Google Cloud Platform vs. IBM Cloud Managed Istio

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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Clearly, the [IBM Cloud Managed Istio] tool is very useful when you have multiple services and each service is connecting with other services through APIs in different networks. To manage this type of complex network, [IBM Cloud Managed Istio] is very useful. It comes with a license that can increase the billing of your project so make sure if your application network mesh, monitoring cannot be managed on your own then you can use it. If your application is not very complex then you have many tools available like Grafana, Prometheus, Sumo Logic, which you can integrate individually with your cluster and implement. In this type of scenario, it is better to not use [IBM Cloud Managed Istio] and it will serve your purpose as well.

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

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• Layers transparently onto existing applications
• Allows control of access and rules to be developed
• Creates metrics for usage

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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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• Some more functionalities added could improve it better.
• Better technical user guidance.

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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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Training and usage support available

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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.

• 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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• It reduced the complexity of network mesh (ingress/egress services).
• One tool with many solutions. No need to integrate monitoring tools or notification tools.
• It reduced the number of lines of YAML code.
• It reduced the number of labor hours.

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