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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. have been released since then with some major changes.

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How To Measure the Working Set Size on Linux

Brendan Gregg

It is used for capacity planning and scalability analysis. Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). My tool does this using /proc/PID/clear_refs and the Referenced value from /proc/PID/smaps, which were added in 2007 by David Rientjes (thanks).

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The Best In Performance Interview Series – Episode #4: Recap with Rich Howard

Rigor

When working on a project for the Man Booker Prize in 2007 (now known as the Booker Prize), Howard saw first-hand how a heavy-load day could impact a website. Make technical changes like increasing the length of cache headers within their particular assets. Retrospectives. Lessons learned.

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How To Measure the Working Set Size on Linux

Brendan Gregg

It is used for capacity planning and scalability analysis. Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). My tool does this using /proc/PID/clear_refs and the Referenced value from /proc/PID/smaps, which were added in 2007 by David Rientjes (thanks).

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. We had an advanced team of database administrators and access to top experts within Oracle. million requests per second.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Hybrid Sync.