Over the past decade, the open source landscape has undergone a profound transformation. Once celebrated as a grassroots movement driven by volunteer developers and a shared belief in the freedom of code, open source is now a central pillar of the global technology industry. Yet the narrative that open source is inherently more open or ethical has become less accurate. Instead, the true significance of open source has shifted toward its role as the control plane for modern infrastructure, particularly as artificial intelligence workloads continue to proliferate.
The notion that open source is dying or losing relevance is a misconception. On the contrary, open source engagement is thriving—but in layers that matter most to enterprises: Kubernetes, observability, platform engineering, networking, and the underlying infrastructure that makes AI work in production. The Cloud Native Computing Foundation (CNCF) now hosts over 230 projects with more than 300,000 contributors worldwide. Its 2025 survey found that 98% of organizations have adopted cloud-native techniques, and 82% of container users run Kubernetes in production. GitHub’s Octoverse report for 2025 recorded 1.12 billion contributions, over 180 million developers, and a record 518.7 million merged pull requests. The Apache Software Foundation remains robust, with 9,905 committers across 295 projects and 1,310 software releases in fiscal year 2025.
Control through code
These numbers tell a story of an ecosystem that has matured. Open source is no longer a niche alternative; it is where standards are set and where companies compete for influence. The old view that contributions are acts of charity has given way to a more strategic perspective. Corporations now invest heavily in upstream projects to shape the defaults, interfaces, and operational assumptions that everyone else must adopt. This is control through code—not proprietary lock-in, but a subtle form of influence that often determines the direction of entire ecosystems.
Red Hat exemplifies this approach. As the top contributor to CNCF projects in 2025 with 194,699 contributions, Red Hat pours resources into Kubernetes because its OpenShift platform depends on it. This is not philanthropy; it is product strategy. Microsoft, once the poster child for open source hostility, now ranks second with 107,645 contributions. Google follows closely at 91,158. Independent contributors still matter, landing fourth at 52,404, but the center of gravity is unmistakably corporate. The top contributors have remained consistent over the past decade, signaling a long-term commitment to shaping the infrastructure layer.
Who gives, and why?
The motivations behind these contributions are revealing. Red Hat’s investment in Kubernetes is a direct reflection of its business model. By dominating the control plane of container orchestration, Red Hat ensures that OpenShift remains a natural choice for enterprises. Microsoft’s rise in open source contributions is equally strategic. The company has become a major force in OpenTelemetry, a CNCF project focused on observability standards. OpenTelemetry saw a 39% rise in commits in 2025 and its contributor base grew from 1,301 to 1,756. Microsoft, Splunk, and others are not contributing out of altruism; they see a land grab for observability standards. Whoever controls the way telemetry data is collected and reported can influence how cloud-native applications are monitored and managed.
Another project that demonstrates this dynamic is Cilium, which sits at the intersection of networking, observability, and security. After joining CNCF, the number of contributing companies grew 90%—from 533 to 1,011—and individual contributors jumped from 1,269 to 4,464. Google, Datadog, and Cloudflare all expanded their contributions as Cilium matured. This is not random. As workloads become distributed and latency-sensitive, projects like Cilium become mission-critical for enabling governance, visibility, and efficiency in AI systems.
Nvidia offers a particularly instructive example. Despite immense cash reserves, Nvidia chooses to invest in open source communities rather than buying its way into influence. In Kubernetes contributions, Nvidia ranked 14th with 5,892 contributions over the past two years. It also open-sourced the KAI Scheduler, a Kubernetes-native GPU scheduler from its Run:ai acquisition, and positions itself as a key contributor to Kubeflow. By shaping the scheduling, orchestration, and workflow layers, Nvidia ensures that its GPUs are used effectively in real-world AI deployments. This is a long-term strategy: build the infrastructure that makes AI practical, and the hardware sales will follow.
The broader trend is unmistakable. According to CNCF, 66% of organizations hosting generative AI models now use Kubernetes for some or all inference workloads. CNCF explicitly calls Kubernetes the de facto operating system for AI. While this claim may be self-serving, the underlying reality is that Kubernetes and Kubeflow are becoming central to training and inference systems. Few organizations want to build their future on opaque, inescapable infrastructure they cannot inspect or influence. Open source offers a transparent foundation, even if the motivations behind its development are often commercial.
An essential supporting actor
This transformation means that open source is increasing in importance, but not in the warm, nostalgic way some might imagine. It is becoming less romantic and more essential. The old story of open source as a fringe alternative or a developer-led morality play was never fully accurate, and it is certainly not credible today. Open source is where the cloud-native stack gets standardized, observability normalized, platform engineering productized, and AI infrastructure increasingly built. The companies investing upstream are not doing so because they have discovered civic virtue; they are doing so because whoever shapes the substrate gains leverage over everything built on top of it. As AI continues to drive demand for scalable, governable, and efficient infrastructure, open source will remain the quiet engine powering this revolution—not as a movement, but as a control plane.
Source: InfoWorld News