Performance

This document outlines performance considerations, benchmarks and optimization strategies for Anya Bitcoin.

Benchmarks

Benchmarks are run on a regular basis and results are recorded in the Benchmarks document.

Optimization Strategies

The following optimization strategies are employed in Anya Bitcoin:

  • Caching: caching is used extensively in Anya Bitcoin to reduce the load on the underlying systems.
  • Database query optimization: database queries are optimized to reduce the amount of data being transferred and processed.
  • Async processing: async processing is used to reduce the load on the underlying systems and improve responsiveness.
  • Memory optimization: memory usage is optimized to reduce the amount of memory used and improve performance.
  • Code optimization: code is optimized to reduce the amount of CPU used and improve performance.

Performance Metrics

The following performance metrics are used to measure the performance of Anya Bitcoin:

  • Transaction processing time: the time it takes to process a transaction.
  • Model inference latency: the time it takes to perform model inference.
  • Memory usage: the amount of memory used by Anya Bitcoin.
  • Cache hit rates: the percentage of cache hits.
  • API response times: the time it takes to respond to an API request.

Monitoring

Performance metrics are monitored on a regular basis to ensure that the performance of Anya Bitcoin is within acceptable limits.

Last updated: 2025-06-02