Run Kubernetes GPU jobs on Spot with an on-demand fallback
Configure DOKS Spot GPU pools, autoscaling, affinity and PDBs. Test an on-demand fallback and compare cost per completed Kubernetes GPU job.
Choose a cloud product for your workload, then follow a deployment or integration guide.
28 guides
Configure DOKS Spot GPU pools, autoscaling, affinity and PDBs. Test an on-demand fallback and compare cost per completed Kubernetes GPU job.
Call GPT-6 Astra through DigitalOcean with the Responses API. Check access, create a key, send a request and compare costs before adding routing or agents.
Diagnose OpenCode key, endpoint, model and permission failures with a disposable fixture, a read-only request and a denied edit.
Lock down a Droplet with Tailscale, close public SSH, test access rules, and keep a recovery route. Follow the guide before adding private server applications.
Host a private Home Assistant server on a Droplet with Tailscale HTTPS, no public dashboard ports, backups, and clear limits for devices on your home LAN.
Give one trusted GitHub Actions job a fresh Linux machine, keep its artifact, and confirm the Droplet disappears. Includes cleanup workflows and tests.
Give each customer access to their own files. A Next.js companion checks ownership before issuing a short-lived download link, with tests for the requests that should fail.
Upload once from OBS and let a private relay send the stream to each platform. Includes Docker Compose, an encrypted connection, costs, and a rehearsal checklist.
Create a small docs assistant, attach one fictional source, and check a cited answer and a refusal before adding your team’s documentation.
A working image URL is only the start. Test a new file, a stale copy, and a rollback before moving public assets to a CDN.
Storage can look cheap until people start downloading. This comparison separates storage, requests, and delivery before a good launch becomes an expensive one.
A server snapshot can get a machine back. This guide keeps the application data, Compose files, and database dump you need to prove the app can return.
A preview URL does not replace review, but it gives a teammate a real deployed app to check before a change reaches production.
An always-on assistant needs more than a server. Start with a fresh OpenClaw Droplet, protect the gateway, prove one private workflow, then grow from there.
A short, safe path for running Stoat on a new Ubuntu Droplet. It hardens SSH, installs the official stack, and stops for you to check each real boundary.
Capture the useful error, create a minimal reproduction, then use a serverless model to narrow the problem before you change code.
Changing one database setting is not a migration. Keep a verified recovery point, move the app data, and prove the new database before you retire the old one.
A monitor on the same server as your app can disappear with the problem. Put Uptime Kuma elsewhere, then test the alert with a controlled failure.
A workflow server needs to survive a bad update or a lost Droplet. Keep its credentials, execution history, and configuration in an encrypted backup, then restore it somewhere safe.
A beginner-first walkthrough for a bounded AI pull request reviewer: it reads a redacted diff, posts one advisory comment, and leaves every merge decision to people.
A browser uploads one original directly to private object storage. A small API starts a secured image function, and only optimized variants reach your CDN.
Install OpenCode, connect DigitalOcean Serverless Inference, verify a read-only request in a safe test project, then enable the provider in T3 Code.
Use a fixed evidence format, keep quotes attached to claims, and route every decision through the people who own the roadmap.
Normalize the input, classify it with a controlled taxonomy, and give product managers the original evidence before they prioritize.
Use owned sources, show citations, test the refusals, and leave pricing, security, and contract decisions with the people accountable for them.
Define the policy labels, preserve the original submission, and make escalation rules visible before you automate any routing.
Feed the workflow a reviewed timeline, state what is unknown, and require the incident lead to approve every customer-facing update.
A small, boring backup job is what you want: pause world saves, archive the server data, upload it to a private bucket, then test the restore before a player needs it.