Run only what you use. Pay only for what runs.
Serverless changes the math on hosting. Instead of paying for servers running 24/7 mostly idle, you pay only when your code actually runs. For workloads that fit, costs drop 60–90% — and operational burden drops more. We design and build serverless systems that actually deliver on that promise.
Why server-based hosting is expensive.
EC2 instances running 24/7 at 8% utilization.
You pay full price for 24 hours. You use 2. The other 22 are pure waste.
Scaling means scary capacity-planning meetings.
Black Friday. Marketing event. New product launch. Will we have enough? Did we buy too much? Nobody knows.
Servers need patching.
OS updates, runtime updates, security fixes. Real engineering time every month for things that should just work.
Idle environments still cost money.
Staging environment runs 24/7 even though nobody uses it on weekends. $400/month gone.
What we design.
- 01
Workload fit assessment
Honest evaluation: which parts of your app fit serverless, which don't. Not religious about it.
- 02
Reference architecture
Functions, queues, event buses, storage, observability. Cleanly structured. Cost-efficient.
- 03
Migration path
If modernizing, phased: hottest cost candidates first. Not all-or-nothing.
- 04
Observability built in
Distributed tracing, cold-start metrics, error tracking. Serverless without observability is invisible.
- 05
Cost monitoring + alerts
Serverless can surprise you both ways. We instrument cost so you know what you're spending and why.
- 06
Team training
Serverless requires different patterns. We pair with your team so they own the new stack.
When serverless fits, when it doesn't.
Honest answers. Not every workload belongs on serverless.
| Fits well | Sometimes fits | Doesn't fit | |
|---|---|---|---|
| Workload type | Event-driven, APIs, batch | Web apps with bursty traffic | Long-running compute, gaming, ML training |
| Traffic pattern | Bursty, unpredictable | Mostly daytime | Steady 24/7 |
| Latency tolerance | Tolerant of cold starts | Mostly OK | Sub-100ms required |
| Cost vs. traditional | 60–90% cheaper | Maybe 30% cheaper | Often more expensive |
| Operational overhead | Near zero | Low | Saved by traditional hosting |
Serverless platforms.
What serverless can deliver.
Typical when workload fits. We assess honestly first.
Cloud provider runs the underlying OS. Your time goes to product.
After tuning on Lambda. Sub-10ms on Cloudflare Workers.
Serverless scales transparently. Black Friday traffic without capacity-planning meetings.
“We had a $14k/month EC2 bill for a customer-facing API that ran maybe 10% utilized. Senator rebuilt it on Lambda + DynamoDB in 8 weeks. Now we pay $1.8k. Same performance. Better resilience. CFO sent a thank-you note.”
Who needs this.
- Firms with bursty or unpredictable traffic patterns.
- Cloud-native engineering teams whose hosting costs are out of proportion to actual usage.
- New builds where serverless can be designed in from the start.
- Anyone whose engineering team spends more time on infrastructure than on product.
Q01Will we be locked in to one cloud?
Will we be locked in to one cloud?
Some yes — Lambda's interface is AWS-specific. We mitigate by structuring business logic separately from platform glue, so portions remain portable.
Q02What about cold starts?
What about cold starts?
Real concern. Mitigated by runtime choice, provisioned concurrency, and edge-first platforms like Cloudflare Workers. We measure and tune.
Q03Can we run a database serverless too?
Can we run a database serverless too?
Yes — Aurora Serverless, DynamoDB on-demand, Cloudflare D1, Neon. Each fits different patterns. We pick per workload.
Q04How do we monitor serverless?
How do we monitor serverless?
Distributed tracing is essential. We deploy Datadog, Honeycomb, or AWS X-Ray, and instrument from day one.
Free serverless fit assessment.
Send us a description of your current workload (or a new build you're planning). We'll tell you honestly whether serverless fits and a rough cost projection.