Google Kubernetes Engine vs. K3s Lightweight Kubernetes

If your application is complex, if it's planet-scale, or if you need autoscaling, then Kubernetes is best suited. If your application is straightforward, you can opt for App Engine or Cloud Run. In many cases, you can prefer to run the cloud on GKE. But once you deploy on Kubernetes, you get the flexibility to try different things. But if you don't seek flexibility, it's not an option for you.

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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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• Engine upgrade rollout strategy - well documented and configurable
• Integration with other Google Cloud services like the Compute Engine, SaaS databases, and some cloud networking like Cloud Armor
• Graphical interface for a lot of operations - either for a quick peek/overview or actual work done by administrators and/or developers (via the Google Cloud Console, for example)

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

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• Support of IPv6.
• Better GitOps.
• A "serverless" Kubernetes so we can install Google config connector will be really awesome.
• Container-native load balancers do not support internal TCP/UDP load balancers or network load balancers.

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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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• Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly
• Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly
• Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files

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Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.

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GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.

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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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• When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.

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• Reduced cloud computing costs.
• Easier management of applications.
• Extra time investment to learn how to setup applications in Google versus Amazon.

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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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