# 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

- **Unified Control Plane:**  
  Manage Kubernetes clusters across AWS, Azure, GCP, and OCI from a single interface, reducing complexity and improving operational efficiency.

- **Consistent Policies:**  
  Enforce uniform security, governance, and operational policies across all clusters, ensuring compliance and reducing the risk of configuration drift.

### Automated Updates and Patching

- **Multi-Layer Upgrade Automation:**  
  Automate updates across three key layers: Kubernetes versions (least frequent, most disruptive), Node OS images/AMIs (moderate frequency), Add-ons and in-cluster services (most frequent)

- **Minimal Downtime with Automation:**  
  Automated workflows minimize disruptions during updates, helping maintain high availability and streamline operations across environments.

### Standardized Cluster Provisioning

- **Templates for Cluster Creation & Upgrades:**  
  Use centrally defined templates for provisioning and updates to ensure consistency across teams and environments, and to reduce manual errors.

- **Flexible Interfaces:**  
  Support UI, GitOps, API, and Infrastructure-as-Code tools like Terraform to align with your team’s preferred workflows.

### Role-Based Provisioning for Platform Teams

- **Governed Access for SREs and Developers:**  
  Empower SREs and developers with governed provisioning access using predefined templates and policy guardrails.

- **Portal & Workflow Integration:**  
  Integrate seamlessly with identity providers (IDPs), internal developer portals (e.g., Backstage), and ITSM systems like ServiceNow for streamlined cluster requests and provisioning workflows.

## Why companies use Rafay for CLM in public clouds

### Before

### After

## 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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## Most Recent Blogs

**Jul 24, 2026**  
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**Jul 22, 2026**  
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**Jul 21, 2026**  
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## Start a conversation with Rafay

Talk with Rafay experts to assess your infrastructure, explore your use cases, and see how teams like yours operationalize AI/ML and cloud-native initiatives with self-service and governance built in.

[Start a Conversation](https://mailto:Info@rafay.co/start)