#Python linux process monitor how to#
#Python linux process monitor install#
#Python linux process monitor full#
#Python linux process monitor series#

In order to install Pushgateway, run a simple wget command to get the latest binaries available. Now that you have a better idea of what’s going on in our application, let’s install the different tools needed. This is why we have to use the Pushgateway designed for short-lived jobs, Pushgateway will cache metrics received from the script and expose them to Prometheus. In our case, the bash script has a very tiny lifespan and it doesn’t expose any HTTP instance for Prometheus. Grafana: a dashboard monitoring tool that retrieves data from Prometheus via PromQL queries and plot them.įor those who are quite familiar with Prometheus, you already know that Prometheus scraps metrics exposed by HTTP instances and stores them.Prometheus will scrape Pushgateway as a target in order to retrieve and store metrics

#Python linux process monitor series#

Prometheus:, that instantiates a time series database used to store metrics.

Pushgateway: a metrics cache used by individual scripts as a target.

A bash script used to send periodically metrics to the Pushgateway.

Our architecture makes use of four different components: The detailed architecture we are going to use today is this one: Those are the points we will keep in mind throughout this tutorial.

Scalable : if we were to monitor another host, we can do it quickly and efficiently.

Simple to put in place : a solution that doesn’t require a lot of time to instantiate.

Resource cheap : i.e not consuming many resources on our host.

Now that you know why we want to build this dashboard, let’s have a look at the architecture put in place in order to build it.īefore having a look at the architecture that we are going to use, we want to use a solution that is: With a monitoring dashboard, you can simply go back in time and see which process was causing the issue. You would have to dig into kernel logs to see what has been killed. In this case, running a top command would give you zero information as it would be too late for you to catch who’s causing performance issues on your system. The main reason would be system availability: in case of a system overload, you may have no physical or remote access to your instance.īy externalizing process monitoring, you can analyze what’s causing the outage without accessing the machine.Īnother reason is that processes get created and killed all the time, often by the kernel itself. Knowing that those two commands exist, why would we want to build yet another way to monitor processes? Htop also provides gauges that reflects current system usage.

Htop provides the same set of functionalities (CPU, memory, uptime.) as top but in a colorful and pleasant way. The top command is already pretty readable, but there is a command that makes everything even more readable than that: htop. This command is widely used among sysadmins and is probably the first command run when a performance bottleneck is detected on a system (if you can access it of course!)

#Python linux process monitor full#

Top provides a full overview of performance metrics on your system such as the current CPU usage, the current memory usage as well as metrics for individual processes. When it comes to process monitoring for Unix systems, you have multiple options. Now that we have an overview of everything that we are going to learn, and without further due, let’s have an introduction on what’s currently existing for Unix systems. Bonus : implementing ad-hoc filters to track individual processes or instances.Build a complete Grafana dashboard including the latest panels available such as the ‘Gauge’ and the ‘Bar Gauge’.Build a simple bash script that exports metrics to Pushgateway.

#Python linux process monitor how to#

Learn how to install the latest versions of Prometheus v2.9.2, Pushgateway v0.8.0 and Grafana v6.2.

Understanding current state-of-the-art ways to monitor process performance on Unix systems.

Bonus : explore data using ad hoc filtersīefore jumping right into this technical journey, let’s have a quick look at everything that you are going to learn by reading this article:.

a – Retrieving the current overall CPU usage.

Building An Awesome Dashboard With Grafana.

Building a bash script to retrieve metrics.