Kubernetes Cluster Lifecycle Management | Rafay

Kubernetes Cluster Lifecycle Management

Streamline Kubernetes Cluster Lifecycle Management Across Public Clouds

Challenges of Kubernetes Cluster Management in Public Clouds

Complexity of Multi-Cloud Operations

Each cloud provider (AWS, Azure, GCP, OCI) has its own set of tools and interfaces for Kubernetes management, leading to increased operational complexity.

Manual and Time-Consuming Updates

Regularly updating Amazon Machine Images (AMIs) and other components across clusters often requires significant manual effort, increasing the risk of errors and downtime.

Decentralized Provisioning Without Guardrails

SREs, developers, and other teams often provision clusters independently. Without centralized templates and policies, this leads to inconsistent configurations and operational risk.

Why Choose Rafay for Multi-Tenancy Infrastructure?

Centralized Multi-Cloud Management

Automated Updates and Patching

Standardized Cluster Provisioning

Role-Based Provisioning for Platform Teams

Why companies use Rafay for CLM in public clouds

Before
Periodic Cluster Upgrades

After
E2E automatic of cluster upgrade workflows (plus versionskipping)

Customer Results
45% increase in productivity with fleet-based automated workflow
100% compliance clusters
4x faster cluster and add-on upgrades and patches

Go Live Today in Any Cloud with Managed K8s

Centrally enforce the latest add-ons, policies and cost controls across all clusters and landing zone

Trusted by leading enterprises, neoclouds and service providers

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