From 8cfbb83a9b9558c42f20d668a1e00dc508488063 Mon Sep 17 00:00:00 2001 From: ethan Date: Sun, 13 Nov 2022 15:52:23 +0800 Subject: [PATCH] update stats to prometheus metric Signed-off-by: ethan --- .../observability/Prometheus.md | 55 +- .../observability/hango_route_stats.json | 910 ++++++++++++++++++ .../observability/img/stats-arc.png | Bin 0 -> 102501 bytes 3 files changed, 964 insertions(+), 1 deletion(-) create mode 100644 docs/user-guide/best-practices/observability/hango_route_stats.json create mode 100644 docs/user-guide/best-practices/observability/img/stats-arc.png diff --git a/docs/user-guide/best-practices/observability/Prometheus.md b/docs/user-guide/best-practices/observability/Prometheus.md index 3859c2f..5fad93f 100644 --- a/docs/user-guide/best-practices/observability/Prometheus.md +++ b/docs/user-guide/best-practices/observability/Prometheus.md @@ -1 +1,54 @@ -# 指标 \ No newline at end of file +# 指标 + +Hango 网关暴露丰富的指标项，可以天然的对接prometheus。最佳实践中，我们也是推荐大家可以利用现有的Prometheus采集Hango proxy暴露的指标，达到网关观测的目的。 + +Hango团队在扩展[envoy基础指标](https://www.envoyproxy.io/docs/envoy/v1.21.5/configuration/upstream/cluster_manager/cluster_stats)基础上上，总结网关实践指标场景，在envoy现有upstream指标的基础上，扩展http_filter，增加proxy.filters.http.detailed_stats filter用于采集路由级别指标，达到在route维度进行指标观测的目的。 + +## 整体架构 + +Hango stats的整体架构如下： +![](img/stats-arc.png) + +Envoy 社区提供了名为 [VirtualCluster](https://www.envoyproxy.io/docs/envoy/v1.21.5/api-v3/config/route/v3/route_components.proto#config-route-v3-virtualcluster) 的特性对请求结果做聚合来实现类似的效果。但是 VirtualCluster 在实现层面是基于而且的请求匹配来实现的，即一个 VirtualCluster 就是一条额外的匹配规则，请求在处理完成后，会遍历匹配所有的 VirtualCluster，命中则增加对应计数。该方法有以下的缺陷： + + * 使用复杂：如果要使用该方法实现路由粒度的指标，必须对每一条路由都创建一条匹配规则完全相同的 VirtualCluster 匹配规则；同时，VirtualCluster 中匹配规则顺序必须和路由匹配顺序保持一致。 + * 性能劣化：为了生成对应的指标，必须要做二次的请求匹配过程。在路由数稍大时，这一部分开销就不可忽略。 + +所以，VirtualCluster 特定可以适用于一些自定义的指标生成。但是并不适用于明确的路由粒度细粒度指标生成。 +此外，在上游方向，除了 Upstream（目标服务维度）指标外，Envoy 本身内嵌了一些 Endpoint 指标，但是不会输出，且只包含 L4 连接相关的指标，达不到实践过程的需求。 + +因此，Hango团队对envoy指标进行扩展，通过L7 filter扩展自定义指标，通过一个额外的7层扩展来专职实现路由粒度指标。该扩展只需使用metadata来提供额外的配置数据生成路由以及Upstream Host级别的细粒度指标特征。参考： +``` +metadata: + filter_metadata: + proxy.filters.http.detailed_stats: + stats: + - stat_segment_0 + - stat_segment_1 +``` + +Hango已经自动通过路由id以及uri生成对应的detailed_stats。你只需要直接通过路由id获取对应的metric就可以完成指标集成Prometheus。 + +## 指标项参考 + +原始指标参考： +| 名称 | 类型 | 描述 | +| ------------------------------------ | ------- | ------------ | +| detailed_route.{route_segement_0}.request_total | Counter | 路由请求总数 | +| detailed_route.{route_segement_0}.request_bytes | Counter | 路由请求字节 | +| detailed_route.{route_segement_0}.request_bytes | Counter | 路由响应字节 | +| detailed_route.{route_segement_0}.request_time (bucket) | Counter | 路由耗时 | + +为了输出prometheus,需要配置额外的 TagExtractor 来提取其中数据。 Hango已经默认在Hango Proxy config中进行了配置，参考： +``` +# For tag from metadata +"^detailed_route(\\.(.*?))\\." +# For response code +"^detailed_route\\..*?\\..*?(\\.(.{3}))" +# For response flag +"^detailed_route\\..*?\\..*?\\..{3}(\\.(.*))" +``` + +## Grafna面板参考 + +[Hango Route Stat Grafana](hango_route_stats.json) \ No newline at end of file diff --git a/docs/user-guide/best-practices/observability/hango_route_stats.json b/docs/user-guide/best-practices/observability/hango_route_stats.json new file mode 100644 index 0000000..9015c01 --- /dev/null +++ b/docs/user-guide/best-practices/observability/hango_route_stats.json @@ -0,0 +1,910 @@ +{ + "annotations": { + "list": [ + { + "builtIn": 1, + "datasource": "Prometheus-envoy-gateway", + "enable": true, + "hide": true, + "iconColor": "rgba(0, 211, 255, 1)", + "name": "Annotations & Alerts", + "type": "dashboard" + } + ] + }, + "description": "Envoy Gateway Monitor", + "editable": true, + "gnetId": 7250, + "graphTooltip": 0, + "id": 25, + "iteration": 1655809284886, + "links": [], + "panels": [ + { + "columns": [], + "datasource": "Prometheus-envoy-gateway", + "fieldConfig": { + "defaults": { + "custom": {} + }, + "overrides": 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