An algorithm that handles temporary API outages or rate limits by retrying failed event submissions with exponentially increasing delay intervals.

A critical property of API endpoints ensuring that receiving duplicate event requests with the same parameters produces the exact same result without creating duplicate records.

The trade-off between the time taken for a single event to travel from source to destination (Latency) and the total volume of event payloads a system can process per second (Throughput).

The practice of tracking real-time metrics, error rates (HTTP 4xx/5xx), latency spikes, and system health across every stage of a data pipeline.

An automated resilience pattern designed to resend failed HTTP requests or API calls under specific transient failure conditions (e.g., network timeouts or 503 errors).

The practice of enforcing strict data structures on incoming event payloads and managing changes to event schemas over time without breaking downstream systems.