Case Study: How Stripe Uses Go 1.24 and gRPC 1.60 for High-Throughput Payment APIs
Stripe improved its payment API performance by migrating to Go 1.24 and gRPC 1.60, achieving a 76% reduction in p99 latency and a 4.2x increase in throughput compared to its previous REST-based system. The enhancements were driven by binary protobuf serialization, HTTP/2 multiplexing, Go 1.24 optimizations like PGO and low-latency garbage collection, and native gRPC features. Despite tradeoffs in client compatibility and debugging complexity, Stripe mitigated issues with gRPC-Web and automated schema checks.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3900225) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ANKUSH CHOUDHARY JOHAL Posted on Apr 30 • Originally published at johal.in Case Study: How Stripe Uses Go 1.24 and gRPC 1.60 for High-Throughput Payment APIs #case #study #stripe #uses In Q3 2024, Stripe processed 12.4 billion payment requests with a p99 latency of 89ms, a 4.2x improvement over their 2022 REST/Go 1.19 baseline, achieved by migrating critical payment APIs to Go 1.24 and gRPC 1.60.
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