Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
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
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.