Google Kubernetes Engine vs. Vercel

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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I've had nothing but positive experiences with Vercel, and while their business offering is great, it's also worth touching on their free plan. Their free plan allows me to tinker with web development in my free time without having to worry about paying for a costly linux box. I just link a GitHub repository and it's done!

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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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• Deploy Site
• Integrate Giithub
• Functions to use at scale and free

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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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• Interface Revamp
• Cost reduction

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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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Vercel's good usability and developer experience make me happy to visit their website when I need to configure my deployments. It's very easy to navigate, configure, and manage my projects, and the developer experience is so seamless that I don't have to think much when I push changes to git.

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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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Vercel beats Heroku and DigitalOcean by a mile with pricing. Since Vercel uses serverless infrastructure, we don't pay for servers that don't get used, which is great for smaller platforms. Vercel Support is also very quick to respond, unlike DigitalOcean who took a while to get back to me after they didn't honor platform credits they sent me.

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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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• Reduced amount of staff time required to deploy applications and websites
• Improved staging environments by automatically deploying changes on pull requests
• Allowed for collaboration from members of the open source community with strong git integrations

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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