Project Name
Implementing a Disaster Recovery Cluster in Apache Cassandra
Overview
Our client stands as a prominent software development company in India, entrusted with managing critical government projects. In response to their customer’s demands, there is a pressing need to establish a disaster recovery passive data center within their Cassandra cluster. This initiative not only addresses the specific requirements of the project but also harnesses the potential of its multiple data centers to cater to varying needs and objectives.
Challenges
- The client requires a two-datacenter Cassandra cluster management setup, with one datacenter designated as "active" to handle application requests, and the other as "passive" for disaster recovery purposes, located in a separate physical location. The customer refers to the active data center as "DC" and the passive one as "DR."
- They aim to maintain constant synchronization between the primary data center (DC) and the disaster recovery (DR) site. However, the primary data center is responsible for serving requests, while the disaster recovery site is intended for use exclusively in the event of a disaster due to its distinct physical location.
Our Solution
On behalf of the challenges that the client is facing, our experts developed a solution for them:
- We assisted in configuring the primary data center (DC) and disaster recovery (DR) according to their specific needs.
- Continuous synchronization is maintained between the DC and DR, ensuring data consistency.
- The application is configured to exclusively perform read and write operations on the primary DC, with automatic synchronization occurring seamlessly in the DR site.
- Our solution caters to the client's requirement for a robust and synchronized DC-DR setup, providing peace of mind in case of unexpected events or disasters.
Data Flow Diagram
Conclusion
In conclusion, our solution harnessed the power of Cassandra to establish a multi-data center (DC) configuration, offering several valuable advantages to our client. Firstly, Cassandra simplifies the setup of multi-data center clusters, making it an efficient process. Secondly, the automatic Cassandra data replication features inherent to Cassandra ensure data consistency across all connected data centers. Moreover, Cassandra’s flexibility allows us to tailor data replication settings to meet specific requirements, offering options for real-time or near-real-time replication based on the chosen data consistency level. Lastly, Cassandra’s client drivers provide clients with the freedom to select their preferred data center for connectivity, and they can also leverage multiple data centers for load balancing with Cassandra when necessary.
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