Smart Network Observability – Connection Tracking

Ronen Schaffer, E. Raichstein, K. Meth, Joel Takvorian, Julien Pinsonneau
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Abstract

Flow Logs Pipeline (a.k.a. FLP) is an observability tool that consumes flow logs from various inputs, transforms them and exports logs to Loki and / or time series metrics to Prometheus. While flow logs encompass a lot of valuable data, observing the network from the level of flow logs is often too low. In many cases, we are interested in observing it from a higher level, the level of connections. In this work, we introduce a new processing stage in FLP that allows aggregating flow logs from the same connection - connection tracking.
智能网络可观察性-连接跟踪
Flow Logs Pipeline(又名FLP)是一种可观察性工具,它可以从各种输入中获取流日志,将其转换并将日志导出到Loki和/或将时间序列指标导出到Prometheus。虽然流日志包含大量有价值的数据,但从流日志级别观察网络通常太低。在很多情况下,我们感兴趣的是从更高的层次,即连接的层次来观察它。在这项工作中,我们在FLP中引入了一个新的处理阶段,允许聚合来自同一连接的流日志-连接跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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