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.
Results from new Forrester Consulting research reveal the 20 most important Agile and DevOps quality metrics that separate DevOps/Agile experts from their less advanced peers. The study was commissioned by Tricentis and led by Forrester VP and Principal Analyst Diego Lo Giudice.
The research examined 94 quality metrics that were classified into four categories. As a high-level summary, the research uncovered the following:
■ Understanding of business risk is the most important determining factor of DevOps and Agile maturity.
■ Experts focus primarily on contextual metrics (e.g., requirements coverage) while others focus on “counting” metrics (e.g., number of tests).
■ Experts are more likely to measure the user experience across an end-to-end transaction while others rely on application-specific or team-specific metrics.
Agile/DevOps Leaders vs Laggards
The study also found that companies with the most successful Agile and DevOps initiatives do a number of things differently:
■ They are transforming software testing into Continuous Testing by adopting five core practices, such as automating end-to-end functional testing and integrating testers into cross-functional teams.
■ They are almost twice as likely to consider automating the software quality process to be a “critical business differentiator” (53% vs. 27%).
■ They are significantly more likely (by 23 percentage points) to have high levels of automation for key testing and QA processes (test case design, functional test automation, test data management, etc.).
“Organizations adopt DevOps to accelerate the delivery of innovative software that creates positive user experiences,” explained Clark Golestani, Managing Director of C Sensei Group and former President, Emerging Businesses and Global CIO of Merck. “If you start accelerating delivery without also rethinking your approach to quality, you will end up rapidly delivering updates that drive your customers to competitors. Automated, continuous testing is the gate that allows you to protect your organization from significant risk as you innovate at the speed modern business demands.”
The Risk “Blind Spot”
Risk is a prevalent thread throughout the various parts of the report. Most firms (80%) believe they deliver within acceptable business risk, but fewer than a quarter state that their QA and testing processes completely cover business risk. Moreover, just 15% of respondents say that their test suites reliably provide a good indication of business risk.
Interestingly, although risk-related metrics do not rank high in overall popularity, Agile and DevOps experts measure them significantly more frequently than the non-experts do. In fact, Agile and DevOps experts consistently rank risk-related metrics among their top 3 most valuable metrics in different phases and categories.
Other notable findings include:
■ Only 26% of firms with active Agile/DevOps adoptions are currently practicing the five core Continuous Testing practices shown to separate Agile/DevOps leaders from laggards.
■ Many CXOs and high-level decision makers are vastly overestimating the maturity of their firms’ Agile and DevOps practices.
■ Firms that rely on manual testing are more than twice as likely to report that testing is a bottleneck (59%), compared to those with more automated quality processes (26%).
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.