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Letting Data Speak, AI Act!
Case Study
Workload migration from on-prem to AWS - MAP Assessment
About the Client
A mid-size K-12 ed-tech SaaS with 20+ years’ experience builds cloud learning platforms used nationwide. Its system handles heavy concurrent traffic, making this case relevant to any content-heavy SaaS managing large unstructured data in an older co-located setup.
Challenge
Move stateful PHP learning platform from co-location to AWS.
Migrate 15-node web tier + 4-node MariaDB cluster
340 TB of unstructured data (~914 M small objects) with no defined migration path.
15 Mbps bandwidth made online data transfer impractical.
PHP app relied on local sessions, filesystem cache, and temp files, complicating scaling.
Database required a near-zero downtime migration while serving live users.
Key Results
Cut 340 TB data transfer from ~1+ year to ~5–6 weeks using a hybrid Snowball Edge + DataSync approach.
Slashed cloud storage costs ~62% with lifecycle transition to Glacier Instant Retrieval, paying back the one-time investment in ~6 months.
Enabled near-zero downtime DB migration with AWS DMS CDC and cross-region replica, achieving seconds-lag RPO and minute-scale RTO.
Saved ~20–25% in app infrastructure costs by using a fixed 15-instance EC2 setup instead of Auto Scaling, avoiding ~$800–$1,100/mo in excess S3 request fees.Cut 340 TB data transfer from ~1+ year to ~5–6 weeks using a hybrid Snowball Edge + DataSync approach.
Slashed cloud storage costs ~62% with lifecycle transition to Glacier Instant Retrieval, paying back the one-time investment in ~6 months.
Enabled near-zero downtime DB migration with AWS DMS CDC and cross-region replica, achieving seconds-lag RPO and minute-scale RTO.
Saved ~20–25% in app infrastructure costs by using a fixed 15-instance EC2 setup instead of Auto Scaling, avoiding ~$800–$1,100/mo in excess S3 request fees.
Solution
Structured Engagement: Delivered a MAP Assessment with a migration roadmap, architecture design, and TCO analysis across four workstreams.
Infrastructure Discovery: Documented the co-location stack (15-node web tier, 4-node Galera cluster, load balancers, network), baseline OpEx, and stateful app characteristics to inform architecture.
Storage Migration Plan: Designed a hybrid Seed & Sync path using Snowball Edge + DataSync to migrate ~340 TB (~914 M objects) with validation layers and rollback procedures
Database Migration: Used AWS DMS with Full Load + CDC to achieve near-zero downtime to RDS MariaDB (Multi-AZ + cross-region replica) with cost-saving reserved instance guidance.
App Architecture Evaluation: Compared fixed 15-instance EC2 (recommended) vs Auto Scaling with externalized session/cache; recommended fixed for cost efficiency given workload patterns.
S3 Strategy & Lifecycle: Phased Intelligent-Tiering in Year 1 and Glacier Instant Retrieval from Year 2 onward (~62% storage cost reduction), with strong security controls (encryption, bucket policies, MFA Delete).
Technologies Used
AWS Snowball Edge Storage Optimized (Physical Data Transfer)
AWS DataSync (Enhanced Mode — Delta Sync)
Amazon S3 (Intelligent-Tiering, Glacier Instant Retrieval, Lifecycle Management)
AWS Database Migration Service (DMS) with Change Data Capture (CDC)
Amazon RDS for MariaDB (Multi-AZ, Cross-Region Read Replica)
Amazon EC2 (t3a.large) with Application Load Balancer (ALB)
AWS CloudWatch (Monitoring, Transfer Validation, DB Insights)
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