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Managed Kubernetes

Production grade Kubernetes: architected, built and managed

Fairwinds designs, operates, and runs 24/7 on-call for your Kubernetes clusters: upgrades, security patching, right-sizing, and the 2 a.m. pages included.

Fairwinds manages your Kubernetes infrastructure so your engineers can ship business-critical applications faster.

Fairwinds’ SRE teams manage and operate production grade Kubernetes environments, on major public clouds, for organizations across a range of industries.

What changes when we run it

Without Fairwinds

  • Upgrades slip because nobody owns the maintenance window
  • Your senior engineers carry the pager instead of shipping
  • Cluster cost drifts up quarter after quarter, unexamined
  • Security policy lives in a doc, not in the cluster

With Fairwinds

  • Upgrades run on a schedule, tested before they touch production
  • Our SRE team holds the pager, 24/7
  • Quarterly cost reviews with your team, with right-sizing applied
  • Policy-as-code guardrails, patching, RBAC and IAM hygiene: enforced, not suggested

Designed for production

More than a reference diagram; cluster architecture, networking and strategy built for your workloads

Operated 24/7

Monitoring, incident response, upgrades, and patching handled by Fairwinds' expert SRE team

Right-sized continuously

Autoscaling tuned to your workloads, with quarterly cost reviews alongside your team.

Kubernetes for AI Workloads

AI workloads demand GPU-intensive infrastructure. Fairwinds builds Kubernetes clusters with instance types selected for AI performance, and runs them from proof of concept to production scale.

GPU node pools and autoscaling

Node pools optimized for specific AI tasks, with autoscaling that adjusts resources to workload demand for cost-effective performance

Data and model delivery

Storage built for large AI datasets, plus CI/CD pipelines and canary deployments to roll out new models safely

GPU monitoring and observability

Tracking for GPU performance and utilization, with logging and tracing designed for AI workload analysis

Learn more about AI-Ready Infrastructure →

We’ve relied on Fairwinds for years to manage our AWS-hosted Kubernetes clusters, and their team’s expertise, proactive support, and commitment to best practices have made them our go-to partner.

Bryan Garcia · Senior SRE · HaulHub  ·  Read the HaulHub story →

Questions

Frequently asked questions

How much does managed Kubernetes cost?

Pricing is based on the number of clusters and environments we operate, not on node count, so your bill does not move when you scale. Most engagements start with an Infrastructure Design Assessment, which produces a fixed scope and a firm monthly figure before you commit to anything.

What is the difference between managed Kubernetes and running Kubernetes ourselves?

Cloud providers manage the Kubernetes control plane. Everything above it (node groups, networking, add-ons, upgrades, policy, cost, and the pager) is yours. Fairwinds takes that layer: we design the cluster, operate it 24/7, and keep it patched and right-sized, so your engineers work on the product instead of the platform.

How do Kubernetes upgrades work?

We track the Kubernetes release calendar, test each upgrade in a non-production environment first, and run production upgrades in a scheduled window agreed with your team. Never fall behind on a version upgrade again.

Who holds the pager?

We do. Fairwinds SRE teams provide 24/7 on-call coverage for the clusters we manage, including nights and weekends.

Talk to the Kubernetes People

We do more than just managed services. Book a 30-minute strategy call with the team that runs production Kubernetes.

Book Strategy Call