Optimizing PostgreSQL for High-Volume Insurance Transactions & Secure Backup and Restore Strategies for Databases
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V4I1P112Keywords:
PostgreSQL, Database Optimization, Insurance Transactions, Backup and Restore, Query Tuning, Security, High Availability, PITR, WAL Archiving, Cloud BackupAbstract
Database management systems play a significant role in the insurance sector because in a day, millions of policy transactions, claims, underwriting processes and data regulatory operations are involved. PostgreSQL is an extremely sophisticated open source relational database which has gained current popularity due to the reason that; it is ACID compliant, extendable and cost effective. However, the optimization methods are required to handle large volumetric insurance processes with the objectives of attaining scalability, query performance, transaction integrity and high availability. In addition, backup and restore plans must also be secure to ensure sensitive insurance data are not lost to failure, ransomware, and regulatory non-conformity. The present paper has presented a detailed analysis of PostgreSQL optimization in the high volume insurance workload which includes query tuning, indexing methodology, partitioning, connection pool, caching as well as hardware utilization. It also examines safe approaches of back-up and restore, including the Point-In-Time Recovery (PITR), Write-Ahead Logging (WAL) archiving, logical and physical back-ups, encryption, and cloud-native back-up approaches. This paper gives the instructions on what needs to be undertaken by the database administrators (DBAs) and insurance IT architects to tune PostgreSQL in order to get the best performance. Optimized PostgreSQL configurations have defined the highest; query latency of 45 and throughput and recovery time targets (RTO) of 60 and 50 respectively. The worth of the work is twin-fold: (1) Structured design of PostgreSQL optimization in high volume insurance applications, and (2) the security-oriented backup and restore strategy approach to ensure the network is prepared in accordance with the HIPAA, GDPR, and NAIC model requirements
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