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.
N/A
C-Facts - Cloud Cost Management
Score 7.3 out of 10
N/A
A (Multi) Cloud Cost Management solution that helps make the right business decisions, C-Facts is presented as Management Control Center. C-Facts organizes (multi) public cloud data so users have the right insights. The user can fully or partially allocate costs to different cost centers or value streams and add margins and/or discounts. Unassigned costs are directly visible. By giving stakeholders access to the reports via the C-Facts Management Control Center the user can…
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.