Knopki

The client is where the FHIR bulk-export progress conversation actually lives. The server publishes a poll endpoint and, sometimes, a progress hint header. Everything else is client-side inference. Every bulk-data pipeline that survives at...

A single bulk export that takes twelve hours is a scheduling problem. Four exports of three hours each is a scheduling opportunity. Chunking a large export into smaller jobs is the pattern that turns unmanageable exports into a rhythm the...

The FHIR Bulk Data spec finishes at the manifest URL. Everything after that is delivery, and every delivery method has its own throughput signature, its own security model, and its own contribution to the end-to-end ETA. Sizing plans that...

Every FHIR client that runs bulk exports at scale eventually has an export that hangs. The polling loop returns the same progress hint hour after hour, the manifest never populates, and the client is left wondering whether to wait or...

The first bulk export a FHIR deployment runs against production is usually the moment somebody discovers that exports and interactive traffic do not play well on the same server. The export finishes; the clinicians report that the app was...

Bulk export duration variance across FHIR deployments is enormous. The same one-million-Patient export can take twenty minutes on one server and eight hours on another. Four factors account for almost all of the variance, and knowing the...

The FHIR Bulk Data spec is careful about a lot of things. It defines the kickoff request, the status-polling loop, the manifest format, the delivery URLs, and the cleanup step. The one thing it deliberately does not define is a duration...

The single question every FHIR bulk-data client eventually asks is how long the export will take. The spec answer is "poll until it is done." That is technically correct and operationally useless. Every team that runs bulk exports at scale...