Percona Live, London 2012 continues streak of “not to be missed” events in London, following the footsteps of Royal Wedding, Diamond Jubilee and Summer Olympics. We have prepared great set of Tutorials and Sessions for these two day event. Here is my personal selection of the talks I’d love to attend, though I rarely have such chance

MariaDB – All the New Features by Sergei Golubchik is a great overview of MariaDB features. If you’re interested to …

Two cons against NoSQL data stores read like this: 1. It’s very hard to move data out from one NoSQL to some other system, even other NoSQL. There is a very hard lock in when it comes to NoSQL. If you ever have to move to another database, you have basically to re-implement a lot [...]

MySQL’s SHOW STATUS and SHOW VARIABLES commands (or queries against the corresponding INFORMATION_SCHEMA tables) don’t always show what they say. In particular, SHOW STATUS contains several rows that aren’t status-related, but are really configuration variables in my opinion (and it is an opinion — sometimes the difference isn’t black and white).

Here’s a short list of some status counters that I think are really better off as configuration variables:

• Innodb_page_size
• Slave_heartbeat_period
• Ssl_cipher
• Ssl_cipher_list
• Ssl_ctx_verify_depth
• Ssl_ctx_verify_mode
• Ssl_default_timeout
• Ssl_session_cache_mode
• Ssl_verify_depth
• Ssl_verify_mode
• Ssl_version

Most of those are legacy, but Slave_heartbeat_period is a recent addition.

Can you think of others? What are your …

This webinar covers the basics of B-trees and Fractal Tree Indexes, the benchmarks we’ve run so far, and the development road map going forward.

Date: November 13th
Time: 2 PM EST / 11 AM PST
REGISTER TODAY

Topics will include:

• What is a Fractal Tree Index?
• How to Fractal Trees compare with B-Trees
• What can a Fractal Tree do for MongoDB performance
• Benchmarks + Gotchas
• What’s next

We look forward to having you join the webinar. We also hope that by sharing these results with the community we will be able to elicit people’s …

As a follow up to an earlier blog on the subject, please join us today at 0900 US PT to learn how to easily add policy-based auditing compliance to your existing MySQL applications.  This brief, informative session will provide an overview of the new MySQL Enterprise Audit plugin and will include a simple, practical step-by-step "how to" approach to get up and running with the new functionality.

You can learn more and secure your seat for the presentation here.

 Thanks for your continued support of MySQL!

This Week in Website Performance is a weekly feature of the Monitis.com blog. It summarizes recent articles about website performance. Why? Because your friends at Monitis.com care.

NoSQL or Traditional Database: From an APM Perspective There Isn’t Really Much Difference

Author: Michael Kopp.

If your application is executing more statements or downloading more data than is necessary, no amount of backend tuning will have your site running at the highest level of performance. This article serves as a reminder that the application accessing the data can be …

The European Organization for Nuclear Research (CERN) is one of the world’s largest and most respected centers for scientific research. Founded in 1954 and located near Geneva on the Franco-Swiss border, CERN was one of Europe’s first joint ventures. Today, it has 20 member states. The organization uses the world’s largest and most complex scientific instruments to study fundamental particles and the origin of the universe.

Challenges

• Better support the scientists associated with a CERN research program who selected MySQL as their database.
• Empower users, enabling them to be as self-reliant as possible.
• Minimize complexity and costs for the CERN IT department to support the growing number of MySQL deployments.

Solution

• Delivered a MySQL Database-as-a-Service offering to the CERN employees and the scientists associated with the organization.
…

Last night I wrote about trending data with a moving average, and then after I went to bed, I realized I made a mistake on the chart I showed. I calculated α for the exponentially weighted moving average so that the average age of metrics approaches 60 samples as time approaches infinity, and I plotted that on the same chart with a 60-sample simple moving average.

I’ve made this mistake several times before. The mistake is that the average age of the metrics in the 60-sample simple moving average is 30, not 60.

Here’s what the chart looks like if I change the exponential moving average to a 30-second average age:

If you compare this with yesterday’s chart, you’ll see that today’s red line …

In my recent talk at Surge and Percona Live about adaptive fault detection (slides), I claimed that hardcoded thresholds for alerting about error conditions are usually best to avoid in favor of dynamic or adaptive thresholds. (I actually went much further than that and said that it’s possible to detect faults with great confidence in many systems like MySQL, without setting any thresholds at all.)

In this post I want to explain a little more about the moving averages I used for determining “normal” behavior in the examples I gave. There are two obvious candidates for moving averages: straightforward moving averages and exponentially weighted moving averages.

A straightforward moving average just computes the average (mean) over the last N samples of data. In my case, I used 60 samples. This requires keeping an array …

I feel like I just got back home from Oracle OpenWorld (check out my pictures) and some vacation, but I'll be on the road again next week to attend LinuxCon Europe in Barcelona. I'll be there from Monday (Nov. 5th) until Wednesday evening. Oracle is sponsoring the event and we'll have a booth at the exhibition area (booth #19), handing out free Oracle Linux and Oracle VM DVDs. I'll be at the booth every now and then and plan to give a short introduction and live demo of Ksplice rebootless updates on Monday evening (6:00pm).

Two …