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⚡ One HLD concept. 60 seconds. Interview ready
Transactional Outbox Pattern: Never Lose Events!
The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Schema Evolution: Changing Schemas Without Breaking Consumers
Kafka Schema Evolution allows safe changes to message structures without breaking existing consumers.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Consumer Reprocessing: Safe Event Replay Strategies
Kafka consumer reprocessing involves safely replaying events to correct system states.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding the Saga Pattern in Distributed Transactions
The Saga Pattern manages distributed transactions using local transactions and compensating actions.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Replay Without Breaking Production: Safe Architecture
You can replay Kafka events safely by separating live and replay processes.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Apache Kafka for Scalable Event Streaming
Apache Kafka is a system for managing large volumes of events efficiently.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Elasticsearch Snapshots: Replicas vs Backups
Replicas keep your system available, while snapshots allow for data recovery.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Async Commit Ordering: Can Older Offsets Overwrite Newer Ones?
Older offsets can overwrite newer ones in Kafka if not handled properly.