CloudPilot AI Is Now Available on Microsoft Azure Marketplace

San Francisco — October 12, 2026 — CloudPilot AI — autoscaling Kubernetes for the most demanding teams — today announced that it is now available on Microsoft Azure Marketplace. Teams running Azure Kubernetes Service (AKS) can subscribe to CloudPilot AI with the Azure billing account they already use and pay for it on their Azure invoice.

The listing follows CloudPilot AI's official support for Microsoft Azure in June and its availability on AWS Marketplace and Google Cloud Marketplace. Whether your clusters run on AKS, EKS, GKE, or across clouds, you can now buy CloudPilot AI through the marketplace connected to the cloud bill you already manage.

Why subscribe on Microsoft Azure Marketplace?

• One Azure invoice. CloudPilot AI charges appear on your Azure bill, next to the AKS clusters it optimizes.
• No separate contract to negotiate. You subscribe under the standard Marketplace terms instead of onboarding a new supplier and payment channel.
• Usage-based pricing. The CloudPilot AI General plan has no recurring platform fee. Usage is measured hourly and billed per managed vCPU-hour at the published Marketplace rate.
• Custom terms when you need them. For commitment pricing or custom commercial terms, contact us about a private offer.

What CloudPilot AI does for your AKS clusters

AKS Node Auto Provisioning solves how nodes get created. CloudPilot AI adds the automation layer that decides how efficiently and reliably those nodes and workloads should run:

• Resilient Spot savings. CloudPilot AI diversifies workloads across Azure VM families and availability zones, then replaces nodes with a graceful handoff: replacement nodes become Ready and their Pods are Running before the old nodes are drained.
• Workload rightsizing, with first-class Java support. CloudPilot AI continuously adjusts CPU and memory requests based on real usage. For Java services, it also right-sizes the JVM heap, so they run lean without OOM or GC regressions. Learn more: Java workload optimization.
• Faster scaling with image lazy loading and P2P. Containers start as soon as the layers they need are available, and new nodes fetch layers from nearby peers instead of a remote registry. Learn more: Image Accelerator.
• End-to-end observability. A node-level event history plus real-time dashboards for spend, events, and cost trends gives platform teams a clear record of every optimization.

The CloudPilot AI agent is read-only: it can't access your sensitive data and never changes cluster configuration.

How to subscribe

1. Open CloudPilot AI on Microsoft Azure Marketplace and choose Get it now.
2. Select the CloudPilot AI General plan, choose the Azure subscription that should own the purchase, review the terms, and subscribe.
3. When the SaaS subscription is ready, choose Configure account now to continue to CloudPilot AI.
4. Sign in to CloudPilot AI or create an account.
5. Under Claim to Existing Organization, choose the CloudPilot AI organization that should own the subscription, or create a new organization.
6. Connect your AKS clusters with the read-only agent and start saving.

If your organization received a private offer, accept it in Azure before starting the subscription flow above. The user accepting the offer needs the required permissions on the associated billing account and billing profile.

Subscribe to CloudPilot AI on Microsoft Azure Marketplace, or book a demo to see what CloudPilot AI can save on your AKS clusters.

About CloudPilot AI

CloudPilot AI is a cloud infrastructure company based in San Francisco, specializing in autonomous Kubernetes optimization for enterprises operating at scale.

Its mission: Autoscaling Kubernetes for the most demanding teams.

The platform continuously right-sizes workloads, scales node capacity, accelerates container image delivery, automates workload placement, and enables high-performance local storage for I/O-intensive applications. Together, these capabilities help SRE and platform teams reduce cloud costs, improve application performance, and maintain reliability across multi-cloud environments—without manual tuning.

Trusted by more than 100 enterprises worldwide, it helps customers achieve average savings of 67%.