Automate AWS Cloud Infrastructure Deployment
An AWS infrastructure bundle for designing, deploying, and cost-optimizing cloud architecture end to end.
Why it matters
Streamline your AWS infrastructure management with this bundle. Automate deployments, optimize costs, and ensure scalable, secure cloud environments.
Outcomes
What it gets done
Connect AWS credentials securely.
Design and deploy scalable cloud architecture.
Automate application deployments and monitoring.
Analyze and optimize cloud spending with Cost Explorer.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-aws-cloud-stack | bash Overview
AWS Cloud Stack
This bundle covers AWS cloud work end to end: designing architecture, generating infrastructure-as-code to provision it, automating deployment and monitoring, and analyzing cloud costs. Use it for ongoing AWS infrastructure work needing design, deployment, and cost control together; skip it for workloads outside AWS or single narrow tasks like a file upload.
The workflow you build
This bundle connects AWS infrastructure management, deployment automation, and cost tracking into a single cloud engineering workflow. You design an architecture, generate infrastructure-as-code to provision it (VPCs, load balancers, auto-scaling groups, managed databases), automate the deployment and monitoring of that infrastructure, and keep an eye on cloud spend - all without switching between the AWS console, a separate Terraform workflow, and a cost dashboard.
When to use this bundle - and when NOT to
Use it when you're standing up or maintaining real AWS infrastructure and want architecture design, deployment automation, and cost visibility handled together - for example, provisioning a scalable web application stack with a load balancer, auto-scaling EC2 instances, and a private RDS database behind Cloudflare. It suits ongoing infrastructure work, not a one-time script. It is not the right fit if your workload doesn't touch AWS, or if you only need a single narrow task like uploading files to S3 rather than full architecture design and deployment.
How to get started
Connect your AWS credentials first, then describe the architecture you want - for example: "Create a Terraform configuration for a VPC with public and private subnets, an ALB for load balancing, an Auto Scaling Group with EC2 instances, and RDS PostgreSQL in a private subnet." From there, automate the deployment, add monitoring, and use cost analysis to catch spend before it becomes a problem.
Who it's for
DevOps engineers, cloud architects, and developers who work with AWS infrastructure and want architecture design, deployment automation, and cost optimization handled as one connected workflow instead of separate tools.
Source README
Who This Bundle Is For
DevOps engineers, architects, and developers working with AWS infrastructure.
What's Included
MCP Servers
AWS - full access to AWS services. EC2, Lambda, DynamoDB, SQS, and more.
AWS S3 - object storage management. Upload, download, and bucket management.
AWS Cost Explorer - cloud cost analysis and optimization.
Cloudflare - CDN and protection. Caching, DDoS protection, DNS.
Skills
Python Developer - AWS automation with Boto3.
Rails Developer - Rails application integration with AWS.
Agents
Cloud Architect - cloud architecture design.
DevOps Automator - deployment and monitoring automation.
Infrastructure Maintainer - infrastructure support and updates.
How to Use
- Connect AWS credentials via MCP
- Design architecture with Cloud Architect
- Automate deployment with DevOps Automator
- Optimize costs with Cost Explorer
Example Prompt
Create a Terraform configuration for:
- VPC with public and private subnets
- ALB for load balancing
- Auto Scaling Group with EC2 instances
- RDS PostgreSQL in a private subnet
Architecture
┌─────────────┐
│ CloudFlare │
└──────┬──────┘
│
┌──────▼──────┐
│ ALB │
└──────┬──────┘
┌────────────┼────────────┐
│ │ │
┌─────▼─────┐┌─────▼─────┐┌─────▼─────┐
│ EC2 ││ EC2 ││ EC2 │
└─────┬─────┘└─────┬─────┘└─────┬─────┘
└────────────┼────────────┘
┌──────▼──────┐
│ RDS/S3 │
└─────────────┘
Results
- Scalable cloud infrastructure
- Automated deployments
- Optimized costs
- Monitoring and alerting
Bundle Contents
This bundle includes: 4 MCP servers, 2 skills, 3 agents
MCP server for AWS S3 and DynamoDB - buckets, objects, tables, items, batch operations, and TTL, with every call audit-logged.
An MCP server that exposes AWS S3 buckets and PDF documents as tools and Resources for LLM context.
Query AWS EC2 and Bedrock spending conversationally through Cost Explorer and CloudWatch usage logs.
Deploy, configure, and manage Cloudflare resources including Workers, KV, R2, D1, and more.
Skill for modern Python 3.10+ - type hints, pattern matching, dataclasses, async code, and pyproject.toml tooling.
Rails Developer skill provides guidelines for Ruby on Rails development using SQLite3, Hotwire (Turbo and Stimulus), Tailwind CSS, and Solid libraries
Designs and optimizes scalable cloud infrastructure solutions across AWS, GCP, and Azure with detailed architecture diagrams and implementation plans.
An agent that designs and builds CI/CD pipelines and cloud infrastructure automation with security scanning, IaC, and rollback built in.
Autonomously monitors system health, manages resource scaling, and maintains infrastructure reliability across cloud and on-premise environments.
FAQ
Common questions
Discussion
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