Enterprise platform teams are under increasing pressure to develop and implement automation solutions that enable self-service access to Kubernetes clusters and cloud environments. Why? Efficiently designed self-service workflows play a crucial role in accelerating the pace of innovation while simultaneously reducing operational risks and inefficiencies, and organizations are taking notice.

In fact, according to Gartner's projections, by the year 2026, a significant majority of large software engineering organizations will establish platform engineering teams tasked with providing internal reusable services, components and tools for application delivery. Additionally, 75% of these organizations are expected to integrate developer self-service portals into their operational frameworks.

With the increased pressure, platform teams look to the likes of Rafay Systems to rapidly build automation for cloud environments and Kubernetes so their business can focus on innovation rather than the complexities of cloud infrastructure and operations.

Expanding on its capabilities, the platform provider for cloud and Kubernetes automation, announced the availability of the Rafay Cloud Automation Platform to enable platform teams to deliver automation and self-service capabilities to developers, data scientists and other cloud users.

This new version combines Rafay’s Kubernetes and environment management offerings into a single platform. It provides organizations with a comprehensive solution for building self-service automation to provision and manage the full stack, which is required to support modern applications across any environment including public clouds, private data centers and the edge.

The Cloud Automation Platform facilitates, for example, a way for platform teams to provide self-service infrastructure templates for generative AI use cases to developers and data scientists, while being able to effortlessly manage continuous operations of AI and machine learning applications.

It allows platform teams to build self-service automation for their top initiatives, such as AI and Data Sciences Workbenches as a Service, Landing Zones and Environments as a Service and Namespaces and Clusters as a Service.

AI and Data Sciences Workbenches as a Service lets platform teams provide data scientists and researchers with AI and ML infrastructure on demand to accelerate their company’s AI journey and jumpstart AI and ML experimentation.

With Landing Zones and Environments as a Service, developers can provision and gain access to cloud landing zones and environments including all service dependencies with policy such as time-to-live included.

Namespaces and Clusters as a Service allows developers to access their own namespace or entire cluster with guardrails built in such as role-based access control, network policy, cost management and more.

“Rafay’s Cloud Automation Platform provides an automation solution for platform teams, bridging the complexity gap so enterprises can focus on rapid innovation rather than cloud environment and Kubernetes management,” said Haseeb Budhani, CEO and co-founder of Rafay Systems.

Start a free trial today to learn more about how Rafay is optimizing cloud spend and begin a predictability plan for future Kubernetes growth.