I had been waiting for a long time to publish some posts about Telegraf and some wonders we can do. In this simple document we will see how we can collect performance metrics from a Raspberry Pi and display them in real time with Grafana!
In this post we are going to try to collect certain metrics from Fortigate, if we have this fabulous UTM firewall (or now called Next-Generation Firewall) we will be able to obtain this data through SNMP and visualize it in real time, thanks to Telegraf, InfluxDB and Grafana, It's a great thing!
At the gates of summer, what better than to have a relaxed chat with my colleague Federico Cinalli, This time it's time to talk about storage in general, We will take a look at the solutions we have today from the retro era. We will talk of course about disks and software, of its evolution and the options that we can find; all aimed at any market, From small environments to critical environments, where in addition to good performance high availability is necessary.
In this post we will see how to monitor our Fortigate firewalls from a Centreon or Nagios or whatever we have 🙂. We will do it through SNMP queries and we will be able to know the status of its chassis at all times, the status of the cluster if we have one, the use and consumption of network interfaces, if we have VPNs the same, know if they fall, The sessions, etc, etc… if you have a Fortigate, This is your post!
I'm going to put this post because of all the requests I've been receiving on how to monitor a Linux server. As obviously depends on the distribution, today we have an example with a Debian and more specifically we will see it on a Raspberry Pi that carries Raspbian. We'll monitor basic metrics like CPU, RAM, Swap Memory, Disks, Network Traffic, Uptime… And in the end we will see something very interesting!
En este documento veremos dos formas de optimizar nuestras granjas de XenApp mediante un par de directivas de Citrix, la Administración del uso de CPU e implementando la optimización de la memoria virtual. Con la primera administraremos el uso de la CPU donde podremos administrar el % de uso compartido por usuario para evitar que los consumos altos de CPU afecten al resto de usuarios consiguiendo además una mayor capacidad por servidor. Optimizando la memoria virtual mejoraremos el uso compartido de ficheros DLL entre las aplicaciones que se ejecutan, ahorrando ambas memorias (virtual y real).
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