DevOps testing: The challenges, benefits, and best practices

As more organizations adopt DevOps and Agile methodologies for faster software delivery, DevOps testing plays a critical role in helping to ensure the quality of code, and the functionality of software, at each phase of the development lifecycle.

DevOps brings development and operations teams together to produce higher-quality software faster. By eliminating the traditional silos between these two areas, DevOps enables shorter development lifecycles and more frequent software deliveries.

As a result, organizations also require DevOps testing solutions that can keep up with the pace of software delivery and not create unacceptable delays and bottlenecks.

DevOps testing is about integrating testing into every stage of the DevOps cycle, instead of waiting until the very end to check if the software works

What is DevOps testing?

DevOps testing is about integrating testing into every stage of the DevOps cycle, instead of waiting until the very end to check if the software works. From writing requirements to coding, deployment, and even after release, the software gets tested. This gives teams instant feedback, so they catch issues early, fix them cheaply, and keep quality steady.

In a traditional workflow, testing is mostly manual. Developers finished coding, then handed everything over to QA, who tested at the very end. That approach is slow, and worse, it often means critical bugs show up late in the process.

DevOps testing changes that by making testing everyone’s job. Developers write unit tests as they build features, QA validates continuously, and automation keeps the process fast and consistent.

Features of testing in a DevOps environment

These are the key features that make testing in a DevOps environment, different from traditional testing.

Continuous testing

In a DevOps workflow, testing is started early and spread across every stage, running as soon as changes hit the pipeline, meaning you can catch bugs early before they accumulate.

Automated testing

Different types of tests can be automated—especially unit, integration, regression, and performance tests. When properly designed, they are fast, repeatable, and it cuts down on human error. But if you don’t maintain them, those test suites can still get slow and sometimes flaky.

Shift-left testing

This means doing test activities earlier in the development lifecycle rather than after development. Instead of finishing all the code and testing later, devs write tests while they’re coding and run automated checks before pushing their changes.That way bugs show up early, saving time and money, and devs can fix them immediately instead of relearning their code weeks later.

Continuous monitoring and feedback

Testing in DevOps doesn’t end at deployment. You keep eyes on it—monitor application performance, error patterns, user feedback—and feed that back into the next cycle. It’s a loop that keeps getting better.

Shared responsibility

In DevOps, testing isn’t just QA’s job. Devs, Ops, and testers all work together. As Gene Kim, co-author of The DevOps Handbook, explains: “In high-performing organizations, everyone within the team shares a common goal—quality, availability, and security aren’t the responsibility of individual departments, but are a part of everyone’s job, every day.”

DevOps testing types

So, what kind of testing actually makes a difference in a DevOps environment? Here’s the key ones.

Unit testing

Unit tests validate the smallest pieces of code, usually functions or methods in isolation. In DevOps testing, they are considered the first line of defense. They’re fast and run quickly, producing feedback within seconds of running the tests.

Component testing is where you make sure each piece works independently before you try to connect everything together

Component testing

Modern apps are mostly broken into separate modules and services. Component testing is where you make sure each piece works independently before you try to connect everything together.

Integration testing

Your API works. Your database works. But when they try to talk to each other? That’s when the real problems show up. DevOps teams use integration tests to catch these issues before users do.

System/End-to-End testing

This level tests the application as a whole. In DevOps, E2E testing is where automated user journeys are simulated, like a signup flow, payment, or login flow. With it, the team knows the tested feature can handle conditions close to real-world use.

Functional testing

In functional testing, you focus squarely on whether features meet requirements. In a DevOps workflow, they are automated, helping to check features against business requirements without manual QA bottlenecks.

Acceptance/UAT

Even in DevOps, user acceptance testing (UAT) doesn’t go away. Stakeholders or actual users still need to confirm the app solves the problem it’s meant to solve, with feedback being used in the next iteration.

Regression testing

Every developer has that one story about breaking production with a “trivial” change. Regression suites are how you avoid becoming that story. It automatically retests everything important, so your “quick fix” doesn’t accidentally destroy previous work.

Performance testing

Here, you ask questions like “Can this app handle a ton of users hitting it at once?” In a DevOps workflow, performance testing is automated so the team knows if the system under test can survive thousands or even millions of people piling in.

Security testing

Last on the list but never optional. Automated scanning, dependency checks, and penetration tests are essential, especially with security risks in modern pipelines.

The role of automated testing in DevOps

Automated testing is a core part of DevOps. It’s what makes fast, reliable software delivery possible. A recent global survey of more than 5,000 professionals by GitLab found that 67% of organizations now have software development lifecycles that are mostly or fully automated. That number shows how critical automation has become, as without it, DevOps simply can’t scale. Here’s how automation drives DevOps forward:

Runs on every code change

A test can be configured to run every time a developer pushes their code to GitHub, GitLab, or any remote repo, or when a scheduled run happens, the tests start by themselves—no one needs to remember to run them.

Check different levels

Automated testing works across all testing layers, from unit tests for single functions, integration tests to check how modules work together, and also system tests for end-to-end checks. Teams usually follow the test pyramid strategy, where they run lots of unit tests, fewer integration tests, and a handful of system tests to get good coverage.

When properly configured, an automated pipeline can stop broken builds from going forward

Acts as a gate in CI/CD

When properly configured, an automated pipeline can stop broken builds from going forward. If a test fails, the build stops. For example, a failed database migration script is caught before deployment, instead of crashing in production.
Teams can also configure the pipeline so that if only minor UI tests fail, the pipeline continues with warnings instead of stopping everything.

It keeps the process repeatable

In manual testing, you can easily miss a step, but automated testing always runs the same way—every build, same checks, same flow. This consistency is important in DevOps because the pipeline stays reliable, helping to catch issues predictably and speed up releases without breaking anything.

Handles scaling

A person might test 5-10 cases in an hour, but with automation, you can run hundreds or thousands in minutes (especially for unit tests when they’re executed in parallel). For example, testing a payment system with hundreds of card numbers and currencies at once, something humans cannot do quickly.

How automated testing changes the role of QA

In the past, QA usually showed up at the end of the development cycle. Code would be written, features will be ‘done’, and then testers will try to catch whatever might have slipped through. That approach doesn’t fit with DevOps. With automation in place, QA’s role has shifted completely.

These days, QA gets involved right from the start. They help plan the testing strategy, set up the automation framework, and make sure the tests connect well into the CI/CD pipeline. In most teams I’ve been on, QA is more like an advisor. They guide which tools to use and also decide what should be automated and what can stay manual.

Quality checks aren’t treated as a final checkpoint anymore. Testing is now more continuous, with every commit running through automated checks, and QA makes sure those checks cover both unit tests and deeper system tests.

The boring, repetitive, and manual work? That’s mostly gone too. QA engineers now write test scripts, review automation coverage, and fine-tune pipelines.

QA now works shoulder to shoulder with developers and operations. They share the same pipelines and quality goals, which help break down the old silos and redefine QA as a real driver of delivery and stability.

The challenge of DevOps testing

While a growing number of organizations have adopted Agile and DevOps methodologies, surprisingly few have adopted the test automation technology required to support continuous testing in an Agile or DevOps environment.

One recent study found that more than two-thirds of organizations have adopted Agile, but less than one-third have automated their testing technology. This means that even as organizations are investing heavily in technology to transform their development processes, their DevOps testing processes and tools remain stuck in the past.

Most legacy software testing solutions, however, are ill-equipped to handle the demands of continuous testing. Legacy DevOps testing is limited by:

Inability to “shift left”

Many traditional testing technologies and processes can’t be implemented until late in a sprint when the UI and dependent components, such as back-end APIs, are finished and ready for testing.

Excessive maintenance requirements

UI tests must be frequently reworked to keep pace with the speed of change in accelerated development timelines. As a result, teams are burdened by test maintenance requirements, and test automation efforts are often abandoned.

Slow execution

Traditional testing solutions are time-consuming to execute, making it impossible to run a complete regression test suite for every build. As a result, development teams lack insight into whether new changes impact existing functionality and user experiences.

Unstable test environments

Instability and test environments such as inaccessible dependencies and test data issues frequently cause incomplete tests, false positives, timeouts, or inaccurate results, preventing testing teams from delivering the fast feedback that Agile and DevOps processes require.

Organizations can overcome these challenges with superior solutions for test automation and continuous testing.

In finding the right DevOps strategy, there’s no point copying another company’s playbook if your bottlenecks and risks look different

Finding the right DevOps testing strategy

In finding the right DevOps strategy, there’s no point copying another company’s playbook if your bottlenecks and risks look different. You need something that fits your goals and evolves as you go. Here are basic steps that help.

Understand your goal

Before picking what to test, get clear on what you aim to achieve. Do you need faster releases, no downtime, stronger security, or just less manual work? The answer should influence your entire approach. A financial app, for instance, shouldn’t treat security as an afterthought, while a media site might care more about load handling.

1. Know where you stand currently

Figure out where you are right now. What’s already covered in your pipeline, and what’s slipping through your current setup? Getting that baseline makes the rest way more practical.

2. Involve stakeholders early

A DevOps testing strategy isn’t just a QA document. Developers, ops engineers, testers, even product folks should be involved. If your devs aren’t buying into writing unit tests, or ops isn’t looped in on monitoring gaps, you’ll end up with blind spots. The earlier these voices come in, the better the plan holds up.

3. Shift left and automate early

Yes, push testing earlier into the development cycle. Left shifting might not be exciting, but it will save a lot of headaches later. Also, if a test runs often and adds value, automate it. Unit tests, regression checks—these are no-brainers.

4. Choose tools that fit your stack

Match tools to your stack and your workflow. If you’re already pushing your code to GitLab then using GitLab Runner might serve you better.

5. Prioritize by risk

Don’t spread resources thin by giving every feature equal weight. Focus on what breaks the business if it fails. For example, for an online store, checkout and payment might need an extra layer of protection, but for a SaaS product, scalability and API reliability might come first.

6. Make security a built-in priority

Security checks should be run continuously, not at the end—that’s a mistake. A small vulnerability caught early could save you from an emergency patch when customers are already exposed.

7. Keep testing after deployment

Your testing shouldn’t end when the app goes live. You need monitoring and feedback loops in production to catch issues your pre-release tests missed. Your strategy should incorporate this.

Enabling DevOps testing through continuous testing

Continuous testing is the process of executing automated tests throughout the software delivery pipeline to get feedback as quickly as possible about the business risks associated with each candidate for software release.

Continuous testing involves and extends test automation to solve the challenges of a complex and fast-paced development and delivery model. As Wikipedia notes: “The goal of continuous testing is to provide fast and continuous feedback regarding the level of business risk in the latest build or release candidate.”

Continuous testing is defined by a number of key characteristics.

A focus on risk

The primary goal of continuous testing is to assess business risk coverage. Alternatively, continuous testing provides insight into whether a release candidate is too risky to proceed through the delivery pipeline.

An emphasis on the user experience

Continuous testing establishes a safety net that helps teams protect the user experience in accelerated development processes. Continuous testing is broad enough to detect when an application change unintentionally impacts functionality that users have come to rely on.

Integrated testing

Continuous testing is seamlessly integrated into the software delivery pipeline and DevOps toolchain. It executes the right set of tests at the right stage of the delivery pipeline and delivers actionable feedback for each stage.

Continuous testing also embraces a “shift left” approach on functional testing for units, components, and coverage, as well as a “shift right” focus on monitoring, APM, and testing in production.

End-to-end testing

Continuous testing includes end-to-end tests that assess the end-user experience across all front-end and back-end technologies.

Fewer false positives

Continuous testing reduces false positives by prioritizing robust, flexible, modern test frameworks over brittle scripts.

Exceptional efficiency

Continuous testing continuously reviews and optimizes the test suite to eliminate redundancy and maximize business risk coverage.

The benefits of DevOps testing

By automating DevOps testing, organizations can:

1. Identify critical defects and bugs earlier in the process when they are easier and less expensive to fix
2. Promote seamless collaboration between developers, quality assurance (QA)/testing teams, and operations
3. Assess the quality of software at every stage of development
4. Get faster feedback that lets developers fix issues sooner so software can be released more quickly
5. Improve efficiency with the ability to repeat tests that reduce the failure rate for new releases
6. Accelerate time-to-market by reducing test execution time
7. Improve test coverage for mobile, web, and other platforms by scaling test automation tool

By identifying which tests deliver the greatest risk coverage, teams can significantly increase the speed of testing and production

Best practices for test automation in DevOps

How you design your tests and how your team works together are important for getting your automation right. Here are some best practices you should follow.

1. Focus on risk metrics. Focus test automation efforts on processes and transactions that carry higher business risk to reduce the chance that critical defects slip into production. By identifying which tests deliver the greatest risk coverage, teams can significantly increase the speed of testing and production.
2. Automate end-to-end. Automation is critical to driving release velocity and is a key step in implementing the type of testing that delivers higher-quality software faster.
3. Select the right tool. Automated testing tools should enable multiple users and roles to create and execute test cases without having to write code or make complex configurations.
4. Leave room for manual testing. Certain bugs will be more easily found through manual and exploratory testing. Other scenarios don’t lend themselves easily to automated testing.
5. Build independent test cases. By creating independent and self-contained test cases, it’s easier to reuse them and to execute them across different environments.
6. Make test automation a group effort. By adopting a test automation platform that all testers can work with, automation and testing will become a regular part of the daily work of all team members.

Tools for DevOps testing from Tricentis

Tricentis is the industry’s #1 Continuous Testing platform, recognized for reinventing software testing for DevOps. Tricentis offers Agile test management and advanced test automation that’s optimized to support 160+ technologies. By transforming testing from a roadblock to a catalyst for innovation, Tricentis delivers automated insight into the business risks of each software release.

The Tricentis platform offers a suite of solutions based on an automated, fully codeless, and AI-driven approach to continuous testing. Tricentis provides:

1. Enterprise-grade automation. Achieve resilient, end-to-end test automation across any architecture or application stack at scale.
2. Codeless testing. With an AI-driven and model-based approach to testing, Tricentis enables anyone from developers to business experts to automate testing, while eliminating maintenance headaches.
3. End-to-end visibility. Tricentis provides complete visibility across all the tools in the software delivery lifecycle and enables centralized reporting that accelerates remediation.
4. Tools for the full testing lifecycle. Tricentis enables seamless collaboration between developers, testers, and business users on a common set of test cases, plans, data, and artifacts.
5. AI-powered solutions. Test smarter and faster with advanced ML technologies such as Vision AI, Self-healing AI, and Risk AI that can help to reduce the business risk of application changes.
6. Traceability. Enjoy complete traceability and coverage of business requirements to production deployments with best-in-class tools, JIRA testing tools, and DevOps ecosystem integrations.
7. An open platform. Expect extensive support and orchestration of a broad range of open-source and commercial technologies.
8. Real-time analytics. Gain visibility and insights into all testing activities from a central location.

In addition to DevOps testing, the Tricentis platform provides solutions for data integrity testing, smart impact analysis, performance testing, ServiceNow testing, and Salesforce test automation.

Wrapping up

DevOps testing is about keeping quality steady while moving fast. With automation, testing early, and steady feedback, teams can spot issues faster, push out releases quicker.

Tricentis makes this easier with tools built for speed, scale, and modern DevOps pipelines.

Integrate testing into your DevOps pipeline, request a demo and discover how Tricentis enables continuous quality at speed.