digitalocean-compute

DigitalOcean Compute Skill

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Install skill "digitalocean-compute" with this command: npx skills add bobmatnyc/claude-mpm-skills/bobmatnyc-claude-mpm-skills-digitalocean-compute

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:

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