John Willis

In case you missed it, we launched Dockercast, the official Docker Podcast earlier this month including all the DockerCon 2016 sessions available as podcast episodes. In this podcast we talk to Ilan Rabinovitch the Director of Technical Community at Datadog.  I first met Ilan back at SCALE8X (Southern California Linux Expo) 6 years ago.  Ilan has been running SCALE since it’s inception. As Ilan points out in the podcast, our very own Jérôme Petazzoni packed the house back at SCALE11x (2013).  At Datadog Ilan has been working with the Docker community on monitoring containers and developing what Datadog calls their Monitoring-as-a-Service…

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Peter Salvatore

Monitoring solutions for Docker containers Software applications are changing, and by extension, so are the requirements of application monitoring systems. Docker enables developers to iterate faster with software architectures consisting of many small and isolated microservices. This poses a challenge to traditional monitoring solutions as the target processes are no longer statically allocated or tied to particular hosts. Monitoring systems are now expected to track ephemeral and rapidly scaling sets of containers. Thankfully, the Docker Engine exposes APIs for container metadata, lifecycle events, and key performance metrics (Docker 1.5+) that enable the development of robust monitoring solutions. Today we are…

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Louis Opter

At dotCloud, we are very happy users of collectd. collectd is a metrics collection daemon, an alternative (much superior, in my opinion) to Munin that you might know. At dotCloud we use collectd to collect system metrics, but it could also be used for business or application oriented metrics quite easily. collectd is basically a big loop, which read (i.e: collect) and/or write (in a storage backend like RRDs, on the network, etc.) metrics at a configurable interval. collectd is very efficient at that, and since it’s modular, a collectd daemon can be configured to collect metrics, store them or…

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