Zeabur

Tool snapshot
Best fitCoding · Image Generation · Automation
In one lineZeabur deploys application services and templates, with an AI DevOps agent, domain tools and plan-dependent server management.

Zeabur is an application-deployment platform with an AI DevOps agent. Its official documentation describes deploying frontend services, backends, databases, message queues and object storage in one project. Developers can use it to manage a deployment environment rather than treating code generation as the final step of shipping an application.

Deploy a project or a prepared template

The documentation lists project-type recognition, CI/CD, generated domains and separate environments. The homepage presents an agent that inspects code to detect its language and framework, then deploys a local project or a template to a server.

The template catalogue is another starting point for existing applications. A ready-made template still needs inspection of its configuration, secrets and post-deployment instructions before it is suitable for your own workload. The publisher's contribution programme explicitly requires authors to document extra setup steps; one-click packaging does not remove those responsibilities.

Zeabur also describes server selection by region and provider, domain and DNS tools, and an email service. Check the deployment resources and destination for the particular project you are moving, rather than assuming that a successful template launch establishes every operational requirement.

Use agent actions with a clear infrastructure scope

Zeabur Skills turn natural-language requests into infrastructure actions such as renting servers, deploying services and configuring email. The homepage says email setup can configure SMTP credentials. These are actions on real infrastructure, so review the requested resources and configuration before relying on an agent's deployment.

The pricing comparison distinguishes the CI build-machine specification from service runtime resources. Faster or larger build hardware does not establish the CPU or memory available to the running application. Runtime resources depend on the selected server or service arrangement.

For an evaluation, deploy a low-risk project and verify its environment variables, logs, domain and restart behavior. Those checks are suggested operator work, not evidence that this directory deployed or tested an application through Zeabur.

Budget for plans, servers and usage

The pricing page lists Free, Dev, Pro and Team plans with different managed-server counts, log retention and agent allowances. A free dashboard plan should not be interpreted as free hosted compute or unlimited advanced-model use.

The documentation says the total bill depends on the subscription plan, servers and any usage-billed services. It also states that existing shared-cluster users continue resource-based billing. Confirm which arrangement applies to your account before projecting costs from a plan card alone.

Watch Zeabur in action

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