maintain code in a deployable state but requires a human to push a button to ship the code to production.
Continuous deployment
You cannot perform continuous deployment without continuous delivery. Continuous deployment involves the complete automation of the last step in your software delivery process — deployment. If the code is approved, tested and ready for deployment, continuous deployment sends it to production without human intervention.
Often times, some automated tests require a deployed environment in which to run. In this case a CD system may deploy to multiple environments, and trigger automated testing from the CI system to run against a staging environment after deployment. Such a pipeline will typically only deploy to production if such non-production tests pass.
Continuous deployment also allows teams of all sizes to practice advanced progressive deployment strategies like Blue/Green and Canary. These strategies are important for deploying to production because they gradually introduce changes to a system while minimizing risks and maximizing the ability to respond quickly to any issues. If the code fails at a test at any point, developers can quickly roll the changes back to a predetermined version, reducing the number of users impacted by bad code.
How Do CI and CD Work Together?
While CI and CD occur at different points in the development cycle, they work together. CI ensures frequent integration and testing of code changes. Once code passes CI, CD takes over and automates deployment. CD relies on the stability and reliability established by CI to confidently push code to production.
Some enterprise development teams may choose to only use CI because they want more control over releases and have the personnel to manage deployment effectively. But smaller teams can use continuous deployment to achieve elite metrics, even with limited resources and people.
CI is non-negotiable to remain competitive in today’s market. CD further elevates team performance by building upon CI to accelerate value and empower developers.
Industry News
Tigera announced the introduction of several new innovations to Calico, including a new Ingress Gateway capability for Calico Cloud and Calico Enterprise, and the launch of Calico Dashboards.
Copado introduced three AI-powered DevOps apps for Slack.
Gearset announced that it now supports Salesforce's Agentforce.
Sonar announced the acquisition of AutoCodeRover, an autonomous AI agent platform for software development.
Faros AI announced a collaboration with Microsoft to deliver its AI-powered platform for optimizing engineering workflows on Azure.
Apollo GraphQL announced the general availability of Apollo Connectors for REST APIs and new GraphOS platform enhancements — giving enterprises a faster, more efficient way to execute their API strategies.
Check Point® Software Technologies Ltd.(link is external) announced that its Check Point CloudGuard solution has been recognized as a Leader across three key GigaOm Radar reports: Application & API Security, Cloud Network Security, and Cloud Workload Security.
LaunchDarkly announced the private preview of Warehouse Native Experimentation, its Snowflake Native App, to offer Data Warehouse Native Experimentation.
SingleStore announced the launch of SingleStore Flow, a no-code solution designed to greatly simplify data migration and Change Data Capture (CDC).
ActiveState launched its Vulnerability Management as a Service (VMaas) offering to help organizations manage open source and accelerate secure software delivery.
Genkit for Node.js is now at version 1.0 and ready for production use.
JFrog signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS).
mabl launched of two new innovations, mabl Tools for Playwright and mabl GenAI Test Creation, expanding testing capabilities beyond the bounds of traditional QA teams.
Check Point® Software Technologies Ltd.(link is external) announced a strategic partnership with leading cloud security provider Wiz to address the growing challenges enterprises face securing hybrid cloud environments.