Difference between revisions of "AWS Lambda Features"

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* Supports [[Serverless]] Computing
 
* Supports [[Serverless]] Computing
 
* AWS Lambda supports securely running native Linux executables via calling out from a supported runtime
 
* AWS Lambda supports securely running native Linux executables via calling out from a supported runtime
* Supported Languages include:
+
* Supported Languages (2018) include:
 
** Node.js
 
** Node.js
 +
** Python
 
** Haskell
 
** Haskell
 
** Java
 
** Java
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** C#
 
** C#
 
** Powershell
 
** Powershell
 +
 
* AWS Lambda was designed for use cases such as image or object uploads to Amazon S3, updates to DynamoDB tables, responding to website clicks or reacting to sensor readings from an IoT connected device.
 
* AWS Lambda was designed for use cases such as image or object uploads to Amazon S3, updates to DynamoDB tables, responding to website clicks or reacting to sensor readings from an IoT connected device.
 
* AWS Lambda can also be used to automatically provision back-end services triggered by custom HTTP requests, and "spin down" such services when not in use, to save resources. These custom HTTP requests are configured in AWS API Gateway, which can also handle authentication and authorization in conjunction with AWS Cognito.  
 
* AWS Lambda can also be used to automatically provision back-end services triggered by custom HTTP requests, and "spin down" such services when not in use, to save resources. These custom HTTP requests are configured in AWS API Gateway, which can also handle authentication and authorization in conjunction with AWS Cognito.  

Revision as of 14:17, 14 May 2019

  • Supports Serverless Computing
  • AWS Lambda supports securely running native Linux executables via calling out from a supported runtime
  • Supported Languages (2018) include:
    • Node.js
    • Python
    • Haskell
    • Java
    • Ruby
    • Go
    • C#
    • Powershell
  • AWS Lambda was designed for use cases such as image or object uploads to Amazon S3, updates to DynamoDB tables, responding to website clicks or reacting to sensor readings from an IoT connected device.
  • AWS Lambda can also be used to automatically provision back-end services triggered by custom HTTP requests, and "spin down" such services when not in use, to save resources. These custom HTTP requests are configured in AWS API Gateway, which can also handle authentication and authorization in conjunction with AWS Cognito.