Category Archives: Application Management

Knative Functions – No Dockerfile, No Lock-In, No Kubernetes Experience

Would you like to run functions in your own Kubernetes clusters? Would you like it to be as simple as possible? How about providing Functions As a Service (FaaS) flavor of serverless computing to everyone in your company? If the answer to any of those questions is yes, you might want to explore Knative Functions.

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Is Kubernetes Too Complicated? How About ClickOps With Qovery?

Is Kubernetes too complicated? Do you or the people working with you prefer ClickOps instead of terminals and writing manifests? Do you prefer SaaS solution running on your own infrastructure? If you do, Qovery might be a good fit for you. In this video, I will show you how to use Qovery to deploy an application with a managed database to Kubernetes.

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How To Shift-Left Stateless Kubernetes Applications Management

How can we enable application developers to be self-sufficient instead of opening JIRA tickets requesting deployment of their apps to Kubernetes, creation of databases, clusters, etc.? In this video, I’m trying to answer that question through an example of a stateful application running in Kubernetes and connected to a database. To accomplish that, I’ll use Crossplane, SchemaHero, Okteto, and a bit of Bash scripting.

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cdk8s – Kubernetes Manifests With GoLang, TypeScript, Python And Java

Sometimes, when defining Kubernetes manifests, YAML or templating is not enough. Sometimes, we do want a “real” language like Go, TypeScript, Python or Java as an engine that will generate Kubernetes manifests. That’s where cdk8s comes into play. In this video, we will see how to use cdk8s to create Kubernetes manifests.

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Helm And Kustomize Replacement? Jsonnet With Grafana Tanka

Can Jsonnet with Tanka replace Helm and Kustomize?

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How GitHub Copilot And OpenAI Codex Help Developers Write Code

Can AI help us write code? Let’s see whether GitHub Copilot and OpenAI Codex are just the thing we need.

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KEDA: Kubernetes Event-Driven Autoscaling

Kubernetes Horizontal Pod Autoscaler (HPA) is limited to memory and CPU metrics. It can be extended with custom metrics, but that might not be enough either. KEDA (Kubernetes Event-Driven Autoscaling) might be the solution for all (horizontal) scaling needs.

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