Search Results for: mysql scalability techniques

Practical MySQL Performance Optimization (July 2 webinar)

Applications often become impacted by MySQL performance. Optimization is the obvious solution but where to start? Join me on July 2 at 11 a.m. Pacific and I’ll show you how to optimize MySQL in a practical way – spending time on what gives you the best return. Many of you have heard me talk on […]

Percona sessions at the MySQL conference

Many Percona employees will be at the 2010 MySQL conference. We’ll be giving a lot of informative technical talks on various topics. Here’s a list: Morgan Tocker, Baron Schwartz: Diagnosing and Fixing MySQL Performance Problems Peter Zaitsev: Scaling Applications with Caching, Sharding and Replication Baron Schwartz: EXPLAIN Demystified Vadim Tkachenko: An Overview of Flash Storage […]

Managing big data? Say ‘hello’ to HP Vertica

Over the past few months, I’ve seen an increase in the following use case while working on performance and schema review engagements: I need to store exponentially increasing amounts of data and analyze all of it in real-time. This is also known simply as: “We have big data.” Typically, this data is used for user […]

Automation: A case for synchronous replication

Just yesterday I wrote about math of automatic failover today I’ll share my thoughts about what makes MySQL failover different from many other components and why asynchronous nature of standard replication solution is causing problems with it. Lets first think about properties of simple components we fail over – web servers, application servers etc. We […]

Followup on performance metrics: slides, video

A while back, I wrote a two part post on how you can extract an amazing amount of information about a system’s performance, scalability, queueing, and more by just measuring request arrivals and completions, and the timestamps thereof. I promised to develop this into a more complete description of how to analyze MySQL’s performance and […]

The two even more fundamental performance metrics

In a recent blog post, I wrote about four fundamental metrics for system performance analysis. These are throughput, residence time, “weighted time” (the sum of all residence times in the observation period — the terminology is mine for lack of a better name), and concurrency. I derived all of these metrics from two “even more […]