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Displaying posts with tag: MONyog (reset)
Slack & Pagerduty Integration with Monyog v8.4.0

Important notice: With this release, we have changed the registration keys. As usual, the new keys are available for registered users from our Customer Portal.

Monyog MySQL Monitor v8.4.0 adds more alert and logging options and enhances the MONyog API. Further, we redesigned the settings page and a number of bugs were fixed.

Changes as compared to Monyog MySQL Monitor v8.3.2 include: Features:

Added more notification channels (Slack and Pagerduty) for Monyog alerts. (Read more) Option to write Monyog alerts in the Syslog of the machine where Monyog is installed. This option is only available for Linux. Option to edit the subject line for Monyog alerts. Added MONyog API to disable notification for a monitor based on a server/tag. ( …

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Monitoring RDS MySQL Performance Metrics

Amazon Web Services (AWS) is a cloud platform that offers a wide variety of services including computing power, database storage, content delivery and other functionality that targets businesses of all sizes. One of their database solutions includes the Amazon Relational Database Service. Amazon RDS includes a number of popular RDBMSes, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server, as well as tools to manage your databases and monitor their performance.

Despite the wide range of metrics available within the Amazon RDS console, there are some very good reasons for using your own monitoring tool(s) instead or in addition to those offered by Amazon RDS. For example, familiarity with your own tool(s) or access to features that Amazon RDS does not provide would constitute two persuasive reasons for employing a local tool.

With traditional software monitoring platforms such as Monyog still enjoying …

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Webinar Highlights: What’s New in Monyog & Roadmap Update

Thank you everyone who attended our webinar on “What’s new in Monyog & Roadmap update”.

In this webinar, Shree Nair, Product Manager at Webyog demonstrated the various features introduced in Monyog since v8.1.0. Moreover, Shree showcased a number of scenarios on how to align the new features per use case.

Here’s the complete video for all those who couldn’t attend the webinar.


Summary of the top features discussed in the webinar: Set distinct email distribution list for warning and critical alerts

Monyog allows users to specify separate recipients depending on the state of the alert, i.e., critical, warning or others. The critical alerts such as server going down, slave not running can be sent to the on-call DBAs while other warning alerts can be sent to members of the team.

Trend Graph Analysis

Trend graph analysis makes it easier to compare the state and …

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Webinar: What’s New in Monyog & Roadmap Update

Join Shree Nair, Product Manager at Webyog, as he demonstrates the new features introduced in the recent Monyog releases and rolls out the roadmap for the upcoming releases.

Date & Time: Tuesday, Nov 21, 2017 at 11:00 am EDT / 5:00 pm CET.

Register Now!

What to expect from the webinar?

You will have a better understanding of how to use the new features per your use-case. You will learn about the product roadmap. You can take part in Q&A session and submit your feature requests too.

If you can’t attend this webinar live, register anyway and we’ll send you a link to the recording.

You can download a free trial of Monyog …

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Top Performance Metrics to Monitor on MySQL (Connections & Buffer Pool Usage)

As a DBA, your top priority is to keep your databases and dependent applications running smoothly at all times. To this end, your best weapon is judicious monitoring of key performance metrics. In a perfect world, you’d want to be up-to-date regarding every aspect of your database’s activity – i.e. how many events occurred, how big they were, precisely when they happened and how long they took.

There certainly is no shortage of tools that can monitor resource consumption, provide instantaneous status snapshots, and generate wait analysis and graphs. The challenge is that some metrics can be expensive to measure, and, perhaps even more importantly, they can require a lot of work to analyze.

The purpose of Part-2 of the blog series is to narrow down the field to those performance metrics that provide the most value for the effort as well as present some tangible ways to capture and study them. It is by tracking the most useful …

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Monyog MySQL Monitor v8.3.0: Introducing Trend Graph Analysis

Monyog MySQL Monitor v8.3.0 is a feature-rich release which adds a large number of user requests for quick access to relevant monitoring information, for ‘cross-plotting’ multiple servers in a unified chart and more.  Additionally, it adds a number of non-critical bug fixes.

Changes as compared to Monyog MySQL Monitor v8.2.0 include: Features:

Added option to set a distinct email distribution list for warning alerts and critical alerts. Trend Graph Analysis: Added option to group a single metric (which one you find most important) from different servers into one unified chart. This allows you to visually analyse a metric across servers at various points in time.

Choose the monitor group >> Click on the trend graph icon next to the metric as shown below.

Select the trend graph corresponding to the required metric

Monitor single metric across …

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Top Performance Metrics to Monitor on MySQL

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
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“Quick issue detection and excellent customer support”: Stefan Schiele

Stefan Schiele, CEO, SCT Schiele talks about how Monyog helped them run mission-critical applications smoothly and without errors.

SCT Schiele are specialists in e-commerce solutions in the B2B market. The company provides deep integrations into the merchandise business, thus enabling large clientele to increase their e-commerce revenue.

Enabling e-commerce

Today, every customer expects the websites to load faster and applications to run without lag.  When your applications perform poorly, your customers notice immediately. As Stefan Schiele puts it – “Nowadays everyone expects e-commerce systems to be available 24/7. Without continuous monitoring, this is simply unachievable.”

SCT Schiele data centre has a number of own production servers and servers on which their customers run & operate services; the company currently uses Oracle, InterSystems Caché, MySQL and MariaDB databases. …

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Troubleshooting MySQL Performance Issues

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 …

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Monitoring MySQL Problematic Queries

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 …

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