You have something you want to put on the internet. A useful little tool. An API. The first version of a product you cannot stop thinking about.
The next step should feel like progress on that idea.
That is the starting point for Hakopod: help you get an application running, understand what it needs, and give it more room when the time comes. You should be able to start small without making every infrastructure decision on day one.
A click should start something useful
Pick a template or connect your Git repository. Give the application its variables and secrets, choose its resources, review the configuration, and deploy.
Templates provide a starting point you can edit. They cannot know your database password, your domain, or how much memory your code needs. Hakopod keeps those decisions visible and puts them in the same workflow.
The aim is simple: less hunting through disconnected tools between having an idea and opening its URL.
Growth can be a small decision, too
An application rarely needs everything to grow at once. A worker may need more memory while the website is doing fine. A busy HTTP service may need more replicas while its private dependencies stay the same.
Hakopod gives services their own resource settings. On eligible compute, you can change CPU and memory, choose replica counts, or configure CPU-based autoscaling. Readiness, deployment progress and logs stay close to the change you just made.
Those controls use real capacity. They do not conjure up another server. Hosted Free has a small, single-service allocation; larger workloads need suitable BYO compute or a self-hosted installation. Persistent application services also have different replication limits from stateless ones.
The useful promise is that you can see the decision and its limits before making it.
Keep the part you care about
Some people want a hosted dashboard. Some want to operate the whole platform themselves. Some want the convenience of Cloud while keeping application compute on their own server.
Hakopod has an open-source platform and a Cloud service because those are reasonable choices to make differently. Your application’s configuration should remain understandable whichever route you choose.
That philosophy also shapes recovery: keep the original available, inspect the recovered copy, and make the connection change deliberately. See how that works for PostgreSQL and Redis, including the current availability and capacity requirements.
Start with one thing you want to ship
You do not need a grand migration to find out whether Hakopod fits. Start with a small, non-critical application. Deploy it, look at its logs, change a resource limit, and see whether the workflow makes sense to you.
Create your Hakopod Cloud account, or explore the templates for a starting point. Cloud is in development, signup is open, and compute availability depends on your workspace. Paid checkout is not open yet.
Build the useful thing. Let the next infrastructure decision arrive when you need it.