Be precise about what stays inside
Self-hosting gives a team responsibility for where and how a system runs. Define the boundary for source files, extracted text, model requests, results, logs, and backups. Include software updates, artifact downloads, monitoring, and any optional external fallback.
A statement that processing is local is not a complete network policy. Identify permitted destinations and who can authorize changes. Keep operational metadata separate from sensitive payloads when their access or retention requirements differ.
Match complexity to operational capability
Identify the roles your architecture needs: request handling, durable run state, storage, dispatch, and workers. Add a model service only where the workflow needs inference. Several roles may share infrastructure initially, but their responsibilities should remain clear.
Choose the simplest deployment that meets the accepted requirements and that the team can maintain. Record the tradeoffs and the conditions that would justify moving to a more complex architecture. A product name is not a replacement for an ownership plan.
Limit access and resource use
Scope each worker to assigned inputs and output destinations. Keep credentials outside source code and broad logs, and test rotation. Bound accepted file sizes, concurrent work, and resource use according to representative measurements.
Track queue age and incomplete items as well as service availability. A healthy process can still miss a business deadline if work waits indefinitely. Define the owner and the next action for unresolved tasks.
Restore the whole processing context
Back up the state and artifacts needed to explain accepted runs, and test restoration in isolation. Recovery may need to reconcile effects already completed in another system. A successful backup job does not prove that the workflow can resume safely.
Version application code, process rules, model artifacts, prompts, and schemas together where they affect results. Read the self-hosted deployment playbook for an operational review, then compare the processing cost framework using maintenance and review effort alongside infrastructure charges.