SmartBear announced AI enhancements for API testing, UI test automation, and test management across its product suite, the SmartBear Application Integrity Core™.
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
JFrog announced its partnership with iZeno Pte Ltd, a Singapore-headquartered enterprise technology solutions provider.
Red Hat announced an expanded collaboration with Google Cloud to help organizations accelerate application modernization and cloud migrations.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the contribution of SQLMesh, an open source data transformation framework, to the Foundation by Fivetran.
Check Point® Software Technologies Ltd. released the AI Factory Security Architecture Blueprint — a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer.
CMD+CTRL Security won the following awards from Cyber Defense Magazine (CDM), the industry’s leading electronic information security magazine: Most Innovative Cybersecurity Training and Pioneering Secure Coding: Developer Upskilling.
Check Point® Software Technologies Ltd. announced the Check Point AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business.
Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced that Istio has launched a host of new features designed to meet the rising needs of modern, AI-driven infrastructure while reducing operational complexity.
Chainguard announced Chainguard Repository, a single Chainguard-managed experience for pulling secure-by-default open source containers, dependencies, OS packages, virtual machine images, CI/CD workflows, and agent skills that have built-in, intelligent policies to enforce enterprise security standards.
Backslash Security announced new cross-product support for agentic AI Skills within its platform, enabling organizations to discover, assess, and apply security guardrails to Skills used across AI-native software development environments.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of Kyverno, a Kubernetes-native policy engine that enables organizations to define, manage and enforce policy-as-code across cloud native environments.
Zero Networks announced the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes clusters.
Apiiro announced AI Threat Modeling, a new capability within Apiiro Guardian Agent that automatically generates architecture-aware threat models to identify security and compliance risks before code exists.
GitLab released GitLab 18.10, making it easier and more affordable to use agentic AI capabilities across the entire software development lifecycle.




