The paradigm of schema-driven API approaches is gaining increasing popularity as it facilitates programmatic interaction with systems by both machines and humans. While OpenAPI schema stands out as a widely embraced system, there are other notable schema approaches like YANG, among others. This project endeavors to empower users with a declarative and idempotent method for seamless interaction with API systems, providing a robust foundation for effective system configuration."

The project consists of 4 components:

The schema server component is a versatile repository for schemas from diverse vendors and versions. It features a GRPC API for seamless schema querying and dynamic management, allowing users to load and unload schemas in real time. The integration of a CLI enhances user interaction, providing a familiar command-line interface. Operating in a stateless architecture, it offers scalability, while optional schema persistence caters to users requiring persistent storage. In essence, the schema server combines flexibility, efficiency, and user-friendliness for effective schema management in dynamic API environments. Schema-server is developer in the schema-server repository.

The data-server component serves as a versatile intermediary, connecting the config-server, schema-server, cache, and xNF/Device in a stateless design for scalability. It features a North-bound API for both imperative and declarative interactions and supports various South-bound protocols. With dedicated DataStores per target, flexible synchronization options, candidate-based interactions, and the ability to connect multiple data servers per device, it provides a resilient and adaptable foundation for managing and synchronizing data in dynamic system environments. The Data-server is developed in the data-server repository.

The cache component manages multiple datastores, including Config, State, and Intended, along with Intent metadata. It offers the option for persistent data storage, complemented by a GRPC API for seamless interaction. Additionally, the cache component provides a derived Command Line Interface (CLI) for user-friendly access and configuration. The Cache is developed in the cache repository.

The config-server is a Kubernetes-based Operator and comprises of several controllers:

• Schema Controller: Manages the lifecycle of schemas using Schema Custom Resources (CR).
• Discovery Controller: Manages the lifecycle of targets through DiscoveryRule CR, discovering devices/NF(s)
• Target Controller: Manages the lifecycle of Target DataStores using Target CR.
• Config API Server: Manages the lifecycle of Config resources.
  • Utilizes its storage backend (not etcd).
  • Interacts declaratively with the data-server through Intent transactions.
  • Implements validation checks, rejecting configurations that fail validation. The Config-server is developed in the config-server repository.

A YANG parser.

Home of the code of the project homepage.

• Schema's: YANG, others TBD
• Targets: Physical devices (PNF), Containers (CNF), Virtual Machines (VNF) and Dummy test target (NOOP)
• Vendor agnostic
• Flexible deployments: Small, medium or large scale scaled out deployments
• Target Protocols: gNMI, Netconf
• Full Config or Config Snippets
• Declarative Operation

Code in the SDCIO public repositories licensed with Apache License 2.0. At the moment the project is governed by the benevolent ************ of @henderiw @steiler @karimra and @hansthienpondt On the long run we plan to move to a meritocracy based governance model.

Presentations about SDCIO:

• ONE Summit 2024: Cloud Native YANG Mgmt - Wim Henderickx, Nokia, video

Have questions, ideas, bug reports or just want to chat? Come join our discord server.