Rightsizing Cloud Infrastructure
Azure or AWS hardware resources are highly customizable, allowing users to design exactly the right machine for their project. This is a big value-add for data processing teams, because projects, timelines and budgets are all variable. Aligning the right hardware resources with a project can save time – and, in Azure or AWS, money. Rampiva Automate’s Resource Pool functionality makes it simple for users to administer this activity. Administrators can define a portfolio of machines with various resource specifications and save them for use later. Sophisticated teams can go one step further and design resource pools that are only accessible by certain analysts – or individual clients. Make it easy for your team to select the right resources for the job.
Spin-Up and Spin-Down VMs
The most resource-intensive steps of processing data in Nuix are the four operations that transform the data – loading data, OCRing files, imaging pages, and exporting data. These are also the most expensive steps when running Nuix in an Azure or AWS instance, because good performance requires well-resourced machines. Rampiva Automate helps manage this pressure by powering up VMs when a job is schedule and then automatically spins down that machine when the job is completed.
Leverage Remote Workers
The on-demand VM hosting the Nuix Case and managing the overall date-load process can be a relatively light-weight machine. This helps manage the interrupts in Spot VMs and stops high-cost processing resources during the Nuix operations that do not require significant machine resources (such as search and tag, filtering, reporting, item set creation, and more.)