Automating Voicebot Deployments for Amazon Connect

1. starter-workflows

   1 306 10,386 8.0 TypeScript

   Accelerating new GitHub Actions workflows

   

   In this post, I will share WebRTC.ventures' best practices in automating the deployment of AI-powered voice assistants for Amazon Connect, moving beyond manual, click-by-click setups to a robust, scalable Infrastructure as Code (IaC) approach. We’ll explore how to manage both static and dynamic resources, leverage tools like Terraform and AWS Serverless Application Model (SAM), and even set up an automated deployment pipeline using Github Actions to deploy your conversational IVR solutions efficiently.

2. SurveyJS

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3. terraform

   2 564 45,478 9.9 Go

   Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

   

   In this post, I will share WebRTC.ventures' best practices in automating the deployment of AI-powered voice assistants for Amazon Connect, moving beyond manual, click-by-click setups to a robust, scalable Infrastructure as Code (IaC) approach. We’ll explore how to manage both static and dynamic resources, leverage tools like Terraform and AWS Serverless Application Model (SAM), and even set up an automated deployment pipeline using Github Actions to deploy your conversational IVR solutions efficiently.

4. serverless-application-model

   3 110 9,458 8.4 Python

   The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.

   

   In this post, I will share WebRTC.ventures' best practices in automating the deployment of AI-powered voice assistants for Amazon Connect, moving beyond manual, click-by-click setups to a robust, scalable Infrastructure as Code (IaC) approach. We’ll explore how to manage both static and dynamic resources, leverage tools like Terraform and AWS Serverless Application Model (SAM), and even set up an automated deployment pipeline using Github Actions to deploy your conversational IVR solutions efficiently.

5. aws-cdk

   4 308 12,268 10.0 TypeScript

   The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

   

   “Dynamic” resources are those that change frequently as part of the voicebot release cycle, either directly influencing such changes or as a result of these. Amazon Lex bots and any AWS Lambda function associated with them, are considered dynamic resources. Due to its relationship with voicebot code, it’s better for them to live in the same code repository, and follow its same release process, preferably using a higher level IaC framework such as AWS SAM or AWS Cloud Development Kit (CDK).

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