Google Kubernetes Engine vs. Oracle Solaris

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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It's good for environments that need to operate 24/7 due to its stability, as I mentioned before. It's also very good for enterprise applications that can't afford unscheduled downtime, for truly high-priority environments. I don't think it would be recommended for small companies with people who have no prior knowledge of the tool, as the learning curve is quite steep.

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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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• Preferred Operating System to run Oracle Databases
• Performs well with Java and Oracle applications
• Great for Virtualizations.

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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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• It seems that Solaris is becoming an afterthought at Oracle.
• Oracle should be more vocal in their commitment to Solaris
• Support Costs

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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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You need to take the time to learn it. It is a massive product.

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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The support teams are well trained and responsive. Patches are rolled out regularly and are easy to deploy and backout.

Stress testing and timing is key. You need test systems that mirror the live environments. User testing must be reflected in peak loads.

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 used Windows Server quite a bit because of the ease of use for the team, file sharing, Active Directory, and systems integrated with Windows; learning was easier, and the interface was more user-friendly. On the other hand, Oracle stood out for its stability because we provide services that keep environments up and running 24/7.

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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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• Possibility to migrate old servers protecting previous inversions
• reduces implementation times and accelerates time to obtain value in the market.

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