Proof, Not Promises. Four companies across Central Asia. Different industries, same result: lower costs, higher reliability, and infrastructure they never have to think about.
Four companies across Central Asia. Different industries, same result: lower costs, higher reliability, and infrastructure they never have to think about.
47%
Avg. cost reduction
2.7×
Faster than AWS
0
Downtime migrations
24h
Avg. migration time
45%
cost saved
36 hours
to migrate
Central Asia FinTech
A regional payment processing company needed sub-5ms transactions and full data sovereignty — without compromising on reliability.
Their legacy infrastructure ran on European AWS regions, causing 80–120ms latency for local users. Regulatory changes required all customer data to be stored within Uzbekistan. Their dev team was spending 30% of engineering time just managing servers.
We migrated their entire payment stack to Hyper App in 36 hours — zero downtime. We set up dedicated compute nodes for their transaction processing engine, replicated their PostgreSQL cluster locally, and handed them a compliant, sub-5ms setup.
Results
| Metric | Before | After |
|---|---|---|
| Latency | 80–120 ms | < 4 ms |
| Monthly cloud cost | $12,400 | $6,800 |
| Compliance status | Non-compliant | Law 213 compliant |
| Engineering time on infra | 30% | < 5% |
“We went from worrying about compliance audits to passing our first one with zero findings. The latency drop alone made our customers notice.”— CTO, Central Asia FinTech
48%
cost saved
48 hours
to migrate
Regional E-Commerce Platform
A marketplace with 2M+ registered users needed to survive a 10× traffic spike during a major sales event — without pre-buying expensive reserved capacity.
Their previous cloud setup was rigid: fixed compute that couldn't scale fast enough. During their last big promotional event, the site went down for 4 hours. They lost an estimated $180,000 in sales and hundreds of angry merchant complaints.
We designed an elastic compute setup: a base cluster that handles normal traffic, with burst nodes that spin up automatically within 60 seconds when load spikes. Their CDN, load balancers, and database replicas all live on Hyper App now.
Results
| Metric | Before | After |
|---|---|---|
| Peak event uptime | Down for 4 hrs | 100% — zero incidents |
| Monthly infrastructure cost | $18,200 | $9,400 |
| Time to scale up under load | Manual (20+ min) | Automatic (< 60s) |
| Support tickets during sale | 340+ complaints | 0 infrastructure issues |
“Our biggest sale ever ran on Hyper App. We hit 10× normal traffic and the dashboard barely moved. First time in three years we weren't in crisis mode during a sale.”— Head of Engineering, Regional E-Commerce Platform
68%
cost saved
1 weekend
to migrate
National Restaurant Chain
A 60-location restaurant chain running their POS and inventory system on a single physical server in a back office — one power cut away from total chaos.
Their entire operation — POS terminals, kitchen displays, inventory, loyalty program — depended on one aging server in their head office. Twice in the past year it had failed, forcing all locations to switch to manual order-taking. Their IT manager was the only person who knew how to restart it.
We migrated their operations stack to Hyper App in one weekend. All 60 locations now connect to a redundant cloud cluster. We set up automatic failover so if one server has a problem, another takes over in under 10 seconds — automatically, no IT intervention required.
Results
| Metric | Before | After |
|---|---|---|
| Single point of failure | 1 physical server | 3-node redundant cluster |
| Unplanned downtime / year | ~14 hours | 0 hours |
| IT dependency | 1 person | Managed by Hyper App team |
| Monthly ops cost | $3,100 (server + IT) | $980 |
“We haven't had a single outage in 8 months. Before, every week I was worried about the server dying during a Friday dinner rush. Now I don't think about it.”— Operations Director, National Restaurant Chain
N/A (greenfield)
cost saved
Same day setup
to migrate
B2B SaaS Startup
An early-stage startup went from 0 to 50,000 active users in 4 months — without ever worrying about scaling their infrastructure.
The founders were engineers building a product, not infrastructure specialists. They started on shared hosting, but as users grew, performance degraded fast. They needed proper cloud infrastructure but didn't have time to become DevOps experts or money to hire someone full-time.
We set up a production-ready environment from day one: auto-scaling compute, managed PostgreSQL, Redis caching, S3-compatible object storage, and monitoring dashboards — all pre-configured. When they hit growth milestones, resources scaled automatically. They never had to touch the infrastructure.
Results
| Metric | Before | After |
|---|---|---|
| Users at launch | 0 | 50,000 in 4 months |
| Infrastructure incidents | N/A | 0 in first year |
| DevOps engineering cost | $6,000/mo (contractor) | $0 (managed by us) |
| Time founders spent on infra | ~15 hrs/week | < 30 min/week |
“We built a product instead of managing servers. That's the whole story. Hyper App handled everything infra-related so our team could just ship features.”— Co-founder & CEO, B2B SaaS Startup