Linux Systems Capacity Planning
This video is from our good friends at USENIX's recent LISA conference in Boston.
"Linux Systems Capacity Planning: Beyond RRD and top", by Rodrigo Campos
As infrastructure costs rise, there's an urgent need to squeeze more performance from the same hardware. After several years of measuring and managing the capacity of thousands of Linux servers, we have learned that most typical tools and metrics are not sufficient to predict performance bottlenecks, particularly during traffic spikes. By using queue theory formulas and instrumenting our applications we were able to find the limits of our systems, improve reliability, and maximize throughput and performance.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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