Beyond the direct ability to build and publish an artifact, focusing on both functional and non-functional requirements can help wade through the providers.Īs a DevOps engineer, meeting your internal client where they are is important. When looking for a Continuous Integration tool, at first glance, the tools can be pretty similar if the main goal is to build and publish an artifact. How to Choose Continuous Integration Tools TeamCity does not have an open-source version but does have a free version, which is limited to the number of configurations and agents. TeamCity is primarily on-prem, with a SaaS version as of this time in beta. Pre-dating Jenkins, configuration in TeamCity is written in a Kotlin DSL (domain-specific language). TeamCity is a CI platform from JetBrains, which was released in 2006. In the Continuous Integration space here are eight of the top tools to take a look at. There is certainly a lot of choice of Continuous Integration tools, but there are several prominent platforms. With the rise of microservices, there is an order of magnitude more builds, and the additional horsepower needed to package your builds add to the overhead. Homegrown solutions and early Continuous Integration platforms were not built for the scale required in the cloud-native world today. DevOps teams, viewed as the ones leading engineering efficiency, would be tasked to replace - or not optimally - become those build engineers.īy leveraging Continuous Integration tools, DevOps teams can provide a platform for development teams to be able to quickly and consistently create artifacts to be release candidates that eventually get deployed.Īs builds became more frequent, a common DevOps bottleneck was build infrastructure, especially when dealing with containerization. How Continuous Integration Tools Help DevOps TeamsĪs development teams are starting to be offered in more of a self-service capacity, highly specialized roles, such as build/release engineers, are becoming more of a rarity. In the JAVA example, you might publish the JAVA artifact to a Maven/artifact repository then the Docker Image to a Docker Registry. Once the artifact/deployable unit is created, publishing to an artifact repository/registry is an industry-standard practice. As the artifact/deployable unit is being built or has been built, artifact-centric scans, such as open-source and dependency scans, are great ways to find vulnerabilities and possible license risks. If application infrastructure or deployment needs to be tested, for example in a system or integration test, this is better slated for Continuous Delivery (CD). Since the artifact is not deployed yet, unit tests are great to run in the CI process. Unit and artifact-centric tests are prudent to run during Continuous Integration.
Your build will blend your custom-written code with third-party dependencies. Running language-dependent build tools, such as in the JAVA ecosystem, such as Maven/Gradle, or in the NodeJS ecosystem, such as NPM. Key pillars of Continuous Integration are build, test, and publish. If not externalized, specific application properties will need to be injected into the distribution or deployable. In this case, the JAVA distribution (e.g: the JAR/WAR) needs to be built and the packaging (e.g: the Docker Image) needs to be created. The end goal of a build is to be deployed somewhere, and the main goal of Continuous Integration is to build and publish that deployable unit.įor example, you might have a JAVA application that will be deployed into a container orchestrator. There are several pieces that can go into a build. What is Continuous Integration?Ĭontinuous Integration is automated builds that can be triggered by some sort of event, such as a code check-in, or merge, or on a regular schedule.
This is where Continuous Integration (CI) comes into play. Your average software engineer will build multiple times a day on their local machine.Īt some point, their ideas need to get into the broader team, thus, some sort of external build needs to occur. In the field of software engineering, iteration is key to innovation. Core internal customers for DevOps teams are the development teams who rely on development pipelines, which are usually crafted by a DevOps team. DevOps teams are crucial for organizations improving engineering efficiency.
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