AppFog (discontinued) vs. IBM Kubecost

It was very good to use in small scale projects. Considering the high end projects with many instances and multi-platform architectures, it is better to test before the application is deployed. I think few of the questions can be general - who are the system users and what size is the application focussing on? How much resources are required? Will the application require any additional services?

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We have a Kubernetes cluster spread across multiple cloud providers, including AWS, Google, and Azure. Kubecost consolidates data from all the providers and gives us insights. So instead of jumping between individual dashboards, Kubecost shows everything in one place. It helps us in right-sizing the cluster, which directly saves us costs. Although it gives us cluster insights, we still need to take action manually. It also provides insight into the Kube cluster only, but actual costs depend on other components as well, including databases, storage, etc.

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• Quick deployment of pre-built virtual machines
• Some of the virtual machines also are readily available with a pack of softwares
• Good Stability. Using it as a student, I have never experienced any downtime issues with the projects deployed on AppFog.

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• Show namespace level cost and usage
• Allow rightisizibg At namespace level
• Show effectiveness of current resources allocation

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• Though it is good and easy for developers, it lacks operational activities and monitoring tools.
• It is easy to deploy WAR on AppFog with its console but sometimes it can lack on the performance and feasibility.

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• I think there is room for improvement in IBM Kubecost if you Streamline IBM Kubecost more with AWS cost explorer

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Our engineers liked the devops dashboard and the initial deployment was very fast which meant the cost-allocation data was available right after deployment which the team further customized and enhanced based on our needs. Version 3.0 fixed a lot of concerns with the backend responsiveness, especially when running heavy multi-cluster api calls

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Primarily because it used to have a good free tier earlier, which it does not anymore. It's simple, and things are available to use. Compared to it's competitors, it does has less features, but that kind of acts in its favor. That adds to the simplicity, and ease of use for a new user.

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Independently Invited by TrustRadius

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

Among competitors, IBM Kubecost offers deeper insights into cluster metrics. It offers the highest data privacy, as the data stays in your private infrastructure. Although it can't provide Non-K8s cost insights, it still offers some insights based on tags, which is better than any other product.

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• Our project was deployed with good efficiency and easily accessible.
• The platform was much recommeded across the groups and peers.

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Independently Invited by TrustRadius

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• Given that we are going through a cloud transformation journey, IBM Kubecost has helped reduce the infra cost by up to 20% by detecting any wrong configuration early in the process
• It also helped us determine the idle and orphaned resources that we could cleanup to save costs

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

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