A small application can turn into a collection of chores before it has many users. You need somewhere to run the web process, a way to deploy changes without replacing a healthy release too early, and a private route to the database. You may also need a worker that stays running rather than a short-lived function. Inquir Compute is aimed at putting those parts under one project instead of leaving each service to be wired up separately.
Containers are the centre of the product
Inquir Compute is a cloud platform for deploying applications from a Dockerfile or an existing container image. Its stated scope includes websites, APIs, background workers and databases. The point is not just to start a container: the platform wraps it in a release process, service settings, logs and connections to other services. The developer describes access through a web console, CLI and API.
The workflow shown starts with a Dockerfile or image, then asks you to set the service's port and health check. A deployment builds the image on the platform if you supplied a Dockerfile, starts a new release and waits for the health check. The new version gets a preview URL. You can then promote it to production, leaving the previous release available for rollback. That sequence is useful for a developer who wants a visible step between “it built” and “send production traffic here.”
This is a fit for container applications, not a way to avoid packaging your application. You need to bring a Dockerfile or an image and know which port the service listens on. You also need a health check that reflects whether it is ready. Those are ordinary deployment concerns, but they remain your concerns; the platform is providing the runtime and release machinery around them.
Services can share a private network
The more distinctive promise is that the app and its dependencies can live in the same project and communicate privately. The page walks through adding a PostgreSQL service from a template, then making its connection available to an API through a service variable. The database and API remain private, while a public domain can be added separately for the service that needs outside traffic.
That model can reduce the amount of network setup a developer has to manage for a straightforward app and database. The platform also describes support for Redis and raw TCP connections between private services. It presents replicas as a setting on an individual service: an API can have more than one running container while its database stays at one. CPU and memory limits are configured per replica, according to the product's description.
There is an important boundary: public TCP ports are not available. If a service must accept arbitrary TCP connections from outside the platform, this is not a match as described. Private TCP access between services is not the same thing as a public endpoint. Teams should also pay attention to the storage model for stateful services and keep their own backup if the product's stated volume conditions call for it.
More than long-running services
Inquir also groups functions and pipelines with its container platform. Functions are described as code that runs in response to HTTP requests, webhooks or pipeline steps, with Node.js, Python and Go named as supported languages. Pipelines can schedule function calls or join them into multi-step workflows, with branches and retries. That gives the product a place for webhook handlers and scheduled tasks without requiring every bit of work to become a permanently running container.
The distinction matters. A long-running API or worker belongs in the container part of the product; a request handler or scheduled workflow may fit its functions and pipelines. The supplied material does not establish that these pieces replace every specialised queue, database or job system. It describes a set of deployment options gathered around one project, not a guarantee that each application can be moved without adapting its architecture.
For operations, the product describes container logs alongside deployment events, release history, rollback, persistent volumes, custom domains with TLS, and health checks. It also says releases can be managed from the console or CLI, with an HTTP API available for the same kind of control. These details make the platform more than a bare container runner, although they do not remove the need to inspect logs, define readiness correctly or plan for persistent data.
A useful fit, with clear boundaries
Inquir Compute has a free plan with a paid upgrade. The developer says free access is granted on request and depends on available capacity, so teams should not assume that free access is automatically available to every new project.
For developers who already package their software as containers and want apps, workers and a nearby database managed through one deployment workflow, Inquir Compute addresses a concrete tangle of hosting and release tasks. It is less suitable for someone who wants a platform to take an uncontainerised application and make the deployment decisions for them, or who needs a public TCP service. The useful question is whether its container-and-private-network model matches the shape of your system, not whether it can host every kind of backend.
Cloud platform for apps APIs workers and databases