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What are the system requirements for a Metric Insights server?

This article lists the minimum system requirements for the Metric Insights server. This assumes a single node for a Simple Install. It can also apply to a single node for an Orchestrated Deployment (multi-node environment).

System Requirements for Pilot Instances

Single Server running both the application and MySQL

  • 4 Core
  • 16 GB RAM
  • 500 GB disk total
    • If the disk  is split into several partitions, please ensure enough space is allocated to the following directories:
      • /var
      • /opt or /app
      • /home
      • /tmp
    • Docker lives in /var/lib/docker by default. The MI filesystem lives in /opt/mi by default (or /app/mi alternatively)

On AWS, this equates to an m5.xlarge EC2 instance type.

On Azure, this equates to a D4ds v4 VM instance size.

For pilot instances, the specs above should be more than sufficient. If there are plans to run large datasets and/or large bursts as part of the pilot, we recommend moving to an 8 core / 32G RAM server for better performance.

System Requirements for Production Instances

MI application server

  • 8 Core
  • 32 GB RAM
  • 1 TB+ disk total
    • If the disk is split into several partitions, please ensure enough space is allocated to the following directories:
      • /var
      • /opt or /app
      • /home
      • /tmp
    • Docker lives in /var/lib/docker by default. The MI filesystem lives in /opt/mi by default (or /app/mi alternatively)

On AWS, this equates to an m5.2xlarge EC2 instance type.

On Azure, this equates to a D8ds v4 VM instance size.


MySQL server 

The MySQL database must be running on a separate server, preferably on a db cluster managed by a DBA team or a native cloud solution like Amazon RDS.

  • 8 Core
  • 32 GB RAM
  • 1 TB+ HD total
    • If there are different volumes for specific filesystems, please ensure enough space is allocated to the following:
      • /var
    • MySQL data files by default live in /var/lib/mysql

A Note about Virtual Machines

Metric Insights can be deployed as a virtual appliance, for pilot instances as well as for production instances. (See Deploy Metric Insights as a Virtual Appliance for more information.) If you choose this option, then your virtual machine should meet the requirements laid out above.

It's important to understand that the Metric Insights virtual appliance is a virtual machine. You do not need to create your own virtual machine to serve as a host. In fact, the host machine should be a physical machine, not a virtual machine. If your IT department offers to provide a virtual server to serve as a host for Metric Insights, then they must certainly be running one of the common virtualization environments. In that case, simply send the Metric Insights virtual appliance to them and ask them to 'import' it.