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AWS Compute Optimizer vs. IBM Kubecost

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Compute Optimizer

    Score8 out of 10
    N/AAWS Compute Optimizer recommends optimal AWS Compute resources for workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Over-provisioning compute can lead to unnecessary infrastructure cost and under-provisioning compute can lead to poor application performance. Compute Optimizer helps users choose the optimal Amazon EC2 instance types, including those that are part of an Amazon EC2 Auto Scaling group, based on utilization data.N/A

    IBM Kubecost

    Score7.2 out of 10
    N/AIBM Kubecost is a Kubernetes cost monitoring and optimization platform that delivers real-time, in-cluster cost intelligence with actionable insights to reduce waste and improve efficiency.

    $449

    per month 100 nodes

    Pricing
    AWS Compute OptimizerIBM Kubecost
    Editions & Modules
    No answers on this topic
    Business
    $449
    per month 100 nodes
    Enterprise
    Custom Quote
    Offerings
    Pricing Offerings
    AWS Compute OptimizerIBM Kubecost
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    User Ratings
    AWS Compute OptimizerIBM Kubecost
    Likelihood to Recommend
    8.0
    (2 ratings)
    7.0
    (1 ratings)
    User Testimonials
    AWS Compute OptimizerIBM Kubecost
    Likelihood to Recommend
    Amazon AWS
    AWS Compute Optimizer works well if you are using AWS as the core tech stack. If you are on mixed cloud deployments, then it is less appropriate because it can only give you a partial view. It might be helpful to use a tool that aggregates the usage and billing data from multiple platforms instead.
    Incentivized
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    Apptio an IBM Company
    Well suited for a k8 platform and the clients on the platform however doesn’t help as much for a total enterprise cloud cost that is not running on k8
    Incentivized
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    Pros
    Amazon AWS
    • Detailed analysis of resource uses
    • Suggestion to reduce cost
    • Easy to use
    Incentivized
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    Apptio an IBM Company
    • Show namespace level cost and usage
    • Allow rightisizibg At namespace level
    • Show effectiveness of current resources allocation
    Incentivized
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    Cons
    Amazon AWS
    • Although it works great for AWS services but they should give a third party cost add option
    • Many features only work when there is large data available
    • sometime suggestions are not relevant to business problem we address
    Incentivized
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    Apptio an IBM Company
    • Agents installation and the ping fed integration
    • The amount of CPU Kubecost agents use
    Incentivized
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    Alternatives Considered
    Amazon AWS
    Although both work in the same manner I prefer AWS cause our department mostly work on AWS technologies and it really makes our life easy in terms of cutting cost and making our application efficient and it gives a whole understanding of resource utilization. I recommend AWS Cost optimizer to all.
    Incentivized
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    Apptio an IBM Company
    Namespace cost, usage and efficiency data and ability to optimize for k8 containers
    Incentivized
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    Return on Investment
    Amazon AWS
    • It has a very positive impact
    • Reduced the cost by a significant amount
    • Great understanding of resource utilization
    Incentivized
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    Apptio an IBM Company
    • Allowed individual teams to better their cloud architecture for cost efficiency
    • Save on cloud investment
    Incentivized
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