Eagle Recon Service
Does your storage solution really meet your computing needs?
Accurately sizing an environment and determining storage requirements can be a shot in the dark. With Eagle Recon for Windows, Linux, and UNIX environments, we take the guesswork out of storage sizing and performance requirements of your storage.
Eagle Recon is an automated process and integrated service that accurately analyzes storage activity, total amount of data, and types of computing specific to your datacenter environment. The results are the specifications for a properly sized solution that meets your current computing needs and allows for future growth.
Simplified Server Discovery
Eagle Recon first queries the domain for a full and accurate server count. Systems can be included or omitted once discovery is complete to allow for fine tuning. This query includes specific server information including:
- Server identification information
- System information such as CPU, RAM, Phy, Virtual, etc.
- System storage information such as drive count, capacity and utilization
Next, Eagle Recon analyzes the compiled server information and I/O activity:
- Reports server IOPS and bandwidth requirements per drive
- Shows I/O history to the drive level based on the collection time
- Analyzes the types of I/O that will affect storage performance
- Predicts performance and available capacities at different RAID levels
When complete, Eagle Recon provides graphical and statistical reporting which is evaluated along with additional computing criteria specific to the datacenter (RAID sets, snapshots, key applications and future growth) to determine the right storage fit for your business needs. Eagle Recon gives you the peace of mind that your storage solution is accurately sized.
Data Protection Now In the Cloud
Who We Work With
Before we propose a technology, our engineers have done extensive due diligence to make sure a technology is fit for our line card. This means we’ve identified, evaluated, trained, and are certified on the solution, and run it in our own lab before it ends up in a customer’s datacenter.