[Prometheus][prometheus] is a popular monitoring tool based on time series data. One of the strengths of Prometheus is its deep integration with [Kubernetes][kubernetes]. Kubernetes components provide Prometheus metrics out of the box, and Prometheus’s service discovery integrates well with dynamic deployments in Kubernetes.

There are multiple ways how to set up Prometheus in a Kubernetes cluster. There’s an official [Prometheus Docker image][promdock], so you could use that and create the Kubernetes YAML files from scratch (which according to Joe Beda is [not totally crazy][crazy]). There is also a [helm chart][helmchart]. And there is the [Prometheus Operator][promop], which is built on top of the CoreOS [operator framework][operator].

This blog post shows how to get the [Prometheus Operator][promop] up and running in a Kubernetes cluster set up with [kubeadm][kubeadm]. We use [Ansible][ansible] to automate the deployment.

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There are a lot of articles that show how to monitor an OpenShift cluster (including the monitoring of Nodes and the underlying hardware) with Prometheus running in the same OpenShift cluster. This article however is based on a different scenario: You are responsible for an application on an OpenShift cluster and want to monitor just this application, but you don’t have any administrative permission on it. The reason for this can be that you are working in a big company where the operation of the OpenShift environment is outsourced or the process to introduce a new monitoring solution takes way too long or the current monitoring solution doesn’t match your requirements and so on.

In this article I’m going to show you how to setup the monitoring of a demo application in 6 easy steps. The example is built in that manner that it will be easy for you to do the same for your application. A side note: If the OpenShift cluster that you are using will be monitored in the future with a different Prometheus setup, you don’t need to start from scratch. You might need to tweak the configuration of your scraping a bit and you need to move your dashboard to a different Grafana but that should be it.

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Kurz vor Ende des Jahres sind die Vortragsvideos der OSMC 2016 online verfügbar. Auch dieses Jahr war ich wieder Referent, diesmal mit einem Überblick über die letzten Entwicklungen von OMD, einige Umgebungen, in denen es eingesetzt wird und dem Ausblick auf das, was nach 2016 in die Distribution einfließen könnte.
Dauer des Videos: 60min.

OMD, die Open Monitoring Distribution, bildet heute in vielen Unternehmen das Rückgrat bei der Überwachung unterschiedlichster IT-Komponenten und Services. Für Anfänger ist OMD ein umfassendes Starterpaket, für Consultants eine solide Plattform für individuelle Monitoring-Landschaften. Seit dem Gründungsjahr 2010 wurde OMD kontinuierlich verbessert, mit der OMD-Labs-Edition wurden 2015 moderne Elemente wie InfluxDB und Grafana eingeführt. Das Thema Automatisierung wurde mittlerweile mit Ansible und Coshsh ebenso aufgegriffen. Der Wandel der IT-Welt in Richtung cloud-basierter Services und kurzlebigen Containern stellt eine besondere Herausforderung dar. Der Vortrag zeigt, wie OMD sich dieser in Zukunft stellen wird.

For FOSDEM 2017, there are two DevRooms where ConSol employees are among the organizers.

• Monitoring and Cloud Devroom
• Containers and Microservices Devroom

Accordingly, the two devrooms have combined CfPs, so that you can submit your container cloud talk in just one place. These devrooms are interested in talks about:

• Monitoring containerized services
• Automating cloud deployments
• Developing and administering microservices
• Container orchestration
• Continuous Integration & Deployment
• Prometheus, Kubernetes, Docker, CRIO, etc.
• New projects and technology
• Other container and cloud native talks

Submit Talk Proposals by November 26th on our CfP Page:

https://goo.gl/forms/bbfCH14ido5kMD4H3