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Results · 13 for “Understanding of RTO and RPO”
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⚡ 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
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
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 Raft Consensus: Terms, Elections & Log Replication
Raft consensus helps distributed systems elect leaders and replicate logs reliably.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Eager vs Cooperative Rebalancing: Key Differences
Eager rebalancing revokes all assignments, while cooperative allows incremental changes.
⚡ 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
Quorum-Based Replication: How Many Replicas Must Agree?
Quorum-based replication determines how many database replicas must agree for reads and writes.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Partition Reassignment: Move Replicas Without Data Loss
Kafka Partition Reassignment moves replicas between brokers while keeping data safe.
⚡ 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 Raft Log Replication: matchIndex vs commitIndex
matchIndex tracks what each follower has, while commitIndex shows what is committed.
⚡ One HLD concept. 60 seconds. Interview ready
FAANG HLD 🔥 | Raft Safety — Why Committed Entries Survive Leader Failure! 🛡️
Raft's safety rules guarantee that committed entries are preserved even after leader failures.
⚡ 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 Kafka Brokers, Controllers, and KRaft Architecture
Kafka uses brokers for data handling and KRaft controllers for metadata management.