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Inquir Compute describes deployment as packaging handler code with metadata, connecting it to an HTTP route or pipeline trigger, configuring secrets, and provisioning it in a workspace. You can write a function yourself or start with a Marketplace template; afterward, the product provides execution history, logs, and timing for reviewing invocations. The vendor says workers run in isolated Docker containers and users do not need to manage Kubernetes manifests for each function. These are product-documentation claims, not independently tested findings.
What gets deployed in Inquir Compute?
The deployment guide frames the unit as function code plus metadata, rather than a separate Kubernetes manifest for each endpoint. A function can be connected to an inbound gateway route or to a pipeline trigger, with secrets bound through the product rather than kept in Git. The vendor describes workers as running in isolated Docker containers. Its statement that deployment works “without Kubernetes” refers to the user-facing workflow: the guide says users do not have to manage Kubernetes manifests, but does not establish whether Kubernetes is used underneath.
Inquir Compute’s deployment guide describes gateway authentication and path rules for inbound HTTP. For a small JavaScript illustration, it reads event.path or event.rawPath and returns a JSON response with status code 200. That example demonstrates the event fields shown on the page; it is not evidence of performance or broad runtime compatibility.
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How to deploy a function you write
- Author the handler. Start from an HTTP-handler or background-worker template, then adapt the code. The guide describes the function as code paired with deployment metadata.
- Configure its connections. Link the function to a gateway route or pipeline trigger, and bind any required secrets in the product rather than committing them to Git. For HTTP traffic, configure the relevant gateway authentication and path rules.
- Provision and inspect. Use the product’s deployment workflow to provision the function in a workspace. Then review execution history, logs, and timing to inspect invocations.
The guide does not specify execution-history retention, service-level guarantees, or the exact behavior for retries and rollback. Do not assume those operational details from the presence of logs or timing.
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How Marketplace template deployment differs
A Marketplace template adds a guided setup and can provision different combinations of resources: a single function, a stack of functions and routes, or a bundle that includes functions and scheduled or event-driven pipelines. Listings are intended to summarize resources and required secrets before provisioning.
- Authenticate and choose a workspace.
- Enter the required secrets, then validate the configuration.
- Run provisioning.
- Inspect the created functions, gateway routes, and scheduled pipelines in the IDE or Executions.
- Edit and redeploy provisioned assets as you would other workspace functions.
The Marketplace documentation associates its official templates with Node.js 22, Python 3.12, and Go 1.22 conventions. Those are version references on that page, updated June 28, 2026—not a complete statement of every supported runtime or platform limit. Check current product documentation for the runtime relevant to your deployment.
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The catalog is described as curated and admin-only, with public self-publishing unavailable at the time the page was updated. Templates do not remove the need to document environment-specific values, data flows, and operational runbooks.
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The vendor positions the workflow for workloads that fit stateless handlers with explicit inputs and outputs, including HTTP routes, scheduled jobs, and asynchronous background work. It may suit teams that want a structured function-deployment interface without taking on management of cluster manifests for each function.
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Teams whose established workflows depend on cluster-wide policy engines or custom resource definitions may prefer their existing cluster interface. The practical decision is whether function routes and triggers fit the workload and how much infrastructure control the team needs. The reviewed product pages do not provide a neutral comparison of deployment speed, reliability, or cost against other providers.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the public deployment information does not establish
- Whether Kubernetes is absent from the underlying infrastructure; the documented claim is that users need not manage manifests for each function.
- Invocation-history retention, formal service-level guarantees, or exact retry and rollback mechanics.
- An independently verified security audit or quantified deployment benchmark.
For more detail on the vendor’s stated workflow, see the deployment guide and its Compute Marketplace documentation, both updated June 28, 2026.
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