RESULTS
$145M+
In cost savings achieved from 2022 – 2026
$7M+
In cost savings achieved in the first 6 months
$20M+
In annual cost savings achieved
60
Cost optimization initiatives deployed
380M+
Customers supported by the optimized cloud solution
Executive Summary
A media and entertainment leader had to reduce the nearly $1B it was spending yearly on cloud computing costs. EPAM implemented an AWS optimization program that saved the client over $7M in six months and more than $145M over the next four and a half years.
SERVICES
- Cloud
STRATEGIC PARTNER
- Amazon Web Services (AWS)
INDUSTRY
- Media & Entertainment
The Challenge
A global media and entertainment company that offers multiple streaming services needed to significantly decrease the hundreds of millions of dollars they were spending annually on cloud costs — and needed to do it quickly. But actually achieving this goal alone would be extremely difficult for several reasons:
Complexity
The company needed to analyze an exorbitant amount of data totaling over 500 AWS accounts, 90+ digital products and 1,000 apps
Inexperience
The client did not have the expertise in-house particularly in AWS Cost Explorer
Immaturity
The company lacked both transparency and a unified cloud strategy across its accounts
The Solution
The company turned to EPAM to rapidly assess its AWS services and roll out a cloud cost optimization program that could deliver results fast — with the client setting a strict goal of achieving $2M in cost savings within three months.
EPAM put together a team of 15 specialists in just two months and performed a deep analysis to identify cost savings opportunities, starting from the client’s defined three “low-hanging fruit” initiatives. In the first six months, we optimized the client’s cloud services enough to save them more than $7M, well exceeding the short-term goal.
Over the next four and a half years, the EPAM team analyzed approximately 700+ AWS accounts and implemented 60 cost optimization initiatives across seven key pillars, saving the client more than $145M during that time.
SEVEN PILLARS OF CLOUD COST OPTIMIZATION
01
Compute Instance Optimization
- Downscaled and rightsized ECS and EKS clusters
- Migrated ECS and EKS to spot instances
- Migrated the EC2 Graviton instance
- Upgraded the EC2 instance to the latest family generation
- Migrated to Graviton
02
RDS/ElastiCache Modernization
- Scaled and rightsized the RDS cluster
- Migrated to Aurora Serverless
- Scaled and rightsized ElastiCache
- Upgraded to ElastiCache Graviton
03
Availability Zone & Regional Data Transfer
- Implemented Service Mesh and an AWS Cloud Map service
- Optimized regional data transfer processes and spend
04
Compute & Instance Savings Plan Overhaul
- Deployed a more efficient corporate savings plan
- Optimized reserved instances
05
Block Storage Cleanup & Migration
- Cleaned up orphaned (unattached) EBS volumes
- Migrated GP2 volumes to GP3
- Cleaned up and archived Snapshots
06
S3 Lifecycle Policies & Automation
- Created lifecycle policies for Infrequent Access, Glacier and Deep Archive
- Built lifecycle policies for multipart uploads
- Deployed lifecycle policies for recent object versions
- Automated object duplicate removals
07
OpenSearch Upgrade
- Scaled and rightsized OpenSearch
- Upgraded to OpenSearch Graviton
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