Read what Monyog customers have to say

Our organisation now has a cost-effective, agent-less and robust tool for monitoring and managing the MariaDB estate. Monyog helped us manage a number of MariaDB database servers that require monitoring in off-shore locations. Features like Query Analyzer helped us identify poorly performing SQL and provided the ability to help tune the performance. Also, Alerting and monitoring InnoDB deadlocks in real-time helped us stay ahead of problems in data concurrency issues.

Dermot Brereton – Sr. Database Administrator, Sysnet Global
Solutions Read the Sysnet Global Solutions customer story

Monyog utilizes “agent-less monitoring”, thus eliminating the need to install and maintain monitoring agents, which can be a complex administration task by itself. Instead, Monyog uses a normal MySQL connection for monitoring MySQL. To collect OS data from remote servers, Monyog uses SSH for Linux. This means Monyog can collect all monitoring data by using remote connections. This is a huge advantage that sets Monyog apart from all other MySQL monitoring and advisory tools because it doesn’t force you to install any components on your MySQL servers, making it totally unobtrusive. It utilizes no CPU cycles or memory on servers, leaving them free to do what they were meant to do.

– Database journal

Monyog perfectly monitored our MariaDB Galera Cluster and indicated the main cause of the issues our systems were experiencing through monitoring of deadlocks. All of the deadlocks affected the table where the document positions were stored, and these deadlocks were what caused some of the update statements to fail.

Stefan Schiele – CEO, SCT Schiele Read the SCT Schiele customer story

I have used MySQL Enterprise Monitor for a year and a half, and although some believe its a superior product, its 5K per server per year for the Enterprise version. I just started using Monyog a month ago, and purchased it today. I bought the Unlimited Pack and that is a perpetual license for an unlimited amount of servers. It gives me all the monitoring I need and without an agent installed on the MySQL server. That makes the sys-admins I work with very happy. My prefered feature is the log analyzer. It makes analysing the slow-query-log and the general-log really easy and efficient. Cool product, check it out if you can.

Christos Kalantzis – Senior DBA/System Administrator, Hightail (Previously called YouSendIt.com)

From a legislative perspective, we are bound to host each customer’s database on its own server (virtual). As such, we are, at any point in time, monitoring 20+ servers. Looking at a number of tools, including ManageEngine and a number of open source alternatives, we opted for Monyog for its simplicity, ease of config, and relatively affordable price-tag. Monyog is a complete MySQL monitoring system with early-warning mechanisms.

Liam Terblanche – CTO, Airvantage Read the Airvantage customer story

Monyog is a lightweight, agentless monitoring system that takes a different approach from the tools previously mentioned. It is designed to run on a desktop system, where it starts an HTTP listener on an unused port. You can point your browser at this port to see information on your MySQL servers, rendered by a combination of JavaScript and Flash. The underlying implementation uses a JavaScript engine, and all configuration is done via a JavaScript object model. Monyog is actually both interactive and noninteractive, so you might want to examine its capabilities for both kinds of monitoring.

High Performance MySQL, 2nd Edition – O’Reilly

Monyog is reasonable, it was easy to setup and it is very useful for effective monitoring. Monyog cuts through the noise and helps us identify the key MySQL performance metrics that bear an impact on our database performance. It’s important for my team to be on top of MySQL database performance. Monyog seamlessly helps them in their roles by gathering past as well as real-time insights for greater effectiveness.

JaiKwang Lee – Product Guild & DevOps leader , NBT, Inc Read the NBT, Inc customer story

Soon after downloading Monyog I had setup 63 DB servers for 27 clients in about 2 hours. Today, I have dealt with a client that has 2 DB Servers, 1 MySQL Instance on DB1 and 3 MySQL Instances set up as read slaves all converted to all MyISAM. I was able to monitor when the client restarted apache and dropped hundreds of DB Connections that the client’s app was not releasing. I was able to see spikes in DB Connection requests. I ran the Query Analyzer on the PROCESSLIST that accurately showed nice query profiles. I was able to rule out certain MySQL gotchas in favor of suspecting the client’s app of spawning new DB Connections and not properly closing web pages. All of this while on the phone with the Client. I called over my Company’s owner, and two of my supervisor’s and another Linux engineer and had them look at the graphs I was using to monitor the client. They like the product very much. I’ve only had this product 6 days and have tripled/quadrupled my productivity today. This is a truly a “MySQL DBA out the box” software solution.

Rolando Edwards – MySQL DBA (SCMDBA), LogicWorks

We needed a way to gather, store, and analyze historical query data in order to identify slow queries and deadlocks across 1700 customer sites that were spread across 70 database servers. We also were looking for an easy to understand UI to give access and insight to our customer support staff and operations teams none of whom are formally trained as DBA’s.

Miguel Santos – Manager of Technical Operations, Moodlerooms Read the Moodlerooms customer story

Monyog is the best out-of-the-box GUI monitoring tool for MySQL that I have seen. It “just works.” As promised, getting up and running quickly is easy, and having a centralized location for monitoring is very useful. The graphs are beautiful and the statistics that are graphed are useful time-savers.

The biggest difference between MySQL’s Enterprise Monitor and Monyog is that Monyog is agentless. At Pythian, we have many clients with differing security requirements. Requiring a daemon process to be running is not something we currently do, and it might be a hard sell for some clients. Even if every client was amenable to it, making sure the daemon is up and running on each MySQL server is tedious. Note that agentless operation works for every feature, including log analysis as well as operating system statistics.

Sheeri Cabral – The Pythian Group

We needed a monitoring tool that spots problems in less time and helps us focus on improving and sustaining the performance of our MySQL database servers. Monyog made it easy to monitor the health status of our MySQL database servers to keep up with the production demands and reduce downtime.

Yuji Tajima – Lead – System Planning, Partner Agent, Inc. Read the NBT, Inc customer story

Monyog has literally taken the guess work out of managing our MySQL replicated cluster! Thank you Webyog!

Matt McAlister – Managing Director, MSoft eSolutions Ltd

Monitoring downtime and performance tuning is paramount for a product that enables end users to run their own copy of tickets and their database thereby eliminating bad user experience.

Kevin Bednar – Server Manager, TicketsCAD Read the TicketsCAD customer story

We are an IT Consulting Company that supports many clients with data intensive applications and it is extremely crucial for us to store and secure data of our customers/ clients through managing large databases to ensure a seamless user experience.

Monyog has greatly assisted in the monitoring of our MySQL database servers. We primarily use it for our Point-Of-Sale system where we have several database servers running 24/7. With Monyog, we have the ability to refresh the processlist every second to see if at any point one or more servers are overloaded.

The sniffer mode allows the team to get information of User & Host for a query that is getting executed which is otherwise not possible with Performance Schema. This simplified the entire process for monitoring each query and finding the count of a query which is being executed, total time for which the query is running, and so on.

When we detect an issue, it makes for a quick response to remove the offending server from the cluster. We plan to use Monyog MySQL monitor for this feature for many more years.

Mike Rabius – CIO, Communications Solutions