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.
Select Reports > Cloud Recommendation Engine 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 Amazon AWS, Microsoft Azure, Google Cloud Platform, and the Oracle cloud platform (including instance sizing recommendations and pricing information).
- Instance recommendations are calculated based on a combination of your observed workloads (CPU, RAM, HDD, NIC, etc.), and utilizing Resource Utilization data, if available, plus a user-selected Safety Factor you can select via the slider (for example, if your current instance peaks at 16GB RAM usage, and you chose 50% safety factor, CRE will size cloud instance at 24GB).
- CRE reports now include the following monthly and annual cost information for all vendors:
– On-Demand Instance Cost
– 1-Year Reserved Instance Cost
– Prorated 3-Year Reserved Instance Cost
– Storage Cost
– Networking Cost
How does Cloud Recommendation Engine Work?
- A summary of CPU, memory, and OS info is created based on auto-discovered inventory data
- If you have the resource utilization feature enabled, peak CPU and memory usage over the last month is factored in
- 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
- 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:
Google Cloud Platform based on Device42 inventory data sample:
Azure based on Inventory Sample:
Disk (HDD) and NIC RU details considered by CRE
As of Device42 v16.03.00, CRE also factors NIC and HDD config details as well as new RU information into recommendation calculations [in addition to CPU and Memory (RAM) RU and inventory data as noted above].
The following RU data for NICs and HDDs is now available:
|NIC-specific data considered:
||HDD-specific RU data considered:
CRE Communication Details
Cloud recommendation engine communicates with the Device42 main appliance (MA) over https/443, reaching out to either connect.device42.net (non-eu) or connect-eu.device42.net for EU users. IP address details for this communication (current as of 2018-19) is as follows:
FQDN/IPS: connect.device42.net https/443 connect-eu.device42.net https/443