August 28, 2014

About Peter Boros

Peter joined the European consulting team in May 2012. Before joining Percona, among many other things, he worked at Sun Microsystems, specialized there in performance tuning and was a DBA at Hungary's largest social networking site. He also taught many Oracle University MySQL courses. He has been using and working with open source software from early 2000s. Peter's first and foremost professional interest is performance tuning.

He currently lives in Budapest, Hungary with his wife and son.

Measuring failover time for ScaleArc load balancer

ScaleArc hired Percona to benchmark failover times for the ScaleArc database traffic management software in different scenarios. We tested failover times for various clustered setups, where ScaleArc itself was the load balancer for the cluster. These tests complement other performance tests on the ScaleArc software – sysbench testing for latency and testing for WordPress acceleration. […]

Benchmarking IBM eXFlash™ DIMM with sysbench fileio

Diablo Technologies engaged Percona to benchmark IBM eXFlash™ DIMMs in various aspects. An eXFlash™ DIMM itself is quite an interesting piece of technology. In a nutshell, it’s flash storage, which you can put in the memory DIMM slots. Enabled by Diablo’s Memory Channel Storage™ technology, this practically means low latency and some unique performance characteristics. These […]

Why ALTER TABLE runs faster on Percona Server 5.5 vs. MySQL 5.5

Some of us Perconians are at OpenStack summit this week in Atlanta. Matt Griffin, our director of product management, tweeted about the turbo-hipster CI talk about their experience of ALTER TABLEs running faster on Percona Server. Oracle’s Morgan Tocker then tweeted in response, asking why this was the case. I decided that the simplest way to […]

ScaleArc: Real-world application testing with WordPress (benchmark test)

ScaleArc recently hired Percona to perform various tests on its database traffic management product. This post is the outcome of the benchmarks carried out by me and ScaleArc co-founder and chief architect, Uday Sawant. The goal of this benchmark was to identify ScaleArc’s overhead using a real-world application – the world’s most popular (according to […]

ScaleArc: Benchmarking with sysbench

ScaleArc recently hired Percona to perform various tests on its database traffic management product. This post is the outcome of the benchmarks carried out by Uday Sawant (ScaleArc) and myself. You can also download the report directly as a PDF here. The goal of these benchmarks is to identify the potential overhead of the ScaleArc […]

Percona XtraDB Cluster performance monitoring and troubleshooting

First of all we would like to thank all of you who attended the Feb. 19 MySQL webinar, “Performance Monitoring and Troubleshooting of Percona XtraDB Cluster.” We got some really good questions – many of which we didn’t have time to address during the sessions, so Johan Andersson, Severalnines CTO,and I are answering them here […]

Percona XtraDB Cluster performance monitoring and troubleshooting: Webinar

Next Wednesday, Severalnines CTO Johan Andersson and I will co-present a webinar about ClusterControl, a cluster management tool created by Severalnines that can monitor Percona XtraDB Cluster. It provides DBAs with the right metrics to manage and optimize applications during development and production. In the webinar, titled “Performance Monitoring and Troubleshooting of Percona XtraDB Cluster,” we […]

Multi-Data Center MySQL with Continuent Tungsten: Dec. 11 webinar

I’m looking forward to next week’s MySQL webinar with Robert Hodges, CEO of Continuent. We’ll be speaking on the topic “Multi-Data Center MySQL with Continuent Tungsten.” You’re not alone if you’ve been vexed when trying to assemble multi-master, multi-site MySQL clusters. Whether that was a move from a single database server to a scalable cluster, […]

When it’s faster to use SQL in MySQL NDB Cluster over memcache API

Memcache access for MySQL Cluster (or NDBCluster) provides faster access to the data because it avoids the SQL parsing overhead for simple lookups – which is a great feature. But what happens if I try to get multiple records via memcache API (multi-GET) and via SQL (SELECT with IN())? I’ve encountered this a few times […]

How people are using MySQL… from 1 user to 100 million (upcoming conference talk)

MySQL can be deployed in several ways, and that means you can choose a tailor-made path that best meets your needs. With simple services or development systems, many people are using a single server with some backups configured, and then simply take the downtime when a restore is needed. As the application evolves, additional requirements […]