AWS Compute Optimizer vs. Kubecost

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

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

• Detailed analysis of resource uses
• Suggestion to reduce cost
• Easy to use

Incentivized

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

Incentivized

• 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

• Agents installation and the ping fed integration
• The amount of CPU Kubecost agents use

Incentivized

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

Namespace cost, usage and efficiency data and ability to optimize for k8 containers

Incentivized

• It has a very positive impact
• Reduced the cost by a significant amount
• Great understanding of resource utilization

Incentivized

• Allowed individual teams to better their cloud architecture for cost efficiency
• Save on cloud investment

Incentivized