Database Performance Analyzer Open Source

[Eleanora Parrot]

Database monitoring is a critical component in your application performance monitoring. Apart from application code issues, database issues are one of the most common reasons for a bad user experience. MySQL is one of the most popular open-source DBMS that businesses have widely adopted.

MySQL monitoring tools can help you identify potential issues with your database, keep a continuous check on your database instances, improve performance and detect and alert you about real-time issues.

But choosing the right MySQL monitoring tool can be daunting. How do you know which one is right for your application stack? Here is a list of the top 11 MySQL monitoring tools that can help you keep your MySQL database instances in fine health:

SigNoz is an open-source APM tool that can help you monitor your MySQL database. With SigNoz, you can monitor your entire software system. You can track application metrics as well as infrastructure metrics. SigNoz is especially suited to monitor modern cloud-native applications based on microservices and serverless architecture.

Most modern applications are complex distributed systems, with multiple database instances serving queries from different services. As an APM tool that monitors all your services, SigNoz can monitor the performance of database calls from every service.

SigNoz also provides a metrics builder using which you can create customized dashboards to monitor your MySQL databases. You can also monitor the health and performance of the host machines where your MySQL database is hosted.

SigNoz also provides distributed tracing, using which you can visualize completely how a user request performs in its entirety. You can trace calls from your frontend web application to any database interactions made during the call. You can pinpoint specific MySQL queries which are causing performance bottlenecks.

Prometheus does not provide distributed tracing; hence it will not provide you with contextual information for your MySQL database queries. But it can give you good insights into how your single MySQL instances are performing.

Paessler PRTG Network monitor is a monitoring tool meant to monitor your IT infrastructure. It provides MySQL monitoring as part of its offering. Using PRTG MySQL monitoring, you can keep an eye on the availability of your MySQL database.

Sematext is an enterprise monitoring tool that provides a range of solutions for IT systems and infrastructure monitoring. It provides detailed dashboards for MySQL monitoring. Some of the key MySQL performance metrics that you can track with Sematext are availability, replication, connections, query rate, etc.

Datadog is an enterprise monitoring tool that provides a host of solutions like APM, infrastructure monitoring, real-user monitoring, etc. Datadog provides MySQL monitoring that continually collects MySQL statistics and metrics.

To start monitoring your database servers, you need to install Datadog agents on your database servers. You can also use Datadog dashboard monitoring to monitor the historical performance of your MySQL databases.

ManageEngine Application manager can be used to monitor MySQL databases. You can monitor key MySQL monitoring metrics and also trigger notifications in case of downtimes. Some of the key metrics that the Application Manager can track for MySQL are connection time, request statistics, connection statistics, table lock statistics, query hit ratio, etc.

Appdynamics provides an APM solution that can be used to monitor MySQL databases. It provides a database monitoring product module that can monitor any version of MySQL database running on any platform.

Using Appdynamics database monitoring, you can perform root cause analysis with access to detailed graphs of the MySQL servers your application is using. It also provides historical trend analysis using which you can create a baseline for your MySQL performance.

MySQL database servers process huge amounts of transaction, and these transactions are critical to users using your application. Database performance issues, if not resolved timely, can lead to huge losses in business opportunities. As such, having a robust monitoring tool for your MySQL servers is critical.

One of the biggest concerns you should address while choosing a monitoring tool for MySQL should be how easily the tool lets you correlate your database queries with user interactions. Having complete visibility on the entire request involving MySQL queries can help engineering teams debug performance issues faster.

You can monitor your MySQL servers in isolation, but it would be much more effective if the monitoring tool helps you monitor MySQL servers with contextual information like which service made the call along with resource metrics from your infrastructure. For this to happen, the tool must have capabilities like distributed tracing. SigNoz, the open-source APM, provides distributed tracing as one of its major features.

Using SigNoz, you can trace your MySQL queries and see the entire request in its entirety. SigNoz uses OpenTelemetry as the agent to instrument your application and database calls. OpenTelemetry is quietly becoming the standard way of instrumenting cloud-native applications. By choosing SigNoz, you can future-proof your monitoring stack with effective monitoring of MySQL database servers.

SigNoz cloud is the easiest way to run SigNoz. Sign up for a freeaccount and get 30 days of unlimited access to all features. You canalso install and self-host SigNoz yourself since it is open-source. With 16,000+ GitHub stars,open-source SigNoz is loved by developers. Find theinstructions to self-host SigNoz.

Percona Monitoring and Management (PMM) is an open source database observability, monitoring, and management tool for use with MySQL, PostgreSQL, MongoDB, and the servers on which they run. It enables you to view node- to single-query performance metrics for all of your databases in a single place. With Query Analytics, you can quickly locate costly and slow-running queries to address bottlenecks. Additionally, Percona Advisors equip you with performance, security, and configuration recommendations that help you keep your databases performing at their best. Alerting and management features like backup, restore, and built-in open source Private DBaaS are designed to increase the velocity of your IT team.

Back up your critical data with zero downtime and minimal performance impact. Schedule various types of backups (hot, incremental, physical) and restore databases up to a specific moment with Point-in-Time Recovery.

Percona Monitoring and Management provides actionable performance data for MySQL variants, including Percona Server for MySQL, Percona XtraDB Cluster, Oracle MySQL Community Edition, Oracle MySQL Enterprise Edition, and MariaDB.

Percona Monitoring and Management monitors and provides actionable performance data for PostgreSQL. It captures metrics and data for PostgreSQL such as Connections, Active Connections, Tuples, Tuple Activity, and more. PMM provides:

Percona Monitoring and Management is designed to work with Amazon RDS MySQL and Amazon Aurora MySQL. PMM has a specific dashboard for monitoring Amazon Aurora MySQL using Cloudwatch and direct sampling of MySQL metrics:

Percona Monitoring and Management is designed to work with ProxySQL. ProxySQL is a high-performance SQL proxy. ProxySQL runs as a daemon watched by a monitoring process. The process monitors the daemon and restarts it in case of a crash, to minimize downtime.

Percona XtraDB Cluster is an active/active high availability and high scalability open source solution for MySQL clustering. It integrates Percona Server for MySQL and Percona XtraBackup with the Codership Galera library of MySQL high availability solutions in a single package that enables you to create a cost-effective MySQL high availability cluster. Dashboard information includes:

I have been using databases for a lot longer than I care to admit, and a lot of that time has been spent looking at the entrails of servers, trying to determine exactly what they were doing. Thank goodness for the engineers behind the MySQL Performance Schema and Information Schema and their efforts to provide solid information. And then came the Sys schema with handy prepackaged peeks at the server. Before the advent of those schemas, there was no easy way to get granular information about a database instance.

But peering at tabulated displays at the information of one point in time does not allow for trend-spotting or a quick glance to ascertain a server's status. Being able to spot a trend on a graph or have alerts sent when a threshold is reached is vital. My friends in the PostgreSQL and MongoDB worlds had the same problem. The good news is that there is an open source solution for all three databases that is easy to install and use.

I am a fairly new employee at Percona but have been around MySQL for a long time. One of my first goals was to learn how to set up and use Percona Monitoring and Measurement (PMM). I know a whole slew of folks who use it happily, but I had only worked with it for a few moments at a trade show. My natural trepidation at installing anything that provided graphical information linked to a database was established well before open source databases were around. This hesitation is rooted in attempts to configure other monitoring software for proprietary databases.

The TL;DR is that PMM is simple to install and use. The documentation is well written, detailed, and handy. The software itself is easy to obtain and install. The overall experience is a ten out of ten.

I should say I read the documentation twice while muttering it can't be that simple. At the end of this article you will find the commands I entered to install the PMM server and the agents (MySQL, PostgreSQL, and Mongo). It's a cookbook showing how to recreate this test case.

The prerequisite for installing PMM is Docker, which proves to be the most intensive part of the entire installation. Thankfully the package management software for Ubuntu (apt) makes this very simple.

c80f0f1006