微服务的可观测性大抵分为三大类:Metrics,Tracing 和 Logging。
Metrics 监控侧重于技术指标的收集与观测,如服务调用 QPS、响应工夫、错误率和资源使用率
Logging 侧重于运行日志的采集、存储与检索,通常应用ELK
Tracing 则偏差于调用链的串联、追踪与 APM 剖析,服务与服务之间的调用耗时等等,链路追踪。
一、对grpc服务进行监控
服务端
const ( serviceName = "simple_zipkin_server" zipkinAddr = "http://127.0.0.1:9411/api/v1/spans" zipkinRecorderAddr = "127.0.0.1:9000")/* 获取zipkin的tracer对象,并把tracer封装成ServerInterceptor注入到grpc.ServerOption中*/func NewZipkinTracer(opts []grpc.ServerOption) (opentracing.Tracer, []grpc.ServerOption, error) { collector, err := zipkin.NewHTTPCollector(zipkinAddr) if err != nil { log.Fatal(err.Error()) return nil, opts, err } recorder := zipkin.NewRecorder(collector, true, zipkinRecorderAddr, serviceName) tracer, err := zipkin.NewTracer(recorder, zipkin.ClientServerSameSpan(true), zipkin.TraceID128Bit(true)) if err != nil { log.Fatal(err.Error()) return nil, opts, err } opts = append(opts, grpc_middleware.WithUnaryServerChain( otgrpc.OpenTracingServerInterceptor(tracer, otgrpc.LogPayloads()), )) return tracer, opts, nil}func main() { //... go func() { //... var opts = []grpc.ServerOption{grpc.Creds(cred)} _, opts, err = NewZipkinTracer(opts) if err != nil { log.Fatal(err.Error()) return } rpcserver := grpc.NewServer(opts...) //... } //...}
客户端
const ( serviceName = "simple_zipkin_server" zipkinAddr = "http://127.0.0.1:9411/api/v1/spans" zipkinRecorderAddr = "127.0.0.1:9000")/* 获取zipkin的tracer对象,并把tracer封装成ClientInterceptor注入到grpc.DialOption中*/func NewZipkinTracer(opts []grpc.DialOption) (opentracing.Tracer, []grpc.DialOption, error) { collector, err := zipkin.NewHTTPCollector(zipkinAddr) if err != nil { log.Fatal(err.Error()) return nil, opts, err } recorder := zipkin.NewRecorder(collector, true, zipkinRecorderAddr, serviceName) tracer, err := zipkin.NewTracer(recorder, zipkin.ClientServerSameSpan(true), zipkin.TraceID128Bit(true)) if err != nil { log.Fatal(err.Error()) return nil, opts, err } opts = append(opts, grpc.WithUnaryInterceptor( otgrpc.OpenTracingClientInterceptor(tracer, otgrpc.LogPayloads()), )) return tracer, opts, nil}func main() { //... var opts = []grpc.DialOption{grpc.WithTransportCredentials(creds)} _, opts, err = NewZipkinTracer(opts) if err != nil { log.Fatal(err.Error()) return } conn, err := grpc.Dial(fmt.Sprintf("%v:%d", addr.Service.Address, addr.Service.Port), opts...) if err != nil { log.Fatal(err) } defer conn.Close() //...}
先后运行server.go和client.go,进行一次grpc的调用;
拜访http://localhost:9411/zipkin,抉择"serviceName"为"simple_zipkin_server"
二、对Gin框架的Web服务进行监控
var ( zkReporter reporter.Reporter zkTracer opentracing.Tracer)const ( serviceName = "zipkin_gin_server" serviceEndpoint = "localhost:8080" zipkinAddr = "http://127.0.0.1:9411/api/v2/spans")func initZipkinTracer(engine *gin.Engine) error { zkReporter = zkHttp.NewReporter(zipkinAddr) endpoint, err := zipkin.NewEndpoint(serviceName, serviceEndpoint) if err != nil { log.Fatalf("unable to create local endpoint: %+v\n", err) return err } nativeTracer, err := zipkin.NewTracer(zkReporter, zipkin.WithTraceID128Bit(true), zipkin.WithLocalEndpoint(endpoint)) if err != nil { log.Fatalf("unable to create tracer: %+v\n", err) return err } zkTracer = zkOt.Wrap(nativeTracer) opentracing.SetGlobalTracer(zkTracer) // 将tracer注入到gin的中间件中 engine.Use(func(c *gin.Context) { span := zkTracer.StartSpan(c.FullPath()) defer span.Finish() c.Next() }) return nil}func main() { engine := gin.Default() err := initZipkinTracer(engine) if err != nil { panic(err) } defer zkReporter.Close() engine.GET("/ping", func(c *gin.Context) { c.JSON(http.StatusOK, "pong") }) //... engine.Run(":8080")}
参考文章:
https://blog.csdn.net/feizaoS...