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Displaying posts with tag: MONyog (reset)
Why You Need to Know What You Don’t Know

Author: Robert Agar

In the complicated world of database management, a lot of data needs to be assimilated by those responsible for keeping the systems healthy and operational. Management and the database team can be challenged trying to stay on top of all the moving parts required to keep things running smoothly. This task can prove to be quite difficult when faced with a large number of databases which may encompass several diverse platforms.

There are many different database products from which to choose. Some are more appropriate for particular uses which may play a role in your decision to go with one solution over another. Open-source databases are very popular, and MySQL has a large lead in the number of users it supports. It is the top-ranked open-source database in terms of popularity. When …

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Fix Problems Proactively with SQL Diagnostic Manager for MySQL (formerly Monyog)

In the conclusion of our blog series, Benefits of SQL Diagnostic Manager for MySQL (formerly Monyog), we explore features of SQL Diagnostic Manager for MySQL that allow database administrators to proactively monitor and manage MySQL and MariaDB servers. If you missed it, feel free to read last week’s post on monitoring MySQL and MariaDB servers.

Fix Problems Proactively with Hundreds of Monitors

SQL Diagnostic Manager for MySQL includes hundreds of monitors that are designed to examine the configuration and security of MySQL and MariaDB servers automatically, identify problems and tuning opportunities, and provides database administrators with specific corrective actions.

Use Advisor Rules

The Advisor Rules feature is a set of best practices that enables database administrators to monitor MySQL …

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Monitoring MySQL and MariaDB Servers

In week 5 of our Benefits of SQL Diagnostic Manager for MySQL (formerly Monyog) blog series, we detail MySQL and MariaDB monitoring features with SQL Diagnostic Manager for MySQL, including real-time monitoring and monitoring MySQL error logs. If you missed it, you can read our previous post on understanding database performance trends.

Fast Startup Time to Start Monitoring

Database administrators can start monitoring MySQL and MariaDB servers in less than a single minute. The unique architecture and low-footprint of SQL Diagnostic Manager for MySQL enable database administrators to install and configure all of the components that are required for monitoring MySQL and MariaDB servers very quickly.

The fast startup time is in sharp contrast with other monitoring and advisory …

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Before You Stop Using MySQL, Read This

Author: Robert Agar

An organization’s databases contain information that is essential for its survival. This may encompass sensitive customer data, employee records, online sales catalogs, and intellectual capital to name just a few uses of a database. The responsibility of keeping these vital resources available falls to the enterprise’s team of DBAs. Failure to properly maintain these systems can lead to serious negative consequences that can cripple a company’s ability to do business.

Almost every application of any real utility is backed by a database, which in turn is administered through a database management system (DBMS). MySQL is an extremely widely-used DBMS whose popularity is only exceeded by that of Oracle. Countless business-critical applications rely on the availability and performance of MySQL databases. A common …

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Understand Database Performance Trends – SQL Diagnostic Manager for MySQL (formerly Monyog)

Next in our Benefits of SQL Diagnostic Manager for MySQL (formerly Monyog) blog series, we discuss monitoring and understanding performance trends using visual analytics and the display dashboard of SQL Diagnostic Manager for MySQL. If you missed it, you can read last week’s blog on identifying and analyzing problematic SQL queries.

View and Understand Trends By Analyzing Historical Data

Configure the time duration for storing the data collected by SQL Diagnostic Manager for MySQL. It stores the data in a high-performance database (that is, the embedded relational database management system SQLite). By analyzing historical data, quickly obtain answers to questions like:

  • How many times and when did database servers go down during the last six months? Which …
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Find, Monitor, and Analyze Problematic SQL Queries – SQL Diagnostic Manager for MySQL (formerly Monyog)

In week 3 of our series, Benefits of SQL Diagnostic Manager for MySQL (formerly Monyog), we discuss how to identify and analyze problematic SQL queries using SQL Diagnostic Manager for MySQL. If you missed it, feel free to read our previous post on Agentless Monitoring and Cloud Readiness.

Find Problematic SQL Queries

MySQL and MariaDB currently lack advanced tools for profiling SQL queries (such as SQL Profiler of Microsoft’ SQL Server). While other monitoring tools for MySQL and MariaDB provide monitoring and advisory information on various system metrics, they do not pinpoint the problematic SQL queries. No amount of hardware upgrades and tuning of the parameters in the database server configuration file ‘my.cnf’ and the database server initialization file …

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Agentless Monitoring and Cloud Readiness with SQL Diagnostic Manager for MySQL (formerly Monyog)

Welcome back to our blog series, Benefits of SQL Diagnostic Manager for MySQL (formerly Monyog). Last week, we discussed some of the challenges associated with MySQL and MariaDB database systems. Today, we dive in to additional features of SQL Diagnostic Manager for MySQL, including agentless monitoring technology, cloud readiness, and customization options.

Agentless Monitoring

Unlike other monitoring and advisory tools for MySQL and MariaDB, SQL Diagnostic Manager for MySQL does not require installing monitoring agents on each MySQL and MariaDB server. Installing and maintaining monitoring agents can be a complex administration task by itself.

SQL Diagnostic Manager for MySQL uses a standard MySQL connection for monitoring. To collect data for the operating system from remote database servers, …

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Benefits of SQL Diagnostic Manager for MySQL (formerly Monyog)

Welcome to our new blog series Benefits of SQL Diagnostic Manager for MySQL (formerly Monyog). This series will discuss the features of SQL Diagnostic Manager for MySQL designed to enable organizations to scale their existing resources for database administration. This week, we focus on the challenges associated with MySQL and MariaDB database systems.

The MySQL and MariaDB database systems are rapidly becoming the de-facto choice for traditional enterprises as well as pioneering Web 2.0 companies. Webyog has been consistently delivering powerful tools exclusively on the MySQL and MariaDB platform for the last 15 years.

While the adoption rate of MySQL and MariaDB continues to grow in momentum, it poses some unique challenges for traditional database administrators and their organizations. Some of these challenges are:

  • Find problematic SQL queries
  • Analyze MySQL and MariaDB performance data …
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Monitoring Master-Slave Replication in MySQL 8

MySQL 8 introduced a number of enhancements to improve both replication performance and the monitoring thereof. Improvements included more efficient replication of small updates on big JSON documents, the addition of Performance Schema tables for slave performance metrics, tracing and debug logging improvements, among others. With regards to monitoring, Group Replication has been improved by introducing new replication timestamps, additional columns to the performance schema, as well as by making the relationship between replication threads more efficient. We covered the various improvements to replication performance in the Replication Performance Enhancements in MySQL 8 blog. Today’s blog will provide some practical guidelines on monitoring your MySQL 8 master-slave and group (cluster) replication.

Two Types of MySQL Replication

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Setting up Basic Master-Slave Replication in MySQL 8

Since April 19th, when MySQL 8.0 became Generally Available (GA), the MySQL community has been abuzz with excitement over all of the new features and improvements. Many of new features were improvements to performance or monitoring, while others were specifically related to replication. We reviewed Replication Performance Enhancements in MySQL 8 recently. Today’s blog will describe how to set up a basic master-slave configuration with MySQL, using two servers on a single machine.

Replication Defined

MySQL replication is a process in which data from one MySQL database server (the master) is copied automatically to one or more MySQL database servers (the slaves). In the case of multiple slaves, these are usually referred to as a slave cluster. Replication should not to be confused with backup operations. Whereas the aim of backups is to protect the data and/or data structure, the role of replication is typically to spread …

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