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AWS Graviton Case Study
AWS Graviton
Health & Wellness
Cloud Performance
Optimizing Performance
with AWS Graviton
SoulTrps, a fast-growing online Health and wellness platform, was experiencing performance and cost-efficiency challenges with its existing cloud setup.
30%
Cost Reduction
20%
Response Faster
ARM64
Graviton Optimized
SoulTrps Platform Dashboard
Infrastructure Cost
−30%
↓ vs previous setup
Response Time
+20%
↑ Faster
Instances
M6g / C6g
↑ Graviton
Scalability
Seamless
↑ Auto Scaling
30%
Cost Saved
↓ Infra
20%
Response ↑
↑ Speed
ARM
64 Optimized
↑ Graviton
About SoulTrps
SoulTrps, a fast-growing online Health and wellness platform, was experiencing performance and cost-efficiency challenges with its existing cloud setup. The platform needed high computing power to smoothly deliver video streaming, live sessions, and on-demand content. However, increasing infrastructure costs and inefficient resource utilization had become major concerns.
Challenges
Performance and cost-efficiency challenges driving infrastructure transformation
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SoulTrps, a fast-growing online Health and wellness platform, was experiencing performance and cost-efficiency challenges with its existing cloud setup. The platform needed high computing power to smoothly deliver video streaming, live sessions, and on-demand content. However, increasing infrastructure costs and inefficient resource utilization had become major concerns.
Performance challenges with existing cloud setup unable to efficiently handle video streaming and live sessions.
Increasing infrastructure costs making the platform economically unsustainable at scale.
Inefficient resource utilization resulting in wasted compute capacity and poor price-to-performance ratio.
Solutions Provided
Migrating SoulTrps’ compute workloads to AWS Graviton-powered EC2 instances
To resolve the challenges, we recommended migrating SoulTrps’ compute workloads to AWS Graviton-powered EC2 instances. The solution included:
EC2 Graviton Migration: Transitioned workloads from traditional x86 instances to Amazon EC2 M6g and C6g instances, designed for high-performance compute workloads.
Performance Optimization: Optimized the application for the ARM64 architecture to achieve higher efficiency and smoother performance.
Cost Savings: Lowered operational costs by leveraging the superior price-to-performance ratio of AWS Graviton.
Scalability: Enabled Auto Scaling to seamlessly handle peak traffic during live dance sessions and high-demand periods.
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Result Outcome
Cost reduction, faster response, and seamless scalability — all achieved
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SoulTrps achieved a 30% reduction in infrastructure costs compared to their previous setup.
Application response times improved by 20%, thanks to the enhanced performance of AWS Graviton.
The platform also experienced seamless scalability and stable performance even during peak traffic hours.
30%
Infrastructure Cost Reduction
Compared to their previous cloud setup
20%
Application Response Improved
Thanks to the enhanced performance of AWS Graviton
Peak
Seamless Scalability
Stable performance even during peak traffic hours
Infrastructure Cost Reduction
−30%
Compared to previous x86-based setup
Application Response Improvement
+20%
Enhanced performance of AWS Graviton EC2
Transformation
Before vs After: Legacy x86 to AWS Graviton (M6g / C6g)
✕ Before — x86 Setup
Performance challenges delivering video streaming and live sessions
Increasing infrastructure costs — economically unsustainable at scale
Inefficient resource utilization on traditional x86 instances
No auto-scaling — poor handling of peak live session traffic
Application not optimized for ARM64 architecture
✓ After — AWS Graviton (M6g / C6g)
30% reduction in infrastructure costs vs previous setup
20% improvement in application response times
Application optimized for ARM64 — higher efficiency and smoother performance
Auto Scaling handling peak live dance sessions and high-demand periods
Seamless scalability and stable performance during peak traffic
Conclusion
Key learnings from the AWS Graviton migration
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AWS Graviton provides substantial cost benefits for compute-heavy workloads.
To maximize performance, applications must be properly optimized for ARM-based architectures.
Additionally, scaling live video workloads on Graviton requires strategic load balancing and continuous performance monitoring.
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Technology Stack
AWS Services & Technologies Deployed
EC2 M6g Instances
Graviton General Compute
EC2 C6g Instances
Graviton High-Perf Compute
ARM64 Architecture
App Optimization
EC2 Auto Scaling
Peak Traffic Handling
Video Streaming
Live Sessions Delivery
Load Balancing
Traffic Distribution
AWS CloudWatch
Performance Monitoring
Price-to-Performance
Graviton Cost Ratio
Accepting New Enterprise Clients
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AWS Infrastructure?
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