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distributed systems
21 shorts across 1 course, in learning order
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Results · 10 for “Basic understanding of messaging systems”
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⚡ One HLD concept. 60 seconds. Interview ready
Message Delivery Semantics: At-Most-Once vs At-Least-Once vs Exactly-Once
Message delivery semantics define how messages are sent in distributed systems and handle failures.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Network Partitions in Distributed Systems
Network partitions occur when servers are operational but can't communicate, affecting system performance.
⚡ One HLD concept. 60 seconds. Interview ready
Paxos Consensus: Understanding Distributed Agreement
Paxos is a protocol that helps distributed systems agree on one value despite failures.
⚡ 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
Understanding Causality in Distributed Systems
Causality in distributed systems helps understand how events influence each other, beyond just timestamps.
⚡ 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
Log Replication and Majority Commit in Distributed Systems
Log replication ensures data consistency by requiring majority acknowledgment before committing changes.
⚡ 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.
⚡ One HLD concept. 60 seconds. Interview ready
FAANG HLD 🔥 | Raft vs Paxos — What's the Difference? Consensus Explained! ⚡
Raft and Paxos are protocols that help computers agree on values in distributed systems.
⚡ One HLD concept. 60 seconds. Interview ready
Leader Election Algorithms: Bully vs Raft vs ZooKeeper
Bully, Raft, and ZooKeeper are distinct algorithms for leader election in distributed systems.
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Not tagged “distributed systems”, but closely connected
