You do not need to set up, manage or deploy servers. Just add code. Nano Lambda automatically increases and decreases compute containers as your API traffic fluctuates. Offload your compute heavy tasks to gain framework efficiencies. Publish scalable micro-services outside your main framework. Create a low-cost flexible event-driven architecture with Nano Lambda. Each Nano Lambda container is processed in parallel.
Anonymous functions are often referred to as lambdas or lambda abstractions. Programmatically, lambdas are useful when you want to define a function without having to name it. Lambda's can pass functions to other functions to do stuff. For example, Lambda architecture allows you to run ad-hoc queries against all of your data to get results, or react to incoming data for real-time, event driven micro-services.
Plan your lambda
in a few steps
Step 01 - Get
Get data! Data can come from any place using API calls. Databases, real-time streams, event driven reaction json, curl body, logs or other sources.
Step 02 - Process
Modify this data. Keep it simple & perform a compute task. Run multiple lambdas in parallel or series. For example, extract data, sanitize data, count, transform, pre-process, validate, derive actions, or calculate.
Step 03 - Action
To complete your micro-service, send this data back to your database, other services or another lambda.
What you get
Nano Lambda -> run your code on high-availability compute infrastructure.
End to End API Security
Anomaly Detection for API calls
JWT auth for APIs
Logging, Auditing, and Analytics