a 15 minute maximum lifetime for their containers If you have a lot of files which might contain data for any given time frame, you need to look at all of them Richard Hartmann & Frederic Branczyk @TwitchiH remaining major features left untackled Fundamentally, Prometheus operates as distinct data islands As there’s no backfill, data dies along with its instance by default Richard Hartmann & Frederic Branczyk @TwitchiH Thanos Remote API can now send WAL over the wire to fill gaps in data There are twelve different systems which are able to ingest Proemtheus data this way We deliberately do no endorse any particular approach

fragmented Many solutions based on ancient technology Most data formats are proprietary, hard to implement, or both ..and most with hierarchical data models Almost none with a focus on metrics Richard Hartmann Prometheus Prometheus has become a de-facto standard in cloud-native metric monitoring Ease of exposing data has lead to an explosion in compatible metrics endpoints Prometheus’ exposition format is based on OpenMetrics Outro Plans Beyond metrics OpenMetrics supports more than just metrics Every single data point in a time series can point to one single event Especially useful if you emit one trace id per

samples/second/core 16 bytes/sample compressed to 1.36 bit/sample Cheap ingestion & storage means more data for you Richard Hartmann & Frederic Branczyk @TwitchiH & @fredbrancz Intro to Prometheus Introduction Supports dozens of data sources Modern UI Allows for complex data manipulation and visualization Native Prometheus support New feature: Interactive exploration of Prometheus data Richard Hartmann &

04. CollectRule Control 夜莺Server数据处理 04. CollectRule Control 夜莺Server数据处理 05. data - write 夜莺Server数据处理 06. data - read 夜莺Server数据处理 夜莺设计实现 技术难点及细节 第六部分 0１. 规则集中化管理及自动发现 夜莺 技术难点及细节 0２. 采集器