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.
In today's high-stakes race to deliver innovative products without disruptions, the importance of feature management and experimentation has never been more clear. But what strategies are driving success, and which tools are truly moving the needle?
To shed light on these questions, Harness partnered with LeadDev to release The State of Feature Management & Experimentation 2024, an in-depth report revealing the practices behind the top-performing software teams. The report, based on insights from 500 engineering leaders, uncovers one critical element that separates the best from the rest: effective release monitoring.
The Power of Statistical Insight
The survey highlights a striking statistic: 82% of teams excelling in feature management and experimentation can measure system performance and user behavior at the feature level. Meanwhile, only 16% of their peers succeed without this critical capability. This stark contrast underscores a powerful truth — release monitoring is not just helpful; it's essential for identifying issues before they impact users.
The Risks of Flying Blind
Without a robust feature management solution that includes release monitoring, teams risk deploying features without fully understanding their real-world impact. This lack of visibility can allow bugs, performance issues, and broken user experiences to slip through, especially during gradual rollouts. Often, these problems don't surface immediately but cause severe disruptions when features go live. Many leaders mistakenly believe traditional application monitoring tools (APMs) provide enough oversight. However, APMs focus on overall system health and lack the precision to track individual feature impacts — making them inadequate for progressive delivery. The only way to ensure smooth rollouts is with a feature management platform that integrates real-time release monitoring.
The High Cost of DIY Solutions
For companies prioritizing innovation, relying on a DIY feature flagging system often leads to inefficiencies and missed opportunities. Best practices in feature management and experimentation require trusted, purpose-built tools, with release monitoring at their core. A piecemeal approach can't keep up with the speed and complexity of modern software delivery.
Choosing the Right Tools for the Job
When evaluating feature management platforms, it's crucial to look beyond basic functionality. Most platforms demand extensive setup and manual effort to link feature flags with performance data. Only top-tier solutions offer out-of-the-box release monitoring that tracks critical metrics from the moment a flag is created.
Why Monitoring Drives Success
As the industry evolves, release monitoring will become the bedrock of safe, efficient software delivery. Teams that embrace this capability will ensure every feature rollout is a step forward, not a gamble.
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.