How a Single Command Deploys Cloud Infrastructure Automatically
This patent describes an automated system that takes one command to deploy computing resources across different cloud platforms using various Infrastructure as Code tools, then connects them to a monitoring system.
Patent Number
US 12739267
Status
Active
Filing Date
April 15, 2024
Grant Date
September 15, 2026
Expiration
~April 2044 (estimated)
Claims
0
Assignee
—
Inventors
—
Citations
0 forward · 0 backward
What it covers
The patent describes an automated deployment engine designed to set up cloud infrastructure. This engine can detect a single command from a user for deploying computing resources in one or more cloud environments. Based on this command, it accesses configuration files linked to different Infrastructure as Code (IaC) tools, chosen from many available options. The engine then uses these IaC tools and configuration files to deploy the requested infrastructure. After deployment, the engine automatically connects the new infrastructure to a data platform that monitors its performance and health.
What it doesn't cover
- —Does not cover purely manual deployment processes that do not use an automated engine.
- —Does not cover systems that require separate, distinct commands for deploying to each individual cloud environment.
- —Does not cover automated deployment systems limited to using only a single, predefined Infrastructure as Code tool.
- —Does not cover systems that deploy infrastructure but lack automatic integration with a monitoring data platform.
The clever bit
The clever bit is the system's ability to act as a universal orchestrator: taking a single, high-level command and translating it into actions across multiple cloud providers and various Infrastructure as Code tools, then automatically integrating monitoring.
Why it matters
Automating cloud infrastructure deployment is crucial for modern software development, allowing companies to quickly set up and manage their computing resources. This approach reduces human error, speeds up development cycles, and ensures consistency across different cloud environments. It is a core component of efficient DevOps practices, enabling faster innovation and scaling.
Real-world examples
- 1.HashiCorp Terraform
- 2.Pulumi
- 3.AWS CloudFormation
- 4.Azure Resource Manager
- 5.Google Cloud Deployment Manager
- 6.Cross-cloud deployment platforms
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US 12739267 · 2026