Case Study:

Global Cybersecurity Leader
Saves $9M+ with AWS CloudHealth

SHI converts customer’s platform to Savings Plan Model to track AWS usage

Highlights:

Customer Profile

A global leader in SaaS-based threat detection.

Challenge

The customer had grown to an enterprise-level AWS user and needed to control unnecessary spend while taking advantage of the highest applicable discounts.

Solution

ITAM and Licensing

SHI created a cost governance structure with weekly reviews for a proactive approach to changes in the customer’s environment.

Partners

AWS CloudHealth Technologies

Benefits/Results

  • $9M+ in savings in first 12 months of the service
  • Better understanding and tracking of AWS usage
  • Established cost governance with automated alerting

Who would have ever thought that “cloud health” would one day be a thing? In today’s reality, cloud health is not only a thing, it’s a necessity to protect your data. Here’s how one cybersecurity company ensured their enterprise-level AWS status was safe, healthy and devoid of unnecessary spend.

Challenge:

A global leader in SaaS-based threat detection, with over 30,000 customers of all verticals, had grown from a small AWS user to an enterprise-level AWS user in just a few years. The growth led the company to the unique challenge of trying to control unnecessary spend while taking advantage of the highest applicable discounts.

Solution:

SHI’s AWS team implemented a weekly status check to identify the greatest areas for savings. After reviewing then resolving the problem areas, SHI established acceptable thresholds and began tracking each one of them. Creating a cost governance structure with weekly reviews reinforced good behavior and follow-through on actionable items for the customer.

Benefits/Results:

SHI moved forward with implementing a proactive approach to changes expected in the customer’s environment.

  • $9M+ in savings in first 12 months of the service, outside of enterprise discounting
  • Predictable growth and planning for new product releases
  • Better understanding and tracking of AWS usage
  • Established cost governance with automated alerting
  • Increased coverage while minimizing risk of Savings Plans/Reservations
  • Converted from the Reserved Instance Model to the Savings Plan Model
  • Process workflow created for all savings areas
  • Renegotiated EDP and Private Pricing to larger discounting, with better understanding of spend
  • Predicted EDP consumption on a daily basis, with customer pricing rules built into CloudHealth