Serverless Architecture

Design event-driven serverless architectures by applying patterns for functions responding to API calls, queues, schedules, and streams. This approach uses templates and best practices to deploy scalable API backends across AWS Lambda, Azure Functions, and Google Cloud Functions.

Deploy serverless functions across major clouds using operational templates and code samples. Apply cross-cloud FaaS patterns to scaffold HTTP event handlers via API Gateway, HTTP triggers, or Pub/Sub for consistent deployment.

Yes, you can orchestrate event-driven workloads across FaaS runtimes. The approach applies architectural patterns to coordinate functions responding to queues and streams, providing runbooks for operational management across AWS, Azure, and Google Cloud.

Optimize serverless costs and monitor FaaS applications by applying operational runbooks and best practices. Reusable templates help track function execution, manage resource allocation, and enforce cost optimization across AWS Lambda, Azure Functions, and Google Cloud Functions.

Serverless architecture may not suit workloads requiring long-running processes or strict state management. While FaaS platforms excel at event-driven tasks, constraints like execution timeouts and cold starts limit their use for sustained, heavy computational tasks.