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Features: AI Assistant

The CloudNOOE AI Assistant is your expert cloud architect, available 24/7. It transforms your natural language descriptions into fully-formed, deployable cloud architectures, dramatically accelerating the design process and reducing human error.

This powerful feature allows you to focus on what you want to build, while the AI handles how to build it according to AWS best practices.

The CloudNOOE AI Assistant in action

How the AI Assistant Works​

The assistant uses advanced language processing models trained on a vast corpus of cloud architecture patterns, AWS documentation, and security guidelines. When you enter a prompt, it performs three key actions:

  1. Parses Intent: It deconstructs your request to understand the core components, relationships, and configuration details.
  2. Generates Architecture: It maps your intent to the appropriate AWS services and designs an architecture that meets your requirements for scalability, availability, and security.
  3. Visualizes and Configures: It adds the selected services to the visual editor canvas and applies the correct configurations, saving you hours of manual work.

From Prompt to Infrastructure in Seconds​

Your PromptAI's Action
"I need a secure S3 bucket for private documents."Creates an S3 bucket with Block All Public Access enabled and a restrictive bucket policy.
"Design a serverless API using Lambda and API Gateway."Adds an API Gateway trigger, a Lambda function, and an IAM role with the necessary permissions for the function to execute.
"Create a three-tier web application with a load balancer."Deploys a public-facing load balancer, a web server tier, an application server tier, and a private database tier in separate subnets.

Key Capabilities​

1. Declarative Infrastructure Design​

Instead of writing complex code, simply declare what you need. The AI handles the imperative steps. This declarative approach makes infrastructure design more accessible and intuitive.

Example Prompt:

"Deploy a Docker container on AWS Fargate with 1 vCPU and 2GB of memory, exposed to the internet via a load balancer."

2. Iterative Refinement​

The AI Assistant is conversational. You can start with a simple request and add complexity over time.

Initial Prompt: "Create a VPC." Follow-up Prompt: "Now add two public and two private subnets to it." Final Prompt: "Place a NAT Gateway in a public subnet to give the private subnets internet access."

3. Best Practice Integration​

The AI is programmed to follow the AWS Well-Architected Framework. It automatically incorporates best practices for:

  • Security: Creates appropriate security groups, IAM roles, and network ACLs.
  • Cost Optimization: Suggests cost-effective instance types and storage classes.
  • Reliability: Recommends high-availability patterns like multi-AZ deployments.

Pro Tips for Effective Prompting​

  • Be Specific: The more detail you provide, the better the result. Include instance types (t3.medium), regions (us-east-1), and quantities.
  • Use Clear Language: While the AI is advanced, clear and unambiguous instructions work best.
  • Build Incrementally: For complex architectures, build them up in logical steps. This makes it easier to verify each part of the design.
  • Ask for Modifications: You can ask the AI to change existing resources. For example: "Change the EC2 instance to an m5.large" or "Add an S3 read-only policy to the existing IAM role."

Next Steps​