What We Build
Event-Driven Applications
React to events and scale without manual capacity planning.
Scalable Backend Services
Grow with traffic, shrink to zero when idle.
Data Processing Pipelines
Event-triggered processing without idle clusters.
Workflow Orchestration
Multi-step processes with built-in retries and human checkpoints.
Real-Time Stream Processing
Immediate processing where seconds matter.
Scheduled Automation
Recurring jobs without recurring server costs.
Serverless Design Patterns
Function Architecture
Right-sized functions with testable, maintainable boundaries.
Event Choreography
Loose coupling through events and clear schema management.
State Management
Stateless compute with durable storage and explicit data flows.
Edge Execution
Logic placed close to users for lower latency on sensitive paths.
How We Work
Fit Assessment
We test whether serverless fits your traffic, latency, and cost profile.
Architecture Design
Event flows and error handling built for operational clarity.
Implementation
Built with your team so it’s understandable and easy to extend.
Observability
Tracing across functions so failures are diagnosable.
Cost Engineering
Tuning memory, concurrency, and execution paths to control spend.
Documentation
Event flows and runbooks for operational clarity.
When to Call Us
Traffic is spiky and unpredictable
Match capacity to demand without over-provisioning.
Paying for idle servers
We move the right workloads to pay-per-use.
Need to build without managing infrastructure
We push the ops work to the platform where it makes sense.
Batch processing needs to become real time
We redesign for event-driven processing.
Evaluating if serverless fits
A clear go or no-go with trade-offs.
Frequently Asked Questions
What about cold starts?
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We design for real latency requirements and use warm paths when needed.
Is serverless actually cheaper?
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For variable workloads, often yes. For steady high volume, traditional compute can be cheaper.
How locked in will we be?
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Some lock-in is the trade for managed operations. We keep boundaries where portability matters.
Can serverless handle complex workflows?
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Yes, with proper orchestration and state management.
How do you handle state?
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State lives in durable storage. Functions stay stateless and replaceable.
What about high-throughput scenarios?
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We design concurrency and downstream limits so the system scales safely.