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distributed systems
73 shorts across 1 course, in learning order
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Results · 23 for “Disaster recovery principles”
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⚡ 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
HLD: Managing Dependency Failures in Distributed Systems
Dependency failures can disrupt applications, but resilience patterns can help manage them.

⚡ One HLD concept. 60 seconds. Interview ready
Global Failover: What Happens When an Entire Region Goes Down?
Global failover ensures applications remain available by redirecting traffic from failed regions to functioning ones.

⚡ One HLD concept. 60 seconds. Interview ready
Dynamo-Style Databases: High-Level Design Overview
Dynamo-style databases are designed for high availability and fault tolerance in distributed systems.

⚡ One HLD concept. 60 seconds. Interview ready
Graceful Degradation in System Design
Graceful degradation allows apps to function partially during service failures.

⚡ One HLD concept. 60 seconds. Interview ready
HLD: Fallbacks Explained for System Design
Fallbacks allow systems to handle failures safely and maintain user experience.

⚡ One HLD concept. 60 seconds. Interview ready
Cascading Failures in Distributed Systems Explained
Cascading failures occur when one service's failure impacts others, causing widespread issues.

⚡ One HLD concept. 60 seconds. Interview ready
Understanding Partial Failure in Distributed Systems
Partial failure means some services fail while others keep running, impacting system reliability.

⚡ One HLD concept. 60 seconds. Interview ready
Understanding CAP Theorem: Trade-offs in Distributed Systems
The CAP Theorem explains the trade-offs in distributed systems during network failures.

⚡ One HLD concept. 60 seconds. Interview ready
Failover and Split-Brain in High-Level Design
Failover ensures systems remain operational by managing leader changes during failures.

⚡ One HLD concept. 60 seconds. Interview ready
Understanding Availability Zones in High-Level Design
Availability Zones help prevent downtime by isolating failures across multiple locations.

⚡ 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
Cross-Region Database Replication: Keeping Databases in Sync
Cross-region database replication keeps databases synchronized across different geographical locations.

⚡ 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
HLD: Understanding Server Failure Detection and Timeouts
Timeouts in distributed systems indicate suspicion, not confirmed failure.

⚡ One HLD concept. 60 seconds. Interview ready
Understanding Retry Storms in Distributed Systems
Retry storms occur when too many retries overload a failing service.

⚡ 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
HLD: Circuit Breaker Explained to Prevent Failures
A Circuit Breaker helps prevent system failures by stopping calls to unhealthy services.

⚡ One HLD concept. 60 seconds. Interview ready
HLD: Late-Arriving Events - Drop, Update, or Replay?
Late-arriving events can be dropped, updated, or routed based on system needs.

⚡ 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
Load Shedding in Distributed Systems: Protecting Capacity
Load shedding helps systems reject excess requests to maintain performance during high demand.

⚡ 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.

⚡ 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.
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