Amazon RDS Performance Insights vs. Nagios Core

When you need to monitor your database at low level metrics such as query load or CPU usage at some point in time. You can also use it to understand which component is a heavy load on your DB. It is a great tool for routine monitoring of your DB and to help plan for capacity. I would not use it as an exclusive source for scaling your DB though since the is not long-term or very granular data to be able to run a thorough analysis on peaks of predictive analysis.

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Nagios monitoring is well suited for any mission critical application that requires per/second (or minute) monitoring. This would probably include even a shuttle launch. As Nagios was built around Linux, most (85%) plugins are Linux based, therefore its more suitable for a Linux environment.

As Nagios (and dependent components) requires complex configurations & compilations, an experienced Linux engineer would be needed to install all relevant components.

Any company that has hundreds (or thousands) of servers & services to monitor would require a stable monitoring solution like Nagios. I have seen Nagios used in extremely mediocre ways, but the core power lies when its fully configured with all remaining open-source components (i.e. MySQL, Grafana, NRDP etc). Nagios in the hands of an experienced Linux engineer can transform the organizations monitoring by taking preventative measures before a disaster strikes.

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• RDS Infrastructure Metrics
• RDS Logical Metrics
• Real time visualization of query load
• Identify Performance Bottlenecks
• Historical Performance Analysis of load

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• Monitoring of services is one of the biggest benefits for our company. Being able to respond in a timely fashion keeps business smooth.
• Hardware and device monitoring are easy to set up with proper parameters.
• Notification to key staff to be able to respond quickly makes issues go away faster.

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• Easier way to identify to which service the query comes from
• Easier way to identify correlation between metrics
• More customization, right now it is too restricted
• The interval could be smaller between data points for peaks of usage

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• Nagios could use core improvements in HA, though, Nagios itself recommends monitoring itself with just another Nagios installation, which has worked fine for us. Given its stability, and this work-around, a minor need.
• Nagios could also use improvements, feature wise, to the web gui. There is a lot in Nagios XI which I felt were almost excluded intentionally from the core project. Given the core functionality, a minor need. We have moved admin facing alerts to appear as though they originate from a different service to make interacting with alerts more practical.

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We're currently looking to combine a bunch of our network montioring solutions into a single platform. Running multiple unique solutions for monitoring, data collection, compliance reporting etc has become a lot to manage.

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The Nagios UI is in need of a complete overhaul. Nice graphics and trendy fonts are easy on the eyes, but the menu system is dated, the lack of built in graphing support is confusing, and the learning curve for a new user is too steep.

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I haven't had to use support very often, but when I have, it has been effective in helping to accomplish our goals. Since Nagios has been very popular for a long time, there is also a very large user base from which to learn from and help you get your questions answered.

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Amazon RDS Performance Insights is a out of the box plug and use solution for AWS with a press of a button, whereas Prometheus would require a lot of configuration and deployment and the learning curve is slower, making it not so user friendly. Datadog on the other hand offers similar capabilities but at a much higher cost. With that in mind, Amazon RDS Performance Insights is the choice to integrate with your AWS services quickly and affordably.

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Because we get all we required in Nagios [Core] and for npm, we have to do lots of configuration as it is not as easy as Comair to Nagios [Core]. On npm UI, there is lots of data, so we are not able to track exact data for analysis, which is why we use Nagios [Core].

• Help Optimize Query and app performance
• Help better plan capacity for the DB
• Improved the company capacity on troubleshooting problems in DBs

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• With it being a free tool, there is no cost associated with it, so it's very valuable to an organization to get something that is so great and widely used for free.
• You can set up as many alerts as you want without incurring any fees.

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