Axon Tech Labs MLOps Infrastructure Suite - Professional

The Professional Bundle combines three purpose-built provisioning tools into a single, integrated infrastructure solution for growing ML teams. Deploy production-ready S3 storage, VPC networking, and IAM security from simple YAML configuration files - 40 automated actions across storage, networking, and security, all executed via Docker containers and deployed through CloudFormation.

S3 Provisioner automates the complete lifecycle of AWS S3 bucket provisioning. Purpose-built for machine learning workloads, it transforms a simple YAML configuration into production-ready S3 infrastructure - complete with ML-optimized folder structures (130+ folders), automated lifecycle policies for cost optimization, and least-privilege IAM policies. Choose between shared buckets (multiple ML solutions in one bucket) or dedicated buckets (one per solution) for isolation. 19 actions cover everything from configuration validation to complete infrastructure teardown.

VPC Provisioner deploys a full 3-tier VPC architecture - including public, private, and database subnets across multiple availability zones - with internet gateways, NAT gateways, elastic IPs, and routing. 9 actions handle the complete lifecycle from template generation to drift detection and stack deletion.

SEC Provisioner (Medium-10) automates IAM security infrastructure - 10 IAM groups, expanded service roles, assumable roles, and broader policy coverage across S3, ECR, SageMaker, Lambda, and Bedrock. By shifting security left, teams can build compliant ML environments in minutes rather than weeks. 12 actions cover policy generation, audit exports, isolated test deployments, and drift detection.

Deploy across multiple AWS accounts, environments, and regions with consistent results. Every tool generates CloudFormation templates you own, can inspect, and customize independently. HTML reports document your infrastructure for compliance and team visibility.

Designed for ML engineers, DevOps engineers, and platform teams managing multiple workloads who need a standardized, repeatable infrastructure foundation for ML projects. 15% savings versus purchasing each tool individually.

Key Capabilities:

• End-to-End ML Infrastructure: Deploy production-ready S3 storage, VPC networking, and IAM security from a single set of YAML configuration files. 40 automated actions cover the complete infrastructure lifecycle - from validation to deployment to teardown.
• ML-Ready Storage: Automatically provision S3 buckets with 130+ folder hierarchies organized by ML pipeline phase, 4 lifecycle policy profiles for cost optimization, and support for shared or dedicated bucket patterns.
• Production Networking: Deploy a full 3-tier VPC architecture - public, private, and database subnets across multiple availability zones - with internet gateways, NAT gateways, elastic IPs, and routing configured automatically.
• Least-Privilege Security: Automatically generate 10 IAM groups, expanded service roles, assumable roles, and granular policies across S3, ECR, SageMaker, Lambda, and Bedrock. No manual JSON policy writing required.
• Safe, Validated Deployments: Every tool validates YAML schemas and CloudFormation templates before execution. Isolated test deployments verify permissions and resource limits without affecting production.
• Continuous Compliance: Drift detection across all three infrastructure layers identifies unauthorized manual changes. HTML reports and audit exports document your entire infrastructure for compliance and team visibility.

Contents:

• S3 Provisioner (19 actions)
• VPC Provisioner (9 actions)
• SEC Provisioner Medium-10 (12 actions, 10 groups, assumable roles)

How It Works:

1. Configure: Define your S3 storage, VPC networking, and IAM security infrastructure in simple YAML configuration files
2. Execute: Run each Docker container with your config mounted
3. Review: Generate CloudFormation templates and IAM policies, then validate before deploying
4. Deploy: Deploy to AWS via CloudFormation for immediate, reliable resource creation

Technical Requirements:

• Docker 20.10 or later
• AWS account with S3, VPC, IAM, and CloudFormation permissions
• AWS credentials (access key or IAM role)
• 512 MB RAM minimum