AWS LambdaData layer

AWS Lambda development for serverless APIs and automations

We write Lambda functions in Python and Node.js for the jobs that sit between your apps: webhooks, file processing, scheduled tasks and AI steps, deployed as code and monitored.

What we build

What we build with AWS Lambda

Webhook handlers

Functions behind API Gateway that receive events from payments, your CRM or forms and pass clean data on.

File and document processing

Triggered by S3 uploads: extract, convert or resize files, or send them to an AI model to read.

Scheduled jobs

Nightly syncs, reports and clean-ups on EventBridge schedules, with retries when something fails.

Why Widle

Serverless code that runs only when it’s needed

Lambda suits work that comes in bursts: webhooks, file processing and scheduled jobs. For steady, always-on APIs we often suggest a container instead.

  1. 01

    Infrastructure as code

    Functions, permissions and triggers defined in code, so every environment matches.

  2. 02

    Logged and alerted

    CloudWatch logs, error alerts and dead-letter queues, so failures don’t go unnoticed.

  3. 03

    Least-privilege access

    Each function gets only the AWS permissions it needs, nothing more.

AWS Lambda FAQs

When is Lambda the right choice?

For short tasks triggered by events or schedules. Long-running work or steady traffic is often cheaper and simpler in a container, or in a workflow tool like n8n.

Which languages do you use?

Mostly Python and Node.js, matching what your team already runs.

Can you work in our AWS account?

Yes. We work in your account with the access you grant, and everything we deploy is defined in code you own.

Thinking about Lambda?

Tell us what you want it to do. In a free 30-minute call we’ll say whether Lambda is the right fit and where we’d start.

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