digitalocean-compute
DigitalOcean compute services covering Droplets, App Platform, Functions, Kubernetes (DOKS), GPU Droplets, and Bare Metal GPUs. Use when selecting or provisioning compute for applications, containers, or serverless workloads.
Works with
---
name: digitalocean-compute
description: DigitalOcean compute services covering Droplets, App Platform, Functions, Kubernetes (DOKS), GPU Droplets, and Bare Metal GPUs. Use when selecting or provisioning compute for applications, containers, or serverless workloads.
license: MIT
---
# DigitalOcean Compute Skill
---
progressive_disclosure:
entry_point:
summary: "Compute on DigitalOcean: Droplets, App Platform, Functions, Kubernetes, GPU Droplets, Bare Metal GPUs."
when_to_use:
- "When choosing a compute model for an application"
- "When provisioning VMs, PaaS, serverless, or Kubernetes"
- "When planning GPU-backed workloads"
quick_start:
- "Pick Droplets, App Platform, Functions, or Kubernetes"
- "Select region, size, and image"
- "Configure networking and access"
- "Deploy and monitor workloads"
token_estimate:
entry: 90-110
full: 4000-5200
---
## Overview
DigitalOcean compute includes VMs, managed PaaS, serverless functions, and managed Kubernetes, plus GPU offerings for AI workloads.
## Droplets (VMs)
Use Droplets for full OS control and custom networking.
- Choose region and Droplet plan.
- Select an OS image or snapshot.
- Add SSH keys for secure access.
- Attach Volumes for persistent block storage.
- Apply firewalls and VPC configuration.
## App Platform (PaaS)
Use App Platform to deploy from Git or container images with managed build and runtime.
- Connect a Git repository or container registry.
- Define build and run commands or app spec.
- Set environment variables and secrets.
- Configure custom domains and HTTPS.
## Functions (FaaS)
Use Functions for event-driven or lightweight API workloads.
- Create a Functions namespace.
- Deploy functions with doctl or the Control Panel.
- Configure environment variables and triggers.
- Monitor execution and logs.
## Kubernetes (DOKS)
Use managed Kubernetes for multi-service container orchestration.
- Create a cluster and node pools.
- Save kubeconfig for cluster access.
- Deploy workloads with Kubernetes manifests.
- Pull images from Container Registry.
## GPU Compute
Use GPU Droplets or Bare Metal GPUs for AI and ML workloads.
- GPU Droplets: VM-based GPU workloads with flexible sizing.
- Bare Metal GPUs: Dedicated GPU hardware for high performance.
## Compute Selection Guide
- Use **Droplets** for full control and custom configurations.
- Use **App Platform** for managed app deployments from Git or containers.
- Use **Functions** for event-driven workflows and micro APIs.
- Use **Kubernetes** for multi-service container orchestration.
- Use **GPU Droplets** or **Bare Metal GPUs** for AI or GPU-heavy workloads.
## Complementary Skills
When using this skill, consider these related skills (if deployed):
- **digitalocean-containers-images**: Registry and image workflows.
- **digitalocean-storage**: Spaces, Volumes, and backups.
- **kubernetes**: Cluster operations and troubleshooting.
- **docker**: Container build and runtime patterns.
*Note: Complementary skills are optional. This skill is fully functional without them.*
## Resources
**DigitalOcean Docs**:
- Compute: https://docs.digitalocean.com/products/compute/
- Droplets: https://docs.digitalocean.com/products/droplets/
- App Platform: https://docs.digitalocean.com/products/app-platform/
- Functions: https://docs.digitalocean.com/products/functions/
- Kubernetes: https://docs.digitalocean.com/products/kubernetes/
- GPU Droplets: https://docs.digitalocean.com/products/gpu-droplets/
- Bare Metal GPUs: https://docs.digitalocean.com/products/bare-metal-gpus/More DevOps & Infrastructure skills
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