AWS 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.
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Jamcracker Cloud Analytics
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Jamcracker Cloud Analytics provides visibility into your cloud costs across your organization for a better cloud cost management. By providing a multi-dimensional view of cloud usage and expenses, it helps you take prompt and efficient decisions about your cloud cost. It provides meaningful cloud cost and usage data by projects, departments, products, cloud providers and business units.
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 …
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.
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.