Why LibreQoS
We don't optimize applications. We control congestion.
Application optimizers speed up selected protocols with TCP proxies and payload inspection — and mask the queue buildup underneath. LibreQoS takes the opposite approach: explicit per-flow queue control at every subscriber circuit and every shared node above it, so the network behaves predictably for all traffic, and you can verify the result yourself.
The Architecture
Architecture questions to ask any QoE vendor
The answers below come straight from the LibreQoS documentation and source, not from marketing shorthand. Hold any vendor to the same list.
The Argument
Why this beats making selected applications faster
A TCP proxy can make a specific flow faster. It can also hide the cause of the problem: the queue that builds up at a constrained link during peak hours. When the optimizer does not recognize a protocol — or the traffic is encrypted in a way its classifier misses — the benefit disappears, and the underlying queue behavior is still there.
LibreQoS fixes the queue instead. Active queue management keeps latency low under load at the actual choke point. Fair queueing stops one heavy circuit from starving its neighbors. The hierarchy keeps local congestion local, so one constrained AP does not degrade every subscriber upstream of it. And this is not a novel bet: CoDel was published by Nichols and Jacobson in 2012, fq_codel and CAKE ship in the mainline Linux kernel, and the IETF community has spent a decade documenting bufferbloat as a queueing problem.
That design choice has a practical consequence: the result is observable. The source that shapes your traffic can be read. The before-and-after can be measured by anyone with a browser, and by you, continuously, in Insight.
Evaluating specific vendors? Compare LibreQoS and Bequant or compare LibreQoS and Preseem, each cited to the vendors' own published materials.
In Practice
What the architecture looks like in operation
Four design decisions operators notice in day-2 operations, not just in benchmarks.
Smallest safe change
The queue engine diffs the desired queue tree against live state and applies the smallest safe delta, so updates land without disrupting the network.
Pass-through by default
Traffic that is not mapped to a shaped circuit passes through untouched. Unmapped traffic never lands in a catch-all queue.
Adaptive queue discipline
TreeGuard moves circuits between CAKE diffserv4 and fq_codel automatically, inside utilization, RTT, and CPU guardrails you control.
Honest baselines
Observe mode removes the shaping tree entirely, so you can measure a true before/after on your own network instead of trusting a vendor curve.
Verify It Yourself
Don't take the architecture on faith
Run the Internet Quality Test on a busy-hour circuit, deploy LibreQoS on spare hardware or a pilot site, and run it again. The test measures idle and loaded latency, loss, throughput, and a QoO grade — the same evidence your subscribers would feel.
Deploy
Evaluate the architecture on your own network
Run the 1-line install on a pilot site, point your topology at it, and measure busy-hour latency before and after.