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Results · 10 for “Error Handling in Microservices”
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⚡ One HLD concept. 60 seconds. Interview ready
HLD: Crash Failures vs Network Failures in Distributed Systems
Crash failures stop a service, while network failures disrupt communication.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Poison Messages: Risks of Infinite Retries
Poison messages in Kafka can cause infinite retries, risking system stability.
⚡ 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 RPC: Remote Procedure Calls in Distributed Systems
RPC allows one service to call a function in another service over the network.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding gRPC Architecture: Behind the Call
gRPC allows efficient communication between services using a structured request-response model.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Commit Strategies: Auto vs Manual Commit Explained
Kafka commit strategies determine how offsets are managed during message processing.
⚡ 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
Understanding Kafka Dead Letter Topics and Poison Messages
Kafka uses Dead Letter Topics to handle messages that repeatedly fail processing.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka commitSync vs commitAsync: Choosing the Right Method
Kafka's commitSync waits for confirmation, while commitAsync continues immediately.
⚡ 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.