Loki 日志系统详解

Loki 日志系统详解

- 背景 -

最近,在对公司容器云的日志方案进行设计的时候,发现主流的ELK或者EFK比较重,再加上现阶段对于ES复杂的搜索功能很多都用不上最终选择了Grafana开源的Loki日志系统,下面介绍下Loki的背景。

- 缘起 -

当我们的容器云运行的应用或者某个节点出现问题了,解决思路应该如下:

我们的监控使用的是基于Prometheus体系进行改造的,Prometheus中比较重要的是Metric和Alert,Metric是来说明当前或者历史达到了某个值,Alert设置Metric达到某个特定的基数触发了告警,但是这些信息明显是不够的。

我们都知道,Kubernetes的基本单位是Pod,Pod把日志输出到stdout和stderr,平时有什么问题我们通常在界面或者通过命令查看相关的日志,举个例子:当我们的某个Pod的内存变得很大,触发了我们的Alert,这个时候管理员,去页面查询确认是哪个Pod有问题,然后要确认Pod内存变大的原因,我们还需要去查询Pod的日志,如果没有日志系统,那么我们就需要到页面或者使用命令进行查询了:

如果,这个时候应用突然挂了,这个时候我们就无法查到相关的日志了,所以需要引入日志系统,统一收集日志,而使用ELK的话,就需要在Kibana和Grafana之间切换,影响用户体验。所以 ,loki的第一目的就是最小化度量和日志的切换成本,有助于减少异常事件的响应时间和提高用户的体验。

- ELK 存在的问题 -

现有的很多日志采集的方案都是采用全文检索对日志进行索引(如ELK方案),优点是功能丰富,允许复杂的操作。但是,这些方案往往规模复杂,资源占用高,操作苦难。很多功能往往用不上,大多数查询只关注一定时间范围和一些简单的参数(如host、service等),使用这些解决方案就有点杀鸡用牛刀的感觉了。

因此,Loki的第二个目的是,在查询语言的易操作性和复杂性之间可以达到一个权衡。

- 成本 -

全文检索的方案也带来成本问题,简单的说就是全文搜索(如ES)的倒排索引的切分和共享的成本较高。后来出现了其他不同的设计方案如:OKlog,采用最终一致的、基于网格的分布策略。这两个设计决策提供了大量的成本降低和非常简单的操作,但是查询不够方便。因此,Loki的第三个目的是,提高一个更具成本效益的解决方案。

- 架构 -

整体架构

Loki的架构如下:

不难看出,Loki的架构非常简单,使用了和Prometheus一样的标签来作为索引,也就是说,你通过这些标签既可以查询日志的内容也可以查询到监控的数据,不但减少了两种查询之间的切换成本,也极大地降低了日志索引的存储。

Loki将使用与Prometheus相同的服务发现和标签重新标记库,编写了pormtail,在Kubernetes中promtail以DaemonSet方式运行在每个节点中,通过Kubernetes API等到日志的正确元数据,并将它们发送到Loki。下面是日志的存储架构:

- 读写 -

日志数据的写主要依托的是Distributor和Ingester两个组件,整体的流程如下:

- Distributor -

一旦promtail收集日志并将其发送给loki,Distributor就是第一个接收日志的组件。由于日志的写入量可能很大,所以不能在它们传入时将它们写入数据库。这会毁掉数据库。我们需要批处理和压缩数据。

Loki通过构建压缩数据块来实现这一点,方法是在日志进入时对其进行gzip操作,组件ingester是一个有状态的组件,负责构建和刷新chunck,当chunk达到一定的数量或者时间后,刷新到存储中去。每个流的日志对应一个ingester,当日志到达Distributor后,根据元数据和hash算法计算出应该到哪个ingester上面。

此外,为了冗余和弹性,我们将其复制n(默认情况下为3)次。

- Ingester -

Ingester接收到日志并开始构建chunk:

基本上就是将日志进行压缩并附加到chunk上面。一旦chunk“填满”(数据达到一定数量或者过了一定期限),ingester将其刷新到数据库。我们对块和索引使用单独的数据库,因为它们存储的数据类型不同。

刷新一个chunk之后,ingester然后创建一个新的空chunk并将新条目添加到该chunk中。

- Querier -

读取就非常简单了,由Querier负责给定一个时间范围和标签选择器,Querier查看索引以确定哪些块匹配,并通过greps将结果显示出来。它还从Ingester获取尚未刷新的最新数据。

对于每个查询,一个查询器将为您显示所有相关日志。实现了查询并行化,提供分布式grep,使即使是大型查询也是足够的。

- 可扩展性 -

Loki的索引存储可以是cassandra/bigtable/dynamodb,而chuncks可以是各种对象存储,Querier和Distributor都是无状态的组件。对于ingester他虽然是有状态的但是,当新的节点加入或者减少,整节点间的chunk会重新分配,已适应新的散列环。而Loki底层存储的实现Cortex已经 在实际的生产中投入使用多年了。有了这句话,我可以放心的在环境中实验一把了。

- 部署 -

Loki的安装非常简单。

创建namespace

代码语言:javascript复制oc new-project loki权限设置

代码语言:javascript复制oc adm policy add-scc-to-user anyuid -z default -n loki

oc adm policy add-cluster-role-to-user cluster-admin system:serviceaccount:loki:default安装Loki

安装命令:

代码语言:javascript复制oc create -f statefulset.json -n lokistatefulset.json如下:

代码语言:javascript复制{

"apiVersion": "apps/v1",

"kind": "StatefulSet",

"metadata": {

"name": "loki"

},

"spec": {

"podManagementPolicy": "OrderedReady",

"replicas": 1,

"revisionHistoryLimit": 10,

"selector": {

"matchLabels": {

"app": "loki"

}

},

"serviceName": "womping-stoat-loki-headless",

"template": {

"metadata": {

"annotations": {

"checksum/config": "da297d66ee53e0ce68b58e12be7ec5df4a91538c0b476cfe0ed79666343df72b",

"prometheus.io/port": "http-metrics",

"prometheus.io/scrape": "true"

},

"creationTimestamp": null,

"labels": {

"app": "loki",

"name": "loki"

}

},

"spec": {

"affinity": {},

"containers": [

{

"args": [

"-config.file=/etc/loki/local-config.yaml"

],

"image": "grafana/loki:latest",

"imagePullPolicy": "IfNotPresent",

"livenessProbe": {

"failureThreshold": 3,

"httpGet": {

"path": "/ready",

"port": "http-metrics",

"scheme": "HTTP"

},

"initialDelaySeconds": 45,

"periodSeconds": 10,

"successThreshold": 1,

"timeoutSeconds": 1

},

"name": "loki",

"ports": [

{

"containerPort": 3100,

"name": "http-metrics",

"protocol": "TCP"

}

],

"readinessProbe": {

"failureThreshold": 3,

"httpGet": {

"path": "/ready",

"port": "http-metrics",

"scheme": "HTTP"

},

"initialDelaySeconds": 45,

"periodSeconds": 10,

"successThreshold": 1,

"timeoutSeconds": 1

},

"resources": {},

"terminationMessagePath": "/dev/termination-log",

"terminationMessagePolicy": "File",

"volumeMounts": [

{

"mountPath": "/tmp/loki",

"name": "storage"

}

]

}

],

"dnsPolicy": "ClusterFirst",

"restartPolicy": "Always",

"schedulerName": "default-scheduler",

"terminationGracePeriodSeconds": 30,

"volumes": [

{

"emptyDir": {},

"name": "storage"

}

]

}

},

"updateStrategy": {

"type": "RollingUpdate"

}

}

}安装Promtail

安装命令:

代码语言:javascript复制oc create -f configmap.json -n lokiconfigmap.json如下:

代码语言:javascript复制{

"apiVersion": "v1",

"data": {

/*

* 提示:该行代码过长,系统自动注释不进行高亮。一键复制会移除系统注释

* "promtail.yaml": "client:\n backoff_config:\n maxbackoff: 5s\n maxretries: 5\n minbackoff: 100ms\n batchsize: 102400\n batchwait: 1s\n external_labels: {}\n timeout: 10s\npositions:\n filename: /run/promtail/positions.yaml\nserver:\n http_listen_port: 3101\ntarget_config:\n sync_period: 10s\n\nscrape_configs:\n- job_name: kubernetes-pods-name\n pipeline_stages:\n - docker: {}\n \n kubernetes_sd_configs:\n - role: pod\n relabel_configs:\n - source_labels:\n - __meta_kubernetes_pod_label_name\n target_label: __service__\n - source_labels:\n - __meta_kubernetes_pod_node_name\n target_label: __host__\n - action: drop\n regex: ^$\n source_labels:\n - __service__\n - action: labelmap\n regex: __meta_kubernetes_pod_label_(.+)\n - action: replace\n replacement: $1\n separator: /\n source_labels:\n - __meta_kubernetes_namespace\n - __service__\n target_label: job\n - action: replace\n source_labels:\n - __meta_kubernetes_namespace\n target_label: namespace\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_name\n target_label: instance\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_container_name\n target_label: container_name\n - replacement: /var/log/pods/*$1/*.log\n separator: /\n source_labels:\n - __meta_kubernetes_pod_uid\n - __meta_kubernetes_pod_container_name\n target_label: __path__\n- job_name: kubernetes-pods-app\n pipeline_stages:\n - docker: {}\n \n kubernetes_sd_configs:\n - role: pod\n relabel_configs:\n - action: drop\n regex: .+\n source_labels:\n - __meta_kubernetes_pod_label_name\n - source_labels:\n - __meta_kubernetes_pod_label_app\n target_label: __service__\n - source_labels:\n - __meta_kubernetes_pod_node_name\n target_label: __host__\n - action: drop\n regex: ^$\n source_labels:\n - __service__\n - action: labelmap\n regex: __meta_kubernetes_pod_label_(.+)\n - action: replace\n replacement: $1\n separator: /\n source_labels:\n - __meta_kubernetes_namespace\n - __service__\n target_label: job\n - action: replace\n source_labels:\n - __meta_kubernetes_namespace\n target_label: namespace\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_name\n target_label: instance\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_container_name\n target_label: container_name\n - replacement: /var/log/pods/*$1/*.log\n separator: /\n source_labels:\n - __meta_kubernetes_pod_uid\n - __meta_kubernetes_pod_container_name\n target_label: __path__\n- job_name: kubernetes-pods-direct-controllers\n pipeline_stages:\n - docker: {}\n \n kubernetes_sd_configs:\n - role: pod\n relabel_configs:\n - action: drop\n regex: .+\n separator: ''\n source_labels:\n - __meta_kubernetes_pod_label_name\n - __meta_kubernetes_pod_label_app\n - action: drop\n regex: ^([0-9a-z-.]+)(-[0-9a-f]{8,10})$\n source_labels:\n - __meta_kubernetes_pod_controller_name\n - source_labels:\n - __meta_kubernetes_pod_controller_name\n target_label: __service__\n - source_labels:\n - __meta_kubernetes_pod_node_name\n target_label: __host__\n - action: drop\n regex: ^$\n source_labels:\n - __service__\n - action: labelmap\n regex: __meta_kubernetes_pod_label_(.+)\n - action: replace\n replacement: $1\n separator: /\n source_labels:\n - __meta_kubernetes_namespace\n - __service__\n target_label: job\n - action: replace\n source_labels:\n - __meta_kubernetes_namespace\n target_label: namespace\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_name\n target_label: instance\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_container_name\n target_label: container_name\n - replacement: /var/log/pods/*$1/*.log\n separator: /\n source_labels:\n - __meta_kubernetes_pod_uid\n - __meta_kubernetes_pod_container_name\n target_label: __path__\n- job_name: kubernetes-pods-indirect-controller\n pipeline_stages:\n - docker: {}\n \n kubernetes_sd_configs:\n - role: pod\n relabel_configs:\n - action: drop\n regex: .+\n separator: ''\n source_labels:\n - __meta_kubernetes_pod_label_name\n - __meta_kubernetes_pod_label_app\n - action: keep\n regex: ^([0-9a-z-.]+)(-[0-9a-f]{8,10})$\n source_labels:\n - __meta_kubernetes_pod_controller_name\n - action: replace\n regex: ^([0-9a-z-.]+)(-[0-9a-f]{8,10})$\n source_labels:\n - __meta_kubernetes_pod_controller_name\n target_label: __service__\n - source_labels:\n - __meta_kubernetes_pod_node_name\n target_label: __host__\n - action: drop\n regex: ^$\n source_labels:\n - __service__\n - action: labelmap\n regex: __meta_kubernetes_pod_label_(.+)\n - action: replace\n replacement: $1\n separator: /\n source_labels:\n - __meta_kubernetes_namespace\n - __service__\n target_label: job\n - action: replace\n source_labels:\n - __meta_kubernetes_namespace\n target_label: namespace\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_name\n target_label: instance\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_container_name\n target_label: container_name\n - replacement: /var/log/pods/*$1/*.log\n separator: /\n source_labels:\n - __meta_kubernetes_pod_uid\n - __meta_kubernetes_pod_container_name\n target_label: __path__\n- job_name: kubernetes-pods-static\n pipeline_stages:\n - docker: {}\n \n kubernetes_sd_configs:\n - role: pod\n relabel_configs:\n - action: drop\n regex: ^$\n source_labels:\n - __meta_kubernetes_pod_annotation_kubernetes_io_config_mirror\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_label_component\n target_label: __service__\n - source_labels:\n - __meta_kubernetes_pod_node_name\n target_label: __host__\n - action: drop\n regex: ^$\n source_labels:\n - __service__\n - action: labelmap\n regex: __meta_kubernetes_pod_label_(.+)\n - action: replace\n replacement: $1\n separator: /\n source_labels:\n - __meta_kubernetes_namespace\n - __service__\n target_label: job\n - action: replace\n source_labels:\n - __meta_kubernetes_namespace\n target_label: namespace\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_name\n target_label: instance\n - action: replace\n source_labels:\n - __meta_kubernetes_pod_container_name\n target_label: container_name\n - replacement: /var/log/pods/*$1/*.log\n separator: /\n source_labels:\n - __meta_kubernetes_pod_annotation_kubernetes_io_config_mirror\n - __meta_kubernetes_pod_container_name\n target_label: __path__\n"

*/

},

"kind": "ConfigMap",

"metadata": {

"creationTimestamp": "2019-09-05T01:05:03Z",

"labels": {

"app": "promtail",

"chart": "promtail-0.12.0",

"heritage": "Tiller",

"release": "lame-zorse"

},

"name": "lame-zorse-promtail",

"namespace": "loki",

"resourceVersion": "17921611",

"selfLink": "/api/v1/namespaces/loki/configmaps/lame-zorse-promtail",

"uid": "30fcb896-cf79-11e9-b58e-e4a8b6cc47d2"

}

}

oc create -f daemonset.json -n lokidaemonset.json如下:

代码语言:javascript复制代码语言:javascript复制{

"apiVersion": "apps/v1",

"kind": "DaemonSet",

"metadata": {

"annotations": {

"deployment.kubernetes.io/revision": "2"

},

"creationTimestamp": "2019-09-05T01:16:37Z",

"generation": 2,

"labels": {

"app": "promtail",

"chart": "promtail-0.12.0",

"heritage": "Tiller",

"release": "lame-zorse"

},

"name": "lame-zorse-promtail",

"namespace": "loki"

},

"spec": {

"progressDeadlineSeconds": 600,

"replicas": 1,

"revisionHistoryLimit": 10,

"selector": {

"matchLabels": {

"app": "promtail",

"release": "lame-zorse"

}

},

"strategy": {

"rollingUpdate": {

"maxSurge": 1,

"maxUnavailable": 1

},

"type": "RollingUpdate"

},

"template": {

"metadata": {

"annotations": {

"checksum/config": "75a25ee4f2869f54d394bf879549a9c89c343981a648f8d878f69bad65dba809",

"prometheus.io/port": "http-metrics",

"prometheus.io/scrape": "true"

},

"creationTimestamp": null,

"labels": {

"app": "promtail",

"release": "lame-zorse"

}

},

"spec": {

"affinity": {},

"containers": [

{

"args": [

"-config.file=/etc/promtail/promtail.yaml",

"-client.url=http://loki.loki.svc:3100/api/prom/push"

],

"env": [

{

"name": "HOSTNAME",

"valueFrom": {

"fieldRef": {

"apiVersion": "v1",

"fieldPath": "spec.nodeName"

}

}

}

],

"image": "grafana/promtail:v0.3.0",

"imagePullPolicy": "IfNotPresent",

"name": "promtail",

"ports": [

{

"containerPort": 3101,

"name": "http-metrics",

"protocol": "TCP"

}

],

"readinessProbe": {

"failureThreshold": 5,

"httpGet": {

"path": "/ready",

"port": "http-metrics",

"scheme": "HTTP"

},

"initialDelaySeconds": 10,

"periodSeconds": 10,

"successThreshold": 1,

"timeoutSeconds": 1

},

"resources": {},

"securityContext": {

"readOnlyRootFilesystem": true,

"runAsUser": 0

},

"terminationMessagePath": "/dev/termination-log",

"terminationMessagePolicy": "File",

"volumeMounts": [

{

"mountPath": "/etc/promtail",

"name": "config"

},

{

"mountPath": "/run/promtail",

"name": "run"

},

{

"mountPath": "/var/lib/docker/containers",

"name": "docker",

"readOnly": true

},

{

"mountPath": "/var/log/pods",

"name": "pods",

"readOnly": true

}

]

}

],

"dnsPolicy": "ClusterFirst",

"restartPolicy": "Always",

"schedulerName": "default-scheduler",

"securityContext": {},

"terminationGracePeriodSeconds": 30,

"volumes": [

{

"configMap": {

"defaultMode": 420,

"name": "lame-zorse-promtail"

},

"name": "config"

},

{

"hostPath": {

"path": "/run/promtail",

"type": ""

},

"name": "run"

},

{

"hostPath": {

"path": "/var/lib/docker/containers",

"type": ""

},

"name": "docker"

},

{

"hostPath": {

"path": "/var/log/pods",

"type": ""

},

"name": "pods"

}

]

}

}

}

}代码语言:javascript复制安装服务代码语言:javascript复制oc create -f service.json -n lokiservice.json的内容如下:

代码语言:javascript复制代码语言:javascript复制{

"apiVersion": "v1",

"kind": "Service",

"metadata": {

"creationTimestamp": "2019-09-04T09:37:49Z",

"name": "loki",

"namespace": "loki",

"resourceVersion": "17800188",

"selfLink": "/api/v1/namespaces/loki/services/loki",

"uid": "a87fe237-cef7-11e9-b58e-e4a8b6cc47d2"

},

"spec": {

"externalTrafficPolicy": "Cluster",

"ports": [

{

"name": "lokiport",

"port": 3100,

"protocol": "TCP",

"targetPort": 3100

}

],

"selector": {

"app": "loki"

},

"sessionAffinity": "None",

"type": "NodePort"

},

"status": {

"loadBalancer": {}

}- 语法 -

Loki提供了HTTP接口,我们这里就不详解了,大家可以看:https://github.com/grafana/loki/blob/master/docs/api.md

我们这里说下查询的接口如何使用。

第一步,获取当前Loki的元数据类型:

代码语言:javascript复制curl http://192.168.25.30:30972/api/prom/label

{

"values": ["alertmanager", "app", "component", "container_name", "controller_revision_hash", "deployment", "deploymentconfig", "docker_registry", "draft", "filename", "instance", "job", "logging_infra", "metrics_infra", "name", "namespace", "openshift_io_component", "pod_template_generation", "pod_template_hash", "project", "projectname", "prometheus", "provider", "release", "router", "servicename", "statefulset_kubernetes_io_pod_name", "stream", "tekton_dev_pipeline", "tekton_dev_pipelineRun", "tekton_dev_pipelineTask", "tekton_dev_task", "tekton_dev_taskRun", "type", "webconsole"]

}第二步,获取某个元数据类型的值:

代码语言:javascript复制curl http://192.168.25.30:30972/api/prom/label/namespace/values

{"values":["cicd","default","gitlab","grafanaserver","jenkins","jx-staging","kube-system","loki","mysql-exporter","new2","openshift-console","openshift-infra","openshift-logging","openshift-monitoring","openshift-node","openshift-sdn","openshift-web-console","tekton-pipelines","test111"]}第三步,根据label进行查询,例如:

代码语言:javascript复制http://192.168.25.30:30972/api/prom/query?direction=BACKWARD&limit=1000®exp=&query={namespace="cicd"}&start=1567644457221000000&end=1567730857221000000&refId=A参数解析:

query:一种查询语法详细见下面章节,{name=~“mysql.+”} or {namespace=“cicd”} |= "error"表示查询,namespace为CI/CD的日志中,有error字样的信息。limit:返回日志的数量start:开始时间,Unix时间表示方法 默认为,一小时前时间end:结束时间,默认为当前时间direction:forward或者backward,指定limit时候有用,默认为 backwardregexp:对结果进行regex过滤- LogQL 语法 -

选择器

对于查询表达式的标签部分,将放在{}中,多个标签表达式用逗号分隔:

代码语言:javascript复制{app="mysql",name="mysql-backup"}支持的符号有:

=:完全相同。!=:不平等。=~:正则表达式匹配。!~:不要正则表达式匹配。- 过滤表达式 -

编写日志流选择器后,您可以通过编写搜索表达式进一步过滤结果。搜索表达式可以文本或正则表达式。

如:

{job=“mysql”} |= “error”{name=“kafka”} |~ “tsdb-ops.*io:2003”{instance=~“kafka-[23]”,name=“kafka”} != kafka.server:type=ReplicaManager支持多个过滤:

{job=“mysql”} |= “error” != “timeout”目前支持的操作符:

|= line包含字符串。!= line不包含字符串。|~ line匹配正则表达式。!~ line与正则表达式不匹配。表达式遵循https://github.com/google/re2/wiki/Syntax语法。

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