Issue #5 — Cloud-Native Untangled: 05/02/2022–05/08/2022

Your Weekly Summary of What I Found More Relevant in the Cloud-Native Ecosystem.

Alex Vazquez
3 min readMay 8, 2022

Summary

We have a mix of things on this issue, from technical tutorials to analysis and historical context about important open-source decisions.

We will start with a look to extend the traditional scalability options in Kubernetes beyond Horizontal Pod Autoscaler (HPA) default capabilities using the KEDA project to scale based on the Kafka Consumer Lag.

We will continue talking about the reasons behind the decision to remove Dockershim from the Kubernetes project, which is finally a reality with the release of the 1.24 version.

And we will end with one article that provides some solutions to the usual concern of observability exploding on the big architectures and how we can address it.

Come with me on this journey!

Stories

Autoscaling Using KEDA Based On Kafka Lag

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Alex Vazquez
Alex Vazquez

Written by Alex Vazquez

PSG Senior Architect at TIBCO Software with a focus on Cloud Development, Event Processing and Enterprise Integration