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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. Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Benchmark before you decide.

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

All Things Distributed

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

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How To Measure the Working Set Size on Linux

Brendan Gregg

It is used for capacity planning and scalability analysis. Here is a MySQL database server (mysqld), PID 423, and measuring its working set size for 0.1 Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). That's the working set size. 16.570 403.66 32.980 403.66

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How To Measure the Working Set Size on Linux

Brendan Gregg

It is used for capacity planning and scalability analysis. Here is a MySQL database server (mysqld), PID 423, and measuring its working set size for 0.1 Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). That's the working set size. 16.570 403.66 32.980 403.66

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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.