bfenetworks/api-server

API server for BFE control plane

Hosted by Cloud Native Computing Foundation · part of Linux Foundation

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bfenetworks/api-server has 30+ stars and 10+ forks on GitHub, is written in Go, and was last pushed on Jan 31, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 15 seconds ago
Added to GitGenius on October 15th, 2026
Created on September 29th, 2021
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 18
Total Stargazers: 36 (+0)
Total Subscribers: 9 (+0)

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Detailed Description

API Server is the control plane core module for BFE that handles configuration ingestion, storage, and export. It provides Open API interfaces to manage BFE configuration changes, persistence, and distribution to load balancers in the data plane.

The tool solves the problem of centrally managing configuration for BFE, a load balancing platform. It accepts configuration changes through its Open API, stores them persistently, and coordinates with Conf Agent components to trigger hot reloading on BFE instances without requiring service restarts. The control plane architecture separates configuration management from the data plane load balancers, allowing independent scaling and updates.

Organizations deploying BFE should choose this tool if they need programmatic control over load balancer configuration at scale. It suits environments where configuration must be versioned, audited, and distributed reliably across multiple BFE instances. The project provides containerized deployment with integrated Dashboard for visualization, multi-architecture image support, and upgrade paths from earlier versions. Third-party systems can integrate with API Server through its documented OpenAPI specification for custom automation workflows.

The project maintains active development with regular updates to deployment documentation and upgrade guides. Container support is comprehensive, including automated Dashboard integration during image builds and multi-architecture push capabilities. The team provides a public sandbox environment for evaluation without local setup, accessible by request, which includes a configuration query interface to inspect dynamically generated outputs.