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# Overview of Infrahub Platform and Capabilities ## Announcements - OpsMill has become the steward of Nornir. [Learn more](https://opsmill.com/nornir-joins-opsmill/) --- ## Main Focus Infrahub is a platform designed to unify and manage infrastructure data to support network automation and AIOps. It provides a reliable data foundation that enables teams to build automation and AI-driven operations on a trusted and extensible data layer. --- ## Key Features and Benefits ### Data Foundation for Modern Automation - Unifies infrastructure data with business logic. - Enforces consistency across data. - Integrates seamlessly with automation tools and AI workflows. - Allows faster deployment, reduces risks, and delivers infrastructure as a reliable service. ### Top Use Cases - **Unify infrastructure data:** Syncs device, service, and policy data into a central source of truth with rich metadata, accessible via UI and APIs. - **Automate at scale:** Supports generating, validating, and deploying configurations across vendors and locations, managing full lifecycle. - **Enable self-service:** Exposes automation capabilities through catalogs and APIs to reduce time-to-delivery and errors. - **Build an AIOps knowledge graph:** Models dependencies and relationships to facilitate AI reasoning, troubleshooting, and predictive operations. ### Infrastructure Data Management - **User-defined schema:** Define and extend data models, enforce validation, capturing device, service, topology, and business context. - **Versioning everywhere:** All data, automation logic, and configurations are version-controlled—supports branching, review, rollback, and auditing akin to GitOps. - **Natively integrated tools:** Supports integrations with Git repositories, Ansible, Terraform, CMDBs, and more without custom scripts. - **Future-proof extendability:** Easily add new vendors, services, and data centers; uses open-source technologies like Neo4j, Git, Prefect, GraphQL, Python for long-term adaptability. [Get a full overview of the Infrahub platform →](https://opsmill.com/infrahub-platform/) --- ## Infrahub's Role in Infrastructure AI - Provides a strong, validated data layer for AI agents. - Offers structured, accurate data to prevent hallucinations and ensure reliable recommendations. - Uses graph-based relationships for full dependency insight. - Accelerates schema development with AI-assisted tools, cutting build time by ~80%. ## Automation Workflows Enabled by Infrahub - **Configuration Automation:** Use with Ansible for defining and deploying configurations. - **Self-service Automation:** Expose APIs/catalogs enabling teams to request infrastructure directly. - **Sample Use:** Automating configurations and self-service workflows to optimize deployment speed and accuracy. > "With Infrahub, we built a custom schema that fit our particular business needs, and we didn't need specialized developer skills to do it. It was a big win for me as the technical architect and an easy sell to the C-suite." > — Lead Technical Architect, National Network-as-a-Service Provider > "No other infrastructure modeling solution out there fit what we needed. Infrahub checks all the boxes, and we can build on top of it easily." > — Senior Systems Architect, Global Gaming & Entertainment Company > "When I learned Infrahub was using a graph database to model networks, I thought, ‘That makes more sense than anything I've heard in the past decade.’" > — Automation Engineer, Global Cloud Provider --- ## Managing Infrastructure Data: Best Practices - **Flexible schemas:** Define, extend, and validate your data models with full control. - **Version control:** Everything from data objects to automation logic is tracked for change management. - **Native integrations:** Designed to seamlessly connect with existing tools, avoiding fragile custom plug-ins. - **Open-source foundation:** Built on Neo4j, Git, Prefect, GraphQL, Python—ensuring long-term scalability and vendor independence. [See how Infrahub stacks up against the competition →](https://opsmill.com/compare-source-of-truth-tools/) ### Limitations of Traditional Source of Truth (SoT) Tools | Aspect | Typical Tools | Infrahub Approach | |---------|----------------|------------------| | Initial structure | Offer as a quick start | Flexible schema, adaptable over time | | Schema evolution | Rigid relational dbs, hard to change | Dynamic, extensible schemas; supports versioning and AI | | File-based (JSON/YAML) | Flexible but lacks validation/relationships | Combines flexibility with validation and query engine | | Custom build | Fully control but complex & maintenance-heavy | Pre-built, extensible, open source with long-term support | --- ## Benefits of Reliable Infrastructure Data - **For Network Teams:** Faster delivery with automatic validation. - **Security & Compliance:** Changes are automatically validated, audited, and compliant. - **Cross-functional Coordination:** Single source reduces silos. - **Customer Satisfaction:** Faster enablement via self-service catalogs. - **Business Agility:** Accelerates bringing new services/data centers to market. - **Leadership:** Transforms infrastructure from a cost center into a strategic advantage. [Get a full overview of the Infrahub platform →](https://opsmill.com/infrahub-platform/) --- ## Getting Started with Infrahub ### Community Edition - Open source, free forever. - Ideal for exploration and learning. - [Download on GitHub →](https://github.com/opsmill) ### Enterprise Edition - Designed for scale and production. - Includes high availability, advanced integrations, performance enhancements, and SLA support. - [Request a demo →](#elementor-action%3Aaction%3Dpopup%3Aopen%26settings%3DeyJpZCI6IjYyOSIsInRvZ2dsZSI6ZmFsc2V9) --- ## Infrahub's Role in AI-Driven Infrastructure - Supplies the structured, validated data needed for AI agents. - Graph-based dependency modeling enables comprehensive understanding. - AI-assisted schema building boosts efficiency and accuracy. ## Automations and Workflows - **Configuration Automation:** Using Infrahub with Ansible to automate infrastructure setups. - **Self-Service:** Enabling teams to request infrastructure dynamically via APIs. > "Request a demo" to see how Infrahub can support your automation goals. --- ## Conclusion Infrahub is a comprehensive, flexible, and open-source platform that offers a unified data layer for infrastructure automation and AI. It eliminates traditional trade-offs in data management, accelerates schema development, and empowers teams to operate at scale with confidence. ## Contact & Resources - [Request a demo](#elementor-action%3Aaction%3Dpopup%3Aopen%26settings%3DeyJpZCI6IjYyOSIsInRvZ2dsZSI6ZmFsc2V9) - [Full platform overview](https://opsmill.com/infrahub-platform/) - [Compare with other tools](https://opsmill.com/compare-source-of-truth-tools/) - [Documentation](https://docs.infrahub.app) - [Open Source on GitHub](https://github.com/opsmill) --- *This document is a summary of the main content sections focused on the platform's features, benefits, and how to get started. It does not include explicit API endpoint references, as the original page primarily describes concepts, use cases, and product overviews.*