AWS Fargate vs. Google Cloud Platform

Fargate is well suited for web APIs, microservices, background jobs, and applications with changing traffic. It is useful when teams want to run containers without managing servers. It is less appropriate for workloads that run constantly at large scale, need special hardware, require deep server control, or depend on very low costs and highly customized networking or storage requirements.

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When most of our stuff is in Google Cloud Platform, it works great to integrate and cross/share data that is all in Google Cloud Platform or BigQuery. It has simplified things from a permissions perspective as well. I'd say it is less appropriate when trying to test something quickly locally, or when half your stuff is in AWS or another provider.

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• scalability
• ease of use
• agility to up or downsize

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• Easy to set up
• Affordable use of the tool
• Easy to access billing
• Reliable service

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• Offers less control over the underlying server.
• Storage options are more limited than EC2.
• Large numbers of tasks may hit launch-rate limits.

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• The UI is so confusing. The console is good, but it is like a maze. There are too many menus and settings, and things do not work as expected. It takes time to get friendly, and it is not friendly for new users.
• Support experience: Sometimes, you get a great engineer, but other times, it's very difficult to talk with them as they are unable to respond as expected and solve issues late.
• Region and zone are issues, as not all services are available in all regions, which is lacking when deploying something in the same region or zone.

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It's a very practical service to use. If you need to deploy any application with a Database, disk storage, you're pretty much set.

Everything around that can be taken care of using other AWS services. Like secrets manager, certificate manager, RDS ...

And the CI/CD part is also very easy to setup, you only need on AWS CLI command to trigger a deployment, and done !

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The Google Cloud Platform console is pretty slick for BigQuery especially. I have liked the visibility I get from using that and the way to integrate and see what's in our data lake. The logging console for tracking GKE jobs isn't quite as great, which is why it doesn't get a full 10.

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AWS provides different support tiers. They are usually very reactive and are able to help solve the issues very quickly.

As for everything, the higher the support tier you get, the better and faster support you get.

If you're also a part of big company, you probably have solution architects at your disposal to help you with any inqueries.

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We found the extra cost saved us frustration and time and ultimately money in the long run

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Google Cloud Platform is release later than Amazon web service, I think that why Google Cloud Platform can learned and optimized the Dashboard and some features that make it easy to use and can be cheaper than amazon web service.

Pricing and billing of AWS Fargate is loosely tied to your exisiting AWS billing. You're unlikely to only use Fargate in your AWS subscription, so you get billed for everything alltoghter.

Fargate is naturally a bit more expensive that usuel docker services, but with careful planning and architecturing, you can have a very manageable cost.

You can also rely on Saving plans to reduce your bill.

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• Has made seasonal apps/tools cheap to run/maintain.
• Pay for what you use helps compare many A/B tests.
• No server management means faster deploys.

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• It allows us to focus our efforts on other, more important items at hand
• It gives us an affordable option letting me know it's available to all users, not just the largest scale ones out there
• The customer service is always helpful and reliable, along with the service itself which lets me focus on my work instead of worrying about the service.

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