Cross-Cluster Replication (CCR)
Cross-cluster replication (CCR) enhances resilience by synchronizing indices from a primary cluster to a secondary remote cluster. This setup provides a hot backup, ready to take over if the primary cluster fails. Additionally, CCR allows for the creation of secondary clusters closer to users to serve read requests more efficiently. This active-passive replication model ensures that while the primary cluster handles writes, the secondary clusters are optimized for read operations, enhancing both availability and performance.
Scalability and Resilience: Clusters, Nodes, and Shards
In today’s data-driven world, having efficient and reliable systems for storing and retrieving data is crucial. Elasticsearch excels as a powerful search and analytics engine built for scalability and resilience.
This article explores how Elasticsearch achieves these key capabilities through its distributed architecture, node and shard management, and robust cluster management features. By understanding these elements, organizations can effectively use Elasticsearch to manage increasing data volumes and ensure continuous availability.