Architecting High-Throughput Microservices with .NET 8 & PostgreSQL

High-throughput systems require harmony between application runtime and persistence layers. In this deep dive, we explore how our engineering team optimized ASP.NET Core 8 with PostgreSQL partitioned tables, Redis distributed caching, and non-blocking I/O. ### 1. Connection Pooling & Prepared Statements One of the most frequent performance bottlenecks in high-volume backends is connection establishment overhead. By configuring Npgsql's connection multiplexing and enabling automatic prepared statement caching, we eliminated query parsing overhead across 95% of database interactions. ### 2. Table Partitioning by Ledger Date Financial ledgers grow exponentially. By establishing monthly RANGE partitions in PostgreSQL, index sizes remained under the RAM buffer cache, ensuring index seeks completed in under 2ms even with over 80 million historical ledger entries. ### 3. Conclusion With modern C# memory optimizations and careful relational design, ASP.NET Core delivers cloud compute savings of over 40% compared to typical enterprise JVM or Node deployments.