[ Ссылка ] | By replicating data storage across multiple servers or data stores across physically distributed data centers, geo-replication provides maximum availability and disaster tolerance. With Apache Kafka® as the backbone of critical data infrastructure around the world, it's crucial that Kafka can not only prevent failures but maintain ultra low-latency for real-time data streaming across any region, on any cloud.

Jun Rao (Kafka Committer, PMC Member, VP of Kafka, and Co-Founder, Confluent) highlights the various features that enable high-availability and multi-region Kafka deployments, such as Kafka MirrorMaker2, Confluent Replicator, and Cluster Linking. We'll examine what options are available to reduce any possibility of major data center or cloud provider outages. With geo-replication, high availability and disaster recovery requirements are addressed. It also ensures data is where it needs to be and that geo-replication solves both data-location-based requirements as well as data safety requirements.

Use the promo code INTERNALS101 to get $25 of free Confluent Cloud usage: [ Ссылка ]

Promo code details: [ Ссылка ]

LEARN MORE
► Introducing Cluster Linking in Confluent Platform 6.0: [ Ссылка ]
► Cloud-Native Apache Kafka: [ Ссылка ]

ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.

#streamprocessing #apachekafka #kafka #confluent

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