Serverless Development
Serverless architecture shifts infrastructure management to the cloud provider so that your team focuses on application logic rather than servers. We design serverless systems that are event-driven, scalable, and cost-effective — and we are honest about the trade-offs before we recommend the pattern.
Serverless services we provide
Each technology has its own dedicated page covering capabilities, architecture patterns, and what an engagement looks like.
Category
Functions as a Service
FaaS platforms let you deploy individual functions without managing servers. Lambda, Cloud Functions, and Azure Functions compared.
View service →AWS · Serverless
AWS Lambda
Event-driven compute using Lambda, EventBridge, API Gateway, DynamoDB, and Step Functions.
View service →Google Cloud · Serverless
Google Cloud Functions
HTTP and event-driven functions on Google Cloud, integrated with Pub/Sub, Cloud Storage, and Firestore.
View service →Microsoft Azure · Serverless
Azure Functions
Serverless functions on Azure with Durable Functions for stateful workflows and Service Bus integration.
View service →AWS · API
AWS API Gateway
REST and HTTP APIs on API Gateway with Lambda integration, authorization, throttling, and usage plans.
View service →AWS · Messaging
AWS SQS
Decoupled message queuing with SQS standard and FIFO queues, dead-letter queues, and Lambda consumer integration.
View service →AWS · Messaging
AWS SNS
Fan-out notifications and pub/sub messaging with SNS topics, subscriptions, and filtering policies.
View service →AWS · Events
AWS EventBridge
Event bus architecture for routing events between AWS services, SaaS applications, and custom event sources.
View service →AWS · Orchestration
AWS Step Functions
Serverless workflow orchestration for multi-step processes, retry logic, parallel execution, and human approval steps.
View service →When serverless makes sense
Serverless works well for workloads that are event-driven, intermittent, or bursty — things like processing an uploaded file, responding to a webhook, sending notifications, or running scheduled data transforms. You pay for execution time rather than idle servers, and the cloud provider handles scaling automatically.
When it does not
Serverless is a poor fit for long-running processes, applications with tight latency requirements that cannot tolerate cold starts, or systems that need persistent in-memory state. We will tell you when a traditional server or container is the better choice.
Event-driven design
Most serverless systems are event-driven at their core. Events flow from producers (API calls, file uploads, scheduled triggers, queue messages) through an event bus or queue to consumers (Lambda functions, Step Functions workflows). Getting the event schema and routing right from the start determines how extensible the system is later.
Observability is not automatic
A serverless system spans many managed services, which makes tracing a request across those services harder than in a monolith. We set up distributed tracing, structured logging, and CloudWatch dashboards as part of every serverless deployment — not as an afterthought.
Common questions
Planning a serverless system?
If you are designing a serverless architecture or evaluating whether serverless is the right fit for your workload, reach out and we will assess the requirements together.
Get in touchPurcellville, Virginia · US-based engineering