HomeBlogBuild Web Apps on Your Own Terms: 5 Self-Hosting Platforms

Build Web Apps on Your Own Terms: 5 Self-Hosting Platforms

Build web apps without becoming DevOps. Compare 5 self-hosting platforms, key trade-offs, and how to ship a web based application with predictable cost and control.

Build Web Apps on Your Own Terms: 5 Self-Hosting Platforms

If you are trying to build web apps as a solo founder, you usually start with the easiest thing that runs. A local Docker Compose file, a single VPS, maybe a quick deploy button. Then the first real “production moment” happens. An investor asks for a live demo. A few users sign up at the same time. You need SSL, logs, rollbacks, background jobs, storage, and a database backup yesterday.

This is the point where many builders realize the same pattern. Frontend hosting is rarely the hard part. The hard part is getting a production-ready deployment workflow that does not turn you into a full-time DevOps engineer.

Self-hosted PaaS tools have become the practical middle ground. You keep control and predictable costs on your own VPS, but you still get a Vercel or Heroku-style experience for deploys.

One quick note before we go deeper. If your goal is to move from prototype to production with minimal backend setup, our team maintains a very practical, step-by-step walkthrough in SashiDo’s Getting Started guide. It shows the kind of deployment checklist most people only learn after a few painful weekends.

Why “self-hosted Vercel alternatives” keep winning for indie builders

The reason these platforms keep showing up in indie stacks is not ideology. It is a response to real constraints.

First, there is cost control. When you build your own app and usage spikes, managed platforms can be great, but the shape of the bill can be hard to predict. Self-hosting does not magically make things free, but it makes the moving parts visible. CPU, RAM, disk, bandwidth, and the few services you actually run.

Second, there is operational simplicity. The best self-hosted platforms are not “raw servers.” They are opinionated layers that standardize the boring parts: SSL, routing, deploy hooks, container lifecycle, health checks, and logs.

Third, there is optionality. Many vibe coders start with a simple web based application and then bolt on features: auth, file uploads, realtime, background jobs, and sometimes AI workflows. A platform that supports multiple services on one server (without brittle glue code) buys you time.

How to build web apps on a self-hosted platform without regret

Most platform comparisons start with features. In practice, the decision is easier if you start with failure modes.

Here is the checklist we use when we evaluate “deploy layer” tools for real projects:

  • Can you deploy from Git with a predictable rollback path? When a hotfix breaks something, you need the last known good version fast.
  • Does it handle routing and SSL by default? You want HTTPS everywhere without manually babysitting certificates. Many tools build on Let’s Encrypt for this.
  • Can it run multiple services without turning into YAML spaghetti? Almost every app becomes at least two containers over time.
  • Does it keep logs and health signals where you can actually act on them? If you are the on-call person, you need fast visibility.
  • Does it encourage sane separation between deploy and data? Your database should not feel like an afterthought.

The important trade-off to accept up front is this. A self-hosted PaaS can make deploys feel easy, but it does not remove the need to think about data durability, backups, security updates, and scaling. It just makes those tasks more manageable.

1) Dokploy: a clean Docker-first control plane

Dokploy is a strong fit when you already think in containers and want a UI-driven way to ship them. It leans on Docker and reverse proxy patterns that are now standard for self-hosting.

What makes Dokploy feel good in real life is that it matches how side projects evolve. You start with one container, then you add a worker, then you add a Redis cache, then you add a cron-like job. A Docker-native platform lets you keep that mental model consistent.

The trade-off is that Docker-native does not mean “no ops.” You still need to understand your deployment units, resource limits, and how you handle secrets. If you have never used Compose, it is worth understanding the baseline concepts in the official Docker Compose documentation. Even if the platform hides most of it, the underlying model matters.

Sources worth checking when evaluating this approach: the Dokploy repository and the reverse proxy it often pairs with, Traefik documentation.

2) Coolify: the closest “self-hosted cloud” experience

Coolify is often the first platform people try when they want “push to deploy” on their own server with minimal friction. In practice, it shines when you have two parallel needs: host your web app and also run the services around it.

A common pattern is deploying a frontend, an API container, a database, and one or two support services (like analytics or a queue). Coolify supports that multi-service reality while still keeping the workflow approachable.

Where it can bite you is the same place most platforms can. Once you are running many different services, you become responsible for version upgrades and security patches across them. The platform reduces friction, but it does not remove responsibility.

If you want to evaluate Coolify on its own merits, start with the Coolify repository. Read the README like you are doing incident response. Ask yourself: if the server dies at 2 a.m., will you know what to restore, in what order, and how quickly?

3) Appwrite: backend services plus hosted sites

Appwrite sits in a slightly different category because it is not only a deployment tool. It is also a backend-as-a-service you can run yourself. That matters if your pain is not “where do I host my Next.js app,” but “how do I stop reinventing auth, file storage, and backend APIs every time.”

In a solo-founder workflow, this shows up when you are building something like a marketplace, a dashboard product, or an internal tool. You want auth and storage today, not after a week of stitching together libraries.

Appwrite’s positioning is especially relevant if you worry about lock-in from fully managed BaaS offerings. Many builders eventually compare against managed options like Supabase or a hosted GraphQL layer like Hasura. The key question is not which tool is “best.” It is whether your data model, auth rules, and API style can move when your product changes.

For primary sources, use the Appwrite repository and its official docs in that project.

4) Dokku: the lightweight mini-Heroku for one server

Dokku is the “I just want Heroku on my VPS” option. It is surprisingly powerful for what it is: a single-server PaaS with git-based deploys.

Dokku works well when you want the simplest possible mental model. One server, multiple apps, git push deploys, and a plugin ecosystem for databases and other add-ons. It is especially attractive when your app is not a distributed system. It is one web service and a few supporting components.

The trade-off is that Dokku’s simplicity is tied to its single-server nature. You can scale vertically, you can run multiple containers, but at some point you will need a strategy for high availability and multi-node setups if your uptime requirements get serious.

Primary source: the Dokku repository. If your team is small, read the upgrade notes before you commit. Maintenance cost is rarely in the “install” step. It is in the “six months later” step.

5) Juno: serverless-style apps with a self-hosting mindset

Juno is an interesting choice if you like the serverless workflow but still want self-hosting control. Instead of centering the experience on long-running containers, it leans into WASM-based isolation and a cloud-like developer experience.

This approach can be compelling when your application is event-driven: APIs, background tasks, and small functions that react to requests. It can also be a good fit when you care about sandboxing and a tighter runtime model.

The trade-off is ecosystem fit. If your app needs a very specific runtime dependency or a long-running process model, containers are often more straightforward. Serverless-style platforms can be a better abstraction, but only if they match what you are building.

Primary source: the Juno repository.

The hidden gap: deployment platforms do not finish your backend

Most builders do not fail because they cannot deploy a container. They fail because after deployment, the backend surface area grows.

A few weeks in, you need user accounts, password resets, social login, file uploads, background jobs, push notifications, and realtime state. You can assemble this with separate services, but each service adds operational edges: credentials, network rules, backups, observability, and cost curves.

This is the moment where a lot of indie stacks become fragile. Your deployment layer is solid, but your backend becomes a patchwork.

If you have ever tried to create your own app that supports uploads, auth, and realtime updates, you have seen the pattern. Each new feature is “just one more service,” until you are debugging three dashboards and four sets of environment variables.

A pragmatic split: self-host the deploy layer, standardize the backend layer

One approach we see working consistently is splitting responsibilities:

You self-host the deploy layer (Coolify, Dokku, Dokploy) so you keep cost control and server ownership. Then you standardize the backend layer so your application development platform does not become an endless integration project.

This is where SashiDo - Backend for Modern Builders fits in for many indie teams. We run the backend building blocks that usually become time sinks when you are moving fast: a MongoDB database with CRUD APIs, full user management with social logins, file storage backed by S3 with a built-in CDN, realtime over WebSockets, scheduled jobs, serverless functions in multiple regions, and mobile push notifications.

The point is not “managed vs self-hosted.” The point is where you want to spend your limited attention. If your differentiator is your product, it is often rational to avoid turning backend plumbing into your core project.

Two practical details matter a lot for solo builders:

First, pricing clarity. Our plans and overages are listed on the canonical pricing page, and we keep a 10-day free trial with no credit card required so you can validate the architecture before you commit.

Second, scaling knobs that do not require a platform rewrite. If you hit performance limits, we designed our “Engines” feature specifically to let you scale compute in a controlled way. The details are worth understanding before you need them, so we keep a deep explanation in Power up with SashiDo’s Engine feature.

If you are comparing managed backend layers against building everything yourself, it also helps to evaluate lock-in honestly. Some builders start on a managed option like AWS Amplify and later discover the migration cost is mostly in auth rules, data access patterns, and background processing. Being explicit about those pieces early will save you time.

Choosing the right platform: quick match by “what breaks first”

When you are trying to develop web app projects quickly, it helps to choose based on what you expect to break first.

If your main pain is deploying multiple containers cleanly, start with a Docker-native platform like Dokploy or Coolify. If you want the simplest Heroku-like workflow on one server, Dokku is hard to beat. If you want a backend services suite you can self-host, Appwrite is the obvious category fit. If you like serverless patterns and want WASM isolation, Juno is worth evaluating.

Then ask the second-order question. What happens when you need backups, high availability, and predictable scaling?

At that point, the platform choice starts to look less like a feature list and more like an operational philosophy. You can self-manage everything, but you should go in with eyes open.

If uptime starts to matter, it helps to learn the standard patterns (redundancy, self-healing, zero-downtime deploys). We wrote a practical breakdown of what “high availability” actually means in day-to-day operations in Don’t let your apps down. Enable high availability, because most teams only discover the need during the first real outage.

Conclusion: ship faster, but keep the parts you can actually maintain

If your goal is to build web apps that people can depend on, the best self-hosted platform is the one that keeps you shipping and keeps your operational load within reason.

A deploy layer like Dokploy, Coolify, Dokku, Appwrite, or Juno can absolutely get you to “it runs on the internet.” The difference between a demo and a product is what happens next: data durability, auth hardening, storage performance, background work, realtime state, and the boring reliability habits that compound over time.

If you want to move from prototype to production without hiring DevOps, consider using a self-hosted deploy layer for your app and then explore SashiDo - Backend for Modern Builders as the backend layer. You can start with a 10-day free trial and, when you are ready to estimate real costs, verify everything on our up-to-date pricing page.

FAQs

What is the difference between a self-hosted PaaS and a self-hosted BaaS?

A self-hosted PaaS mainly standardizes deployment, routing, and app lifecycle. A self-hosted BaaS adds higher-level backend services like auth, storage, and APIs. Many teams use both: PaaS for deploys, BaaS for backend features.

Do these platforms remove the need for DevOps?

They reduce the amount of manual work, but they do not eliminate responsibility for updates, backups, and incident response. The main win is making those tasks more consistent and less bespoke.

Which option is best for a simple web based application demo?

If you want a quick demo, pick the platform that matches your packaging model. Container-first apps pair well with Dokploy or Coolify. A single-service app can be very fast on Dokku.

How do I avoid surprise costs as usage grows?

Start by measuring the few drivers that usually dominate cost: requests, storage, bandwidth, and background work. Choose tools that make those drivers visible and that let you scale deliberately rather than automatically.

Where does SashiDo fit if I already self-host deployments?

If you already handle deploys on your own server, SashiDo - Backend for Modern Builders can act as the backend layer so you do not have to assemble auth, APIs, storage, realtime, jobs, and push from scratch.

Sources and further reading

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