Managed Kubernetes

When Docker is not enough anymore.

As your application grows, managing multiple services on individual servers becomes difficult. Tower's Managed Kubernetes gives you the scalability and reliability of Kubernetes without the operational complexity.

View pricing
managed control planeAPI + schedulermanaged
node pool 01healthy
node pool 02healthy
node pool 03healthy
Control planemanaged
Worker poolsscalable
Upgradesautomatic
Toolingopen

When should you move to Managed Kubernetes?

Start simple. Move when your architecture needs it.

Stay with ContainersMove to Managed Kubernetes
Running one or two servicesRunning multiple interconnected services
Deploying to one serverDeploying across multiple nodes
Occasional releasesFrequent production deployments
Downtime is acceptableHigh availability is important
Manual scaling worksAutomatic scaling is becoming necessary
Everything you need to run Kubernetes in production

Spend time building applications, not maintaining Kubernetes clusters.

Spend time building applications

Not maintaining Kubernetes clusters.

  • Managed control plane
  • Automatic upgrades
  • Cluster monitoring

Scale confidently

As your application grows.

  • Node pools
  • Autoscaling
  • Load balancing

Ship reliably

Without worrying about infrastructure.

  • Persistent storage
  • Backups
  • Rolling updates

Work with the tools you already use

No proprietary workflows.

  • kubectl
  • Helm
  • Terraform
  • CI/CD

Pricing

Worker nodes

Compute

SKUvCPUMemoryDisk (NVMe SSD)Price
C1M212Gi30 GB₹ 959per month
C2M424Gi30 GB₹ 1,925per month
C2M828Gi30 GB₹ 2,617per month
C4M848Gi30 GB₹ 3,643per month
C4M16416Gi30 GB₹ 5,028per month
C8M32832Gi30 GB₹ 9,851per month

Storage

SKUPrice
Standard₹ 7GB / month

Control plane

Compute

SKUvCPUMemoryDisk (NVMe SSD)Price
Base12Gi10 GB₹ 859per month
High Availability---₹ 999per month
Standard12Gi10 GB₹ 1,719per month
Premium12Gi10 GB₹ 2,578per month

Storage

SKUPrice
block-pool₹ 7GB / month

Ready to launch

Production Kubernetes without the operational overhead.

Deploy a managed Kubernetes cluster on Tower and focus on building applications - not maintaining control planes and infrastructure.