#kubernetes

The gap between Minikube and Kubernetes in production is vast and full of pain. Want to know what it’s like to implement Kubernetes (k8s) in production for the first time before you collect the bumps and bruises yourself? Join me to learn about the ups and downs of one company’s initial experience with k8s - including who was involved, the scope, and what was intentionally deferred.

We will cover:

• Why even consider Kubernetes (Hint: you might not benefit from it!)
• How a real company approached their first proof-of-concept
• How goals changed during implementation of k8s
• What we learned so far
• What we still need to learn

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As I prepared to present the four previous posts (part 1, part 2, part 3, part 4) as “Dissecting Kubernetes” at KCDC X, I tried to upgrade from v1.9 to v1.11 of Kubernetes and I found that when we only have the kubelet and the kube-apiserver we run into a permissions issue we didn’t have before.

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This is part 4 in a series of posts related to Kubernetes. Pervious posts were about kubelet, Kubernetes API, etcd, and kubectl, and kube-scheduler. This time we will explore kube-controller-manager and its role in managing replication of pods (a.k.a. scaling).

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In 2018 I gave my first conference presentation. It was quite the journey from being at NDC Minnesota in May — swearing I didn’t have the guts to be a speaker — to presenting at the Kansas City Developer Conference (KCDC) in July to a room of 120+ people.

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Speaker Bio Josh is an enthusiastic software engineering manager with over 15 years working on web applications of different flavors. He cut his teeth on regular expressions in Perl for a meta search engine and had the misfortune of porting those to Java in 2001. Lately he’s happy to be building a data science team, writing Python, and exploring the benefits and challenges of container orchestration with Kubernetes. Sessions Slides made available at Speaker Deck. [Read More]