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⚡ One HLD concept. 60 seconds. Interview ready
Understanding 2-Phase Commit in Distributed Transactions
2-Phase Commit helps maintain data consistency in transactions across multiple databases.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Stateful Stream Processing: How Does It Remember?
Kafka uses state stores to remember previous events in stateful stream processing.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Retention vs Compaction: History or Latest State?
Kafka uses retention to keep historical data and compaction to keep the latest state.
⚡ One HLD concept. 60 seconds. Interview ready
Consistent Hashing: Key to Distributed Systems Scalability
Consistent hashing helps distribute data across servers with minimal movement.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Streams Local State: Fast Processing and Recovery
Kafka Streams uses local state for quick data access and changelogs for recovery.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Physical vs Logical Time in Distributed Systems
Physical time tells when events happen, while logical time tells their order.