AWS Lambda consultants
We can help you automate your business with AWS Lambda and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing AWS Lambda.
About AWS Lambda
AWS Lambda is a serverless compute service from Amazon Web Services that runs code in response to events without requiring you to provision or manage servers. As an automation node, it allows workflows to execute custom functions written in Python, Node.js, Java, or other supported languages as part of a larger automation pipeline, handling processing tasks that go beyond what standard nodes can do.
Development teams, data engineers, and technical operations staff use the AWS Lambda integration to run custom processing logic within their automation workflows. Complex data transformations, API calls to proprietary systems, machine learning model inference, and heavy computation tasks all run as Lambda functions that scale automatically based on demand.
Osher integrates AWS Lambda into automation architectures where standard workflow nodes cannot handle the processing requirements. Our custom AI development team builds Lambda functions for running ML models on incoming data, processing large file transformations, executing complex business logic with custom validation rules, and connecting to legacy systems that require bespoke code to communicate with.
AWS Lambda FAQs
Frequently Asked Questions
Common questions about how AWS Lambda consultants can help with integration and implementation
When should I use AWS Lambda instead of a standard automation node?
What programming languages does AWS Lambda support?
How does pricing work for AWS Lambda?
Can I pass large datasets to a Lambda function from my workflow?
How long can a Lambda function run?
Do I need an AWS account to use this integration?
How it works
We work hand-in-hand with you to implement AWS Lambda
As AWS Lambda consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate AWS Lambda with integrate and automate 800+ tools.
Step 1
Write and Deploy Your Lambda Function
Write the custom code for your processing task in your preferred language. Deploy it to AWS Lambda through the AWS Console, CLI, or infrastructure-as-code tools like Terraform or CloudFormation.
Step 2
Configure IAM Permissions
Create an IAM user or role with permission to invoke your Lambda function. Generate access keys and store them securely. Follow the principle of least privilege by only granting lambda:InvokeFunction permission.
Step 3
Connect AWS Credentials
Add your AWS access key and secret key to your automation platform’s credential store. Specify the AWS region where your Lambda function is deployed.
Step 4
Configure the Lambda Node
Add an AWS Lambda node to your workflow. Select the function name, specify the invocation type (synchronous for immediate results, asynchronous for fire-and-forget), and map the input payload.
Step 5
Map Input and Output Data
Structure the JSON payload that gets sent to your Lambda function from upstream workflow nodes. Map the Lambda response fields to downstream nodes that need the processed results.
Step 6
Test and Add Error Handling
Invoke the function with test data to verify correct processing. Add error handling for Lambda timeouts, permission errors, and function exceptions. Configure retry logic for transient failures.
Transform your business with AWS Lambda
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation AWS Lambda consultation.