Google Cloud Storage: tips for reliability, performance and scalability (Google Cloud Next ’17)

In this video, Michael Yu explores techniques and best practices for improving reliability, performance and scalability on Google Cloud Storage. You’ll learn how to avoid scaling bottlenecks caused by object naming, how to evaluate different storage class tradeoffs between performance and availability, how to optimize your retry strategy to simultaneously reduce tail latency and error rate, how to debug performance problems on remote requests, how to avoid common upload performance pitfalls, and more.

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Duration: 44:47
Publisher: Google Cloud
You can watch this video also at the source.

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