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Author Archives: Vadim Tkachenko

Measuring Docker IO overhead

This will be another post on using Percona Server via a Docker image. I want to follow up on my previous post regarding CPU/Network overhead in Docker “Measuring Percona Server Docker CPU/network overhead” by measuring  if there is …

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Measuring Percona Server Docker CPU/network overhead

Now that we have our Percona Server Docker images, I wanted to measure the performance overhead when we run the database in the container. Since Docker promises to use a lightweight container, in theory there should be very light overhead. …

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Experimental Percona Docker images for Percona Server

Docker is incredibly popular tool for deploying software, so we decided to provide a Percona Docker image for both Percona Server MySQL and Percona Server for MongoDB. We want to create an easy way to try …

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Making Apache Spark Four Times Faster

This is a followup to my previous post Apache Spark with Air ontime performance data. To recap an interesting point in that post: when using 48 cores with the server, the result was worse than with 12 …

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Apache Spark with Air ontime performance data

There is a growing interest in Apache Spark, so I wanted to play with it (especially after Alexander Rubin’s Using Apache Spark post). To start, I used the recently released Apache Spark 1.6.0 for this experiment, and I will play with “Airlines …

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Percona Server for MongoDB storage engines in iiBench insert workload

We recently released the GA version of Percona Server for MongoDB, which comes with a variety of storage engines: RocksDB, PerconaFT and WiredTiger. Both RocksDB and PerconaFT are write-optimized engines, so I wanted to compare …

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MongoDB 3.2 WiredTiger in iiBench

MongoDB 3.2 was recently released with WiredTiger as the default storage engine. In just over five years, MongoDB has evolved into a popular database. MongoDB 3.0 supported “pluggable storage engines.” The B-Tree-based WiredTiger should outperform IO-optimized …

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Amazon Aurora in sysbench benchmarks

In my previous post Amazon Aurora – Looking Deeper, I promised benchmark results on Amazon Aurora. There are already some results available from Amazon itself: https://d0.awsstatic.com/product-marketing/Aurora/RDS_Aurora_Performance_Assessment_Benchmarking_v1-2.pdf. There are also some from Marco Tusa: http://www.tusacentral.net/joomla/index.php/mysql-blogs/175-aws-aurora-benchmarking-blast-or-splash.html. Amazon used …

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Amazon Aurora – Looking Deeper

Recently my colleague (by Percona) Yves Trudeau and colleague (by industry) Marco Tusa published their materials on Amazon Aurora. Indeed, Amazon Aurora is a hot topic these days, and we have a stream of customer inquiries …

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VividCortex Agent Benchmark

Intro The purpose of this project was to measure the potential overhead of VividCortex Agent, which is used by VividCortex.com database monitoring system. This benchmark is part of a consulting engagement with VividCortex and paid …

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