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Once you can see it, Network performance becomes a very different problem. For years, blockchain networking has been talked of in general terms. ⇨ Block propagation time. ⇨ Peer latency. ⇨ Bandwidth. ⇨ Message delivery. Those measurements report the past. They're not always able to tell you where the network is squandering time. There, observability makes a difference. Network behaviour can be exposed continuously, with health endpoints and Prometheus-style metrics, rather than getting lost in logs or periodic benchmarks. A node can report its state of health, what is happening with peers, what is happening with messages, and propagation delays throughout the network. Now latency is more than just a number from a test. It turns into a sign. Observations of propagation measurements can be performed at various nodes and the time required for propagation of the same measurement can be compared between various parts of the network. A node could consistently receive blocks ahead of the other nodes. Another may have more or less variation. A third one might have a stable link and be able to propagate data noticeably slower. Those patterns are hard to comprehend on a single benchmark. They are visible due to continuous metrics. It's here that the @get_optimum's networking thing starts to get interesting. The aim isn't just to speed up the network once. It is because it is necessary to make performance measurable and in order to know exactly where performance is improving. The operational layer is the health endpoints. The measurement layer is provided by Prometheus-style metrics. Propagation measurements give the network level picture. They make networking more than just an inference, it's something that can be seen. Once the behaviour is observed, optimization can be much more precise, which is particularly beneficial for learning. Latency spikes can be detected. Propagation variance can be compared. Changes can be monitored following infrastructure upgrades. It's possible to view if a networking enhancement is consistent throughout the network or just in an isolated test. This makes for a vicious cycle: ⇨ Measure the network. ⇨ Find the bottleneck. ⇨ Change the infrastructure. ⇨ Measure again. The fundamental change is that blockchain performance is no longer regarded merely as a networking issue. It turns into a telemetry, measurable behaviour, continuous feedback, engineering system. The first step to faster networking is to know where the time is going. @get_optimum @shariaronchain

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