K3s Lightweight Kubernetes vs. Microsoft Azure IoT Edge

K3s Lightweight Kubernetes is well suited for local development. K3s Lightweight Kubernetes is not well suited when you need backward support. In the case that you want to test an application that is still using deprecated APIs or CRDs which are supported on popular managed Cloud Kubernetes Distributions, because K3s Lightweight Kubernetes is trying to be a lightweight application and dropping early support for APIs/CRDs marked for deprication K3s Lightweight Kubernetes will not be a good solution. If you are trying to test Kubernetes etc, functionality, K3s Lightweight Kubernetes is not a good case since it's using Dqlite or SQLite.

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Deployment of mission critical business support solutions particularly those that support virtual learning and video conferencing environments. This is because they help organisations such as the university to effectively transition to a digitally compliant organisation.

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• Virtual clusters
• IoT devices
• Local development
• Raspberry Pi

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• It works even if there is no internet at client location. It will record all the generated data and only send them to cloud storage when there is internet connection.
• It allows you to bring cloud functionality down to Edge location in the form of docker container.
• It also supports two way communication from device to cloud and vice-versa.

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• Option to deploy a self managed k3s in the cloud
• Support to deploy it with kubeadm
• Integration with prometheus & grafana

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• Microsoft Azure IoT Edge must support more Azure services for Edge computing.
• Like stream analytics integration with Microsoft Azure IoT Edge. Other services also should be integrated with Microsoft Azure IoT Edge for alerts and notifications.
• Buffering issue needs to be resolved.

We have mostly used kind, minikube, and Docker Desktop Kubernetes for local development. Only kind has lower resource requirements, but K3s Lightweight Kubernetes seems to be even lighter. It is a big benefit to be able to deploy a K3s Lightweight Kubernetes cluster in seconds locally in our workstation, there is no cost, and it makes it easy to redeploy from scratch no matter how many times we want. The removal of deprecated APIs or CRDs also makes it more secure since it reduces unnecessarily exposed attack vectors.

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In terms of creating a smart digital workplace, in terms of being granular in enterprise security, provides a modernised experience, high quality data analysis at the edge of computing, while providing efficient mobility and workplace services.

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• Engineers have been able to run more microservices locally with K3s Lightweight Kubernetes instead of Minikube, which is more resources hungry

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• ROI was high, as we were able to impress our clients with POC of Microsoft Azure IoT Edge with our IoT based ERP product.
• We were able to perform our POC for almost free, as there no charges for Azure IoT Edge, only minimal charges for storage.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info