Accelerate Your Time-to-Kubernetes
Is your internal Kubernetes project taking too long to be operational? With Rafay you’ll be up and running within minutes.
Kubernetes has become the de facto standard for managing modern applications. But a few clusters are becoming 5+ production clusters – across clouds, on-prem & at the edge. That requires a very different solution. Rafay was built from day 1 with scalability, security, and interoperability in mind. And our deep bench of certified Kubernetes experts can help you succeed every step of the way.
Rafay delivers a production-ready Kubernetes solution in minutes and streamlines ongoing operations as you scale
Deploy, manage, and upgrade all of your Kubernetes clusters from a single console across all of your on-premise, bare metal, cloud, and edge environments.
Users can quickly provision and bring-up upstream Kubernetes across any number of clusters. Cluster updates and upgrades are seamless with no downtime.
Rafay supports MFA and easily integrates with enterprise-class SSO solutions such as Okta, Ping One and AzureAD
Stop rogue Kubernetes admins and comply with regulatory and governance requirements with RBAC to kubectl and full logging of all actions by user account
Create cluster blueprints to standardize Kubernetes clusters and workflows across your entire infrastructure
Rafay provides turnkey integration with Fluentd, Datadog & Prometheus for detailed cluster resource visibility and monitoring
Fast-track Your Kubernetes deployments with this expert checklist
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Years ago at another company where my co-founder, Hemanth Kavuluru, and I built the security industry’s first software-defined perimeter (SDP) platform, we spent just as much time wrestling with application and infrastructure orchestration as we did developing the solution we… Read More
The declarative model of Kubernetes uses Kubernetes Objects stored in configuration files which are essentially a set of YAML files. For every version and instance of a Kubernetes application that DevOps personnel deploy and run in… Read More