Monitoring MySQL with Loom Systems gives you critical visibility into what’s happening with your database and the applications that depend on it. Loom Systems allows you to view the health of your servers without manual setup and delays. It will show you which servers have been stopped, the error log types over time, top errors, top warnings, crash recovery attempts over time, and the count of how many times a server has been up or down in a specific time window.
Using MySQL DB to store your unstructured proprietary logs?
Simply stream the logs tables to loom in less than 2 minutes.
MySQL log files can be daunting and time-consuming to analyze manually with the human eye, especially MySQL Error Logs which are single lines. Since a human may not be able to recognize patterns in logging activity, seeking an analytics tool like Loom Systems can help make sense of MySQL server log data. The Loom Systems offering provides the following capabilities:
Automatically monitor query performance and detect slow queries, anomalies and changes over time
Correlate between different layers of your application.
Analyze proprietary unstructured logs saved in your MySql DB.
Check out Loom System to identify patterns of errors associated with slow queries and uncover other replication issues to improve the performance of your MySQL database server. It is included with your free trial. Register now to get started!
Just configure nxlog (Windows) or rsyslog (Unix-like) configuration to see the all events you need. Loom Systems shows you two types of MySQL server logs files: Error Logs and Slow Query Logs. Loom will transform your data into insightful information, is not just a aggregation of your Logs Logs, Loom lets you:
Monitor across disparate sets of MySQL tables data and uncover hidden business opportunities and issues.
You will be alerted on any abnormal customer sessions and behavior, with correlations across your data base and other parts of the application tier (for example slow query responses)
In real time you will discover and resolve bottlenecks in your application.
Investigate any activity, drill down to the smallest activities in any time frame.
MySQL Error Logs
The error log contains information about mysqld startup and shutdown times, progress notes that occur during startup and shutdown, and critical errors that occur while the server is running. If mysqld notices a table that needs to be automatically checked or repaired, it writes a message to the error log.
Also included in the Error Log message is an ID that corresponds to the thread in mysqld that is writing the message. The connection thread ID identifies the part of the server that produced the error message and exists both in the general query log and slow query log messages.
Loom will automatically extract the stack trace if mysqld exits abnormally. The trace can be used to determine the root cause of the failure.
Slow Query Logs
These contain SQL statements taking longer than a configured amount of seconds known as the “long_query_time” parameter value to execute and that require at least the minimum number of rows to be examined known as the “min_examined_row_limit” parameter value. The slow query log can be used to find queries that take a long time to execute and are therefore candidates for optimization. However, examining a long slow query log can become a difficult task. To make this easier, you can process automatically by using Loom.
More information about the MySQL Error and Slow Query Logs you can find here.
Loom System is the only solution which enable to collect any logs format from any table with in your MySQL DB. Simply use the "MySQL" Plug in and start gain insights on your application.
It is common for Yum or APT package installations to configure an error log location under /var/log with an entry like var/log/mysql/mysql_error.log and /var/log/mysql/mysql-slow.log. You can check and change the logging configuration /etc/mysql/my.cnf.Windows
On windows devices MySQL log files usually stored (by default) here: C:\ProgramData\MySQL\MySQL Server X.X \data
MySQL, an open source Relational Database Management System (RDBMS), generates a variety of log files containing messages helping administrators to better understand the activities and errors occurring within their MySQL database. MySQL is developed, distributed, and supported by Oracle Corporation. .
With Loom Systems, you monitor and visualize MySQL logs and metrics as part of your end to end application monitoring.