Notes:
Serverless computing is a cloud-computing execution model in which the cloud provider dynamically allocates and scales resources according to the needs of the application. In this model, the developer does not need to worry about managing servers or infrastructure, as the cloud provider takes care of these tasks automatically. This allows developers to focus on writing and deploying their applications, without having to worry about the underlying infrastructure. Serverless computing can offer benefits such as lower costs, higher scalability, and improved agility for applications. However, it also has some potential drawbacks, such as the potential for increased complexity and the need for careful monitoring and management of resources.
Amazon Web Services (AWS) Lambda is a serverless computing platform provided by Amazon. It is an event-driven platform, which means that it runs code in response to specific events or triggers, such as changes to data in an Amazon S3 bucket or a request to an Amazon API Gateway.
AWS Lambda allows developers to run their code in the cloud without having to worry about managing servers or infrastructure. The platform automatically scales the execution of the code to match the demand, and the developer only pays for the compute time that is actually used. This can provide cost savings and improved flexibility compared to traditional cloud-computing models.
AWS Lambda supports a number of programming languages, including Java, Python, and Node.js. It can be used for a wide range of applications, such as data processing, real-time stream processing, and serverless web applications. AWS Lambda is part of the broader family of serverless computing services offered by Amazon, which also includes other products such as Amazon API Gateway and AWS Fargate.
Resources:
- aws.amazon.com/lambda .. event-driven, serverless computing platform
Wikipedia:
See also:
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- Tutorial: Alexa Quiz skill written in Python with AWS Lambda and DynamoDB integration
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- Alexa Voice Command Trigger Lambda Testing
- AWS Lambda Versioning for Alexa Skills – Dabble Lab #29
- Lex Lambda (7 CTO Conference)
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- GOTO 2017 • Serverless Chatbots with Amazon Lex & AWS Lambda • Chris Munns
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- Lexus – Hackathon Chatbot Challenge AWS Lex / Lambda
- Calling AWS Lambda through Amazon Alexa
- Tutorial: AWS Lambda function for Amazon Lex; Implemented on Java.
- Introduction tutorial to Amazon Lex and AWS Lambda.
- Alexa Custom Skill with AWS Lambda function in JAVA
- AWS Lex fulfillment with AWS Lambda | Part 3 | FooBar
- AWS Lex validation with AWS Lambda | Part 2 | FooBar
- Simple Chatbot using Amazon Lex and AWS Lambda
- Alexa and Lambda
- Making a simple Alexa Skill using AWS LAMBDA walkthrough
- Intro to Lex – Bot Setup With Lambda
- March BrisJS – Building an Alexa Skill with Node + Lambda – John McKim
- Coding the Amazon Echo (Alexa) Developer Tutorial – BuilderBETA/AWS Lambda/NodeJS
- Creating an Alexa Skill using ClojureScript AWS Lambda/NodeJS
- 2017 Alexa Conference – Tim Moses (CTO, Multip.ly) Discussing Benefits of Lambda
- How to Create an Alexa Skill: Part 2 – Lambda Function
- Coding Bootcamp: Amazon Echo, Alexa and AWS Lambda (Part 2 of 6)
- Create An Amazon Alexa Skill Using Node.js And AWS Lambda
- Alexa, Lambda, AWS IoT, Raspberry PI 3
- Adding a custom feature to Alexa with AWS Lambda
- AWS Lambda + Alexa + @1Strategy_cloud = #voiceops
- Creating a Python AWS Lambda function to use with an Alexa Skill Kit