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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How Netdata's machine learning works

In this video we will walk though the Netdata Anomaly Advisor deepdive python notebook. The aim of this notebook is to explain, in detail, how the unsupervised anomaly detection in the Netdata agent actually works under the hood. No buzzwords, no magic, no mystery :) Try it for yourself, get started by signing in to Netdata and connecting a node. Once initial models have been trained (usually after the agent has about one hour of data, zero configuration needed), you'll be able to start exploring in the Anomaly Advisor tab of Netdata.

Equip any user to monitor Kubernetes with the Overview Page

Many organizations use Kubernetes to orchestrate their containerized applications. But because Kubernetes is complex, application developers may take some time to ramp up on the intricacies of monitoring a Kubernetes environment. This means that teams often need to create internal documentation and offer hands-on training to bridge the knowledge gap.

Using incidents to level up your teams

I joined GoCardless as a junior engineer. It was one of my first coding jobs, and in my time there I progressed to senior much faster than I had expected. When I reflect on how this happened, one pattern stands out to me; the big step changes in my understanding, and my ability to solve larger and more complex engineering problems, came as a result of incidents.

Kubernetes operators - the top 5 things to watch for

Software operators are steadily revolutionising how we deploy and run complex distributed systems. They offer the promise of low-intervention, self-driving software – ideally leading to service reliability gains and better uptime. For an introduction to Kubernetes operators, check out our introductory webinar or download our guide to Kubernetes operators.