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Understanding the performance of your API gateway is essential for building reliable, scalable, and responsive AI-driven applications. TrustGate is designed to be lightweight and fast, with a focus on low-latency execution, even when multiple plugins, rate limits, and security layers are in place. This section provides an overview of how TrustGate performs under load, how it compares to other solutions, and how you can benchmark it in your own environment.

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What You’ll Find in This Section

  • TrustGate vs Others A comparison of TrustGate’s performance against popular alternatives in the API gateway space. This includes latency, throughput, and memory footprint under similar workloads.
  • Local Setup for Benchmarking Instructions on how to set up and run performance tests locally using common tools such as wrk, k6, or custom scripts. Learn how to simulate real-world traffic, test different plugin combinations, and analyze results.

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Why Performance Matters

  • 🚀 Low Latency Inference For AI workloads, response time is critical. TrustGate minimizes overhead in request/response pipelines to keep latency predictable.
  • 💡 Scalable Design Built for high concurrency, TrustGate efficiently handles multiple simultaneous requests across multiple services and providers.
  • 📊 Observability-Friendly Metrics and plugin execution times are exposed and traceable, allowing for accurate performance profiling and bottleneck detection.
Use this section when you:
  • Need to compare TrustGate with your existing gateway or proxy
  • Want to establish baseline latency for prompt moderation, rate limiting, or masking
  • Are preparing for production load testing or traffic spikes
  • Want to optimize performance based on measurable data
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