Enhancing Data Reliability and Performance with a Strategic Migration of Centralized Policies from Cassandra to MySQL

At BayRock Labs, we understand the importance of maintaining secure and efficient operations through a centralized policy store. Our client faced challenges with performance, data consistency, and maintenance while using Cassandra. By migrating their policy store to MySQL with our strategic support and custom tools, they saw remarkable gains in performance, data integrity, and overall operational efficiency. Here's how we made it happen.

Product Engineering
Enhancing Data Reliability and Performance with a Strategic Migration of Centralized Policies from Cassandra to MySQL
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Value We Added

Service Refactoring & Abstraction

Decoupled the service layer from the database using custom drivers and an abstraction layer to support both Cassandra and MySQL.

Data Migration & Dual Write

Implemented a robust ETL process and a dual-write mechanism to ensure seamless data transfer and minimal downtime.

API Modernization

Refactored legacy APIs to remove Cassandra dependencies and align with the new MySQL architecture.

Challenges

Performance Bottlenecks

The client's centralized policy store, using Cassandra, suffered from performance bottlenecks due to increasing data volume

Manual Reconciliation Overhead

Data inconsistencies and maintenance overhead were significant, with most requiring manual reconciliation.

Limited Query Capabilities

The lack of relational capabilities in Cassandra hindered efficient data querying, impacting performance.
Enhancing Data Reliability and Performance with a Strategic Migration of Centralized Policies from Cassandra to MySQL
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Approach

Database-Agnostic Architecture

Refactored the service layer and implemented a flexible abstraction to decouple business logic from database dependencies.

Seamless Data Migration:

Developed a robust ETL process and dual-write strategy to transfer data from Cassandra to MySQL with zero downtime and full integrity.

API Modernization & Optimization

Upgraded legacy APIs to align with the new MySQL architecture, eliminating Cassandra dependencies and improving performance.

Outcome

Improved Performance & Reliability

Achieved 25% faster query performance and reduced data inconsistencies by 30%.

Operational Efficiency

Lowered maintenance overhead by 20% through streamlined architecture and modernized APIs.

Seamless Migration

Completed the migration with zero downtime, ensuring uninterrupted service and full data integrity.

Conclusion

By strategically migrating the centralized policy store from Cassandra to MySQL, the client achieved a significant transformation in data management and system performance. The implementation of a database-independent service layer, coupled with custom drivers and a robust ETL process, ensured a smooth migration with minimal disruption. This successful transition not only addressed the limitations of Cassandra but also positioned the organization for future scalability and flexibility, ultimately enhancing overall operational efficiency and data reliability.