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distributed systems
60 shorts across 1 course, in learning order
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Results · 8 for “Stream processing fundamentals”
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⚡ One HLD concept. 60 seconds. Interview ready
Understanding Apache Kafka for Scalable Event Streaming
Apache Kafka is a system for managing large volumes of events efficiently.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Consumer Concurrency: Understanding Partitions and Threads
Kafka's parallel processing depends on partitions, not just consumers or threads.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Backpressure Strategies: Handling Traffic Spikes
Backpressure helps manage message flow in Kafka during traffic spikes.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Exactly-Once Processing: Avoiding Duplicates
Kafka can help ensure messages are processed once, but requires careful design.
⚡ 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
Distributed Backpressure: Managing Service Overload
Distributed backpressure helps manage the flow of work between services to prevent overload.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Lamport Timestamps in Distributed Systems
Lamport Timestamps help order events in distributed systems while preserving causality.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Replication and ISR: Ensuring Data Availability
Kafka uses replication and in-sync replicas to ensure data is always available.
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Not tagged “distributed systems”, but closely connected
