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⚡ One HLD concept. 60 seconds. Interview ready
FAANG HLD 🔥 | Kafka Backpressure Explained — What Happens When Consumers Can't Keep Up? 🚨
Backpressure prevents system overload by managing message processing rates in Kafka.
⚡ One HLD concept. 60 seconds. Interview ready
HLD: Fail-Stop vs Fail-Recover Explained
Fail-stop means a system stops and stays down, while fail-recover means it can come back but needs to be ready.
⚡ 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.
⚡ One HLD concept. 60 seconds. Interview ready
Log Replication and Majority Commit in Distributed Systems
Log replication ensures data consistency by requiring majority acknowledgment before committing changes.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Consumer Offsets: Auto Commit vs Manual Commit
Kafka consumer offsets help track message processing to avoid loss and duplication.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Consumer Pause & Resume: Managing Backpressure Smartly
Kafka consumers can pause and resume message processing to handle backpressure effectively.
⚡ One HLD concept. 60 seconds. Interview ready
Elasticsearch Split Brain: Master Election and Quorum Explained
Elasticsearch uses master election and quorum to prevent split brain scenarios.