High-Load Backend & Performance Engineering
Backends that stay fast when traffic spikes: scalable APIs, MQTT message brokers and databases, proven with load tests before your users find the limits. Built by the team that runs the LaMetric cloud: about 75,000 devices online, weather delivered to every device every hour, 99.9% uptime.
Devices online
Uptime
Data deliveries a day
Fleet monitoring and support
The problem
Systems that work in testing slow down or fail under real traffic: synchronised spikes, slow queries, overloaded brokers and no idea where the limit is.
Traffic spikes
Thousands of clients connect or report at the same moment: after an outage, a release or on the hour.
Unknown limits
No load tests, so the first real peak finds the bottleneck.
Scaling by adding servers
Costs rise faster than traffic because the system does not scale out cleanly.
What we do
Load tests, a capacity plan and the fixes, from the API layer down to the database.
Load testing and capacity planning
Horizontal scaling of APIs, workers and MQTT brokers
Database and cache performance tuning
Back-pressure, rate limits and graceful degradation
Scheduled delivery at scale, such as hourly updates to every device
How we work
1. Measure
2. Find the limits
3. Fix and scale
4. Prove it
5. Keep it fast
Planning something similar?
Tell us where you are. A senior engineer replies within one business day.
Related services
FAQ
Which clouds do you work with?
What scale do you run yourselves?
Can you improve an existing system?
Talk to an engineer, not a salesperson
Idea, prototype, production or a fleet in the field: tell us where you are. A senior engineer replies within one business day.
Your benefits:
- Senior embedded engineers
- Hardware, firmware and cloud
- From prototype to fleet
- Clear scope and next steps
- Direct technical answers
- No sales pitch
What happens next?
A free 30-minute call with a senior engineer
A short technical discovery
A proposal with scope, timeline and cost