Tricentis unveiled two innovations that aim to redefine the future of software testing for the enterprise.
DEVOPSdigest asked experts from across the industry for their recommendation on a key technology required for DevOps. Part 4 of the list covers QA and testing.
Start with 30 Must-Have Tools to Support DevOps - Part 1
Start with 30 Must-Have Tools to Support DevOps - Part 2
Start with 30 Must-Have Tools to Support DevOps - Part 3
21. QA AUTOMATION
There are many tools to ensure DevOps success. But probably the most forgotten is QA automation that is wicked fast. Fast creation, parallel runs, unit, functional, performance, security, compatibility etc. DevOps should not be a call to lower quality.
Kevin Surace
CEO, Appvance
22. LOAD TESTING
Load Test Tools are instrumental. sLoadTest by itself deserves a place as the tool to identify the gap between Dev and Ops when it comes to scalability and stability during load. The tool / SaaS service need to both deliver easy-to-run script as well as being able to scale to massive load. It is worth it to point out that the deployment aspect of DevOps typically includes concepts like continuous integration and deployment. The missing part is often an API driven loadtest validation of performance for every deployment, not just for the big releases.
Sven Hammar
Founder and CEO, Apica
23. PERFORMANCE TESTING
A delivery pipeline-friendly performance testing tool is absolutely critical to ensure DevOps success. This confirms that each check-in, integration build, staging deployment and production deployment does not introduce performance issues into the application or site, and that if performance issues do arise, the team is able to get feedback quickly, in under 24 hours, so they can fix the performance issues with the fresh knowledge of the changes that were made. Performance testing as part of the delivery pipeline simultaneously reduces time to test while increasing test coverage. The end result is greater confidence that customer experience will not be impacted by performance issues as new releases are deployed.
Dave Karow
Director of Product Marketing, BlazeMeter
24. SERVICE VIRTUALIZATION AND VIRTUAL TEST NETWORK
An increasing number of reviews of Service Virtualization software state that service virtualization is a must-have tool to ensure DevOps success. As one reviewer writes "...our service virtualization software enables us to run more tests and find more defects before going into production.
Russell Rothstein
Founder and CEO, IT Central Station
The adoption of DevOps has shortened and simplified the application development lifecycle. But with an increased focus on speed to market comes an even greater risk that the application will fall short against its objectives. This risk is further accentuated when the application relies - as most do these days - on distributed networks. To mitigate this, DevOps teams need a means of verifying, at every stage of the development process, how the application performs in the real world network environment. This capability is provided by using a Virtual Test Network (Network Emulator) which recreates, on demand, a wide range of adverse network conditions, often encountered in real world networks, in which to test application behaviors.
Frank Puranik
Senior Technical Specialist, iTrinegy
25. LOG ANALYTICS
One of the most important tools to enable DevOps is log search and analysis across domains for faster root cause analysis. This ensures application problems are detected and diagnosed quickly thereby enabling faster time to market
Payal Chakravarty
Sr. Product Manager - APM, IBM
26. ON-DEMAND APP ENVIRONMENT
On-demand fully provisioned application environments are essential to eliminating bottlenecks and reducing contention between development and test teams.
Kelly Looney
Regional Consulting Manager, DevOps Strategy, Skytap
Industry News
Snyk announced the acquisition of Invariant Labs, an AI security research firm and early pioneer in developing safeguards against emerging AI threats.
ActiveState expanded support of secure open source to include free and customized low-to-no vulnerability containers that facilitate modern software development.
Pythagora launched an all-in-one AI development platform that enables users to build and deploy full-stack applications from a single prompt.
Cloudflare announced that Containers is in public beta.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the launch of the Agent2Agent (A2A) project, an open protocol created by Google for secure agent-to-agent communication and collaboration.
Salesforce announced Agentforce 3: a major upgrade to its digital labor platform that gives companies the visibility and control to scale AI agents without compromise.
Wix.com Ltd. announced its acquisition of Base44, an AI-powered platform that enables anyone to create fully-functional, custom software solutions and applications using natural language, without the need for traditional coding.
Code Platoon, a nonprofit coding bootcamp for Veterans, active duty Servicemembers, and military families, is proud to announce the launch of its newly revamped AI Cloud and DevOps Engineering program.
Salt Security announced the launch of Salt Cloud Connect for AWS, an API security solution to deliver full API visibility and posture governance without the need for traffic data or agents.
CoreWeave announced the launch of three new AI cloud software products and capabilities to help customers develop, deploy, and iterate AI faster.
BrowserStack announced support for Playwright tests on real iOS devices with Safari.
JFrog announced a partnership with TL Consulting, an Australian-based professional services organization specializing in cloud-native, GitHub and Microsoft DevSecOps implementations.
Kusari unveiled Kusari Inspector, an artificial intelligence (AI)-based pull request security tool that brings cutting-edge security risk analysis directly into developers’ daily workflows.
Secure Code Warrior announced the availability of AI Security Rules on GitHub – a free resource to help developers generate more secure code when working with AI coding tools like GitHub Copilot, Cline, Roo, Cursor, Aider and Windsurf.