Large-Scale, Semi-Automated Go Garbage Collection Tuning at Uber
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This talk is based on lessons we learn while saving 70K cores across 30 mission-critical services. It focuses on how we reduced the cost of computing capacity by improving efficiency. Some of the most impactful work was around Go garbage collection optimization. Learn how we implemented a highly effective, low-risk, large-scale, semi-automated Go GC tuning mechanism.
