The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, and Synadia announced that the NATS project will continue to thrive in the cloud native open source ecosystem of the CNCF with Synadia’s continued support and involvement.
There's no escape from keeping up with the ever-increasing customer expectations for digital products and services. As a result, software solution providers need to be more accurate and dedicated in their quality assurance of products and deliver that quality at speed. An amazing way to improve quality testing is to fail fast. Testing shouldn't ever take place in a silo. Organizations must incorporate software testing into their continuous delivery pipeline to get the full benefits of DevOps. This is where automated testing services come into play and win the show. Test automation services can provide highly automated, scalable, and secure solutions.
What Is Automated Testing in DevOps?
Automated testing is used to automate a human-driven manual process using advanced software tools to review and validate a software product. Advanced software companies include agile and DevOps during the inception of projects.
Automated testing seeks to quickly and efficiently validate code changes to ensure that new functionality can integrate seamlessly without affecting old features. Automating recurrent testing procedures helps DevOps teams improve software delivery speed, accuracy, and reliability. This approach speeds up the development pipeline, reduces manual errors, and encourages continuous integration and delivery (CI/CD). Automated testing leads to a more efficient and agile development process and lets organizations provide high-quality software without taking much time.
The Imperative Rise of Automated Testing
There was a time when manual testing was the standard and a common practice for software companies. They used to employ a full-time quality analyst team to ensure the flawless performance of the product. The QA team needed to generate a collection of test plans or a checklist to ensure that every feature of a software product behaves as expected. The team must manually execute these test plans every time a new update is made for the software project. After that, QAs sent the test plan results to the development team for further review.
This manual testing process is slow, expensive, and prone to error. Automation testing services can transform the entire scenario and ensure satisfactory gains from team efficiency and the return on investment of quality assurance teams.
Automated testing skilfully diverts ownership responsibilities to the engineering team. They can prepare test plans or assist with the procedure alongside regular roadmap feature development and then complete the execution using continuous integration tools. With the help of an efficient automation testing company, you can reduce the QA team size and let quality analysts focus more on vital and sensitive features.
Automated Testing & Continuous Delivery
The major goal of continuous delivery is to deliver new code releases to customers as fast as possible. Suppose there is any manual or time-consuming step within the delivery process. In that case, automating delivery to users becomes challenging rather than impossible.
Continuous development can be an effective part of a greater deployment pipeline. It is a successor to and also relies on continuous integration. Continuous integration is entirely responsible for running automated tests against new code changes and verifying whether new changes are breaking new features or introducing new bugs. Continuous delivery takes place once the CI step passes the automated test plan.
A high-velocity software team can benefit from this relationship between automated testing, continuous integration (CI), and continuous delivery (CD). QA automation services(link is external) ensure quality at every stage of development and ensure new changes don't bring any bugs. Thus, the software product remains deployment-ready at all times.
Which Software Tests Should Be Automated First?
End-to-end (E2E) testing is critical in software development since it can simulate user experiences throughout the stack. These tests cover critical user stories, ensuring a smooth, bug-free experience for end users, even with new commits. E2E testing tools record user actions that result in test plans for important user flows. For software with low testing coverage, manual execution might be more cost-effective.
Unit tests focus on specific code units, assess input-output interactions, and provide a low-cost, rapid implementation with a high return on investment. Integration tests can simulate third-party service interactions, mock dependencies, and validate intended behavior. They, like unit tests, provide a cost-effective alternative to E2E testing when combined. Performance tests evaluate software speed and responsiveness and alert the team to regressions or speed losses using automated tests against metrics such as "time to page load" and "search results response time."
Conclusion
There's no denying that automated testing is a standard modern software development practice. Renowned software development firms mostly rely on automated testing services. Apart from this, continuous integration and development are also dependent on automated tests.
Software test automation services help the development team deliver reliable and robust software to their customers. In this way, developers can get an open toolchain platform that helps build a CD-based development pipeline with trusted tools.
Industry News
RapDev announced the launch of Arlo, an AI Agent for ServiceNow designed to transform how enterprises manage operational workflows, risk, and service delivery.
Check Point® Software Technologies Ltd.(link is external) announced that its Quantum Firewall Software R82 — the latest version of Check Point’s core network security software delivering advanced threat prevention and scalable policy management — has received Common Criteria EAL4+ certification, further reinforcing its position as a trusted security foundation for critical infrastructure, government, and defense organizations worldwide.
Postman announced full support for the Model Context Protocol (MCP), helping users build better AI Agents, faster.
Opsera announced new Advanced Security Dashboard capabilities available as an extension of Opsera's Unified Insights for GitHub Copilot.
Lineaje launched new capabilities including Lineaje agentic AI-powered self-healing agents that autonomously secure open-source software, source code and containers, Gold Open Source Packages and Gold Open Source Images that enable organizations to source trusted, pre-fixed open-source software, and a software crawling and analysis engine, SCA360, that discovers and contextualizes risks at all software development stages.
Check Point® Software Technologies Ltd.(link is external) launched its inaugural AI Security Report(link is external) at RSA Conference 2025.
Lenses.io announced the release of Lenses 6.0, enabling organizations to modernize applications and systems with real-time data as AI adoption accelerates.
Sonata Software has achieved Amazon Web Services (AWS) DevOps Competency status.
vFunction® announced significant platform advancements that reduce complexity across the architectural spectrum and target the growing disconnect between development speed and architectural integrity.
Sonatype® introduced major enhancements to Repository Firewall that expand proactive malware protection across the enterprise — from developer workstations to the network edge.
Aqua Security introduced Secure AI, full lifecycle security from code to cloud to prompt.
Salt Security announced the launch of the Salt Model Context Protocol (MCP) Server, giving enterprise teams a novel access point of interaction with their API infrastructure, leveraging natural language and artificial intelligence (AI).
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of in-toto, a software supply chain security framework developed at the NYU Tandon School of Engineering.
SnapLogic announced the launch of its next-generation API management (APIM) solution, helping organizations accelerate their journey to a composable and agentic enterprise.