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Topic
system design
15 shorts across 1 course, in learning order
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Results · 6 for “Stream processing concepts”
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⚡ 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
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
Kafka Fetch Limits vs Poll Records: Understanding the Difference
Fetch limits control data size from Kafka, while poll records limit processed records.
⚡ 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
Understanding Kafka Consumer Lag and Its Impact
Kafka consumer lag shows how far behind consumers are from new messages.
⚡ 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.
🧠Related by meaning
Not tagged “system design”, but closely connected
