Key mitigation strategies include traffic engineering, capacity planning, and implementing Quality of Service to prioritize critical traffic. Queue management and congestion avoidance algorithms help maintain optimal flow and minimize packet loss.

Continuous monitoring and analysis are vital to detect congestion hotspots and proactively address performance bottlenecks. Proper network design and resource allocation further reduce the risk of congestion and ensure consistent user experience.

Alternatives to congestion management include network upgrades or deploying content delivery solutions to offload busy links.

Hedgehog’s open network fabric is designed to proactively address network congestion by leveraging advanced congestion control mechanisms such as Explicit Congestion Notification (ECN) and Priority Flow Control (PFC). By integrating these technologies with automated traffic engineering and continuous observability, Hedgehog ensures that critical workloads, such as AI and data analytics, receive the bandwidth and low latency they require, even under heavy network load.