Serverless.
Pay for execution, not for servers.
Event-driven architecture that removes over-provisioning when load is variable.

Savings curve
12 months
Bars: cumulative savings (rising). Line: monthly cost (falling). Savings exceed 70% in the first year.
~70%
Avg savings
0
Servers
Auto
Scaling
3–8 wks
Migration
Traditional
- Servers running 24/7 even with no traffic
- Manual or semi-automatic scaling
- Dedicated ops team required
- High fixed monthly costs
- Patches and updates are your responsibility
Serverless
- Execution only on events
- Instant, automatic scaling
- No server administration
- Pay per millisecond of execution
- Infrastructure managed by the provider
From always-on to event-driven.
After incremental serverless migration: monthly cost falls; cumulative savings rise.
What you gain with serverless.
Pay for actual use
You only pay for consumed compute. No idle instances.
Native auto-scaling
From 0 to thousands of requests without configuring clusters.
Zero maintenance
No patches, no certificate rotation, no on-call nights.
Time-to-market
Deployments in minutes. Faster iteration than VMs or containers.
High availability
Multi-AZ by default. Resilience built into the platform.
Managed security
Granular IAM, encryption at rest and in transit with no extra config.
From monolith to serverless in five phases.
Phase 01
Assessment
Mapping workloads, dependencies, and current costs.
Phase 02
Design
Event-driven architecture, service selection, and migration plan.
Phase 03
Incremental migration
Critical functions first. No big-bang, no downtime.
Phase 04
Optimization
Cold starts, reserved concurrency, and cost tuning.
Phase 05
Continuous operation
Observability, alerts, and stack evolution.
The most mature serverless ecosystem.
Lambda at the core, with Step Functions, API Gateway, and DynamoDB for full serverless workflows.
Serverless is just one piece.
We design the full cloud architecture: networking, containers, edge, and more.
Join Orbit.
Power your infrastructure by applying serverless to operational processes — event-driven on AWS, Azure, or GCP, with measurable savings and continuous evolution without a big-bang.
