💻 IT & Coding concepts,
clear in 60 seconds.

Fallbacks allow systems to handle failures safely and maintain user experience.

Dynamo-style databases are designed for high availability and fault tolerance in distributed systems.

Cross-region database replication keeps databases synchronized across different geographical locations.

Availability Zones help prevent downtime by isolating failures across multiple locations.

Global failover ensures applications remain available by redirecting traffic from failed regions to functioning ones.

Failover ensures systems remain operational by managing leader changes during failures.

Exponential backoff helps manage retries by increasing wait times to reduce system overload.

Backpressure helps manage message flow in Kafka during traffic spikes.

Dependency failures can disrupt applications, but resilience patterns can help manage them.

Cascading failures occur when one service's failure impacts others, causing widespread issues.

Kafka uses replication and in-sync replicas to ensure data is always available.

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

Late-arriving events can be dropped, updated, or routed based on system needs.

Read-after-write consistency ensures users see their latest updates immediately.

Fail-stop means a system stops and stays down, while fail-recover means it can come back but needs to be ready.

Partial failure means some services fail while others keep running, impacting system reliability.

Graceful degradation allows apps to function partially during service failures.