cloud service

AWS Lambda Serverless Compute

Build applications with no servers to manage

StormIT helps organizations deploy new applications or redesign legacy systems by leveraging serverless technologies, such as AWS Lambda, to run cloud-native applications in the AWS Cloud. Our experienced cloud architects will help you innovate faster and gain all the advantages of the AWS Cloud.

Whether you’re building an API or a real-time data processing backend, serverless computing allows you to build and run applications without thinking about servers. There is no need to provision, scale, or manage any servers.

With StormIT and AWS Lambda, you can serve your end customers better by focusing on product innovation and business value instead of managing your infrastructure. Serverless applications also provide faster time-to-market and reduce your infrastructure costs.

AWS Lambda

AWS Lambda lets you run code without provisioning or managing servers.

You pay only for the compute time you consume as there is no charge when your code is not running. With Lambda you can get new applications to market faster since there is no server provisioning or management required.

Lambda comes with automatic scaling, built-in high availability, and a pay-for-value billing model.

With Lambda you can build powerful applications or backend services in a shorter amount of time, and everything required to run and scale your application with high availability is handled by AWS.

How AWS Lambda works?


Upload your code to Lambda or write code in Lambda’s editor

Developers can start using AWS Lambda services, either by uploading the code or coding directly in Lambda’s code editor and selecting the events that trigger the code. The code executed in the Lambda runtime environment is called a Lambda function.


Set up your code to trigger from other AWS services, HTTP endpoints

The chosen event can trigger your Lambda function, without developers worrying about handling the server or getting the right type of application or resource.


Lambda runs your code only when triggered,using only the resources needed

Once an event triggers, Lambda runs associated code by picking resources to execute an event, by making use of the best resources available in the AWS infrastructure.


Just pay for the compute time(ms) Lambda use

With AWS Lambda, you only pay for the time your code is running. This model forever changes the relationship between application code and infrastructure costs. The hardware is automatically provisioned with every aspect when needed and billed accordingly.

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Common Use Cases for AWS Lambda

Data Processing

You can use AWS Lambda to execute code in response to triggers such as changes in data, shifts in system state, or actions by users. Lambda can be directly triggered by AWS services such as S3, DynamoDB, Kinesis, SNS, and CloudWatch, can connect to existing EFS file systems, or it can be orchestrated into workflows by AWS Step Functions.

Real-time File Processing

You can use Amazon S3 to trigger AWS Lambda to process data immediately after an upload. You can also connect to an existing Amazon EFS file system directly. For example, you can use Lambda to thumbnail images, transcode videos, index files, process logs, validate content, and aggregate and filter data in real-time.

Real-time Stream Processing

You can use AWS Lambda and Amazon Kinesis to process real-time streaming data for application activity tracking, transaction order processing, click stream analysis, data cleansing, metrics generation, log filtering, indexing, social media analysis, and IoT device data telemetry and metering.

Web Applications

By combining AWS Lambda with other AWS services, developers can build powerful web applications that automatically scale up and down and run in a highly available configuration across multiple data centers– with zero administrative effort required for scalability, back-ups or multi-data center redundancy.

Mobile Backends

AWS Lambda makes it easy to create rich, personalized app experiences. You can build backends using AWS Lambda and Amazon API Gateway to authenticate and process API requests. Use AWS Amplify to easily integrate your backend with your iOS, Android, Web, and React Native frontends.

Machine Learning

You can use AWS Lambda to preprocess data before feeding it to your machine learning model. With Lambda access to EFS, you can also serve your model for prediction at scale without having to provision or manage any infrastructure.

Benefits of AWS Lambda

Customers looking to unleash the creativity and speed of their development organizations find that AWS Lambda allows them to trade operational complexity for agility and better pricing.


There is no need to provision or maintain any servers. There is no software or runtime to install, maintain, or administer. Tust write the code and upload it to Lambda either as a ZIP file or container image.

Your application can be scaled automatically or by adjusting its capacity. AWS Lambda automatically scales your application by running code in response to each event.

Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload, from a few requests per day, to hundreds of thousands per second.

AWS Lambda has built-in availability and fault tolerance. You don't need to architect for these capabilities since the services running the application provide them by default.

Lambda maintains compute capacity across multiple distinct locations to help protect your code against individual machine or data center facility failures.

With AWS Lambda, you only pay for the compute time you consume, so you’re never paying for over-provisioned infrastructure.

You are only charged for every millisecond your code executes and the number of times your code is triggered. There is no charge when your code is not running.