- Case Study
Date
November 12, 2024
Client
DataWave Analytics
Category
Cloud Solutions
Location
Chicago, IL, USA
DataWave Analytics needed a scalable, cost-efficient cloud infrastructure to support their expanding SaaS platform, which served 1,000+ users. Their legacy servers were unreliable, and cloud costs were unsustainable. AlphaTwelve migrated their systems to AWS, optimized resources, and implemented disaster recovery to ensure uptime and savings. The project aimed to reduce costs by 30% and support 50% traffic growth.
Challenge & Solution
Challenge: 10% monthly downtime disrupted 20% of users, and $5,000/month cloud costs consumed 15% of revenue, threatening profitability.
Solution: Executed a zero-downtime AWS migration, configured auto-scaling, and optimized costs with reserved instances and robust backups.
Our Process
Audited legacy servers and user traffic patterns over 5 days to plan AWS migration.
Migrated 500 GB of data to AWS EC2, RDS, and S3 in 4 weeks, using AWS Migration Hub.
Configured auto-scaling groups and Elastic Load Balancers to handle 50% traffic spikes.
Optimized compute and storage, saving 30% via reserved instances and right-sizing.
Set up automated daily backups to S3 and disaster recovery with 1-hour RTO.
Trained DataWave’s team on AWS Console and provided monthly cost reports.
Result Driven
Achieved 99.9% uptime (from 90%), reduced cloud costs to $3,500/month (30% savings), supported 2,500 users (150% growth), and saved $18,000/year in downtime costs. DataWave reported improved client trust and a 20% increase in subscription renewals.