7 CI/CD Pipeline Design Patterns for Software Development

7 CICD Pipeline Design Patterns for Software Development

Enterprises today want to deliver their software as soon as possible. They must find a way to bridge the gap between rapid software development and operational stability. To achieve this goal, organizations can use approaches such as CI/CD or DevOps. However, most enterprises are skeptical about the CI/CD vs. DevOps debate.

Even though systems are becoming more complex, our expectations of the best performance have not changed. It is crucial to have a faster and safer way to get your changes into production. Unfortunately, scripts cannot be modified or executed multiple times. You must also be able to distinguish between different methodologies.

A reliable CI/CD pipeline will allow your engineering team delivers high-quality code with low bugs over time. This blog post will provide a detailed overview of seven CI/CD pipeline design patterns that can be used to increase transparency, autonomy, and maintainability in your deployment processes.

What is a Pipeline?

The agile DevOps workflow that transforms application source code into versioned package files that can be deployed to any environment is called a pipeline. It consists of one or more steps that convert source code into a build, which is then tested and deployed in different environments until it reaches its final destination: the end user.

Also read: Top 10 No-Code Tools for Designers

Types of CI/CD Pipeline Designs

A CI/CD pipeline is a runnable description of the steps that a developer needs to perform while delivering a new version of a software product. Engineers would still have to do these steps manually, and less productively.

Continuous delivery is about reducing the time it takes to deliver high-quality software. This can be achieved by using agile techniques and automating the whole process. A proper structure and pattern are key factors in determining the strategy and structure for pipelines. Pipelines must be deployment-centric. A typical trigger would be an artifact that can be deployed.

These are the seven major types of CI/CD pipeline patterns.

1. Build and Deploy Model

This model is primarily focused on building the prototype and then deploying it later. This pattern has the advantage of allowing you to deploy an artifact multiple times after it is built once.

The environment-agnostic build and deploy model doesn’t need any packages or properties that are specific to the external environment. This model also bundles everything together, including core infrastructure code.

2. Pipelines as a Code

Pipeline logic is codified and stored with infrastructure code. This pattern uses containerized runners. It is treated as a normal app code, and it is subject to the same review processes and branching strategies. The execution of pipelines in containers allows your CI/CD platform to support multiple workloads. However, every workload has its own build environment.

For build environments, container image provenance employs trustworthy Docker images. Implementation of the CI runner can be automated and uniform. It can also grow to meet demand and remain on standby during core hours. It can also minimize delays. The secrets are kept secret and their output is concealed, resulting in enhanced security.

3. Faster Team Feedback

Each commit triggers the appropriate pipeline. Specially optimized pipelines are built to speed up reporting on any issues. To increase speed, they use parallelization to build pipelines for non-interdependent jobs. Quick-build pipelines are able to run crucial jobs quickly.

Every successful run also produces static analysis results as well as a versioned package following this pattern. You can also enable team notifications for pull request status in emails and chat channels, dashboards, or other media.

4. Test Automation Pattern

The core practice of the CI pipeline is automating the build. The build process can also use the tool to build a particular codebase. You can use npm, for example, to build Javascript apps in node Javascript; JVM-based solutions.

Modern test frameworks can also mimic app development using orchestration packages that must be deployed within an app. Automated tests also allow you to modify test coverage to include API changes. A pipeline that is exclusively used for testing automation may be the best option.

Also read: Top 10 Automation Testing Tools

5. Stable Internal Releases

This pattern gives each code branch a complete ephemeral environment that can be created or destroyed easily. This build creates versioned packages which can be deployed and triggered manually or automatically.

Software engineers can also delete or trigger ephemeral environments at any moment. Cloud-native capabilities allow CI runners to assume roles and obtain the appropriate permissions for project completion.

6. Designing Parallel Workflows

Continuous integration is often practiced by development teams in small pieces of code before creating apps. It is common to create a linear flow. It is possible for the whole thing to run in a single direction.

This is a common mistake. It’s easy to apply similar linear thinking when moving from Continuous Integration to Continuous Deliver. If you are doing things simultaneously, your Continuous Delivery system should be creative about managing dependencies.

7. Buttoned-Up Product Releases

It is important to automate paperwork and integrate tagged releases into production. Codified release gates and standard release processes allow for release on demand.

Automated releases leave transparent documentation that can be audited for quality and governance. Release gates can also invoke external APIs, and use the responses from these APIs to decide whether to continue with an existing release or stop it.


Digital products and services are increasingly digitalized. This makes them more competitive. Your organization can make huge leaps in stability and speed with CI/CD pipelines. It also establishes an automated enterprise governance system. A CI/CD pipeline also ensures that your company actively understands and manages risks. Optimize your CI/CD pipeline in order to get the most out of your software development.

This article discussed how to create robust and capable CI/CD pipes that can be used to automate other software development and delivery workflows. Automation will return to you in the form of faster feedback, better quality, and more flow.

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