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Linux Extract API

Run a narrow worker with explicit filesystem, network, and resource boundaries.

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A focused use case

Process authorized files in a staging directory and publish validated JSON records to a destination with an auditable job lifecycle.

A practical workflow

Use a dedicated execution identity, controlled input and output paths, resource limits, and safe logging. Test interrupted jobs and cleanup instead of assuming a running process means a healthy pipeline.

An example record contract

These fields illustrate the decisions to make before implementation. Adapt the names and required values to the receiving system; the table is not a promise of a live endpoint or a provider-specific response.

Example fieldMeaning in this contract
job_idWorker task identity
input_pathApproved staged input
extractor_revisionTested parser revision
outcomeCompleted or explicit failure

Limits worth keeping visible

A container or Linux process is not secure by default. Limit privileges and verify host access, network reachability, and resource controls for the chosen runtime.

Before increasing the workload

Run a small, authorized test set through the whole path, including the receiving application. Keep accepted, rejected, and incomplete outcomes distinguishable. A result should retain the context needed to explain its meaning after it leaves the extractor.

Continue with Self-Host Extract API: Build an Operating Model for the full implementation discussion, and use the sample contract documentation to review the shape of a handoff.

Primary reference
Docker · Container resource constraints ↗

Consult the source documentation for implementation details and current access conditions. The workflow above is an editorial planning pattern.

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