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.
When you talk to enough customers, you get a good feel for a trend. What you can't do is put hard numbers around it. One of the latest such trends is the movement towards continuous development and the need for feature flags to enable that.
We knew that feature flags enable developers to move fast while breaking nothing. But we also wanted to know:
■ What does "move fast" mean?
■ How often do developers release new versions and new features?
■ How prevalent are feature flags?
■ What are the main drivers to adopting feature flags?
■ What are the limitations and challenges?
■ What other solution fits into modern software development?
To find the answers, Rollout, with Atlassian, turned to Vanson Bourne to field a survey with 500 software development decision makers in North America, England, France and Germany.
The results surprised us. We knew there was a shift towards agile development and increased use of feature flags. We just didn't know how prevalent it was. In fact, the survey revealed that nearly all (95%) respondents' organizations have implemented, have begun implementing, or plan to implement feature flags in the future.
The benefits of implementing feature flags also became clear. Almost all (99%) of respondents experienced or expect to experience benefits from the implementation of feature flags, including reduced risk (46%), increased speed of development (46%) and increased speed of deployment (45%). In fact, 97% of respondents told us that it's important for their organization to implement new features quickly.
When it comes to the benefits, organizations that already implemented features flags find it less difficult to develop new features quickly:
■ Only 56% of those who implemented feature flags say its difficult (compared with 80% who haven't implemented feature flags yet).
■ On average, they tend to have built more applications (22) compared to 16 for those who started to implement feature flags, and 14 for those who plan to implement.
■ Another interesting statistic is the direct correlation between having feature flags implemented and the velocity of releasing new version updates.
However, 65% of respondents told us that implementing feature flags had difficulties. Challenges associated with using feature flags included increased complexity (47%), time consuming (41%) and managing large numbers of flags (33%).
88% said that they would at least consider moving to a 3rd party solution, with the reasons being:
■ The cost of in-house development is higher (37%)
■ The system needs to have more capabilities than previously planned (32%)
■ It is more complex than previously anticipated (29%)
We knew that feature flags were becoming a "must have" for modern software development organizations. When executed correctly, feature flags play an important role in helping software organizations move faster without introducing new risks. At the same time, feature flags could also introduce new challenges — manageability and scale. To mitigate these challenges, organizations should consider using third party solutions designed to help manage feature development and deployment.
Finally, treat feature flags as an integral part of the software release process, making sure they do not circumvent any of the organization's current software development and release processes or checks and balances.
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.