Serverless Development Services

Serverless development means building applications using cloud services that automatically scale and charge only for actual usage. You write functions that run in response to events—no servers to provision, maintain, or scale. AWS Lambda, Google Cloud Functions, and Azure Functions are the main platforms.

It depends on your traffic pattern. For variable workloads with quiet periods, serverless can be 60-80% cheaper since you pay nothing when idle. For consistent high traffic 24/7, traditional servers may be more cost-effective. We provide cost projections during our assessment.

Cold starts are real but manageable. Typical cold starts are 100-500ms for Node.js/Python. We optimize function size, use provisioned concurrency for latency-sensitive endpoints, and design architectures that minimize cold start impact. For most applications, users don't notice.

Yes, we do serverless migrations. We assess your current architecture, identify which components benefit from serverless, and create a phased migration plan. Not everything should be serverless—we're honest about what should stay on containers or servers.

AWS Lambda is the most mature with the richest ecosystem. Google Cloud Functions are great if you're already on GCP or need Firebase integration. Azure Functions work well in Microsoft-heavy environments. We recommend based on your existing infrastructure and specific needs.

Serverless has security advantages: no servers to patch, automatic isolation, reduced attack surface. We implement proper IAM roles, encrypt data at rest and in transit, validate inputs, and follow cloud security best practices. For sensitive applications, we conduct security audits.

Node.js, Python, and Go are our primary choices for Lambda—they have the fastest cold starts. Java and .NET are supported but have longer cold starts. We choose based on your team's expertise and project requirements.

Yes. Lambda scales automatically to thousands of concurrent executions. We've built serverless systems handling millions of events daily. The key is proper architecture—async processing, queue-based workflows, and efficient function design.

DynamoDB is the serverless-native choice—scales automatically with no connection limits. Aurora Serverless works for relational data. Traditional databases (RDS, MongoDB) work but need connection pooling. We design data architecture alongside compute.

Absolutely. We offer serverless assessments, architecture reviews, and cost analysis. You'll get a detailed report with recommendations you can implement yourself or hire us to build.

Local development with SAM or Serverless Framework, unit tests for business logic, integration tests against deployed resources. AWS X-Ray for distributed tracing, CloudWatch for logs and metrics. Debugging serverless requires different patterns—we have them down.

Lambda has a 15-minute timeout. For longer processes, we use Step Functions to chain functions, AWS Fargate for containerized workloads, or traditional servers. We design hybrid architectures that use serverless where it fits.