As tables increase in size and more and more users come online, it becomes increasingly necessary to fine-tune your database server from time to time. The secret to knowing what adjustments need to be made is to perform regular monitoring. Most databases offer dozens – if not hundreds – of performance metrics that you can assess.

In the earlier blog, we showed a number of ways to determine the cause(s) of MySQL database performance issues using a couple of built-in tools. With this two blog series, we will focus on monitoring key performance metrics. In part one, we’ll:

• examine the benefits of performance monitoring,
• outline the main performance metric categories
• list the monitoring tools provided by MySQL, i.e.:
  • server variables
  • the Performance Schema
  …

Despite your very best efforts, as tables increase in size and more and more users come online, sluggish MySQL performance eventually rears its ugly head. When that happens, you may be tempted to shrug it off as part of doing business. Don’t. By understanding the mechanisms behind database slowdowns and by methodically attacking the problem, you can home in on the culprit(s) and remedy the issues in a timely manner, before your business suffers substantial losses as a result.

The purpose of this blog is to assist you in determining the cause(s) of MySQL database performance issues using a couple of built-in tools.

Why Database Performance Slows Down

It’s no secret that database performance tends to degrade over time. While it’s easy to point the finger at the number of concurrent users, table scans, and growing tables, the reality is more complex than that. The most common reason for slow database performance is …

This blog describes how to identify queries that cause a sudden spike in system resources as well as the user and host who executed the culprit query using the Monyog MySQL Monitor and Advisor.

How many times have you seen a system go live and perform much worse than it did in testing? There could be several reasons behind bad performance. For instance, a slow running query in MySQL can be caused by a poor database design or may be due to higher-than-normal latency in network communication. Other issues such as using too few or too many indexes may also be a factor. This blog will identify the types of poorly performing queries and outline some concrete strategies for identifying them using monitoring. Finally, some tips for improving performance will be presented.

The Effects of Misbehaving Queries

Typically, misbehaving queries will result in two possible outcomes: high CPU usage and/or slow execution. The two …

This blog describes how to identify queries that cause a sudden spike in system resources as well as the user and host who executed the culprit query using the Monyog MySQL Monitor and Advisor.

How many times have you seen a system go live and perform much worse than it did in testing? There could be several reasons behind bad performance. For instance, a slow running query in MySQL can be caused by a poor database design or may be due to higher-than-normal latency in network communication. Other issues such as using too few or too many indexes may also be a factor. This blog will identify the types of poorly performing queries and outline some concrete strategies for identifying them using monitoring. Finally, some tips for improving performance will be presented.

The Effects of Misbehaving Queries

Typically, misbehaving queries will result in two possible outcomes: high CPU usage and/or slow execution. The two …

Airvantage is a Value Added Service Provider for mobile telecommunication networks. Airvantage offers various gaming platforms, and subscriber retention initiatives like emergency airtime, mobile money integration, etc.

A simple solution for staying compliant

Airvantage host each customer’s database on its server (virtual) as they are bound to do so from a legislative perspective. They are presently monitoring several production servers that are spread over various countries in Africa and the Caribbean. Looking at many tools, including ManageEngine and some open source alternatives, Airvantage opted for Monyog for its simplicity, ease of config, and relatively affordable price-tag.

Liam described what he needed was “a complete MySQL monitoring system with early-warning mechanisms which allow him to sleep much better”.  With Monyog, Liam instantly started relying on the 600+ monitors and alerts to become better at …

Airvantage is a Value Added Service Provider for mobile telecommunication networks. Airvantage offers various gaming platforms, and subscriber retention initiatives like emergency airtime, mobile money integration, etc.

A simple solution for staying compliant

Airvantage host each customer’s database on its server (virtual) as they are bound to do so from a legislative perspective. They are presently monitoring several production servers that are spread over various countries in Africa and the Caribbean. Looking at many tools, including ManageEngine and some open source alternatives, Airvantage opted for Monyog for its simplicity, ease of config, and relatively affordable price-tag.

Liam described what he needed was “a complete MySQL monitoring system with early-warning mechanisms which allow him to sleep much better”.  With Monyog, Liam instantly started relying on the 600+ monitors and alerts to become better at …

Hope you have been following our recent webinars on MySQL, Galera Cluster, AWS monitoring and more.

We are coming up with a webinar series in association with Eric Vanier, a leading MySQL expert consultant. The series will provide a step-by-step process to optimize MySQL database performance.

This webinar series is for everyone who is looking for ways to monitor their MySQL databases, simplify the process to manually analyze queries and achieve faster issue resolution time.

Eric Vanier will focus on key problem areas that are faced by DBAs and Shree will provide a solution-driven demonstration to overcome issues while monitoring the database performance. To make it simple, the series will comprise of three parts:

Part – 1: MySQL Performance Tuning
26 June; 10:00 am Eastern time

Troubleshooting a MySQL …

Hope you have been following our recent webinars on MySQL, Galera Cluster, AWS monitoring and more.

We are coming up with a webinar series in association with Eric Vanier, a leading MySQL expert consultant. The series will provide a step-by-step process to optimize MySQL database performance.

This webinar series is for everyone who is looking for ways to monitor their MySQL databases, simplify the process to manually analyze queries and achieve faster issue resolution time.

Eric Vanier will focus on key problem areas that are faced by DBAs and Shree will provide a solution-driven demonstration to overcome issues while monitoring the database performance. To make it simple, the series will comprise of three parts:

Part – 1: MySQL Performance Tuning
26 June; 10:00 am Eastern time

Troubleshooting a MySQL …

This maintenance release of SQLyog, MySQL GUI introduces a new feature – REGEX search in Object Browser – and adds a few bug fixes.

Changes as compared to MySQL GUI 12.4.1 include:

Important notice:

* The tunneler file for HTTP-tunnel has been updated with this release and must be replaced on the server.  Earlier HTTP-tunnel required PCRE-support in the server-side PHP-environment. Now it does not.

Features:

* Search function in Object Browser now supports regular expressions.

Bug Fixes:

* Fixed a rare connection failure using SSH-tunnel to specific BSD systems.
* Removed unnecessary virtual column check for older servers with no support for this.
* Fixed a crash when a …

A basic MySQL or MariaDB replication arrangement uses a simple method to perform replication. Any changes to schema or data on the master are recorded in its binary log. The slave regularly asks the master for any new entries to its binary log, based on position numbers in that log. The slave will record any new entries the master sends it in a relay log and then execute them on its copy of the databases. This system works well with a straightforward master-slave configuration, when there is only one master and one or more slaves.

With recent releases of MySQL and MariaDB, a slave can have multiple sources for replication. This may seem absurd at first until you consider one of the inherent points of replication: load balancing. Slaves are typically used for Read load balancing—to spread traffic related to SELECT statements among several servers. With multi-source replication, Writes can also be load balanced. For a large organization with …