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Infrastructure as Code — Automated

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Infrastructure Builder

Deploy your infrastructure faster than ever before in the worlds first cloud-agnostic, DevOps-only IDE

infrara
Infrara AI

User asked:

Create a secure Lambda API with auto-scaling

Infrara AI:

Generating Terraform configuration with:

  • • VPC isolation
  • • Auto-scaling enabled
  • • Security groups
  • • IAM roles
# Generated by Infrara AI
# Request: Create a secure API with auto-scaling

terraform {
  # Terraform configuration
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
  }
}

resource "aws_lambda_function" "api" {
  function_name = "secure-api"
  runtime      = "python3.11"
  handler       = "index.handler"

  # Auto-scaling configuration
  reserved_concurrent_executions = 100

  vpc_config {
    subnet_ids         = aws_subnet.private[*].id
    security_group_ids = [aws_security_group.lambda.id]
  }

  tags {
    Name       = "secure-api"
    ManagedBy  = "Infrara"
  }
}

resource "aws_cloudwatch_log_group" "api_logs" {
  name              = "/aws/lambda/secure-api"
  retention_in_days   = 30

  tags {
    Environment  = "production"
    ManagedBy     = "Infrara"
  }
}

resource "aws_iam_role" "lambda_execution" {
  name = "lambda-execution-role"

  assume_role_policy = jsonencode({
    Version = "2012-10-17"
    Statement = [{
      Effect    = "Allow"
      Principal = {
        Service = "lambda.amazonaws.com"
      }
      Action    = "sts:AssumeRole"
    }]
  })

  tags {
    Name       = "lambda-execution"
    ManagedBy  = "Infrara"
  }
}

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Everything you need

Ship infrastructure faster and safer

Natural Language Terraform

Describe your infrastructure in plain English. We generate production-ready Terraform code instantly.

AI-Powered Conversations

Chat with your infrastructure. Ask questions, get recommendations, and iterate on designs.

Cost & Policy Compliance

Automated cost estimation and policy checks ensure your infrastructure stays compliant.

Git Integration

Seamless integration with your workflow. Preview changes before deployment.

How It Works

Three steps from description to deployment, powered by RAG, MCP, and AI

1

Describe

Tell Infrara what you need

Simply describe your infrastructure requirements in plain English. No YAML, no HCL, just conversation.

Natural language processing
Context-aware understanding
Multi-resource requests
2

Generate

AI-powered generation with RAG & MCP

Infrara uses Retrieval-Augmented Generation to pull from Terraform registry knowledge, and MCP validation to ensure production-readiness.

RAG pulls from AWS/GCP/Azure registry
MCP validates security & compliance
Auto-optimized for cost & performance
3

Deploy

Review, validate & deploy

Get a detailed diff, cost estimate, and policy checks. Approve and deploy with full transparency.

Real-time cost estimation
Policy compliance checks
Git-ready diffs

RAG

Retrieval-Augmented Generation pulls from official Terraform provider documentation, ensuring your code uses best practices and up-to-date resource configurations.

MCP Validation

Model Context Protocol validates your infrastructure against security policies, cost optimization rules, and compliance requirements before deployment.

Cost Estimation

Real-time cost tracking for 15+ AWS resources. Per-resource breakdown with budget alerts at 80% thresholds. Know exactly what you'll spend before deploying.

OPA Policies

Open Policy Agent with Rego policies enforces security, compliance, and governance rules. Automated policy checks before every deployment with human-readable explanations.

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