In Part 1 and Part 2 of this series, we covered the basics of Prometheus metrics and labels. This third part will concentrate on the way Prometheus collects metrics and how clients expose them.
Continue reading · 4 min read
In Part 1 of this series, we talked about Prometheus metrics and how to make good use of labels to observe your applications under different segments and dimensions. This second part will look into more details in the 4 different types of Prometheus metrics: Counters, Gauges, Histograms and Summaries.
Continue reading · 6 min read
When it comes to monitoring tools in the last while, Prometheus is definitely hard to miss. It has quickly risen to be top of the class, with overwhelming adoption from the community and integrations with all the major pieces of the Cloud Native puzzle.
Throughout this blog series, we will be learning the basics of Prometheus and how Prometheus fits within a service-oriented architecture. This first post the series will cover the main concepts used in Prometheus: metrics and labels.
Continue reading · 4 min read
CODE Stockholm is a one-day conference centered on Continuous Delivery and the DevOps movement. Both aspects were well covered through keynotes and two tracks of great talks.
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As engineers, we tend to have high expectations of product managers to justify the value of adding new features. What problem is this solving? How will we validate that we’re building the right thing? Is this the most important thing to work on right now?
These are great questions but interestingly we aren’t always applying the same rigor to the technical work.
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This talk from RebelCon 2017 gives an overview of different monitoring patterns and how different tools can be used to help build a fuller picture of distributed applications in production.
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In this talk at TMForumLive 2017, I describe the Poppulo journey (and challenges!) from a single team building a monolithic application to six teams practicing DevOps on a microservices architecture.
Continue reading · 1 min read
