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Prometheus with Julius Volz

Prometheus with Julius Volz

FromGoogle Cloud Platform Podcast


Prometheus with Julius Volz

FromGoogle Cloud Platform Podcast

ratings:
Length:
35 minutes
Released:
Jun 21, 2017
Format:
Podcast episode

Description

It’s all about open source monitoring this week, as Prometheus Co-Founder Julius Volz,
joins your co-hosts Francesc and Mark to talk all about
Prometheus. Where it came from, why it was built and why you should use it.



About Julius Volz

Julius co-founded the Prometheus monitoring system and lead the project to success at SoundCloud and beyond.
He now focuses on growing the Prometheus community and is the main organizer of PromCon, the first conference around
Prometheus. In a previous life, Julius was a Site Reliability Engineer at Google.

Cool things of the week


New Singapore GCP region – open now blog locations
Training an object detector using Cloud Machine Learning Engine blog
Preparing a Container Engine Environment for Production solution


Interview


Prometheus homepage github
Prometheus Overview youtube media
Prometheus Query Language docs
Grafana homepage docs
Prometheus Client Libraries docs
Installing Prometheus on Kubernetes helm operator
Cortex, a Open source, horizontally scalable Prometheus as a service github
Prometheus Federation docs
Prometheus Conference, PromCon 2017 site






Question of the week

I didn’t put enough log statements in my application, and now things are broken. Help!?


Using Debug Logpoints docs youtube


Where can you find us next?

Francesc just released a new #justforfunc episode
where he builds a Twitter bot that runs for free on GCP.

He will be running a workshop at QCon New York on Go tooling based on
this video, after that he’ll be at GopherCon in Denver!

Mark will be speaking at Google Cloud Summit, New York in July.
Released:
Jun 21, 2017
Format:
Podcast episode

Titles in the series (100)

The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to Big Query.