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Dependable feed delivery starts with patient consumers. Handle unchanged content, partial failures, and retries without overwhelming either the source or your own queue.
Give the important decisions a name before choosing an implementation.
Keep a source’s validators with its last successful representation. Treat an unchanged response as a normal outcome rather than an empty feed. The delivery guide explains the relevant HTTP semantics and how to test them. Your consumer should distinguish a successful check, usable new content, and a parsing failure.
Give each source a bounded retry schedule and keep it separate from global concurrency controls. A transient failure, a configuration problem, and invalid content deserve different handling. Decide when the system should stop retrying automatically and ask for review. Recovery should not create a burst of requests that overwhelms a delayed source.
Expose the clocks that your operators and readers actually need. The last successful request, last accepted content change, and source publication time are different signals. Keep a durable checkpoint for completed work, not merely downloaded bytes. Test a restart between persistence and checkpoint advancement to make repeated processing predictable.
Use a local test source that can return new content, unchanged content, and a temporary failure. Verify that your worker keeps the last useful records while reporting each outcome accurately. Stop it after persistence but before checkpoint completion, then resume. A dependable first version handles that interruption without losing work or producing an unexpected second effect.
Build a polite polling strategy around conditional HTTP requests, source-level backoff, durable checkpoints, and honest freshness signals.
A project to think about: A polling worker that keeps its last useful data while clearly reporting a delayed source.
Open the complete guideExplore adjacent topics, then return to your own project with a clearer plan.