- How to Configure Advanced Load Balancer Settings in Kubernetes Clusters
- How to Connect to a DigitalOcean Kubernetes Cluster
- How to Add Load Balancers to Kubernetes Clusters
- Build and Deploy Your First Image to Your First Cluster
- How to Create Kubernetes Clusters
- DigitalOcean Kubernetes Changelog
- How to Add Volumes to Kubernetes Clusters
- How to Enable Cluster Autoscaler for a DigitalOcean Kubernetes Cluster
- How to Use the Routing Agent in Kubernetes Clusters
- Kubernetes Quickstart
DigitalOcean Kubernetes
Generated on 27 Aug 2025
DigitalOcean Kubernetes (DOKS) is a Kubernetes service with a fully managed control plane, high availability, and autoscaling. DOKS integrates with standard Kubernetes toolchains and DigitalOcean’s load balancers, volumes, CPU and GPU Droplets, API, and CLI.
Getting Started
Quickstarts and intermediate tutorials to get started.
How-Tos
How to accomplish specific tasks in detail, like creation/deletion, configuration, and management.
Reference
API and CLI reference documentation for the DigitalOcean Kubernetes service, including example requests and available parameters.
Concepts
Explanations and definitions of core concepts in Kubernetes.
Details
Features, plans and pricing, availability, limits, known issues, and more.
Support
Get help with technical support and answers to frequently asked questions.
Related Links
Is Kubernetes Right for Me?
Choosing the best deployment platform for your business.
High-Availability Control Plane for DOKS Clusters
Maximize reliability for critical workloads and environments.
Kubernetes Bootstrapper
Framework to set up production-grade clusters.
Kubernetes Adoption Journey
Hands-on tutorial for going from day one to production on DOKS.
Case Studies
How customers build and scale their applications using DOKS and other DigitalOcean services.
Marketplace
Learn Kubernetes by starting with one of our preconfigured stacks.
Latest Updates
28 July 2025
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DOKS node pools with AMD GPU worker nodes now have the following observability features:
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You can monitor basic metrics, such as GPU VRAM usage.
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We automatically deploy the ROCm Device Plugin for Kubernetes, which enables features such as GPU discovery and health checks.
When creating or updating a cluster with the API, you can install the AMD Device Metrics Exporter plugin with the
amd_gpu_device_metrics_exporter_pluginrequest body parameter to ingest GPU metrics into your own monitoring system. -
15 July 2025
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AMD Instinct MI325X GPUs are now available for DOKS clusters. These GPUs are available in 1- or 8-GPU configurations when creating new clusters or adding node pools to existing clusters. You can use these GPUs in the control panel and the API using slugs
gpu-mi325x1-256gb(1 GPU) andgpu-mi325x8-2048gb(8 GPUs). Learn more about GPU worker nodes.
1 July 2025
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The DOKS database operator, which facilitated integration of DOKS clusters with managed databases, is deprecated. Your existing databases remain operational and the operator-related CRDs are not removed. You can use the DigitalOcean API, CLI, or control panel to manage the databases created with the operator.
For more information, see all Kubernetes release notes.