Deployment
47 guides tagged “Deployment”.
- How to Deploy an AI Agent to Production Treat the agent as a service: a declared scope, an async queue, idempotent steps, a kill switch, budgets, and an audit trail.
- How to Give an Agent Staging Access Without Production Separate account, separate credentials, separate network, and synthetic data. Staging access should be one hop away from production, not one flag.
- Build vs Deploy vs Release: What's the Difference? Building produces an artifact, deploying runs it, releasing exposes it. Separating the three is what makes rollback and canaries possible.
- Do You Need CI/CD for a Solo Project? A solo developer gets less from coordination and more from memory. The smallest pipeline worth maintaining, and what to skip.
- What Are the Stages of a CI/CD Pipeline? A CI/CD pipeline runs source, build, test, package, deploy, and verify. Here is what each stage outputs and which ones a small project can skip.
- Continuous Delivery vs Continuous Deployment: Which Do You Need? Delivery leaves the production push to a person; deployment ships every passing build. The difference is who owns release risk.
- Continuous Integration vs Continuous Delivery: What's the Difference? CI proves every commit integrates and passes tests. Continuous delivery keeps it releasable. Different practices, different failure modes.
- What Is a Build Artifact (and Why Does Yours Keep Breaking)? A build artifact is the immutable output of a build, identified by a digest. Passing it between stages stops environments from diverging.
- How to Productionize an AI App Productionizing an AI feature means adding quotas, timeouts, fallbacks, evaluations, cost controls, and observability around a demo.
- How to Point a Domain at Your Server Point a domain at a VPS, PaaS, or CDN with A, CNAME, and nameserver records. Exact steps, TTL strategy, and how to verify it worked.
- What Is DNS? DNS is the internet's phone book, turning names into IP addresses. Learn how a lookup works, the record types you need, and why changes take time.
- Why Does My App Work Locally but Not in Production? It works locally because your machine supplies what production lacks: env vars, a real database, permissive CORS. A checklist of every divergence.
- Build and Ship Your First Web App With AI A project-based journey for AI builders: scope a small app, write a spec, build one feature end to end, and deploy it to a public URL in two weekends.
- Keep Your App Online A project-based journey for AI builders: automate deploys with CI, add health checks and uptime alerts, and rehearse a rollback before you need one.
- Run a Security Pass Before Real Users A project-based journey: inventory your attack surface, close the failures AI code ships by default, add scanning to CI, and rotate what may have leaked.
- k3s for Vibecoders: Kubernetes on One Cheap Server, Without the Cloud Bill k3s is real Kubernetes in a single binary that runs on a $6 VPS. Learn what it bundles, how to deploy your AI-built app to it, and when a managed cluster is still the better call.
- Kubernetes for AI Builders: Run What Your Assistant Generates Without Wrecking Production Your AI writes Kubernetes manifests it doesn't understand. Learn the objects, the failure modes, the cost traps, and the security gaps — with every linked guide.
- How to Deploy Your First App on AWS for Free Deploy a web app on AWS for $0: Free plan account, budget alert, S3 + CloudFront frontend, Lambda + DynamoDB backend, all inside always-free limits.
- How to Deploy Your First App on Azure for Free Deploy a web app on Azure for $0: the free account's $200 credit, Azure Functions, Static Web Apps, Cosmos DB, and always-free limits that keep it free.
- How to Deploy Your First App on Cloudflare for Free Deploy an app on Cloudflare for $0: Workers (100K req/day), Pages static hosting, D1 database, R2 storage — with zero egress fees and no credit card.
- How to Deploy Your First App on Google Cloud for Free Deploy a web app on Google Cloud for $0: Cloud Run with scale-to-zero, Firestore for data, and the always-free tier limits that keep the bill at zero.
- How to Deploy Your First App on Oracle Cloud for Free Deploy an app on Oracle Cloud for $0: Ampere A1 ARM VM (2 OCPU/12 GB), 200 GB block storage, Autonomous DB, and the idle-reclamation trap.
- Alibaba Cloud vs Tencent Cloud: The Asian Hyperscalers Compared The two clouds that dominate Asia are nearly invisible in Western coverage. Alibaba Cloud (#1 in China, ~33-39% share) vs Tencent Cloud (~10-15%). Real 2026 pricing, regions, real-name verification, and the ICP filing catch.
- Contabo Review: The Cheapest Cloud VPS on the Internet — Worth the Risk? Contabo sells 8 vCPU, 24GB RAM for ~€14/month — half of what Hetzner charges. But shared CPU, capped port speeds, and a polarizing support reputation. Full review with real 2026 pricing, risks, and who should use it.
- Ultra-Budget Cloud Providers Compared: Contabo, UpCloud, Kamatera, IONOS Hetzner and DigitalOcean are too expensive? The next tier down: Contabo (most hardware per dollar), UpCloud (zero-cost egress), Kamatera (build-your-own), IONOS ($2 promos). Real 2026 pricing, billing traps, and who each one is for.
- What Is ICP Filing (and Why Do China's Cloud Hosts Require It)? ICP Filing (ICP备案) is a mandatory government registration for any website or app hosted on mainland China servers. What it costs (nothing), how long it takes (~20 business days), and what happens if you skip it (your site gets blocked).
- Budget Cloud and PaaS Compared: Hetzner, DigitalOcean, Railway, Fly.io, Render, Vercel, Netlify Don't pay hyperscaler prices for a side project. Compare every budget VPS and PaaS: Hetzner (cheapest), Railway (easiest), Fly.io (global), Render (reliable), Vercel (Next.js), DigitalOcean (balanced), Netlify (static). Real August 2026 pricing, hidden costs, and when each one wins.
- How to Choose a Cloud Provider for Your AI-Generated App Your AI writes the app. The cloud runs it. Compare every major provider — Big 3, PaaS, and budget VPS — by cost, complexity, and use case. Decision guide for vibecoders deploying AI-generated apps.
- Deploying AI-Generated Apps to Production: A Vibecoder's Checklist Your AI wrote the app. Now here's every step between 'it works on my machine' and 'it's running in production.' Deployment, monitoring, secrets, databases, and the checklist your AI didn't include.
- DevOps for AI Builders: What You Need to Know When Your AI Writes the Infra Your AI coding assistant writes CI/CD pipelines, Dockerfiles, and Terraform. Here's every DevOps concept you need to understand so it doesn't burn production down. 60+ linked guides.
- Feature Flags vs Feature Toggles: What's the Difference? Feature flag and feature toggle are often used interchangeably, but flags are for release management and toggles are for runtime behavior. Learn the distinction, the four types, and how to use them without creating tech debt.
- How to Roll Back a Bad Deploy A rollback plan turns a bad deploy from an outage into a 60-second fix. Learn the two kinds of rollback and how to rehearse them before you need them.
- Kubernetes vs k3s: Which Should You Run for an AI-Built App? Kubernetes and k3s run the same manifests. The difference is packaging, operations, and cost. A decision guide for small apps and solo builders.
- What Are Database Migrations (and Why Do They Break Deploys)? A migration is a versioned change to your database schema, applied in order. Learn how they work and the failure modes that take down deploys.
- How to Set Up GitOps on a Single-Node k3s Cluster Point Argo CD at a Git repository and let it drive a single-node k3s cluster: automatic sync, drift correction, and rollbacks that are git reverts instead of kubectl commands.
- What Is Zero-Downtime Deployment? Zero-downtime deployment ships new versions without interrupting users. Learn the strategies — rolling, blue-green, canary — and which fits a small app.
- What Is a Blue-Green Deployment? A blue-green deployment runs two identical environments and swaps traffic between them, giving instant rollback. Learn how it works and its costs.
- What Is a Canary Deployment? A canary deployment rolls a new version out to a small slice of users first, watching for errors before expanding. Learn how it limits blast radius.
- What Is a Kubernetes Ingress (and Why Is My App Unreachable)? An Ingress routes external HTTP traffic to Services by hostname and path, and usually terminates TLS. What it is, how a request reaches your app, and why it 404s.
- How to Deploy an App to a Cheap VPS With k3s Install k3s on a single VPS, deploy a containerized app with a Deployment and Service, expose it with an Ingress, and add automatic HTTPS with cert-manager.
- Kubernetes Deployment vs StatefulSet: Which Does Your Service Need? Deployments treat pods as interchangeable; StatefulSets give each pod a stable identity and its own storage. Choosing wrong for a database loses data.
- What Is a Container Registry (and How Do Rate Limits Work)? A container registry stores and serves your Docker images. Learn how registries work, why pulls fail with rate limits, and how to avoid them.
- Liveness vs Readiness vs Startup Probes in Kubernetes Probes tell Kubernetes whether a container is alive, ready for traffic, or still starting. Get them wrong and you get 502s, restart loops, or both.
- What Is Helm (and Should You Use It for Your App)? Helm packages Kubernetes manifests into reusable charts with configurable values. What charts, values, and releases are, and when the added layer is worth it.
- Kubernetes YAML Explained: Deployments, Services, and What Your AI Writes Kubernetes manifests are four fields deep and highly repetitive. Learn the parts of a Deployment and Service that matter, and how to read the YAML your AI generates.
- Kubernetes vs Docker Compose: When Should You Graduate? Docker Compose runs containers on one machine; Kubernetes runs them across many. A practical comparison of when each is enough, and the concrete signs you have outgrown Compose.
- Rolling vs Blue-Green vs Canary Deployments: Which Should You Pick? Compare rolling, blue-green, and canary deployment strategies: downtime, rollback speed, cost, and complexity — with a decision table.