JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
30 Must-Have Tools to Support DevOps - Part 4
March 17, 2016
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
April 25, 2024
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.
April 25, 2024
SmartBear has added no-code test automation powered by GenAI to its Zephyr Scale, the solution that delivers scalable, performant test management inside Jira.
April 24, 2024
Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.
April 23, 2024
mabl announced the addition of mobile application testing to its platform.
April 23, 2024
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
April 22, 2024
GitLab announced the general availability of GitLab Duo Chat.
April 18, 2024
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
April 18, 2024
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
April 18, 2024
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
April 17, 2024
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
April 17, 2024
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
April 17, 2024
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
April 16, 2024
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
April 16, 2024
Pegasystems announced the general availability of Pega Infinity ’24.1™.
