Serverless
Serverless is the architecture pattern we use for event-driven workloads, scheduled jobs, and unpredictable traffic: Lambda, Cloud Functions, and edge runtimes that scale automatically without managing servers.
Serverless for the workloads that fit
We use serverless to handle webhook events, scheduled tasks, image processing, and integration workloads where steady-state servers would waste money. AWS Lambda for most workloads, edge runtimes when latency matters, container-based options when serverless does not fit.
Pay for what you use, not what you might
We use serverless when the workload fits: bursty traffic, event-driven processing, scheduled jobs, or anywhere paying per request beats paying per running instance. We are honest when containers or traditional servers are the better answer.
Scale automatically, no babysitting
Serverless functions scale from zero to thousands of concurrent invocations without us configuring autoscaling groups. Important for unpredictable traffic patterns or bursty workloads where steady-state servers would either over-provision or fall behind.
Real cost savings on bursty traffic
Serverless wins on cost when traffic is unpredictable or low-baseline. You pay per request, not per running server. We have cut hosting bills significantly for clients with bursty workloads by moving the right pieces to Lambda or edge runtimes.
Cold starts handled properly
Cold starts are real but solvable. We use provisioned concurrency for latency-sensitive paths, smaller bundles, lighter runtimes, and warm-up strategies where they matter. The boring engineering work that keeps users from noticing the difference.
Event-driven by default
Lambda, EventBridge, SQS, and Step Functions let us build systems that react to changes instead of polling for them. Webhook processing, scheduled jobs, file processing, integration glue: the work that does not need a server running 24/7.
Pragmatic, not dogmatic
We do not push serverless for everything. Steady high-throughput services, latency-critical paths, and stateful workloads usually run cheaper and faster on containers. We help teams pick based on real workload patterns, not architectural fashion.
Production-grade serverless engineers
We have shipped serverless workloads for fintech APIs, e-commerce backends, and SaaS products: webhook processors, scheduled jobs, image processing pipelines, and event-driven integrations. Real production work, not toy demos.
Frequently Asked Questions
Common questions before working with us.
When does serverless save money compared to containers?
What are the real downsides of serverless?
Should we go fully serverless or use a hybrid architecture?
