AWS Releases Resource Optimization Recommendations
Daniel Johnson — July 31, 2019 — Tech
References: aws.amazon & techcrunch
A new tool for AWS was released called EC2 Resource Optimization Recommendations. The tool is able to examine a user's EC2 activity and give tailored recommendations. Resource optimization recommendations look at user history and use Cloud Watch metrics as well as already existing reservations on the platform.
The tool will recommend that users shut down any idle instance that has a less than a 1% maximum CPU utilization. After the tool has found a less-used instance, it will show users three other sizes that could be used in order to better fit a user's usage history. The tool will work for EC2 instances but not for GPU instances currently.
The new tool is now live for users of the AWS platform
Image Credit: AWS
The tool will recommend that users shut down any idle instance that has a less than a 1% maximum CPU utilization. After the tool has found a less-used instance, it will show users three other sizes that could be used in order to better fit a user's usage history. The tool will work for EC2 instances but not for GPU instances currently.
The new tool is now live for users of the AWS platform
Image Credit: AWS
Trend Themes
1. Resource Optimization Recommendations - Disruptive innovation opportunity: Develop AI-powered recommendation tools that analyze usage history and suggest optimal resource allocation for businesses.
2. Cloud Watch Metrics Analysis - Disruptive innovation opportunity: Create advanced analytics tools that leverage Cloud Watch metrics to identify inefficiencies and improve resource utilization in cloud-based platforms.
3. Instance Size Optimization - Disruptive innovation opportunity: Design algorithms that automatically suggest alternative instance sizes to better match a user's usage history and enhance cost-effectiveness.
Industry Implications
1. Cloud Computing - Disruptive innovation opportunity: Develop tools and services that optimize resource allocation, improve efficiency, and reduce costs in cloud computing environments.
2. Artificial Intelligence - Disruptive innovation opportunity: Utilize AI technologies to analyze usage patterns, recommend resource optimization strategies, and enhance operational efficiency across various industries.
3. Data Analytics - Disruptive innovation opportunity: Build advanced analytics platforms that leverage Cloud Watch metrics and usage history to identify opportunities for optimization and cost savings in resource management.
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