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

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**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
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**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).

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

### Standardized Cluster Provisioning
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**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.

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

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**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**

Periodic Cluster Upgrades

E2E automatic of cluster upgrade workflows (plus version skipping)

Monthly Node-OS / AMI Patching

One click patching/updates via Git Workflows

Standardize clusters & prevent drift

Rafay Cloud Credentials

Manage multiple tools and workflows across teams, accounts and clouds

Apply & enforce standard cluster blueprints

Lack of support for using native Terraform for cluster lifecycle activities

Robust 24/7 enterprise support

## 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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## 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.