retryinformatie

Retryinformatie is information gathered about retry attempts of an operation that previously failed, often due to transient conditions such as temporary network glitches or momentary unavailability of a service. In software engineering, retryinformatie is used to observe, control, and diagnose automatic retry mechanisms that aim to increase reliability without user intervention.

Typical contents of retryinformatie include: the number of attempted retries, timestamps of each attempt, the error or exception raised, an error code if applicable, the backoff duration before the next attempt, and the planned or actual time of the next attempt. It may also include the maximum number of retries configured, a unique correlation or request identifier, the resource or operation affected, and the outcome of the final attempt (success, failure, or cancelled).

Usage: Retryinformatie is used in logs, monitoring dashboards, and distributed tracing to evaluate the effectiveness of retry policies, diagnose persistent failures, and ensure observability across services. It supports backoff strategies such as fixed, exponential backoff, and jitter to balance latency and retry success probability. It also informs decisions about abandoning retries and triggering compensating actions or fallbacks.

Design considerations include ensuring idempotency of retried operations, avoiding retry storms, respecting deadlines, and balancing user experience with resource consumption. Privacy and security concerns may arise from logging sensitive error details. Storing retryinformatie should align with data retention policies and compliance requirements.

See also: backoff strategy, idempotence, transient fault handling, distributed tracing, logging and monitoring.