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 terms of being able to easily add execution and parsing plugins.
The interface and behavior of M3 stayed exactly the same, however now it is much easier to obtain data from any source and parse the data the way you want it.
Saying that, it was time to put the new design for a test. We tried to integrate the DBI support into M3.
Guess what – it was much easier than expected!

Cassandra is a robust and highly scalable NoSQL datastore that usually consists of multiple nodes spread out across multiple datacenters.  If you are the system administrator for a large Cassandra deployment then you might be curious as to how your cluster is doing.  In fact your job probably depends on it!  So how can you combine a great service like Monitis with Cassandra to make sure you cluster is buzzing along smoothly?

M3 (Monitis Monitor Manager) framework usage and examples were outlined in a few previous articles:
M3 – introduction
Planning your vacation / HTTP extraction
However we’ve never explained the bits and bytes behind it and what was the initial motivation for implementing it.
This article will outline the motivation, design, implementation and perhaps also the future road map for M3.
Rereading my previous articles I realized that I generated a somewhat steep learning curve for using M3 with the complex examples provided, just because M3 can handle these complex scenarios.
However M3 was created in order to simplify things. I’m going to use an extremely simple example in the following article to explain the way M3 works this time, I promise!

Linux, Apache, MySQL and PHP — altogether they mean LAMP. I’m not talking about watts and bulbs.

And if you desire is for a comprehensive, robust server, your IT infrastructure has to include all of these systems.

Monitis has put together a checklist of 101 actions you can take to maximize security around LAMP.  Hopefully we’re shedding a little light around this issue for you to give you some new ideas on how to make administering your system easier — so that, in turn, you can focus on more strategic tasks. You can find previous posts about increasing security around Linux and Apache, but, in today’s post, we’ll offer tips on LAMP security around MySQL — a powerful open-source database.

Monitoring MongoDB is very similar to monitoring a normal relational database.  If it’s on its own machine then you need to care about things like how much CPU it’s taking up, how much RAM, how fast are the disks etc.   If Mongo starts grinding on any of your core compute resources then guess what, you’ve got a problem!

A good Database Administrator, which hopefully we all aspire to be, needs to monitor more then just the basics.  A good Database Administrator needs to monitor the actual database.  Not to mention in many cases especially with Mongo you will need to monitor a cluster of databases, not just one instance.  You’re in luck with Mongo, because fortunately the folks at 10gen, the makers of MongoDB, have written some excellent documentation for how to properly administer and performance tune MongoDB.

Sometimes, a basic understanding of how a program works just isn’t satisfying. While it is nice to understand how our logger operates, syslog-ng doesn’t start getting interesting until we start playing with some of the more advanced features it has to offer. So, let’s jump in.

Apache and syslog-ng

While logging to a database back-end has its benefits, the setup as it stands leaves us wanting. Some applications, such as Apache, do not log via syslog-ng by default. The good news is that this can be easily remedied, and there are a couple of different ways of doing this. First, the less good way:

MySQL Tuning

This is another section that is broader than one would first imagine.  There’s a reason that many large organizations employ dedicated database administrators.  That said, this doesn’t prevent the average sysadmin from making some changes to enhance performance on their database.

Giving out free advice is getting to be an old tradition here at Monitis. We’ve been running blog posts offering advice and guidance on everything from Apache LAMP security, everything you wanted to know about monitoring MS SQL server data with VBScript, to monitoring Windows Log files via Powershell.

Today, we’ll tackle how to maximize your experience with Microsoft SQL Server.