Continuous Integration vs Delivery vs. Deployment TeamCity Guide

Learn how Wiz Code scans IaC, containers, and pipelines to stop misconfigurations and vulnerabilities before they hit your cloud. According to Wiz’s State of Code Security Report 2025, 35% of enterprises run non-ephemeral self-hosted runners with weaker configurations, exposing organizations to lateral movement attacks across repositories and cloud environments. A single breach can distribute malicious code downstream, cause data breaches, or disrupt services. Because pipelines hold privileged access to your entire development ecosystem, they are prime targets for attackers. It differs from general DevSecOps by focusing on the pipeline itself as an attack surface, not just the applications running on top of it. CI/CD, short for continuous integration and continuous delivery (or deployment), is the automated pipeline that builds, tests, and ships code to production.

These benefits enable the rest of the organization to better plan and execute go to market strategies. Yet CI benefits are not limited to the engineering team but greatly benefit the overall organization. The deployment phase is responsible for automatically launching and distributing the software artifact to end-users.

The CI/CD process begins with continuous integration (CI), where developers commit their code to central repositories managed by version control systems (VCSs). CI/CD creates a faster, more precise way of combining the work of different people into 1 cohesive product. Here, the role of automation is to perform quality control, assessing everything from performance to application programming interface (API) usage and security. The continuous integration/continuous delivery (CI/CD) pipeline is an automated DevOps workflow that streamlines the software delivery process.

Collaboration and Communication

If you are starting a new project, we can begin with Continuous Integration from the beginning. If feature branches typically run for ten days, figure out how to cut them down to five. All anyone like me can do is point out some common signposts, in the hope that it will help you find your own path. One of the hard things about describing how to introduce a practice like Continuous Integration is that the path depends very much on where you’re starting.

This action occurs during ingestion of files as well as changes to the components via REST or from the user interface. When components are added or updated in Dependency-Track, an analysis is performed against the component. Dependency-Track consumes and analyzes CycloneDX BOMs at high-velocity and is ideal for use in modern build pipelines.

• Still, there are important tradeoffs between CI/CD benefits and drawbacks.
• Automated tests verify the software functionality, and automated deployment services deliver them to end users.
• Running unit tests, performing test integration routines, and scanning for security flaws become routine checks rather than manual chores.
• Azure DevOps services integrate tightly with pipelines, enabling teams to trace every pipeline run back to a specific commit, pull request, or work item.
• DevOps Engineers utilize Infrastructure as Code (IaC) tools such as Terraform, Ansible, and CloudFormation to provision and manage infrastructure.

Key CI components and processes

Most folks who think they are doing both are running a CI Service on their Feature Branches, which as I explain in the previous question, isn’t doing Continuous Integration. However it is a common confusion that using a daemon build in this way is what Continuous Integration is about. I’ve read some people trying to formulate some distinction between the two, but I find these distinctions are neither consistent nor compelling. In general I see this as a synonym to Continuous Integration and acknowledge that it doesn’t tend to suffer from confusion with “running Jenkins on our feature branches”. As CI Services became popular, many people used them to run regular builds on feature branches.

This is accomplished by using the user security features of the HTTP server in use for the UI. Access to the server by way of the Jenkins UI is similarly limited to the fewest number of users through standard techniques such as multifactor authentication. This is accomplished through typical server operating system and networking security features. A common use of plugins is to provide integration points for CI/CD sources and destinations. The contents of both declarative and scripted pipelines are stored in plain text Jenkinsfiles. A declarative pipeline uses predefined constructs for simpler coding, but that also makes it more rigid than scripted pipelines.

Pipelines

That way people get used to the regular signals and get a sense for the length of the build. CI Services have dashboards that allow everyone to see the state https://www.librarysites.info/learning-the-secrets-of/ of any builds they are running. Continuous Integration is all about communication, so we want to ensure that everyone can easily see the state of the system and the changes that have been made to it. Will the production software be running on machines connected with dodgy wifi, like smartphones? It’s an approach that’s been used over the last decade to deal with growing CloudComputing platforms and will become the dominant way to handle computing infrastructure in the next.

What does Continuous Integration (CI) do?

They use monitoring tools to track the health of infrastructure and applications, ensuring the systems run smoothly and efficiently. These pipelines allow for continuous code integration, making it easier for developers to check in code changes on a regular basis. DevOps Engineers ensure the installation and management of CI/CD pipelines. DevOps Engineers utilize Infrastructure as Code (IaC) tools such as Terraform, Ansible, and https://skillpoint.info/innovations-in-wood-carving-the-latest-tools-and-gadgets/ CloudFormation to provision and manage infrastructure. DevOps Engineers act as a liaison between the development and operations teams, helping to improve communication and collaboration.

Jenkins

Marketing and sales will be able to reference the CI pipeline to coordinate with customer facing communications efforts and events. Product and engineering will work closely to determine the qualifying business functionality expectations that will make up the automated test suite. Once you have a version control system setup with some merge approval steps in place, you’ve established continuous integration! Most modern version control hosting tools have support and features built in for CI. If the target code base for a CI install does not have a VCS, step one is installing a VCS. This increased execution speed can offer both an advantage over other competitors and an overall higher-quality experience to your customers.

Protected variables are available only to pipelines that run on protected branches or protected tags. Leave this field empty to never archive pipelines automatically. Archive old pipelines and all their jobs automatically after a specified time period. Control whether to display a warning page when users view job artifacts through GitLab Pages. For information about manually expiring older artifacts, see the troubleshooting documentation. It is important for performance for the cache directory to be located on the same file system as the Python environment uv is operating on.

It is slower but offers another layer of oversight to help ensure functionality for the end-users. Because changes are deployed to the public automatically, this type of continuous deployment pipeline is typically used only by DevOps teams who have a proven process. How an organization applies the CI/CD pipeline and decides whether to use continuous delivery or deployment depends on its business needs.