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RPO and RTO are key metrics for planning disaster recovery strategies.

Disaster recovery ensures systems can restore services and data after major disruptions.

RPC allows one service to call a function in another service over the network.

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

REST, RPC, and gRPC are different methods for communication in software systems.

OLTP handles transactions while OLAP is for data analysis and reporting.

Raft and Paxos are protocols that help computers agree on values in distributed systems.

Paxos is a protocol that helps distributed systems agree on one value despite failures.

Disaster Recovery Testing verifies that your recovery plan works effectively in real situations.

Raft consensus helps distributed systems elect leaders and replicate logs reliably.

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Quorum Reads ensure data consistency by querying multiple replicas in distributed systems.

Eager rebalancing revokes all assignments, while cooperative allows incremental changes.

A single component's failure can take down your entire application, even with redundancy.

Fetch limits control data size from Kafka, while poll records limit processed records.

gRPC supports four communication patterns: Unary, Server Streaming, Client Streaming, and Bidirectional Streaming.

OAuth 2.0 lets apps access user data securely without passwords.

Active-passive architecture ensures a standby system takes over if the main system fails.

Elasticsearch CCR allows real-time data replication for faster disaster recovery.

Quorum-based replication determines how many database replicas must agree for reads and writes.

Choosing between single and multi-region architecture affects system resilience and cost.

Observability helps engineers understand system behavior to debug production issues effectively.

Kafka Partition Reassignment moves replicas between brokers while keeping data safe.

gRPC allows efficient communication between services using a structured request-response model.

matchIndex tracks what each follower has, while commitIndex shows what is committed.

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

Raft's safety rules guarantee that committed entries are preserved even after leader failures.

Log replication ensures data consistency by requiring majority acknowledgment before committing changes.

Token expiration and refresh token rotation secure user sessions by limiting token lifespan and preventing unauthorized access.

Replicas keep your system available, while snapshots allow for data recovery.

Kafka uses brokers for data handling and KRaft controllers for metadata management.