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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.
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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
Distributed Locks: Preventing Duplicate Work Across Servers
Distributed locks ensure only one server performs a task, avoiding duplication.
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Kafka Exactly-Once Processing: Avoiding Duplicates
Kafka can help ensure messages are processed once, but requires careful design.
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Understanding Distributed Clocks in Systems Design
In distributed systems, timestamps don't always reflect the true order of events.
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Understanding Distributed Tracing in Microservices Architecture
Distributed tracing helps track requests across microservices to find delays.
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Understanding Message Queues in Distributed Systems
Message queues allow services to communicate asynchronously, improving scalability and reliability.