【prometheus】- 01 云原生时代的监控系统入门

Prometheus启动流程

概述

Prometheus最开始设计是一个面向云原生应用程序的开源的监控&报警工具,之后许多公司和组织接受和采用prometheus,他们便将它独立成开源项目,该项目有非常活跃的社区和开发人员,目前是独立的开源项目,现在最常见的Kubernetes容器管理系统中,通常会搭配Prometheus进行监控。

下面是官网给出的Prometheus架构图:

代码入口

prometheus采用Golang开发语言,其源码官网地址:https://github.com/prometheus/prometheus,服务启动代码入口:cmd/prometheus/main.go

cli参数解析

1、初始化flagConfig结构体

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cfg := flagConfig{
  notifier: notifier.Options{
   // 默认注册器注册 cpu 和 go 指标收集器
   Registerer: prometheus.DefaultRegisterer,
  },
  web: web.Options{
   Registerer: prometheus.DefaultRegisterer,
   Gatherer:   prometheus.DefaultGatherer,
  },
  promlogConfig: promlog.Config{},
 }

flagConfig结构体定义如下,用于存放cli解析配置信息:

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type flagConfig struct {
 configFile string

localStoragePath string
notifier notifier.Options
forGracePeriod model.Duration
outageTolerance model.Duration
resendDelay model.Duration
web web.Options
tsdb tsdbOptions
lookbackDelta model.Duration
webTimeout model.Duration
queryTimeout model.Duration
queryConcurrency int
queryMaxSamples int
RemoteFlushDeadline model.Duration

featureList []string
// These options are extracted from featureList
// for ease of use.
enablePromQLAtModifier bool
enablePromQLNegativeOffset bool
enableExpandExternalLabels bool

prometheusURL string
corsRegexString string

promlogConfig promlog.Config
}

2、将cli参数绑定到flagConfig结构体的变量上:

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a.Flag("config.file", "Prometheus configuration file path.").
Default("prometheus.yml").StringVar(&cfg.configFile)

a.Flag("web.listen-address", "Address to listen on for UI, API, and telemetry.").
Default("0.0.0.0:9090").StringVar(&cfg.web.ListenAddress)

a.Flag("web.read-timeout",
"Maximum duration before timing out read of the request, and closing idle connections.").
Default("5m").SetValue(&cfg.webTimeout)
...

3、prometheus支持的cli参数可以通过prometheus -h查看,如下图:

比如这里最常见的几个参数:

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--config.file:指定prometheus主配置文件路径
--web.listen-address:指定prometheus监听地址
--storage.tsdb.path:本地存储模式数据存放目录
--storage.tsdb.retention.time:本地存储模式存放时间,默认15天
--storage.tsdb.retention.size:数据保存的最大大小,支持的单位 B, KB, MB, GB, TB, PB, EB. Ex

4、解析cli参数

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_, err := a.Parse(os.Args[1:])

os.Args[1:]获取到prometheus启动命令后所有参数信息,a.Parse()方法将命令行参数解析存放到上面初始化的flagConfig结构体的变量里,变量和命令行参数通过上面的a.Flag()方法进行绑定。

配置初始化

1、prometheus.yml合法性校验:config.LoadFile()方法用于解析校验prometheus.yml配置文件

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if _, err := config.LoadFile(cfg.configFile, false, log.NewNopLogger()); err != nil {
level.Error(logger).Log("msg", fmt.Sprintf("Error loading config (--config.file=%s)", cfg.configFile), "err", err)
os.Exit(2)
}

// Now that the validity of the config is established, set the config
// success metrics accordingly, although the config isn't really loaded
// yet. This will happen later (including setting these metrics again),
// but if we don't do it now, the metrics will stay at zero until the
// startup procedure is complete, which might take long enough to
// trigger alerts about an invalid config.
configSuccess.Set(1)
configSuccessTime.SetToCurrentTime()

“注意,这里只解析prometheus.yml配置文件只用于校验配置文件合法性,并没有保留解析结果;校验成功后设置prometheus自身监控指标:prometheus_config_last_reload_successful和prometheus_config_last_reload_success_timestamp_seconds,避免prometheus_config_last_reload_successful为0的时间也就是启动的时间足够长可能触发配置无效的告警。

2、存储时长存储空间容量配置参数初始化:

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{ // Time retention settings.
// --storage.tsdb.retention参数已被废弃,不建议使用,如果使用会打印warn警告日志
if oldFlagRetentionDuration != 0 {
level.Warn(logger).Log("deprecation_notice", "'storage.tsdb.retention' flag is deprecated use 'storage.tsdb.retention.time' instead.")
cfg.tsdb.RetentionDuration = oldFlagRetentionDuration
}

// --storage.tsdb.retention.time赋值给cfg.tsdb.RetentionDuration
if newFlagRetentionDuration != 0 {
cfg.tsdb.RetentionDuration = newFlagRetentionDuration
}

// --storage.tsdb.retention.time和--storage.tsdb.retention.size都为0,即既没有限制存储最大时长,也没有限制存储最大空间容量场景下,默认存储15d(天)

if cfg.tsdb.RetentionDuration == 0 && cfg.tsdb.MaxBytes == 0 {
cfg.tsdb.RetentionDuration = defaultRetentionDuration
level.Info(logger).Log("msg", "No time or size retention was set so using the default time retention", "duration", defaultRetentionDuration)
}

// Check for overflows. This limits our max retention to 100y.
// 如果最大存储时长过大溢出整数范围,则限制为100年
if cfg.tsdb.RetentionDuration < 0 {
y, err := model.ParseDuration("100y")
if err != nil {
panic(err)
}
cfg.tsdb.RetentionDuration = y
level.Warn(logger).Log("msg", "Time retention value is too high. Limiting to: "+y.String())
}
}

3、storage.tsdb.max-block-duration参数初始化:

prometheus tsdb数据文件最终会被存储到本地chunks文件中,storage.tsdb.max-block-duration就是限制单个chunks文件最大大小。默认为存储时长的 10%且不超过31d(天)

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{
if cfg.tsdb.MaxBlockDuration == 0 {
maxBlockDuration, err := model.ParseDuration("31d")
if err != nil {
panic(err)
}
// When the time retention is set and not too big use to define the max block duration.
if cfg.tsdb.RetentionDuration != 0 && cfg.tsdb.RetentionDuration/10 < maxBlockDuration {
maxBlockDuration = cfg.tsdb.RetentionDuration / 10
}
cfg.tsdb.MaxBlockDuration = maxBlockDuration
}
}

组件初始化

1、Storage组件初始化:

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/**
Prometheus的Storage组件是时序数据库,包含两个:localStorage和remoteStorage.localStorage当前版本指TSDB,
用于对metrics的本地存储存储,remoteStorage用于metrics的远程存储,其中fanoutStorage作为localStorage和remoteStorage的读写代理服务器
*/
var (
// 本地存储
localStorage = &readyStorage{}
scraper = &readyScrapeManager{}
// 远程存储
remoteStorage = remote.NewStorage(log.With(logger, "component", "remote"), prometheus.DefaultRegisterer, localStorage.StartTime, cfg.localStoragePath, time.Duration(cfg.RemoteFlushDeadline), scraper)
// 读写代理服务器
fanoutStorage = storage.NewFanout(logger, localStorage, remoteStorage)
)

2、notifierManager组件:该组件用于发送告警信息给AlertManager

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notifierManager = notifier.NewManager(&cfg.notifier, log.With(logger, "component", "notifier"))

3、discoveryManagerScrape组件:该组件用于服务发现,当前版本支持多种服务发现系统,比如静态文件、eurekakubertenes

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discoveryManagerScrape  = discovery.NewManager(ctxScrape, log.With(logger, "component", "discovery manager scrape"), discovery.Name("scrape"))

4、discoveryManagerNotify组件:该组件用于告警通知服务发现,比如自动发现AlertManager服务

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discoveryManagerNotify  = discovery.NewManager(ctxNotify, log.With(logger, "component", "discovery manager notify"), discovery.Name("notify"))

“discoveryManagerScrape组件和discoveryManagerNotify组件两个组件都是discovery.Manager类型组件,都是通过discovery.NewManager()方式创建,所以它们原理是一样的,因为它们都是用于服务发现。

5、scrapeManager组件:该组件对discoveryManagerScrape组件发现的所有targets进行metrics指标抓取,并将抓取的metrics指标使用fanoutStorage组件进行存储

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scrapeManager = scrape.NewManager(log.With(logger, "component", "scrape manager"), fanoutStorage)

6、queryEngine组件:promql查询引擎

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// 声明 promql 的引擎配置
opts = promql.EngineOpts{
Logger: log.With(logger, "component", "query engine"),
Reg: prometheus.DefaultRegisterer,
MaxSamples: cfg.queryMaxSamples,
Timeout: time.Duration(cfg.queryTimeout), // 查询超时时
ActiveQueryTracker: promql.NewActiveQueryTracker(cfg.localStoragePath, cfg.queryConcurrency, log.With(logger, "component", "activeQueryTracker")),
LookbackDelta: time.Duration(cfg.lookbackDelta),
NoStepSubqueryIntervalFn: noStepSubqueryInterval.Get,
EnableAtModifier: cfg.enablePromQLAtModifier,
EnableNegativeOffset: cfg.enablePromQLNegativeOffset,
}
// 初始化queryEngine
queryEngine = promql.NewEngine(opts)

7、ruleManager组件:

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//ruleManager组件通过方法rules.NewManager完成初始化.其中rules.NewManager的参数涉及多个组件:存储,queryEngine和notifier,整个流程包含rule计算和发送告警
ruleManager = rules.NewManager(&rules.ManagerOptions{
Appendable: fanoutStorage,
Queryable: localStorage,
QueryFunc: rules.EngineQueryFunc(queryEngine, fanoutStorage),
NotifyFunc: sendAlerts(notifierManager, cfg.web.ExternalURL.String()),
Context: ctxRule,
ExternalURL: cfg.web.ExternalURL,
Registerer: prometheus.DefaultRegisterer,
Logger: log.With(logger, "component", "rule manager"),
OutageTolerance: time.Duration(cfg.outageTolerance),
ForGracePeriod: time.Duration(cfg.forGracePeriod),
ResendDelay: time.Duration(cfg.resendDelay),
})

//
scraper.Set(scrapeManager)

8、webHandler组件:该组件用于web服务启动,这样可以通过http方式访问prometheus,比如调用promql语句

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// Depends on cfg.web.ScrapeManager so needs to be after cfg.web.ScrapeManager = scrapeManager.
webHandler := web.New(log.With(logger, "component", "web"), &cfg.web)

ApplyConfig

prometheus.ymlprometheus核心配置文件,待prometheus.yml配置信息解析到config.Config结构体中,然后调用各个组件定义的ApplyConfig(conf *config.Config)提取自己相关配置数据进行处理:

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reloaders := []reloader{
{
name: "remote_storage",
// 存储配置
reloader: remoteStorage.ApplyConfig,
}, {
name: "web_handler",
// web配置
reloader: webHandler.ApplyConfig,
}, {
name: "query_engine",
reloader: func(cfg *config.Config) error {
if cfg.GlobalConfig.QueryLogFile == "" {
queryEngine.SetQueryLogger(nil)
return nil
}

l, err := logging.NewJSONFileLogger(cfg.GlobalConfig.QueryLogFile)
if err != nil {
return err
}
queryEngine.SetQueryLogger(l)
return nil
},
}, {
// The Scrape and notifier managers need to reload before the Discovery manager as
// they need to read the most updated config when receiving the new targets list.
// scrape 和 notifier manager 要在 discovery manager 之前重新加载,因为它们要在获取新的监控目标之前最新配置
name: "scrape",
// scrapeManger配置
reloader: scrapeManager.ApplyConfig,
}, {
name: "scrape_sd",
//从配置文件中提取Section:scrape_configs
reloader: func(cfg *config.Config) error {
c := make(map[string]discovery.Configs)
for _, v := range cfg.ScrapeConfigs {
c[v.JobName] = v.ServiceDiscoveryConfigs
}
return discoveryManagerScrape.ApplyConfig(c)
},
}, {
name: "notify",
// notifier配置
reloader: notifierManager.ApplyConfig,
}, {
name: "notify_sd",
//从配置文件中提取Section:alerting
reloader: func(cfg *config.Config) error {
c := make(map[string]discovery.Configs)
for k, v := range cfg.AlertingConfig.AlertmanagerConfigs.ToMap() {
c[k] = v.ServiceDiscoveryConfigs
}
return discoveryManagerNotify.ApplyConfig(c)
},
}, {
name: "rules",
//从配置文件中提取Section:rule_files
reloader: func(cfg *config.Config) error {
// Get all rule files matching the configuration paths.
var files []string
for _, pat := range cfg.RuleFiles {
fs, err := filepath.Glob(pat)
if err != nil {
// The only error can be a bad pattern.
return errors.Wrapf(err, "error retrieving rule files for %s", pat)
}
files = append(files, fs...)
}
return ruleManager.Update(
time.Duration(cfg.GlobalConfig.EvaluationInterval),
files,
cfg.GlobalConfig.ExternalLabels,
)
},
},
}

启动组件

prometheus组件初始化完成,并且完成对prometheus.yml配置中信息处理,下面就开始启动这些组件。

prometheus组件间协调使用了oklog/rungoroutine编排工具,大致逻辑:

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var g run.Group

//加入goroutine(或者称为 actor)
g.Add(...)
g.Add(...)

//调用Run方法后会启动所有goroutine(或者称为 actor)
if err := g.Run(); err != nil {
level.Error(logger).Log("err", err)
os.Exit(1)
}

prometheus启动总共涉及到如下10个协程:

1、优雅退出

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// 创建监听退出chan
term := make(chan os.Signal, 1)
// pkill信号syscall.SIGTERM
// ctrl+c信号os.Interrupt
// 首先我们创建一个os.Signal channel,然后使用signal.Notify注册要接收的信号。
signal.Notify(term, os.Interrupt, syscall.SIGTERM)
cancel := make(chan struct{})

g.Add(
func() error {
// Don't forget to release the reloadReady channel so that waiting blocks can exit normally.
select {
case <-term: //监听到系统ctrl+c或kill等程序退出信号
level.Warn(logger).Log("msg", "Received SIGTERM, exiting gracefully...")
reloadReady.Close()
case <-webHandler.Quit()://监听到web服务停止
level.Warn(logger).Log("msg", "Received termination request via web service, exiting gracefully...")
case <-cancel://其它需要退出程序信号
reloadReady.Close()
}
return nil
},
func(err error) {
close(cancel)
},
)

2、discoveryManagerScrape组件启动:抓取scrape组件自动发现targets

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g.Add(
func() error {
err := discoveryManagerScrape.Run()
level.Info(logger).Log("msg", "Scrape discovery manager stopped")
return err
},
func(err error) {
level.Info(logger).Log("msg", "Stopping scrape discovery manager...")
cancelScrape()
},
)

3、discoveryManagerNotify组件启动:告警AlertManager服务自动发现

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g.Add(
func() error {
err := discoveryManagerNotify.Run()
level.Info(logger).Log("msg", "Notify discovery manager stopped")
return err
},
func(err error) {
level.Info(logger).Log("msg", "Stopping notify discovery manager...")
cancelNotify()
},
)

4、scrapeManager组件启动,用于监控指标抓取

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g.Add(
func() error {
// When the scrape manager receives a new targets list
// it needs to read a valid config for each job.
// It depends on the config being in sync with the discovery manager so
// we wait until the config is fully loaded.
// 当所有配置都准备好
// scrape manager 获取到新的抓取目标列表时,它需要读取每个 job 的合法的配置。
// 这依赖于正在被 discovery manager 同步的配置文件,所以要等到配置加载完成。
<-reloadReady.C
level.Info(logger).Log("cus_msg", "--->ScrapeManager reloadReady")
// 启动scrapeManager
//ScrapeManager组件的启动函数
err := scrapeManager.Run(discoveryManagerScrape.SyncCh())
level.Info(logger).Log("msg", "Scrape manager stopped")
return err
},
func(err error) {
// 失败处理
// Scrape manager needs to be stopped before closing the local TSDB
// so that it doesn't try to write samples to a closed storage.
level.Info(logger).Log("msg", "Stopping scrape manager...")
scrapeManager.Stop()
},
)

5、配置动态加载:通过监听kill -HUP pid信号和curl -XPOST http://ip:9090/-/reload方式实现配置动态加载;

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// Make sure that sighup handler is registered with a redirect to the channel before the potentially
// long and synchronous tsdb init.
// tsdb 初始化时间可能很长,确保 sighup 处理函数在这之前注册完成。
hup := make(chan os.Signal, 1)
signal.Notify(hup, syscall.SIGHUP)
cancel := make(chan struct{})
g.Add(
func() error {
<-reloadReady.C
for {
select {
case <-hup:
if err := reloadConfig(cfg.configFile, cfg.enableExpandExternalLabels, logger, noStepSubqueryInterval, reloaders...); err != nil {
level.Error(logger).Log("msg", "Error reloading config", "err", err)
}
case rc := <-webHandler.Reload():
if err := reloadConfig(cfg.configFile, cfg.enableExpandExternalLabels, logger, noStepSubqueryInterval, reloaders...); err != nil {
level.Error(logger).Log("msg", "Error reloading config", "err", err)
rc <- err
} else {
rc <- nil
}
case <-cancel:
return nil
}
}
},
func(err error) {
// Wait for any in-progress reloads to complete to avoid
// reloading things after they have been shutdown.
cancel <- struct{}{}
},
)

6、配置加载:通过reloadConfig()方法将prometheus.yml配置文件加载进来

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cancel := make(chan struct{})
g.Add(
func() error {
select {
case <-dbOpen:
// In case a shutdown is initiated before the dbOpen is released
case <-cancel:
reloadReady.Close()
return nil
}

//加载解析prometheus.yml配置文件,并调用各个组件ApplyConfig()方法将配置传入
if err := reloadConfig(cfg.configFile, cfg.enableExpandExternalLabels, logger, noStepSubqueryInterval, reloaders...); err != nil {
return errors.Wrapf(err, "error loading config from %q", cfg.configFile)
}
//配置加载完毕,执行reloadReady.Close()关闭reloadReady.C通道,这样 <-reloadReady.C 阻塞地方可以继续向下执行
reloadReady.Close()
webHandler.Ready()
level.Info(logger).Log("msg", "Server is ready to receive web requests.")
<-cancel
return nil
},
func(err error) {
close(cancel)
},
)

7、ruleManager组件启动,用于进行rule规则计算:

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g.Add(
func() error {
<-reloadReady.C
ruleManager.Run()
return nil
},
func(err error) {
ruleManager.Stop()
},
)

8、tsdb模块启动,用户监控数据存储:

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opts := cfg.tsdb.ToTSDBOptions()
cancel := make(chan struct{})
g.Add(
func() error {
level.Info(logger).Log("msg", "Starting TSDB ...")
if cfg.tsdb.WALSegmentSize != 0 {
if cfg.tsdb.WALSegmentSize < 1010241024 || cfg.tsdb.WALSegmentSize > 25610241024 {
return errors.New("flag 'storage.tsdb.wal-segment-size' must be set between 10MB and 256MB")
}
}
if cfg.tsdb.MaxBlockChunkSegmentSize != 0 {
if cfg.tsdb.MaxBlockChunkSegmentSize < 1024*1024 {
return errors.New("flag 'storage.tsdb.max-block-chunk-segment-size' must be set over 1MB")
}
}
db, err := openDBWithMetrics(
cfg.localStoragePath,
logger,
prometheus.DefaultRegisterer,
&opts,
)

if err != nil {
return errors.Wrapf(err, "opening storage failed")
}

switch fsType := prom_runtime.Statfs(cfg.localStoragePath); fsType {
case "NFS_SUPER_MAGIC":
level.Warn(logger).Log("fs_type", fsType, "msg", "This filesystem is not supported and may lead to data corruption and data loss. Please carefully read https://prometheus.io/docs/prometheus/latest/storage/ to learn more about supported filesystems.")
default:
level.Info(logger).Log("fs_type", fsType)
}

level.Info(logger).Log("msg", "TSDB started")
level.Debug(logger).Log("msg", "TSDB options",
"MinBlockDuration", cfg.tsdb.MinBlockDuration,
"MaxBlockDuration", cfg.tsdb.MaxBlockDuration,
"MaxBytes", cfg.tsdb.MaxBytes,
"NoLockfile", cfg.tsdb.NoLockfile,
"RetentionDuration", cfg.tsdb.RetentionDuration,
"WALSegmentSize", cfg.tsdb.WALSegmentSize,
"AllowOverlappingBlocks", cfg.tsdb.AllowOverlappingBlocks,
"WALCompression", cfg.tsdb.WALCompression,
)

startTimeMargin := int64(2 * time.Duration(cfg.tsdb.MinBlockDuration).Seconds() * 1000)
localStorage.Set(db, startTimeMargin)
time.Sleep(time.Duration(10)*time.Second)
close(dbOpen)
<-cancel
return nil
},
func(err error) {
if err := fanoutStorage.Close(); err != nil {
level.Error(logger).Log("msg", "Error stopping storage", "err", err)
}
close(cancel)
},
)

9、webHandler组件启动,prometheus可以接收http请求:

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g.Add(
func() error {
if err := webHandler.Run(ctxWeb, listener, *webConfig); err != nil {
return errors.Wrapf(err, "error starting web server")
}
return nil
},
func(err error) {
cancelWeb()
},
)

10、notifierManager组件启动,将告警数据发送给AlertManager服务:

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g.Add(
func() error {
// When the notifier manager receives a new targets list
// it needs to read a valid config for each job.
// It depends on the config being in sync with the discovery manager
// so we wait until the config is fully loaded.
<-reloadReady.C
notifierManager.Run(discoveryManagerNotify.SyncCh())
level.Info(logger).Log("msg", "Notifier manager stopped")
return nil
},
func(err error) {
notifierManager.Stop()
},
)

总结

上面分析的Prometheus启动流程中最为关键的是:通过oklog/run的协程编排工具启动10个协程组件,每个协程组件都有各自功能(见下图):

大致说明:

1、绿色框代表的就是oklog/run工具管理启动的10个启动组件;

2、优雅退出组件:主要用于监听系统发出的kill和Ctrl+C信号,用于Prometheus优雅退出;

3、discoveryManagerScrape和discoveryManagerNotify这两个是服务发现组件,分别用于发现targets和alertmanager服务,通过通道传递给scrapeManager和notifierManager组件,scrapeManager组件拿到targets开始抓取监控指标,notifierManager拿到alertmanager服务发送告警数据;

4、配置加载组件:主要用于加载prometheus.yml配置并初始化到Config结构体中,然后遍历执行reloader,将解析的配置数据Config传递给相关组件进行处理,reloader信息见前面分析的ApplyConfig一节

5、配置加载完成后会向reloadReady.C通道发送信号,scrapeManager组件、配置动态加载组件、ruleManager组件和notifierManager这四个组件会监听该信号才能执行,即这四个组件依赖配置加载完成,reloader执行完成;

6、TSDB组件:主要用于scrapeManager抓取的监控指标存储时序数据库;

7、webHandler组件:prometheus启动http服务器,这样可以查询到prometheus相关数据,如执行promql语句;

8、动态配置加载:该组件主要在配置加载完成后启动监听kill -HUPcurl -XPOST http://ip:port/-/reload信号,动态重新加载prometheus.yml配置文件;

9、ruleManager组件:ruleManager组件主要用于rule规则文件计算,包括record rule和alert rule规则文件。