Rafay Platform 4.0 Empowers Enterprise Teams to Simplify Kubernetes Management and Accelerate Cloud-Native Operations
In a significant step forward for organizations managing modern Kubernetes environments, Rafay Systems has unveiled version 4.0 of its eponymous platform. Designed to address the growing challenges of governance, automation, and hybrid workload management, this latest release equips enterprise platform teams with powerful new capabilities to streamline operations, strengthen compliance, and accelerate cloud-native workloads across hybrid and multi-cloud ecosystems.
Available today, Rafay Platform 4.0 introduces a suite of enhancements that simplify Day-2 operations while enabling true developer self-service—all without compromising on governance or control. These updates are tailored to meet the evolving needs of platform teams tasked with supporting Kubernetes at scale, ensuring they can deliver faster, more reliable environments while maintaining strict compliance policies.
Key Enhancements in Rafay Platform 4.0
The latest iteration of the Rafay Platform delivers a range of innovative features designed to empower platform teams and developers alike. Below are some of the standout capabilities:
Enhanced Managed Kubernetes Service
One of the most notable additions is the introduction of Platform Versioning, which allows for phased, controlled upgrades of Kubernetes clusters. This feature significantly reduces the risks associated with upgrading complex environments by enabling teams to roll out changes incrementally. Additionally, Rafay 4.0 includes direct node-level debug log downloads, making it easier and faster to troubleshoot issues as they arise.
The platform also expands its support for diverse infrastructure environments, now including VMware vSphere, Nutanix, and Flatcar Linux. These updates ensure consistent operations across various setups, helping organizations maintain stability and efficiency regardless of their underlying architecture.
Developer Self-Service with Built-In Governance
To bridge the gap between speed and compliance, Rafay’s updated Environment Manager framework enables platform teams to create pre-configured, compliant environments that developers can provision instantly. By offering a cloud-like experience internally, this feature accelerates application delivery timelines while adhering to organizational governance policies. The result? Developers gain the autonomy they need to innovate quickly, while platform teams retain full oversight and control.
Secure, Scalable GitOps Deployments
Security remains a top priority for enterprises operating at scale, and Rafay 4.0 introduces a game-changing enhancement: the Zero Trust Kubernetes Access (ZTKA) model. This capability ensures secure, identity-aware access for large-scale GitOps operations. A dedicated customer proxy for ArgoCD deployments further strengthens security measures, enabling seamless and safe interactions across hybrid and multi-cloud environments.
Expanded Workflow Automation
Automation is central to efficient Kubernetes management, and Rafay’s latest release takes it to the next level. The updated Environment Manager now supports agent pool configuration, simplifying scaling efforts for distributed teams. Additionally, custom workflow handlers for Python and Go allow users to build sophisticated multi-stage automation pipelines without writing extensive custom code. These enhancements enable teams to automate repetitive tasks and focus on higher-value activities.
Blueprint Drafts for Add-On Lifecycle Management
Managing Kubernetes add-ons can be complex, but Rafay 4.0 simplifies this process with enhanced Blueprints. The new draft mode allows platform teams to test and validate changes before deploying them to production. Performance improvements have also been implemented, reducing synchronization times for Day-2 operations and ensuring smoother, more efficient workflows.
Addressing Modern Challenges Head-On
As Kubernetes adoption continues to grow, platform teams face mounting pressure to balance innovation with governance. According to Haseeb Budhani, CEO and Co-Founder of Rafay Systems, “These new capabilities help teams remove the operational barriers that slow innovation. The Rafay Platform enables enterprises to consume infrastructure on demand in a manner that is safe, consistent, and without the overhead that traditionally comes with managing complex systems.”
Indeed, Rafay 4.0 addresses several key pain points faced by enterprises today. From enabling secure GitOps deployments to providing tools for streamlined automation and lifecycle management, the platform empowers organizations to overcome common hurdles and achieve greater agility.
Driving Business Impact Through Simplified AI and ML Workloads
Beyond traditional Kubernetes use cases, Rafay’s mission extends to simplifying how organizations deploy and scale artificial intelligence (AI) and machine learning (ML) workloads. With the rise of AI/ML applications, businesses require flexible consumption models, centralized paths to interact with remote clusters, and cloud-like experiences for on-premises workloads. Rafay 4.0 meets these demands head-on, allowing enterprises and cloud providers to operate at scale with ease.
By leveraging the platform’s expanded support for GPUs and hybrid environments, organizations can optimize their AI/ML initiatives while maintaining robust security and governance standards. This flexibility positions Rafay as a critical enabler of digital transformation, helping businesses unlock real-world value from their investments in cloud-native technologies.
About Rafay Systems
Founded in 2017, Rafay Systems delivers infrastructure orchestration and workflow automation that helps enterprises, cloud service providers, and sovereign AI clouds scale Kubernetes and AI workloads. The company’s flagship product, The Rafay Platform delivers a GPU PaaS™ experience for end-users that effectively transforms complex cloud compute environments into governed, self-service systems that accelerate innovation and simplify operations. The Rafay Platform also helps companies improve governance capabilities, optimize costs of CPU & GPU resources, and accelerate the delivery of cloud-native and AI-powered applications. Customers such as MoneyGram and Guardant Health entrust Rafay to be the cornerstone of their modern infrastructure strategy and AI architecture. Gartner has recognized Rafay as a Cool Vendor in Container Management. GigaOm named Rafay as a Leader and Outperformer in the GigaOm 2025 Radar Report for Managed Kubernetes. To learn more visit www.rafay.co.
