Rafay Systems has released version 4.0 of the Rafay Platform, introducing technical enhancements to support Kubernetes management and cloud-native operations in hybrid and multi-cloud contexts.
Among the new features, Platform Versioning now enables phased Kubernetes upgrades.
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Platform teams can also access node-level debug log downloads for direct troubleshooting, while support has been expanded to include VMware vSphere, Nutanix, and Flatcar Linux environments.
The updated Environment Manager framework allows teams to provision pre-configured environments that comply with organisational standards.
This is designed to provide developers with immediate access to resources without bypassing governance requirements.
Security for GitOps workflows has been addressed through the introduction of a Zero Trust Kubernetes Access (ZTKA) model, according to the company.
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By GlobalDataThis model includes a dedicated proxy for ArgoCD deployments, supplying identity-aware access controls for hybrid and multi-cloud operations.
Workflow automation receives further support with agent pool configuration and the inclusion of custom workflow handlers in Python and Go.
These additions aim to enable multi-stage automation pipelines while minimising the need for custom scripting.
The Blueprints tool now offers a draft mode, allowing platform teams to test and validate changes prior to production deployment.
Performance updates have also been applied to reduce synchronisation times during Day-2 operational tasks.
Rafay Systems CEO and co-founder Haseeb Budhani said: “As more organisations embrace Kubernetes at scale, platform teams are under pressure to deliver faster, more reliable environments for developers while keeping governance intact.
“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.”
Rafay Systems, established in 2017, provides infrastructure orchestration and workflow automation tools with a focus on scaling Kubernetes and AI workloads across enterprise and cloud service provider environments.
