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@ -14,6 +14,8 @@ Learn more about [Equnix Metal here](https://deploy.equinix.com/metal/).
Please support the continued development of LibreQoS by visiting our [GitHub Sponsors page](https://github.com/sponsors/LibreQoE). Please support the continued development of LibreQoS by visiting our [GitHub Sponsors page](https://github.com/sponsors/LibreQoE).
<img alt="LibreQoS" src="https://user-images.githubusercontent.com/22501920/216796542-e3a2d4c3-a735-4cd1-adf8-5dae160fd7e9.png"></a>
## Features ## Features
### Flexible Hierarchical Shaping / Back-Haul Congestion Mitigation ### Flexible Hierarchical Shaping / Back-Haul Congestion Mitigation
<img src="https://raw.githubusercontent.com/LibreQoE/LibreQoS/main/docs/nestedHTB2.png" width="350"></img> <img src="https://raw.githubusercontent.com/LibreQoE/LibreQoS/main/docs/nestedHTB2.png" width="350"></img>
@ -27,8 +29,7 @@ CAKE is the product of nearly a decade of development efforts to improve on fq_c
Fast, multi-CPU queueing leveraging xdp-cpumap-tc and cpumap-pping. Currently tested in the real world past 11 Gbps (so far) with just 30% CPU use on a 16 core Intel Xeon Gold 6254. It's likely capable of 30Gbps or more. Fast, multi-CPU queueing leveraging xdp-cpumap-tc and cpumap-pping. Currently tested in the real world past 11 Gbps (so far) with just 30% CPU use on a 16 core Intel Xeon Gold 6254. It's likely capable of 30Gbps or more.
### Graphing ### Graphing
You can graph bandwidth and TCP RTT by client and node (Site, AP, etc), with great visalizations made possible by InfluxDB. You can graph bandwidth and TCP RTT by client and node (Site, AP, etc), using InfluxDB.
<img alt="LibreQoS" src="https://raw.githubusercontent.com/LibreQoE/LibreQoS/main/docs/v1.1-alpha-preview.jpg"></a>
### CRM Integrations ### CRM Integrations
* UISP * UISP