Build scalable, event-driven serverless applications with AWS Lambda. Our expert team designs and implements Lambda functions that respond to events from API Gateway, SQS, SNS, EventBridge, S3, and DynamoDB Streams. We specialize in cold start optimization, Lambda Layers for code sharing, and Lambda@Edge for edge computing with CloudFront.
From simple API backends to complex Step Functions orchestrations, we architect serverless solutions that scale automatically, reduce operational overhead, and optimize costs. Our Lambda development includes API Gateway REST and HTTP APIs, EventBridge Pipes for event transformation, SQS FIFO for ordered processing, and comprehensive monitoring with CloudWatch, X-Ray, and AWS Powertools for Lambda.
Design and implement Lambda functions triggered by API Gateway, SQS, SNS, EventBridge, S3 events, and DynamoDB Streams. Build reactive, scalable architectures that respond to events in real-time with automatic scaling and pay-per-use pricing.
Build serverless REST and HTTP APIs with API Gateway. Implement request validation, authentication with Cognito or custom authorizers, response transformation, throttling, caching, and WebSocket APIs for real-time communication with automatic scaling.
Orchestrate complex workflows with AWS Step Functions. Build state machines that coordinate multiple Lambda functions, handle error retry logic, parallel processing, wait states, and human approval steps with visual workflow design and automatic state management.
Minimize Lambda cold starts with provisioned concurrency, optimized deployment packages, runtime selection, and initialization code optimization. Implement warming strategies, SnapStart for Java, and ARM Graviton2 processors for improved performance and cost efficiency.
Share code across functions with Lambda Layers for common libraries, SDKs, and utilities. Implement Lambda Extensions for monitoring, observability, security scanning, and custom runtime modifications. Reduce deployment package size and improve code reusability.
Run Lambda functions at CloudFront edge locations for low-latency request/response manipulation, A/B testing, authentication, URL rewrites, and dynamic content generation. Deploy code globally to reduce latency and improve user experience with edge computing.
Choose the engagement model that works best for your Lambda development needs
Use Lambda for event-driven workloads, APIs with variable traffic, scheduled tasks, and processing streams. Lambda eliminates server management, scales automatically, and charges only for execution time. Choose EC2 for long-running processes, custom operating systems, GPU workloads, or applications requiring persistent connections. Lambda is ideal for microservices, API backends, data processing, and automation tasks.
We minimize cold starts through provisioned concurrency for latency-sensitive functions, optimized deployment packages by removing unused dependencies, efficient runtime selection like Node.js or Python, initialization code optimization by moving setup outside handlers, Lambda SnapStart for Java applications, and ARM Graviton2 processors for better performance. We also implement warming strategies for critical paths and use Lambda Extensions for shared resources.
We optimize costs through right-sized memory allocation (memory determines CPU), ARM Graviton2 processors for 20% cost savings, efficient code to reduce execution time, Lambda Layers to reduce deployment package size, reserved concurrency to prevent over-provisioning, and CloudWatch metrics analysis to identify optimization opportunities. We also implement batching for event sources like SQS and DynamoDB Streams to reduce invocation counts.
Lambda has a 15-minute maximum execution time, 10GB memory limit, 512MB /tmp storage, and 250MB deployment package size. We work around these by using Step Functions for long-running workflows, EFS for large storage needs, Lambda Layers to reduce package size, streaming responses for large payloads, and S3 for data persistence. For high throughput, we use reserved concurrency and request quota increases. Complex workflows are broken into smaller functions orchestrated by Step Functions.
Complete AWS cloud infrastructure and DevOps automation services
Virtual server provisioning, Auto Scaling, and instance optimization
Serverless container orchestration with ECS and EKS
EventBridge, SNS, SQS, and event-driven design patterns
Build event-driven applications that scale automatically and reduce operational overhead
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