Project Name
How Ksolves' Big Data Experts Simplified Kafka-to-Redpanda Migration
Our client belongs to the healthcare industry whose main aim is to transition from Kafka to RedPanda as their data streaming tool within the Big Data ecosystem. They work on reducing the complexity and lowering the costs compared to their current managed Kafka solution. To work on this transition, they need a real-time data migration from Kafka to RedPanda. The main aim of this project is to simplify the infrastructure, improve performance, and optimize data processing.
- Data Migration Challenges: Migrating data from Kafka to RedPanda requires meticulous planning to address complexities related to data replication, offsets, and state management.
- Compatibility Issues: Ensuring full compatibility between Kafka and RedPanda during migration poses a significant challenge, requiring strategic solutions to maintain seamless functionality.
The Ksolves team provided a comprehensive solution to the client that includes the mentioned steps:
- Validation and Monitoring: To ensure successful data replication, a corresponding topic was created in RedPanda. The status of the connectors was continuously monitored using Prometheus and Grafana, providing real-time insights. Data consistency was validated by comparing records in both Kafka and RedPanda.
- Data Replication with MirrorMaker 2.0: MirrorMaker 2.0 (MM2) was chosen for seamless data replication between Kafka and RedPanda clusters, leveraging the Kafka Connect framework. The MirrorSourceConnector was set up for offset translation and exactly-once delivery, the MirrorCheckpointConnector managed checkpoints, and the MirrorHeartbeatConnector ensured continuous replication with latency measurements.
- Error Handling: The migration strategy incorporated automatic failover to minimize downtime and prevent data loss. Error logging captured anomalies, while failed messages were monitored, stored, and later retried to ensure complete data transfer.
Ksolves Salesforce Health Cloud Implementation transforms the client’s clinical and medical industry operations by overcoming the challenges of handling extensive records. Moreover, by integrating advanced technologies like PDFTron, Twilio, and Five9, and utilizing Salesforce’s powerful data models, we helped the client to achieve real-time patient management, seamless care coordination, and enhanced decision-making process.
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