Any concept.
clear in 60 seconds.

Watermarks help stream processing systems manage event time and late events.

Vector clocks help track the order and concurrency of events in distributed systems.

Late-arriving events can be dropped, updated, or routed based on system needs.

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Request-Response asks for a result, while Events notify that something has happened.

Time-series databases are designed to store and query time-stamped metrics efficiently.

Time-based partitioning organizes time-series data into smaller, efficient segments for better querying.

Event Sourcing stores every action as an event to recreate the current state.

Tumbling windows are non-overlapping time segments, while hopping windows can overlap.

Stream Processing Architecture helps turn incoming events into real-time insights efficiently.

RPO and RTO are key metrics for planning disaster recovery strategies.

Elasticsearch offers Data Streams for simplicity and Time-Based Indices for control in managing time-series data.