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Scaling To 25 Billion Daily Requests Within 3 Months On AWS

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Scaling To 25 Billion Daily Requests Within 3 Months On AWS

What if you were told that within three months, you had to scale your existing platform from 1,000 req/sec (requests per second) to handle 300,000 req/sec with an average latency of 25 milliseconds?

· Cloud Zone ·
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Using AWS, the Weather Company built a data distribution platform to prepare for unpredictable global demand. The stats are pretty incredible as they explain how they did it in this re:Invent session.


Video Description: 

"What if you were told that within three months, you had to scale your existing platform from 1,000 req/sec (requests per second) to handle 300,000 req/sec with an average latency of 25 milliseconds? And that you had to accomplish this with a tight budget, expand globally, and keep the project confidential until officially announced by well-known global mobile device manufacturers? That’s what exactly happened to us. This session explains how The Weather Company partnered with AWS to scale our data distribution platform to prepare for unpredictable global demand. We cover the many challenges that we faced as we worked on architecture design, technology and tools selection, load testing, deployment and monitoring, and how we solved these challenges using AWS."


Cloud Foundry saves app developers $100K and 10 weeks on average per development cycle. Download the 2018 User Survey for a snapshot of Cloud Foundry users’ deployments and productivity. Find out what people love about the industry standard cloud application platform.

Topics:
aws ,cloud ,big data

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