Multiregion configuration
Multiregion configuration is a deployment arrangement that distributes an application, its components, or its data across multiple geographic or cloud regions.
Kafka for Architects
A multi-region deployment distributes system components across separate geographic cloud or data-center regions.
- How it is used
- Frames geographic distribution as a Kafka deployment choice for resilience during complete data-center outages.
- How deep it goes
- Explains metadata availability and three-data-center implications, but stops short of implementation configuration.
- Examples
- Uses cloud deployments with brokers distributed across regions and clusters spanning at least three data centers.
- What you can do after
- Evaluate regional Kafka layouts against outage resilience, latency, networking cost, consistency, and operational feasibility.
Read how Kafka for Architects explains multiregion configuration →
Microsoft Azure in Action
Multi-region deployment is the distribution of an application or data service across multiple geographic regions.
- How it is used
- Configures Cosmos DB for global access, regional resilience, and lower read latency.
- How deep it goes
- Explains replication, failover, read and write regions, priority settings, zone redundancy, and cost and latency trade-offs.
- Examples
- Uses australiacentral and eastus regions with Azure CLI settings for failoverPriority and isZoneRedundant.
- What you can do after
- Operate/configure a Cosmos DB account with multiple regions, ordered failover, read regions, writes, and zone redundancy.
Read how Microsoft Azure in Action explains multiregion configuration →
Related concepts
- Cosmos DBused by · Azure Cosmos DB is Microsoft's globally distributed, multimodel cloud database service, supporting multiple data models and APIs.
- uptimeconfigured by · Uptime is the duration or proportion of a specified period during which a system or service is operational and available to provide its intended function.
- reliabilityaddresses · Reliability is the ability of a system or process to perform its intended functions consistently and dependably under specified conditions and over time.
- fault toleranceproduces · Fault tolerance is the ability of a system to continue providing correct or acceptable service despite failures in its components or operating environment.
- meancontrasts with · A mean is a measure of central tendency, calculated as the arithmetic average of values or, for a random variable, as the probability-weighted average of its possible values.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.