What would you consider as a good MCP architecture?
Saturday, July 4, 2026
AWS application composer is free?
Yes, **AWS Application Composer** (often called AWS Infrastructure Composer) is **100% free to use**.
AWS does not charge you anything to open the canvas, drag and drop components, or generate your Infrastructure as Code (IaC) templates. You can use it both in the AWS Management Console or as an extension inside **VS Code** at no cost.
### The Only Catch: Resource Deployment
While using the tool to design and write code is completely free, if you choose to actually **deploy** the architecture you created into your AWS account, you will pay standard AWS pricing for the underlying resources you provision (e.g., if you spin up an Amazon RDS database or live EC2 instances, you will be billed for those based on their usage or runtime).
If you are just using it as a whiteboard to design your system and study its layout, it won't cost you a dime.
How to use AWS application composer
How to Evaluate the "Well-Architectedness" of Your Proposed Solution
Once you have visually mapped out your application in Application Composer and generated your template, you must validate it against the AWS Well-Architected Framework. Because Application Composer generates structured templates, evaluating your design becomes an automated, structured process:
Step 1: Use the Template to Run an Official AWS Well-Architected Review
For your certification preparation, understand that the official approach is to use the AWS Well-Architected Tool in the AWS Console.
Open the AWS Well-Architected Tool in your AWS sandbox account.
Define a new "Workload" and upload or describe the architectural choices generated by your Application Composer canvas.
Walk through the core questionnaire across the 6 pillars (Security, Reliability, Performance Efficiency, Cost Optimization, Operational Excellence, and Sustainability). The tool will flag any High-Risk Issues (HRIs) in your proposal.
Step 2: Validate the Generated Code Against Best-Practice Linters
Because Application Composer gives you a CloudFormation/SAM file, you can run automated, free scanners directly against your design file before deploying it. This tests the Security and Operational Excellence pillars:
Use cfn-nag or Checkov: These are free static analysis tools. If you run them against the code file generated by Application Composer, they will immediately read your design choices and warn you if you missed something (e.g., "Warning: CloudFront distribution missing a Web Application Firewall (WAF)").
Step 3: Check Your Boundaries and Integrations on the Canvas
While looking at your canvas, check your architectural decisions against these common Well-Architected exam patterns:
AWS Application composer experience
AWS Application Composer (also known as AWS Infrastructure Composer) is an incredibly powerful, native tool inside the AWS ecosystem that bridges the gap between a visual architecture diagram and the actual code required to build it.
It is designed to eliminate the frustration of writing thousands of lines of Infrastructure as Code (IaC) from scratch.
🛠️ Key Features of AWS Application Composer
Instead of using a general design tool like Miro or Visio and then manually writing the code, Application Composer lets you work on both simultaneously.
Drag-and-Drop Visual Canvas: You drag components (like AWS Lambda, Amazon API Gateway, DynamoDB, or SQS) onto a canvas and wire them together visually.
Real-time IaC Generation: As you drag, drop, and connect resources, the tool automatically generates fully configured AWS CloudFormation or AWS SAM (Serverless Application Model) templates in YAML/JSON in real-time.
Automatic IAM Policy Composition: When you drag a line connecting an API Gateway to a Lambda function, or a Lambda function to a DynamoDB table, Application Composer automatically configures the correct environment variables, event subscriptions, and least-privilege IAM policies needed for them to talk to each other safely.
IDE Integration (VS Code): You don't have to use it only in the AWS Console webpage. It is integrated into the AWS Toolkit for VS Code. You can view your architecture diagram and your code side-by-side in your local editor. Changes in code instantly update the diagram, and changes in the diagram instantly update the code.
Free open-source alternative to lucidscale
While the standard Lucidchart tool has a basic free tier for manual sketching (up to 3 documents and a limited number of shapes), Lucidscale—the specific add-on that connects to your cloud account to auto-generate diagrams—is a premium enterprise-focused tool.
It does offer a limited free trial, but the actual individual or team licensing starts at roughly $2,000+ per year.
If you are looking for free or open-source alternatives to automatically map out, visualize, or validate your AWS environment while studying for your certification, here are some great options:
Free & Open-Source Alternatives
1. CloudQuery (Open Source)
Instead of a visual GUI right away, CloudQuery syncs your AWS infrastructure metadata into a standard SQL database (like PostgreSQL). Once your infrastructure is in a database, you can run free SQL queries against it to find unencrypted buckets, open ports, or orphaned resources, or connect it to a free BI tool like Grafana to visualize it.
2. Former2 (Free / Browser-Based)
If you have built things manually in your AWS console and want to see the "code" representation of it, Former2 is a completely free tool. You provide it with temporary, read-only AWS credentials, and it scans your account to generate CloudFormation, Terraform, or Troposphere code directly from your existing resources. It is incredible for learning how console actions translate to Infrastructure as Code.
3. Komiser (Open Source / Free Tier)
Komiser is a cloud environment inspector. You can run it locally on your machine for free. It connects to your AWS account and filters resources by tags, regions, and cost, allowing you to catch hidden expenses or untagged infrastructure easily.
4. AWS Application Composer (Free inside AWS Console)
If you want to drag and drop components to visually design an architecture and have it automatically generate the valid AWS CloudFormation/SAML code in real-time, use AWS Application Composer inside the AWS Management Console. It is completely free to use (you only pay for any actual resources you choose to deploy).
💡 Tip for your AWS Certification: If an exam question asks about identifying security gaps or misconfigurations in a live AWS environment automatically, the correct "AWS-native" answer is usually AWS Config (for compliance auditing) or AWS Trusted Advisor (which gives you a free dashboard checking your account against Security, Fault Tolerance, Performance, and Cost limits).
Validate AWS design options
There isn't an official AWS tool where you can simply drag, drop, and upload an image file of your architecture diagram (like a .png or .jpeg) and have it automatically analyze and validate it.
However, depending on what stage of the design process you are in, there are two distinct ways you can automate validation, which is incredibly useful for your certification prep:
1. If you have written your design as Code (IaC)
If your design is written in AWS CloudFormation or HashiCorp Terraform, you don't even need a visual webpage. You can use automated linting and validation tools to check your templates against AWS security and reliability benchmarks before deploying anything.
Checkov / Bridgecrew: An open-source static code analysis tool for infrastructure-as-code. You can paste your code or link your GitHub, and it will flag security misconfigurations (e.g., "Your S3 bucket is public" or "Your security group has port 22 open to the world").
AWS CloudFormation Linter (cfn-lint): Validates your CloudFormation templates against both the official JSON/YAML specification and basic structural best practices.
2. If you want to visualize and validate an existing AWS environment
If you have already built your system in a sandbox or a free-tier AWS account, there are fantastic web platforms that will connect to your account via read-only access, map out your entire system visually, and pinpoint flaws.
Lucidscale (by Lucidchart): You connect it to your AWS account, and it automatically generates an accurate, dynamic cloud diagram. It allows you to filter by specific criteria and helps you visually verify your security group rules, subnets, and instance configurations.
Hava.io: Similar to Lucidscale, it scans your cloud environments and automatically creates interactive diagrams. It has a dedicated Security Layer view that visually maps out your open ports, traffic flows, and potential ingress/egress vulnerabilities.
Trend Micro Cloud One - Conformity: A cloud management platform that continuously scans your infrastructure state and gives you a real-time score against the AWS Well-Architected Framework pillars, showing you exactly how to remediate failures.
💡 The Certification Mindset Strategy
For the purpose of your AWS certification exams, AWS assumes you are validating the design using the AWS Well-Architected Tool inside the console. In an exam scenario, the "correct answer" to validating a design is almost always to conduct a review using the AWS Well-Architected Tool and answering its structured questionnaire to identify High-Risk Issues (HRIs) against the 6 pillars.
Are you currently drawing your designs out by hand/using a tool like Miro, or are you looking into Infrastructure as Code (IaC) like CloudFormation to build them?
What is Claude-Storm
"Claude-Storm AI" generally refers to the integration of the Stanford STORM (Synthesis of Topic-Outline via Retrieval and Multi-perspective Questioning) method into Anthropic’s Claude AI.
It is a system/workflow that turns Claude into an expert researcher by prompting it to approach a topic from multiple perspectives (e.g., skeptic, practitioner, historian, economist) to generate Wikipedia-quality, perfectly cited reports.How the STORM Method Works in ClaudeRather than asking Claude for a simple answer (which might miss important blind spots), the STORM workflow forces the AI to break research down into specific, structured steps:Multi-Perspective Questioning: Claude establishes several different "expert lenses" to draft a multi-perspective set of questions before researching.Simulated
Expert Interview: Claude acts as both the interviewer and the expert, interrogating the topic through each persona's point of view to dig deep.Contradiction Mapping: The AI cross-examines the different perspectives, identifies conflicts, and checks the strength of the evidence.Synthesis: Claude generates a highly organized, source-grounded outline and a final comprehensive briefing.
Why People Use ItEliminates Hallucinations: Because it forces the AI to map sources to claims and cross-reference multiple experts, it significantly reduces the chances of "hallucinating" or providing superficial facts.PhD-Level Depth: Peer-reviewed tests have shown the STORM method produces articles that are 25% more organized and comprehensive than standard AI research prompts.No Coding Required:
You do not need to be a developer to use it. You can simply copy and paste the chain of prompts directly into the standard Claude interface to get detailed, cited, and organized reports on any unfamiliar topic in minutes.For a step-by-step tutorial on how to feed these prompts into Claude and get multi-perspective research reports:
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