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2 रिपॉजिटरी

Awesome GitHub RepositoriesInfrastructure Knowledge Graphs

Graph-based representations of physical and virtual infrastructure to map dependencies and operational relationships.

Distinct from Knowledge Graph Builders: Focuses specifically on mapping hybrid cloud estates and infrastructure dependencies, not general knowledge triples or codebase symbols.

Explore 2 awesome GitHub repositories matching data & databases · Infrastructure Knowledge Graphs. Refine with filters or upvote what's useful.

Awesome Infrastructure Knowledge Graphs GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • hashicorp/ottohashicorp का अवतार

    hashicorp/otto

    4,241GitHub पर देखें↗

    Otto is a hybrid cloud orchestration platform designed to provision infrastructure and deploy application workloads across diverse cloud environments using infrastructure as code. It functions as an infrastructure as code provisioner that automates the deployment of consistent resources through policy-driven workflows. The project includes a hybrid cloud service mesh for managing service discovery and secure communication between applications, as well as an identity-based access controller for managing secrets and enforcing granular access controls. It also features an infrastructure knowledg

    Visualizes hybrid estates using a knowledge graph to identify dependencies and automate operational remediation.

    HTML
    GitHub पर देखें↗4,241
  • lyft/cartographylyft का अवतार

    lyft/cartography

    3,926GitHub पर देखें↗

    Cartography is a graph-based infrastructure visualization and security analysis framework. It ingests data from diverse cloud, identity, and software-as-a-service providers to model complex relationships between resources, users, and security findings within a centralized graph database. By mapping these interdependencies, the platform enables organizations to gain visibility into their environment and identify potential security risks through graph traversal queries. The platform distinguishes itself through its ontology-based normalization and cross-platform entity correlation, which map he

    Models complex relationships between cloud resources, identity providers, and security findings within a centralized graph database.

    Python
    GitHub पर देखें↗3,926
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