AWS Lambda DevelopmentAWS Lambda Development Company
Run Code Without Managing Servers
AWS Lambda lets you run code in response to events without provisioning or managing servers. Matlab Infotech designs serverless architectures with Lambda at the core — event-driven functions, microservices APIs, and data pipelines that scale to millions of executions per day and charge only for the milliseconds of compute actually used.
1M+
Max Free Requests/Month
15 min
Max Function Timeout
10 GB
Max Function Memory
40%
Cost Reduction with ARM Lambda
Why AWS Lambda
Why AWS Lambda for Your Backend
Zero Infrastructure Ops
No servers, no patching, no capacity planning — Lambda provisions and runs your code automatically.
Instant Elastic Scale
Lambda scales from zero to thousands of concurrent executions in seconds without manual intervention.
Pay Only for Execution
Charged per request and millisecond of compute — idle time costs nothing, making Lambda ideal for variable workloads.
Built-In Security
IAM execution roles, VPC integration, Secrets Manager, and per-function least-privilege policies.
Deep AWS Integration
Native triggers from API Gateway, S3, DynamoDB Streams, SQS, SNS, EventBridge, and 200+ AWS services.
Fast Iteration
Deploy a single function in seconds — no full application deployment pipeline needed for isolated changes.
What We Offer
Our AWS Lambda Development Services
Serverless API Development
REST and GraphQL APIs built with Lambda + API Gateway or Function URLs — zero server management.
Event-Driven Pipelines
S3, SQS, DynamoDB Streams, and EventBridge triggers for real-time data processing pipelines.
Serverless Architecture Design
Full serverless system design — Lambda, API Gateway, DynamoDB, SQS, S3, and EventBridge orchestration.
Lambda Security
IAM least-privilege roles, VPC placement, Secrets Manager integration, and function URL auth.
Performance Optimisation
Cold start reduction via provisioned concurrency, Lambda SnapStart, and bundle size optimisation.
Cost Analysis & Optimisation
ARM/Graviton2 Lambda, memory tuning with Lambda Power Tuning, and Compute Savings Plans.
Infrastructure as Code
Lambda deployments via Terraform, CDK, SAM, or Serverless Framework with versioning and aliases.
Observability Setup
CloudWatch Logs, X-Ray distributed tracing, Lambda Insights, and alerting for production Lambda fleets.
What We Build
Business Solutions We Deliver with AWS Lambda
Serverless APIs
REST APIs with Lambda + API Gateway serving millions of requests at any scale without servers.
Real-Time Data Processing
Stream processing from Kinesis, DynamoDB Streams, and SQS with Lambda consumers.
Scheduled Jobs
EventBridge-scheduled Lambda functions replacing cron servers for reports, cleanups, and syncs.
File Processing
S3-triggered Lambda for image resizing, document conversion, and media transcoding.
Webhooks & Integrations
Lightweight webhook receivers for Stripe, Slack, GitHub, and third-party API callbacks.
AI Inference Endpoints
Lambda functions wrapping SageMaker, Bedrock, or OpenAI API calls for ML inference.
Notification Services
SES-triggered Lambda for email processing, SNS-Lambda for push notification delivery.
Auth Flows & Cognito Triggers
Cognito Lambda triggers for custom auth flows, pre-signup validation, and post-confirmation events.
Technology Stack
Tools & Technologies We Pair with AWS Lambda
Runtimes
Triggers
IaC
Observability
Optimisation
How We Work
Our AWS Lambda Development Process
Discovery & Planning
We align on goals, architecture choices, and technical constraints before writing a single line of code.
UI/UX Design
Research-led wireframes and interactive prototypes validated with stakeholders before development begins.
Agile Development
Two-week sprints with working demos, automated testing, and a shared staging environment.
QA & Testing
Manual, automated, performance, and security testing baked into every sprint — not bolted on at the end.
Launch & Support
Zero-downtime deployments, monitoring setup, and a 90-day support window to ensure a smooth go-live.
Why Matlab Infotech
Why Choose Us for AWS Lambda Development
Dedicated Team
A focused team exclusively on your project — no context switching, no shared resources.
Agile Delivery
Two-week sprints with working demos so you always see progress and can course-correct early.
Flexible Engagement
Fixed-scope, dedicated, or hourly — choose the model that matches your budget and timeline.
NDA & IP Protection
Full IP ownership, signed NDA before work starts, and secure development environments throughout.
Transparent Communication
Slack-first async updates with daily standups and a dedicated PM keeping you in the loop.
90-Day Support
Post-launch warranty and optional retainer plans to keep your product healthy and evolving.
Industry Solutions
AWS Lambda Solutions Across Industries
Engagement Models
Flexible Hiring Models for AWS Lambda Development
Dedicated Team
From $25/hr
Full-time developers assigned exclusively to your project — no shared resources, no context switching.
- Dedicated developers
- Daily standups
- Scale monthly
- Full IP ownership
Hourly / Part-Time
From $20/hr
Pay only for the hours you use. Ideal for ongoing maintenance, reviews, and iterative improvements.
- Flexible hours
- No minimum commitment
- Weekly billing
- Pause anytime
Fixed Scope
Project-based
Agree on deliverables and price upfront. Best for well-defined projects with clear requirements.
- Fixed price
- Milestone delivery
- No surprises
- Money-back guarantee
Technology Comparison
AWS Lambda vs Other Technologies
| Feature | AWS Lambda | EC2 / Always-On Server |
|---|---|---|
| Infrastructure Management | Zero — fully managed by AWS | Patching, scaling, capacity planning |
| Scaling | Instant to millions of concurrent calls | ASG scaling takes 1–3 minutes |
| Pricing | Pay per 1ms of execution only | Pay 24/7 whether used or idle |
| Cold Starts | Sub-100ms with SnapStart/provisioned | No cold starts once running |
| Execution Time Limit | 15-minute maximum per invocation | Unlimited long-running processes |
| Best For | Event-driven, bursty, variable workloads | Steady, long-running applications |
Client Stories
What Our Clients Say
"Matlab Infotech rebuilt our document processing pipeline on Lambda. We went from $3,000/month EC2 to $180/month Lambda with better throughput."
Keiran Murphy
CTO · DocuSign Pro
"Our payment webhook handlers run on Lambda and automatically scale for end-of-month billing spikes. Matlab Infotech architected it flawlessly — zero cold-start issues."
Meena Krishnan
Head of Engineering · PayRoute
"S3-triggered Lambda for image processing built by Matlab Infotech handles 50,000 uploads a day without a single server. It scales to zero at night — the bill is tiny."
Brian Walsh
Founder · SnapCrop
FAQ
Frequently Asked Questions about AWS Lambda
When should I use Lambda instead of EC2 or containers?
Lambda is ideal for event-driven workloads (webhooks, file triggers, scheduled jobs), variable traffic patterns (bursty or near-zero idle), and short-duration functions (under 15 minutes). Use EC2 or Fargate for long-running processes, steady-state workloads where provisioned concurrency would be expensive, or applications needing specialised hardware.
How do you solve Lambda cold start problems?
We use Lambda SnapStart for JVM runtimes (reduces cold starts from 8s to under 1s), Provisioned Concurrency for latency-sensitive endpoints, ARM/Graviton2 functions (faster init with smaller bundle), and module-level lazy loading to minimise initialization code.
How do you structure a Lambda project for production?
We use Clean Architecture with dependency injection, separate Lambda handlers from business logic, manage infrastructure with AWS CDK or SAM, implement versioning and aliases for deployments, and use environment-specific configuration via SSM Parameter Store or Secrets Manager.
Can Lambda run long-running background jobs?
Lambda functions time out after 15 minutes. For longer jobs we use Step Functions for orchestration, SQS batching to chain Lambda executions, or Fargate for truly long-running tasks. Lambda is excellent for the individual processing steps in these longer workflows.
How do you monitor Lambda in production?
We configure structured JSON logging to CloudWatch Logs, X-Ray distributed tracing for cross-service visibility, Lambda Insights for memory and CPU metrics, and custom CloudWatch dashboards with alarms for error rate, throttles, and duration percentiles (P95/P99).
What languages do you use for Lambda?
Node.js (TypeScript) for most web APIs and integrations due to fast cold starts, Python for data processing and ML inference, Java with SnapStart for enterprise workloads where Java is the company standard, and .NET 8 for Azure-to-AWS migrations. We select the runtime based on team skill and performance requirements.
Go Serverless — Ship Faster, Pay Less
Matlab Infotech designs Lambda-first serverless architectures that eliminate infrastructure overhead, scale infinitely, and charge you only for what you use.
Let's Collaborate
Tell us about your project and we'll come back with a plan, a timeline, and a quote.