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Software Engineering Daily

Database Caching with Ben Hagen

Tue Aug 08 2023
database cachingPolyScaleAIdistributed cache

Description

Database caching is simplified with PolyScale, a fully automated and plug-and-play distributed database cache. Leveraging AI and statistical models, PolyScale determines which queries should be cached, resulting in high hit rates and improved performance. With its side-car architecture, PolyScale inspects SQL statements and optimizes caching decisions based on read or manipulation queries. It also offers global deployment in minutes, making it suitable for applications of any size.

Insights

PolyScale simplifies database caching

PolyScale is a fully automated database cache that leverages AI and automated configuration to simplify the process of determining what should and should not be cached.

PolyScale is fully autonomous and plug-and-play

PolyScale focuses on being completely plug and play, with a side-car architecture that sits between the application server and the database, inspecting all TCP data passing between them.

PolyScale uses AI to determine cacheability

PolyScale analyzes SQL statements to determine if they are read queries or manipulation queries, and uses AI models to determine if they are good candidates for caching.

PolyScale maintains high hit rates

PolyScale achieves high hit rates by pre-caching similar queries and invalidating the cache for changed data, ensuring reliable and accurate caching decisions.

PolyScale optimizes performance for distributed applications

PolyScale reduces latency for geographically distributed applications through its edge network, improving performance and user experience.

PolyScale offers quick deployment and scalability

PolyScale can be deployed globally in less than 30 minutes, making it suitable for both small and large customers looking to improve database performance.

Chapters

  1. Database Caching with PolyScale
Summary
Transcript

Database Caching with PolyScale

00:00 - 35:36

  • PolyScale is a fully automated database cache that leverages AI and automated configuration to simplify the process of determining what should and should not be cached.
  • PolyScale is a fully autonomous distributed database cache that focuses on being completely plug and play.
  • PolyScale uses a side-car architecture to sit between the application server and the database, inspecting all TCP data passing between them.
  • PolyScale analyzes SQL statements to determine if they are read queries or manipulation queries, and uses AI models to determine if they are good candidates for caching.
  • PolyScale maintains high hit rates by pre-caching similar queries and invalidating the cache for changed data.
  • PolyScale's statistical models ensure reliability and accuracy in caching decisions.
  • PolyScale can optimize performance for geographically distributed applications by reducing latency through its edge network.
  • PolyScale can be deployed globally in less than 30 minutes, providing significant performance improvements for both small and large customers.
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