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Showing entries 1 to 22

Displaying posts with tag: MySQL monitoring (reset)

E-commerce – Uptime and Web apps are the keys
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Since 2011 e-commerce has grown from $856,000,000.00 to closing out 2013 at more than $1,248,000,000,000.00 in global revenues, a nearly 41% growth rate over a two year span. The forecast for 2014  is targeted at $1,500,000,000,000.00, another 20% increase is gross revenues (see chart below). With trillions of dollars in play year on year now, and astounding revenue growth rates still ahead, it is critical that any e-commerce site be diligently monitoring not just their website uptime, but more importantly their Web applications. Obviously it is critical that your customers be able to get to your website, but if it doesn’t build fast and complete client requests and transactions even faster then

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Missed Any of our Changes Over The Last Three Months?
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Here at Monitis, we’re on a mission to not only build the best product but also, at the same time, make it more user-friendly. We listen to your feedback and suggestions and take various steps to improve our services, tools and features to make YOUR life easier. In any given week, you can see a new feature or update in your Monitis dashboard. Here’s some of the stuff we’ve added since our last newsletter, three months ago. Stay-up-to-date and see all that we have to offer by reading about all our changes below:

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The InnoDB Quick Reference Guide is now available
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I’m pleased to announce that my first book, the InnoDB Quick Reference Guide, is now available from Packt Publishing and you can download it by clicking here. It covers the most common topics of InnoDB usage in the enterprise, including: general overview of its use and benefits, detailed explanation of seventeen static variables and seven dynamic variables, load testing methodology, maintenance and monitoring, as well as troubleshooting and useful analytics for the engine. The current version of MySQL ships with InnoDB as the default table engine, so whether you program your MySQL enabled applications with PHP, Python, Perl or otherwise, you’ll likely benefit from this

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Bash scripting: ElasticSearch and Kibana init.d scripts
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As a follow up to the previous post about logstash, here are a couple of related init scripts for anyone implementing the OpenSource Log Analytics setup that is explained over at divisionbyzero. These have been tested on CentOS 6.3 and are based on generic RC functions from Redhat so they will work with Redhat, CentOS, Fedora, Scientific Linux, etc.

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The “Big Data” buzzword finally gets a real definition
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We’ve all heard the term “Big Data” thrown around a fair amount in the last several years ever since the rise of Hadoop and other distributed storage methods. But defining “Big Data” has always been a subjective term that hinges on perspective; what one engineer considers big can be vastly different than another’s.

However, there’s finally a definite description that says Big Data no matter what perspective you operate from: “That facility by my calculations that I submitted to the court for the Electronic Frontiers Foundation against NSA would hold on the order of 5 zettabytes of data. Just that current storage capacity is being advertised on the web that you can buy. And that’s not talking about what they have in the near future.” You can read more about the facility and its purpose here:

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It’s the Hardware, idiot! Increasing MySQL Performance
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MySQL performance can be increased in two ways, software optimization and hardware upgrades. While the previous articles have covered much of the software side of performance optimization, we are now going to focus on the hardware aspect.

Does hardware help boost performance?

Like software optimization, hardware upgrades for MySQL systems are based upon set goals for an organisation. The question is not what hardware would work best; rather a question of what hardware will help the organisation achieve an X goal. The answer is yes, hardware does boost performance, but there are a few  [Read more...]
New Monitis MySQL Monitoring Tool’s Video
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MySQL is the world’s most popular open-source database and platform for millions of web applications – it’s critical but cumbersome to monitor.

Monitis’ MySQL monitoring provides three key benefits:

Insight
» 246 potential monitoring variables
» 21 aggregated, percentage-based metrics
» Adjustable thresholds to separate real issues from false alarms

Control

» Monitor entire IT universe from one dashboard
» Quick diagnosis & root cause detection

Simplicity
» Cloud-based means no need to install, update or maintain it
» Leaves you time to focus on more important things

For a FREE trial, go to:

https://www.monitis.com/free_signup.jsp

New! Cloud-based MySQL Database Monitoring from Monitis
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New feature provides significantly faster insight and root cause analysis

SAN JOSE, Calif., February, 15, 2012Monitis, the leading cloud and web application monitoring software provider, today announces that it has added comprehensive MySQL database monitoring to its award-winning Application Performance Management & Monitoring platform. The robust Software-as-a-Service (SaaS) tool enables users to gain significantly faster insight when conducting root cause analysis.

The MySQL monitoring feature includes 246 monitoring variables and more than 21 different metrics to provide one of the easiest to use, yet comprehensive database monitoring tools

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M3 code refactor & DBI support
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Pluggable M3 (Monitis Monitor Manager) Framework

Who needs an introduction about M3? – Perhaps no one!
After gaining some reputation with M3, providing extra-easy integration of any monitor into Monitis it was time to take it to the next level.

Generally speaking, the work flow of M3 was described in detail in this article.

After some thought and design, we’ve decided it’d be best if M3 was pluggable. Pluggable in


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MySQL Database Monitoring Best Practices
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The MySQL database is a crucial part of a wide variety of products, particularly web applications. Naturally, it is very important to monitor the health status of MySQL.  However, there is constant disagreement on which of the many MySQL status variables provide the best overview on MySQL health status and indicate that something is not right with a server.

It certainly depends on what your application does – tuning read performance is different than optimizing write operations and everything changes when you have a cluster. The average user can use small subset of variables while advanced user want to get more detailed picture of the situation. So there cannot be one set of “magic variables” to quietly optimize every situation. However, it is possible to have

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Summary of Blog Posts for Week of June 25
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We make a lot of posts that give IT tips and advice, as well as recommendations on how to use Monitis, so here is a summary of the posts for this week in case you missed them.

Monitoring IIS With VBScript via Monitis; It’s so Easy!

This post demonstrates how to monitor an IIS using Monitis Custom Monitors and VBscript. You can use the Monitis API to monitor your own custom metrics. This is very powerful because it lets you monitor any IIS metrics you like, set thresholds and receive notifications.

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MySQL Monitoring – What’s really needed
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The implementation of MySQL Monitoring is critical for any organization that uses a database and wants to avoid the inevitable disaster. There are 3 important components that all serve a key purpose to “MySQL Monitoring” in general:

  • Monitoring – Historical and graphical information
  • Alerting – Tell me when something is wrong
  • Dashboard – The State of NOW

Monitoring

There is no one option for Monitoring that is significantly better then another. A short list of what’s on offer can be found at http://monitoring-mysql.com/monitoring-products. What’s important is you have monitoring in place so historically you can review situations and compare across your servers and enabling the better identification of physical or

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Monitoring MySQL with MONyog
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It just works. In absence of any MySQL monitoring for your site, I have found no solution that gets you operational as quickly and easily. MONyog can be deployed in 60 seconds, and configured in another 60 seconds. Within 5 minutes you can have visual monitoring of your MySQL environment.

MONyog is an agentless process, which is an advantage for easy install, but does not provide for monitoring redundancy in the capture of information due to agentless nature. It’s a static standalone executable which is great if you need something to work out of the box. You can easily configure multiple servers in a replication topology, or different servers in your environment. You get the ability to monitor all the usual information, with a dashboard and detailed graphs. While MONyog does provide customizations of rules for the graphs and

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Monitoring MySQL Product Options
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I’ve had plenty of comments on specific products to Monitoring MySQL Options before providing the completed list. Here are the results from my survey to give everybody a more complete list.

Nagios 25 xxxxxxxxxxxxxxxxxxxxxxxxx MONyog 8 xxxxxxxx Cacti 4 xxxx Munin 3 xxx MySQL Enterprise Monitor/Merlin 3 xxx   [Read more...]
Monitoring MySQL options
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My recent poll What alert monitoring do you use? showed 25% of the 58 respondents to bravely state they had no MySQL monitoring. I see 1 in 3, ~33% in my consulting so this is consistent.


There is no excuse to not have some MySQL Monitoring on your production system. At the worse case, you should be logging important MySQL information for later analysis. I use my own Logging and Analyzing scripts on every client for an immediate assessment regardless of what’s available. I combine that with my modified statpack to give me immediate text based analysis,

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What do you monitor in MySQL?
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If you are unfamiliar with what to monitor in MySQL, starting with looking at what popular Monitoring products monitor. For example, the following is the list of MySQL Cacti Plugin measurements.

Innodb Buffer Pool Activity

  • Pages Created
  • Pages Written
  • Pages Read

Innodb Buffer Pool Pages

  • Pool Size
  • Database Pages
  • Free Pages
  • Modified Pages

Inoodb File I/O

  • File Reads
  • Files Writes
  • Log Writes
  • File Fsyncs

Innodb Pending I/O

  • Aio Log Ios
  • Aio Sync ios
  • Buffer Pool Flushes
  • Chkp Writes
  • Ibuf Aio Reads
  • Log Flushes
  • Log Writes
  • Normal Aio Reads
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HoneyMonitor v.1.0.16-beta released!
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We are pleased to announce the release 1.0.16 of HoneyMonitor, our GUI for MySQL™ administration and monitoring.

In this release, available for immediate download, we have fixed many bugs and included several improvements.

We are working to release a RC version as soon as possible.

The following is the list of changes:

  • New Features:
    • new Tab “Defaults Folders” in the “HoneyMonitor Options” Window to set the default
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Monitoring MySQL
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The slides for my Monitoring MySQL talk , which I gave earlier today in an overcrowded MySQl Developersroom at Fosdem are now online, both at my site and at Slideshare

As of now I actually expect people to use those slides for schoolwork or next year in a main Fosdem track :)
As afterall that is the goal of Open Source and spreading the word ..

MySQL Monitoring Shoot Out View more presentations from Kris Buytaert. (tags: mysql monitor)
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HoneyMonitor v.1.0.15 released!
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We are pleased to announce the release 1.0.15 of HoneyMonitor, our GUI for MySQL™ administration and monitoring.

In this release, available for immediate download, we have fixed some bugs without adding many new features.

We are working to release a RC version as soon as possible.

The following is the list of changes:

- New Features:

  • new menu entry Auditing / Reports / Edit Report’s Template / Custom Report.
  • - Improvements:

  • minor bugs fix

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    Step by Step Guide on How to Create a Customized Performance Report using HoneyMonitor
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    Reading this article you will learn how to create a Customized Performance Report for one of your MySQL™ Servers using HoneyMonitor, a GUI for MySQL™ Server Administration, Monitoring & Performance Tuning.

    Contents

    • Introduction
    • Step 1 - Choosing a File Name and Opening the Report Designer
    • Step 2 - Editing the SQL Queries used by the Report
    • Step 3 - Editing the Charts contained in the Report
      • Axis
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    MySQL: How do you install innotop to monitor innodb in real time?
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    Innotop is a very useful tool to monitor innodb information in real time. This tool is written by Baron Schwartz who is also an author of “High Performance MySQL, Second edition” book. [Side note: I highly recommend getting this book when it comes out (in June, 08?). Other authors include: Peter Zaitsev, Jeremy Zawodny, Arjen Lentz, Vadim Tkachenko and Derek J. Balling.] Quick summary of what innotop can monitor (from: http://innotop.sourceforge.net/): InnoDB transactions and internals, queries and processes, deadlocks, foreign key errors, replication status, system variables and status and much more.

    Following are the instructions on how to install innotop on CentOS x64/Fedora/RHEL (Redhat enterprise). Most probably same instructions can be used on all flavors of Linux. If not, leave me a comment and I will research a solution for you. Let us start with downloading

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    What?s the best way to choose graph colors?
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    I have an issue I hope someone can help me with. I am generating RRDtool graphs (for Cacti monitoring templates for MySQL, which I’ll release soon) that have up to 11 different metrics on them. With that many lines or areas on a graph, it becomes very hard to pick colors that are easy to see and easy to distinguish from each other. What’s a good way to choose such colors? Is there a way to do it automatically — is there a formal method that will produce good results?

    I know some color theory and I have read about how you can distinguish colors from each other (hue, value etc). But I am unsure the best way to choose this many colors. Trying by hand produces garish results or graphs that are just hard to read.

    My first

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    Showing entries 1 to 22

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