SUSE Rancher

Overview

Amazon EKS provides the scale and reliability platform teams depend on, but managing fleets of clusters across accounts and regions often leads to tool sprawl, governance gaps, rising costs, and increasing operational overhead. SUSE Rancher solves this by delivering the first fully managed Rancher experience available exclusively through a cloud marketplace.

This SaaS control plane connects directly to your EKS environments and requires no hosting, no upgrades, and no infrastructure to maintain. You can import clusters in minutes and apply consistent access controls, governance, cost insights, and performance visibility across your entire EKS footprint.

SUSE Rancher includes an AI SRE guide powered by Amazon Q and Amazon Bedrock, helping teams interpret cluster information, understand configurations, troubleshoot issues, and navigate Kubernetes concepts using natural language. All guidance respects existing SSO and RBAC permissions.

Built-in SUSE Observability provides lightweight eBPF insights along with unified metrics, logs, traces, and cost analysis. This helps teams right-size resources, identify inefficiencies, and reduce waste. Together, these capabilities simplify multi-cluster EKS management and give teams the clarity and visibility needed to operate with confidence.

SUSE Rancher is ideal for small teams as well as companies operating EKS at scale. It provides a unified, native cloud experience that streamlines Kubernetes operations without increasing operational burden.

Highlights

• Fully managed Rancher for Amazon EKS multi cluster management. There are no servers to deploy, patch, or secure. You can import existing clusters instantly and apply governance, identity, and policy consistently across all regions and accounts. Including LDAP/AD, SSO, and RBAC.

• Unified observability with lightweight eBPF insights. SUSE Observability provides metrics, logs, traces, cost analysis, and more than 40 prebuilt dashboards. Time travel diffs help teams pinpoint issues by comparing workload or cluster states over time.

• Optimize EKS costs with guided insights. Right sizing recommendations, idle workload detection, and spot instance optimization insights help reduce compute costs and improve resource efficiency.