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๐ŸŒ™ โ˜€๏ธ
AWS Case Study
Health & Wellness ยท AWS Archival Storage

SoulTrps Wellness: Optimizing Archival Storage and Retention Management

SoulTrps is a fast-growing health and wellness technology platform offering telehealth video streaming, live wellness sessions, and on-demand digital content. The business manages growing volumes of logs, session records, and compliance-related data requiring long-term retention.

0%
Long-Term Storage Cost Reduced
0%
Compliance Readiness
0%
Archival Durability
SoulTrps Infrastructure Dashboard Live
100%
Compliance Readiness
โ†‘ Achieved
S3 Glacier
Deep Archive Tier
โ†‘ Lifecycle
โ†“30%
Storage Costs
โ†“ Reduced
KMS
Encryption
โ†‘ Secured
โ†“30%
Storage Cost
โ†“ Archival tiers
100%
Compliance
โ†‘ Achieved
100%
Durability
โ†‘ Glacier DA
01
Archive-Oriented Storage Delivery
Optimizing Archival Storage and Retention Management for SoulTrps
Company Overview

SoulTrps is a fast-growing health and wellness technology platform offering telehealth video streaming, live wellness sessions, and on-demand digital content. The business manages growing volumes of logs, session records, and compliance-related data requiring long-term retention.

The Challenge

Challenges

๐Ÿ“ˆ
Growing Historical Data
The platform needed a scalable way to manage growing volumes of historical logs and compliance-related records.
๐Ÿ’ธ
High Storage Costs
Inactive data was being retained in higher-cost storage tiers, increasing operational expenses.
๐Ÿ”’
Long-Term Retention Requirements
The organization required secure archival storage with stronger retention management and durability.
Solutions Provided

Solutions Provided

๐Ÿ—๏ธ
Archive-Oriented Storage Design
Implemented Amazon EC2 as the application tier and Application Load Balancer to distribute traffic across the environment.
โ™ป๏ธ
Lifecycle-Based Archival
Used Amazon S3 as the archival object storage layer and configured lifecycle policies to transition infrequently accessed data into Amazon S3 Glacier Deep Archive.
๐Ÿ›ก๏ธ
Secure Storage Management
Used AWS KMS for encryption and Amazon CloudWatch for monitoring.
Result Outcome

Result Outcome

โšก
Improved Storage Efficiency
Separated active operational workloads from archival storage to improve lifecycle management.
๐Ÿ’ฐ
Reduced Long-Term Storage Cost
Optimized archival storage through lifecycle-based transitions into colder storage tiers.
๐Ÿ—‚๏ธ
Enhanced Retention Management
Strengthened long-term durability and secure retention of historical records.
๐Ÿ“‰
0%
Long-Term Storage Cost Reduced
Through archival lifecycle policies
โœ…
0%
Compliance Readiness
Improved archival durability
๐Ÿ”’
0%
Retention Management
Historical records secured
Success Metrics

Success Metrics

โœ• Before
  • Inactive data stored in high-cost tiers, increasing expenses
  • No lifecycle policies โ€” data not transitioned to cold storage
  • Growing volumes of logs with no archival strategy
  • No structured retention management for compliance records
  • Active and inactive data mixed in same storage layer
โœ“ After
  • Reduced long-term storage costs through archival lifecycle policies
  • Improved retention management for historical records
  • Better separation of active and inactive data
  • Improved archival durability and compliance readiness
  • Secure encryption via AWS KMS across all archived data

The engagement created a scalable archival storage foundation capable of supporting long-term retention and future growth.

Technology Stack

AWS Services Deployed

๐Ÿชฃ
Amazon S3
Archival Object Storage
๐ŸงŠ
S3 Glacier Deep Archive
Cold Storage Tier
๐Ÿ–ฅ๏ธ
Amazon EC2
Application Tier
โš–๏ธ
Application Load Balancer
Traffic Distribution
๐Ÿ”‘
AWS KMS
Encryption
๐Ÿ“Š
Amazon CloudWatch
Monitoring
โ™ป๏ธ
S3 Lifecycle Policies
Data Tiering
๐Ÿ“‹
Retention Management
Compliance Readiness
Accepting New Enterprise Clients

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