Cloud Recommendation Engine

What is the Cloud Recommendation Engine?

Cloud Recommendation Engine is a powerful feature that can provide you with exactly the details you need to plan your next cloud migration, compare costs between AWS and Microsoft Azure clouds, and right-size your next cloud deployment.

Find the Cloud Recommendation Engine (CRE) under Reports > Cloud Recommendation Engine menu, and get clear recommendations for sizing cloud instances to suit your physical or virtual workloads.

CRE feature overview:

  • Cloud Recommendation Engine leverages Device42’s industry-leading auto-discovery and resource utilization data to understand your workloads
  • Cloud instance recommendations are provided for your choice of AWS or Microsoft Azure cloud platforms (instance sizes + pricing info)
  • Instance recommendations are calculated based on a combination of your observed workloads, resource utilization if available, PLUS a user-selected “Safety Factor” via the slider. e.g. if your current instance peaks at 4GB RAM usage, and you chose 50% safety factor, CRE will size cloud instance at 6GB:

    Cloud Recommendation Engine Screen with Safety Factor Slider

How Cloud Recommendation Engine Works:

  1. A summary of CPU, memory, and OS info is created based on auto-discovered inventory data
  2. If you have the resource utilization feature enabled, peak CPU and memory usage over the last month is factored in
  3. When you click the “Send to Cloud and Analyze Data” button, Device42 anonymizes your data and sends it to our cloud servers, finding matching AWS or Azure workloads
  4. Device42’s bots do the hard work, returning workload recommendations that have been best-matched each particular device to your main appliance. The anonymized data is then re-matched with your actual device names, and an output sheet is generated that contains both your device names and matched workloads for following 4 scenarios:
    • AWS based on Resource Utilization
    • AWS based on Inventory Data
    • Azure based on Resource Utilization
    • Azure based on Inventory Data

Downloaded Data Sample:
![Sample downloaded data](/media/images/reports/cloud-recommendation-engine/Sample of downloaded data.png)

AWS based on RU Sample:
![AWS based on RU sample output](/media/images/reports/cloud-recommendation-engine/AWS based on RU data.png)

Azure based on Inventory Sample:
![Azure based on Inventory Sample output](/media/images/reports/cloud-recommendation-engine/Azure based on inventory.png)