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Lessons Learned: Benchmarking NoSQL on the AWS Cloud

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No logo availableNorwegian Developers Conference (NDC)
 Langit, Lynn

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Lessons Learned: Benchmarking NoSQL on the AWS Cloud
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Make it Faster - Lessons Learned from Benchmarking NoSQL on the AWS Cloud
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CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Abstract
This is a new talk, based on benchmarking work I did for the NoSQL database company AerospikeDB. In this talk you will learn best practices for performing database benchmarking on the AWS cloud. More broadly, these processes can be applied to your production workloads to get more speed and efficiency. Topics include set up practices and tuning techniques you can use to minimize network, disk, cpu and RAM bottlenecks. Also included is understanding how to choose and tune the appropriate AWS AMI instance type for your data workload. Databasese used are AerospikeDB and Redis. Additionally included are techniques to maximize performance for these two commonly used key-value stores on the AWS cloud.