In a nutshell
- CI/CD has become the foundation for teams that want to deliver quickly without sacrificing reliability.
- Modern pipelines rely on intelligent automation and AI to increase speed and reliability.
- Security is built directly into the pipeline (DevSecOps), rather than being a one-time audit.
- Containers, Infrastructure as Code, and edge computing enhance portability and scalability.
- Continuous monitoring closes the loop: deliver, measure, and correct—all without interruption.
The software development landscape is constantly evolving, and in 2024, trends in DevOps CI/CD pipelines are playing a central role in creating faster, more reliable, and less expensive development cycles.
As a provider of automated testing solutions, we have observed a number of trends that are becoming increasingly widespread.
In this article, we explore the key trends shaping the future of DevOps CI/CD this year.
CI/CD – Their Respective Definitions
To ensure we’re on the same page, let’s distinguish betweencontinuous integration, continuous delivery, and continuous deployment.
Together, these practices make deploying an application less risky, making it easier to release changes to applications in small increments rather than all at once.
CI, or Continuous Integration (CI)
Continuous integration (CI) is an essential practice in software development. It involves frequently merging code changes into a central repository, allowing teams to detect and resolve conflicts earlier.
This process begins as soon as a developer submits a change to the version control system.
This practice allows developers to test every change made to an application's underlying code, enabling teams to speed up their process and fix bugs earlier in the development cycle.
Continuous integration involves several crucial stages of development:
Version control: Every code change is stored in a version control system such as Git. This enables efficient management of different versions of the code and improves collaboration among developers.
Automated build: Every time a change is submitted, the code is automatically compiled (or interpreted, depending on the programming language) to verify that it is free of syntax or compilation errors.
Unit and integration tests: After development, unit and integration tests are run to ensure that the new changes do not negatively affect existing functionality.
Code Review: Code review processes can be integrated to allow peers to review changes before they are merged into the main branch, thereby ensuring code quality and consistency.
Merging and Integration: If the code passes all tests and reviews, it is merged into the main branch. This step ensures that changes are integrated on a regular basis, reducing conflicts and integration issues in the long term.
Unlike continuous delivery, which automates the entire process from software development to production, continuous integration focuses on the creation and automated testing of code.
Continuous Delivery / Continuous Deployment (CD)
Continuous Delivery (CD) implements Continuous Integration (CI), enabling efficient automation to integrate various changes into a test environment and then into production, such as the introduction of new features, configuration updates, and bug fixes before deployment to production.
This phase aims to shorten the “Move to Prod” process and improve software quality. Code is delivered at regular intervals to undergo acceptance testing (UAT, User Acceptance Testing, also known as beta testing) in the test or pre-production environment.
CD solves the problem of operational teams being overburdened with manual processes that slow down application delivery. It builds on the benefits of continuous delivery by automating the next step in the pipeline.
At the heart of this process, automated functional testing is of paramount importance, as it allows for an in-depth examination of all operational aspects of the software, including business rule logic. This approach aims to anticipate and reduce unexpected performance issues and functional malfunctions during deployment, thereby helping to significantly minimize the risk of bugs or other problems that could affect the end-user experience.
The goal of continuous delivery is to ensure absolute reliability for every change made to the code, particularly through the rigorous implementation of automated functional tests.
Continuous Delivery and Continuous Deployment both automate deployment to production, but in different ways. In Continuous Delivery, every change that passes testing becomes eligible for deployment to production. In Continuous Deployment, however, these changes are automatically deployed to production as soon as all tests pass.
Why Should We Pay Attention to Trends in Pipeline Strategies?
The CI/CD pipeline forms the foundation of the DevOps process, which accelerates the deployment cycle while enabling a continuous flow of new features and bug fixes.
The ability to release high-quality code quickly is a major competitive advantage!
A CI/CD pipeline strategy involves implementing automation and continuous monitoring of the development process, allowing for multiple software branches to be in development at the same time while remaining organized.
Without a CI/CD pipeline strategy, DevOps teams can become bogged down by a cumbersome development process that sacrifices efficiency, exacerbates delays, and compromises the reliability of the entire delivery process.
By using the latest CI/CD tools and processes, teams can adapt their software in an Agile manner, taking into account user feedback and market trends.
That said, the following trends in DevOps pipelines make it easier to optimize a pipeline strategy by automating as much as possible while minimizing the risks involved in development cycles.
DevOps Pipeline Trends for 2024
1. Smart Automation and AI
The integration of intelligent automation and artificial intelligence (AI) into DevOps pipelines is growing in popularity.
They are useful for CI/CD pipelines because they help identify code vulnerabilities and reduce waste in cloud-hosted environments, make decisions based on website performance, improve software quality, and detect patterns that could indicate systemic issues.
This leads to more reliable deployments and the proactive identification of potential problems.
2. Automated DevOps Security (DevSecOps)
The integration of security into the DevOps process—known as DevSecOps—is becoming increasingly important.
The rapid pace of development and deployment without adequate security can expose the pipeline to catastrophic risks, such as:
- Vulnerability of Sensitive Data
- Use of unsecured code or third-party components
- Unauthorized access to source code repositories or internal tools
DevSecOps ensures that security measures are integrated throughout the development lifecycle, resulting in more secure applications.
3. Using containers for greater portability
The use of containers, such as Docker, and orchestration systems like Kubernetes is gaining momentum.
These technologies facilitate application portability, accelerate deployment, and enable efficient resource management.
4. Infrastructure as Code (IaC)
IaC is becoming a key pillar of DevOps pipelines. Automating infrastructure using scripts promotes the reproducibility of the deployment environment.
Teams can manage infrastructure in a similar way to source code, ensuring greater consistency across development, test, and production environments. An example:Red Hat® Ansible® Automation Platform.
5. Edge Computing
With the rise of decentralized computing and edge computing, DevOps pipelines are evolving to support these new architectures.
Edge computing aims to bring data processing and storage closer to the data sources in order to speed up response times and conserve bandwidth.
An Edge device is typically an IoT device, but the definition of what constitutes an IoT device continues to evolve.
It will therefore become increasingly important for development teams to reliably deliver the latest versions of software and services to these devices.
There are currently a few services that facilitate Edge delivery, but new tools and plug-ins are likely to emerge for CI/CD pipelines.
6. Continuous and Analytical Monitoring
The teams rely on continuous monitoring tools to collect real-time data on web performance and to gain end-to-end visibility.
This facilitates the rapid detection of problems, the analysis of trends, and the continuous optimization of processes.
7. No more code updates
As teams apply CI/CD best practices to their development processes, integrating updates will be smoother than ever.
Thanks to this increase in flexibility and productivity, we will inevitably see an increase in the number of code updates deployed to production environments.
8. Remote Work Tools for Distributed Teams
Withmore than 50% of work being done remotely, tools that facilitate collaboration and communication among distributed teams will become even more essential.
These tools must integrate seamlessly into existing DevOps workflows.
Mr Suricate France's leading provider of no-code automated testing
Companies that embrace these trends are better positioned to accelerate their development cycles while delivering higher-quality applications.
At Mr Suricate, we help drive the evolution of DevOps CI/CD pipelines by providing a no-code tool that detects bugs in real time on your websites, mobile apps, and APIs by simulating user journeys at regular intervals.
Further Reading
FAQ
What is the difference between CI and CD?
CI (continuous integration) automates the building and testing of code with every change. CD (continuous delivery or continuous deployment) automates the release or deployment to production. Together, they form a pipeline that delivers faster and more reliably.
What are the major trends in DevOps pipelines?
AI-powered intelligent automation, built-in security (DevSecOps), containers, Infrastructure as Code, edge computing, continuous monitoring, and tools for distributed teams.
What is DevSecOps?
It involves integrating security directly into the CI/CD pipeline on an ongoing basis, rather than through an annual audit. Security becomes a shared responsibility at every stage.
Why is monitoring key in a modern pipeline?
Because it closes the loop: once the code is deployed, the monitoring system detects regressions and incidents in production in real time, allowing them to be corrected before they affect users.
How do you perform continuous testing in a CI/CD pipeline?
By incorporating automated testing at every stage. A no-code solution like Mr Suricate with CI/CD and monitors production, for both business teams and enterprise customers.
Take it a step further: continuous testing in CI/CD.
