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Add grpc prometheus metrics

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This provideds generic grpc metrics via prometheus

Signed-off-by: Michael Crosby <crosbymichael@gmail.com>
This commit is contained in:
Michael Crosby 2017-03-14 16:16:49 -07:00
parent a85c28d248
commit f9212348e4
11 changed files with 921 additions and 2 deletions
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1
cmd/containerd/builtins.go
View file

@ -6,6 +6,7 @@ import (
_ "github.com/docker/containerd/services/content"
_ "github.com/docker/containerd/services/execution"
_ "github.com/docker/containerd/services/healthcheck"
_ "github.com/docker/containerd/services/metrics"
_ "github.com/docker/containerd/snapshot/btrfs"
_ "github.com/docker/containerd/snapshot/overlay"
)

8
cmd/containerd/main.go
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@ -11,6 +11,7 @@ import (
"syscall"
"time"
grpc_prometheus "github.com/grpc-ecosystem/go-grpc-prometheus"
gocontext "golang.org/x/net/context"
"google.golang.org/grpc"
@ -296,7 +297,10 @@ func loadSnapshotter(store *content.Store) (snapshot.Snapshotter, error) {
}
func newGRPCServer() *grpc.Server {
s := grpc.NewServer(grpc.UnaryInterceptor(interceptor))
s := grpc.NewServer(
grpc.UnaryInterceptor(interceptor),
grpc.StreamInterceptor(grpc_prometheus.StreamServerInterceptor),
)
return s
}
@ -365,7 +369,7 @@ func interceptor(ctx gocontext.Context,
default:
fmt.Printf("unknown GRPC server type: %#v\n", info.Server)
}
return handler(ctx, req)
return grpc_prometheus.UnaryServerInterceptor(ctx, req, info, handler)
}
func handleSignals(signals chan os.Signal, server *grpc.Server) error {

26
services/metrics/metrics.go Normal file
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@ -0,0 +1,26 @@
package metrics
import (
"github.com/docker/containerd/plugin"
grpc_prometheus "github.com/grpc-ecosystem/go-grpc-prometheus"
"google.golang.org/grpc"
)
func init() {
plugin.Register("metrics-grpc", &plugin.Registration{
Type: plugin.GRPCPlugin,
Init: New,
})
}
func New(_ *plugin.InitContext) (interface{}, error) {
return &Service{}, nil
}
type Service struct {
}
func (s *Service) Register(server *grpc.Server) error {
grpc_prometheus.Register(server)
return nil
}

1
vendor.conf
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@ -30,3 +30,4 @@ github.com/opencontainers/image-spec a431dbcf6a74fca2e0e040b819a836dbe3fb23ca
github.com/stevvooe/continuity 1530f13d23b34e2ccaf33881fefecc7e28e3577b
golang.org/x/sync 450f422ab23cf9881c94e2db30cac0eb1b7cf80c
github.com/BurntSushi/toml v0.2.0-21-g9906417
github.com/grpc-ecosystem/go-grpc-prometheus 6b7015e65d366bf3f19b2b2a000a831940f0f7e0

201
vendor/github.com/grpc-ecosystem/go-grpc-prometheus/LICENSE generated vendored Normal file
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@ -0,0 +1,201 @@
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vendor/github.com/grpc-ecosystem/go-grpc-prometheus/README.md generated vendored Normal file
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@ -0,0 +1,245 @@
# Go gRPC Interceptors for Prometheus monitoring
[![Travis Build](https://travis-ci.org/grpc-ecosystem/go-grpc-prometheus.svg)](https://travis-ci.org/grpc-ecosystem/go-grpc-prometheus)
[![Go Report Card](https://goreportcard.com/badge/github.com/grpc-ecosystem/go-grpc-prometheus)](http://goreportcard.com/report/grpc-ecosystem/go-grpc-prometheus)
[![GoDoc](http://img.shields.io/badge/GoDoc-Reference-blue.svg)](https://godoc.org/github.com/grpc-ecosystem/go-grpc-prometheus)
[![Apache 2.0 License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE)
[Prometheus](https://prometheus.io/) monitoring for your [gRPC Go](https://github.com/grpc/grpc-go) servers and clients.
A sister implementation for [gRPC Java](https://github.com/grpc/grpc-java) (same metrics, same semantics) is in [grpc-ecosystem/java-grpc-prometheus](https://github.com/grpc-ecosystem/java-grpc-prometheus).
## Interceptors
[gRPC Go](https://github.com/grpc/grpc-go) recently acquired support for Interceptors, i.e. middleware that is executed
by a gRPC Server before the request is passed onto the user's application logic. It is a perfect way to implement
common patterns: auth, logging and... monitoring.
To use Interceptors in chains, please see [`go-grpc-middleware`](https://github.com/mwitkow/go-grpc-middleware).
## Usage
There are two types of interceptors: client-side and server-side. This package provides monitoring Interceptors for both.
### Server-side
```go
import "github.com/grpc-ecosystem/go-grpc-prometheus"
...
// Initialize your gRPC server's interceptor.
myServer := grpc.NewServer(
grpc.StreamInterceptor(grpc_prometheus.StreamServerInterceptor),
grpc.UnaryInterceptor(grpc_prometheus.UnaryServerInterceptor),
)
// Register your gRPC service implementations.
myservice.RegisterMyServiceServer(s.server, &myServiceImpl{})
// After all your registrations, make sure all of the Prometheus metrics are initialized.
grpc_prometheus.Register(myServer)
// Register Prometheus metrics handler.
http.Handle("/metrics", prometheus.Handler())
...
```
### Client-side
```go
import "github.com/grpc-ecosystem/go-grpc-prometheus"
...
clientConn, err = grpc.Dial(
address,
grpc.WithUnaryInterceptor(UnaryClientInterceptor),
grpc.WithStreamInterceptor(StreamClientInterceptor)
)
client = pb_testproto.NewTestServiceClient(clientConn)
resp, err := client.PingEmpty(s.ctx, &myservice.Request{Msg: "hello"})
...
```
# Metrics
## Labels
All server-side metrics start with `grpc_server` as Prometheus subsystem name. All client-side metrics start with `grpc_client`. Both of them have mirror-concepts. Similarly all methods
contain the same rich labels:
* `grpc_service` - the [gRPC service](http://www.grpc.io/docs/#defining-a-service) name, which is the combination of protobuf `package` and
the `grpc_service` section name. E.g. for `package = mwitkow.testproto` and
`service TestService` the label will be `grpc_service="mwitkow.testproto.TestService"`
* `grpc_method` - the name of the method called on the gRPC service. E.g.
`grpc_method="Ping"`
* `grpc_type` - the gRPC [type of request](http://www.grpc.io/docs/guides/concepts.html#rpc-life-cycle).
Differentiating between the two is important especially for latency measurements.
- `unary` is single request, single response RPC
- `client_stream` is a multi-request, single response RPC
- `server_stream` is a single request, multi-response RPC
- `bidi_stream` is a multi-request, multi-response RPC
Additionally for completed RPCs, the following labels are used:
* `grpc_code` - the human-readable [gRPC status code](https://github.com/grpc/grpc-go/blob/master/codes/codes.go).
The list of all statuses is to long, but here are some common ones:
- `OK` - means the RPC was successful
- `IllegalArgument` - RPC contained bad values
- `Internal` - server-side error not disclosed to the clients
## Counters
The counters and their up to date documentation is in [server_reporter.go](server_reporter.go) and [client_reporter.go](client_reporter.go)
the respective Prometheus handler (usually `/metrics`).
For the purpose of this documentation we will only discuss `grpc_server` metrics. The `grpc_client` ones contain mirror concepts.
For simplicity, let's assume we're tracking a single server-side RPC call of [`mwitkow.testproto.TestService`](examples/testproto/test.proto),
calling the method `PingList`. The call succeeds and returns 20 messages in the stream.
First, immediately after the server receives the call it will increment the
`grpc_server_started_total` and start the handling time clock (if histograms are enabled).
```jsoniq
grpc_server_started_total{grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
Then the user logic gets invoked. It receives one message from the client containing the request
(it's a `server_stream`):
```jsoniq
grpc_server_msg_received_total{grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
The user logic may return an error, or send multiple messages back to the client. In this case, on
each of the 20 messages sent back, a counter will be incremented:
```jsoniq
grpc_server_msg_sent_total{grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 20
```
After the call completes, it's status (`OK` or other [gRPC status code](https://github.com/grpc/grpc-go/blob/master/codes/codes.go))
and the relevant call labels increment the `grpc_server_handled_total` counter.
```jsoniq
grpc_server_handled_total{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
## Histograms
[Prometheus histograms](https://prometheus.io/docs/concepts/metric_types/#histogram) are a great way
to measure latency distributions of your RPCs. However since it is bad practice to have metrics
of [high cardinality](https://prometheus.io/docs/practices/instrumentation/#do-not-overuse-labels))
the latency monitoring metrics are disabled by default. To enable them please call the following
in your server initialization code:
```jsoniq
grpc_prometheus.EnableHandlingTimeHistogram()
```
After the call completes, it's handling time will be recorded in a [Prometheus histogram](https://prometheus.io/docs/concepts/metric_types/#histogram)
variable `grpc_server_handling_seconds`. It contains three sub-metrics:
* `grpc_server_handling_seconds_count` - the count of all completed RPCs by status and method
* `grpc_server_handling_seconds_sum` - cumulative time of RPCs by status and method, useful for
calculating average handling times
* `grpc_server_handling_seconds_bucket` - contains the counts of RPCs by status and method in respective
handling-time buckets. These buckets can be used by Prometheus to estimate SLAs (see [here](https://prometheus.io/docs/practices/histograms/))
The counter values will look as follows:
```jsoniq
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.005"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.01"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.025"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.05"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.1"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.25"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.5"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="1"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="2.5"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="5"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="10"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="+Inf"} 1
grpc_server_handling_seconds_sum{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 0.0003866430000000001
grpc_server_handling_seconds_count{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
## Useful query examples
Prometheus philosophy is to provide the most detailed metrics possible to the monitoring system, and
let the aggregations be handled there. The verbosity of above metrics make it possible to have that
flexibility. Here's a couple of useful monitoring queries:
### request inbound rate
```jsoniq
sum(rate(grpc_server_started_total{job="foo"}[1m])) by (grpc_service)
```
For `job="foo"` (common label to differentiate between Prometheus monitoring targets), calculate the
rate of requests per second (1 minute window) for each gRPC `grpc_service` that the job has. Please note
how the `grpc_method` is being omitted here: all methods of a given gRPC service will be summed together.
### unary request error rate
```jsoniq
sum(rate(grpc_server_handled_total{job="foo",grpc_type="unary",grpc_code!="OK"}[1m])) by (grpc_service)
```
For `job="foo"`, calculate the per-`grpc_service` rate of `unary` (1:1) RPCs that failed, i.e. the
ones that didn't finish with `OK` code.
### unary request error percentage
```jsoniq
sum(rate(grpc_server_handled_total{job="foo",grpc_type="unary",grpc_code!="OK"}[1m])) by (grpc_service)
/
sum(rate(grpc_server_started_total{job="foo",grpc_type="unary"}[1m])) by (grpc_service)
* 100.0
```
For `job="foo"`, calculate the percentage of failed requests by service. It's easy to notice that
this is a combination of the two above examples. This is an example of a query you would like to
[alert on](https://prometheus.io/docs/alerting/rules/) in your system for SLA violations, e.g.
"no more than 1% requests should fail".
### average response stream size
```jsoniq
sum(rate(grpc_server_msg_sent_total{job="foo",grpc_type="server_stream"}[10m])) by (grpc_service)
/
sum(rate(grpc_server_started_total{job="foo",grpc_type="server_stream"}[10m])) by (grpc_service)
```
For `job="foo"` what is the `grpc_service`-wide `10m` average of messages returned for all `
server_stream` RPCs. This allows you to track the stream sizes returned by your system, e.g. allows
you to track when clients started to send "wide" queries that ret
Note the divisor is the number of started RPCs, in order to account for in-flight requests.
### 99%-tile latency of unary requests
```jsoniq
histogram_quantile(0.99,
sum(rate(grpc_server_handling_seconds_bucket{job="foo",grpc_type="unary"}[5m])) by (grpc_service,le)
)
```
For `job="foo"`, returns an 99%-tile [quantile estimation](https://prometheus.io/docs/practices/histograms/#quantiles)
of the handling time of RPCs per service. Please note the `5m` rate, this means that the quantile
estimation will take samples in a rolling `5m` window. When combined with other quantiles
(e.g. 50%, 90%), this query gives you tremendous insight into the responsiveness of your system
(e.g. impact of caching).
### percentage of slow unary queries (>250ms)
```jsoniq
100.0 - (
sum(rate(grpc_server_handling_seconds_bucket{job="foo",grpc_type="unary",le="0.25"}[5m])) by (grpc_service)
/
sum(rate(grpc_server_handling_seconds_count{job="foo",grpc_type="unary"}[5m])) by (grpc_service)
) * 100.0
```
For `job="foo"` calculate the by-`grpc_service` fraction of slow requests that took longer than `0.25`
seconds. This query is relatively complex, since the Prometheus aggregations use `le` (less or equal)
buckets, meaning that counting "fast" requests fractions is easier. However, simple maths helps.
This is an example of a query you would like to alert on in your system for SLA violations,
e.g. "less than 1% of requests are slower than 250ms".
## Status
This code has been used since August 2015 as the basis for monitoring of *production* gRPC micro services at [Improbable](https://improbable.io).
## License
`go-grpc-prometheus` is released under the Apache 2.0 license. See the [LICENSE](LICENSE) file for details.

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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
// gRPC Prometheus monitoring interceptors for client-side gRPC.
package grpc_prometheus
import (
"io"
"golang.org/x/net/context"
"google.golang.org/grpc"
"google.golang.org/grpc/codes"
)
// UnaryClientInterceptor is a gRPC client-side interceptor that provides Prometheus monitoring for Unary RPCs.
func UnaryClientInterceptor(ctx context.Context, method string, req, reply interface{}, cc *grpc.ClientConn, invoker grpc.UnaryInvoker, opts ...grpc.CallOption) error {
monitor := newClientReporter(Unary, method)
monitor.SentMessage()
err := invoker(ctx, method, req, reply, cc, opts...)
if err != nil {
monitor.ReceivedMessage()
}
monitor.Handled(grpc.Code(err))
return err
}
// StreamServerInterceptor is a gRPC client-side interceptor that provides Prometheus monitoring for Streaming RPCs.
func StreamClientInterceptor(ctx context.Context, desc *grpc.StreamDesc, cc *grpc.ClientConn, method string, streamer grpc.Streamer, opts ...grpc.CallOption) (grpc.ClientStream, error) {
monitor := newClientReporter(clientStreamType(desc), method)
clientStream, err := streamer(ctx, desc, cc, method, opts...)
if err != nil {
monitor.Handled(grpc.Code(err))
return nil, err
}
return &monitoredClientStream{clientStream, monitor}, nil
}
func clientStreamType(desc *grpc.StreamDesc) grpcType {
if desc.ClientStreams && !desc.ServerStreams {
return ClientStream
} else if !desc.ClientStreams && desc.ServerStreams {
return ServerStream
}
return BidiStream
}
// monitoredClientStream wraps grpc.ClientStream allowing each Sent/Recv of message to increment counters.
type monitoredClientStream struct {
grpc.ClientStream
monitor *clientReporter
}
func (s *monitoredClientStream) SendMsg(m interface{}) error {
err := s.ClientStream.SendMsg(m)
if err == nil {
s.monitor.SentMessage()
}
return err
}
func (s *monitoredClientStream) RecvMsg(m interface{}) error {
err := s.ClientStream.RecvMsg(m)
if err == nil {
s.monitor.ReceivedMessage()
} else if err == io.EOF {
s.monitor.Handled(codes.OK)
} else {
s.monitor.Handled(grpc.Code(err))
}
return err
}

111
vendor/github.com/grpc-ecosystem/go-grpc-prometheus/client_reporter.go generated vendored Normal file
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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
package grpc_prometheus
import (
"time"
"google.golang.org/grpc/codes"
prom "github.com/prometheus/client_golang/prometheus"
)
var (
clientStartedCounter = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "client",
Name: "started_total",
Help: "Total number of RPCs started on the client.",
}, []string{"grpc_type", "grpc_service", "grpc_method"})
clientHandledCounter = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "client",
Name: "handled_total",
Help: "Total number of RPCs completed by the client, regardless of success or failure.",
}, []string{"grpc_type", "grpc_service", "grpc_method", "grpc_code"})
clientStreamMsgReceived = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "client",
Name: "msg_received_total",
Help: "Total number of RPC stream messages received by the client.",
}, []string{"grpc_type", "grpc_service", "grpc_method"})
clientStreamMsgSent = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "client",
Name: "msg_sent_total",
Help: "Total number of gRPC stream messages sent by the client.",
}, []string{"grpc_type", "grpc_service", "grpc_method"})
clientHandledHistogramEnabled = false
clientHandledHistogramOpts = prom.HistogramOpts{
Namespace: "grpc",
Subsystem: "client",
Name: "handling_seconds",
Help: "Histogram of response latency (seconds) of the gRPC until it is finished by the application.",
Buckets: prom.DefBuckets,
}
clientHandledHistogram *prom.HistogramVec
)
func init() {
prom.MustRegister(clientStartedCounter)
prom.MustRegister(clientHandledCounter)
prom.MustRegister(clientStreamMsgReceived)
prom.MustRegister(clientStreamMsgSent)
}
// EnableClientHandlingTimeHistogram turns on recording of handling time of RPCs.
// Histogram metrics can be very expensive for Prometheus to retain and query.
func EnableClientHandlingTimeHistogram(opts ...HistogramOption) {
for _, o := range opts {
o(&clientHandledHistogramOpts)
}
if !clientHandledHistogramEnabled {
clientHandledHistogram = prom.NewHistogramVec(
clientHandledHistogramOpts,
[]string{"grpc_type", "grpc_service", "grpc_method"},
)
prom.Register(clientHandledHistogram)
}
clientHandledHistogramEnabled = true
}
type clientReporter struct {
rpcType grpcType
serviceName string
methodName string
startTime time.Time
}
func newClientReporter(rpcType grpcType, fullMethod string) *clientReporter {
r := &clientReporter{rpcType: rpcType}
if clientHandledHistogramEnabled {
r.startTime = time.Now()
}
r.serviceName, r.methodName = splitMethodName(fullMethod)
clientStartedCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
return r
}
func (r *clientReporter) ReceivedMessage() {
clientStreamMsgReceived.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *clientReporter) SentMessage() {
clientStreamMsgSent.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *clientReporter) Handled(code codes.Code) {
clientHandledCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName, code.String()).Inc()
if clientHandledHistogramEnabled {
clientHandledHistogram.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Observe(time.Since(r.startTime).Seconds())
}
}

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vendor/github.com/grpc-ecosystem/go-grpc-prometheus/server.go generated vendored Normal file
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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
// gRPC Prometheus monitoring interceptors for server-side gRPC.
package grpc_prometheus
import (
"golang.org/x/net/context"
"google.golang.org/grpc"
)
// PreregisterServices takes a gRPC server and pre-initializes all counters to 0.
// This allows for easier monitoring in Prometheus (no missing metrics), and should be called *after* all services have
// been registered with the server.
func Register(server *grpc.Server) {
serviceInfo := server.GetServiceInfo()
for serviceName, info := range serviceInfo {
for _, mInfo := range info.Methods {
preRegisterMethod(serviceName, &mInfo)
}
}
}
// UnaryServerInterceptor is a gRPC server-side interceptor that provides Prometheus monitoring for Unary RPCs.
func UnaryServerInterceptor(ctx context.Context, req interface{}, info *grpc.UnaryServerInfo, handler grpc.UnaryHandler) (interface{}, error) {
monitor := newServerReporter(Unary, info.FullMethod)
monitor.ReceivedMessage()
resp, err := handler(ctx, req)
monitor.Handled(grpc.Code(err))
if err == nil {
monitor.SentMessage()
}
return resp, err
}
// StreamServerInterceptor is a gRPC server-side interceptor that provides Prometheus monitoring for Streaming RPCs.
func StreamServerInterceptor(srv interface{}, ss grpc.ServerStream, info *grpc.StreamServerInfo, handler grpc.StreamHandler) error {
monitor := newServerReporter(streamRpcType(info), info.FullMethod)
err := handler(srv, &monitoredServerStream{ss, monitor})
monitor.Handled(grpc.Code(err))
return err
}
func streamRpcType(info *grpc.StreamServerInfo) grpcType {
if info.IsClientStream && !info.IsServerStream {
return ClientStream
} else if !info.IsClientStream && info.IsServerStream {
return ServerStream
}
return BidiStream
}
// monitoredStream wraps grpc.ServerStream allowing each Sent/Recv of message to increment counters.
type monitoredServerStream struct {
grpc.ServerStream
monitor *serverReporter
}
func (s *monitoredServerStream) SendMsg(m interface{}) error {
err := s.ServerStream.SendMsg(m)
if err == nil {
s.monitor.SentMessage()
}
return err
}
func (s *monitoredServerStream) RecvMsg(m interface{}) error {
err := s.ServerStream.RecvMsg(m)
if err == nil {
s.monitor.ReceivedMessage()
}
return err
}

157
vendor/github.com/grpc-ecosystem/go-grpc-prometheus/server_reporter.go generated vendored Normal file
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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
package grpc_prometheus
import (
"time"
"google.golang.org/grpc/codes"
prom "github.com/prometheus/client_golang/prometheus"
"google.golang.org/grpc"
)
type grpcType string
const (
Unary grpcType = "unary"
ClientStream grpcType = "client_stream"
ServerStream grpcType = "server_stream"
BidiStream grpcType = "bidi_stream"
)
var (
serverStartedCounter = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "server",
Name: "started_total",
Help: "Total number of RPCs started on the server.",
}, []string{"grpc_type", "grpc_service", "grpc_method"})
serverHandledCounter = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "server",
Name: "handled_total",
Help: "Total number of RPCs completed on the server, regardless of success or failure.",
}, []string{"grpc_type", "grpc_service", "grpc_method", "grpc_code"})
serverStreamMsgReceived = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "server",
Name: "msg_received_total",
Help: "Total number of RPC stream messages received on the server.",
}, []string{"grpc_type", "grpc_service", "grpc_method"})
serverStreamMsgSent = prom.NewCounterVec(
prom.CounterOpts{
Namespace: "grpc",
Subsystem: "server",
Name: "msg_sent_total",
Help: "Total number of gRPC stream messages sent by the server.",
}, []string{"grpc_type", "grpc_service", "grpc_method"})
serverHandledHistogramEnabled = false
serverHandledHistogramOpts = prom.HistogramOpts{
Namespace: "grpc",
Subsystem: "server",
Name: "handling_seconds",
Help: "Histogram of response latency (seconds) of gRPC that had been application-level handled by the server.",
Buckets: prom.DefBuckets,
}
serverHandledHistogram *prom.HistogramVec
)
func init() {
prom.MustRegister(serverStartedCounter)
prom.MustRegister(serverHandledCounter)
prom.MustRegister(serverStreamMsgReceived)
prom.MustRegister(serverStreamMsgSent)
}
type HistogramOption func(*prom.HistogramOpts)
// WithHistogramBuckets allows you to specify custom bucket ranges for histograms if EnableHandlingTimeHistogram is on.
func WithHistogramBuckets(buckets []float64) HistogramOption {
return func(o *prom.HistogramOpts) { o.Buckets = buckets }
}
// EnableHandlingTimeHistogram turns on recording of handling time of RPCs for server-side interceptors.
// Histogram metrics can be very expensive for Prometheus to retain and query.
func EnableHandlingTimeHistogram(opts ...HistogramOption) {
for _, o := range opts {
o(&serverHandledHistogramOpts)
}
if !serverHandledHistogramEnabled {
serverHandledHistogram = prom.NewHistogramVec(
serverHandledHistogramOpts,
[]string{"grpc_type", "grpc_service", "grpc_method"},
)
prom.Register(serverHandledHistogram)
}
serverHandledHistogramEnabled = true
}
type serverReporter struct {
rpcType grpcType
serviceName string
methodName string
startTime time.Time
}
func newServerReporter(rpcType grpcType, fullMethod string) *serverReporter {
r := &serverReporter{rpcType: rpcType}
if serverHandledHistogramEnabled {
r.startTime = time.Now()
}
r.serviceName, r.methodName = splitMethodName(fullMethod)
serverStartedCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
return r
}
func (r *serverReporter) ReceivedMessage() {
serverStreamMsgReceived.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *serverReporter) SentMessage() {
serverStreamMsgSent.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *serverReporter) Handled(code codes.Code) {
serverHandledCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName, code.String()).Inc()
if serverHandledHistogramEnabled {
serverHandledHistogram.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Observe(time.Since(r.startTime).Seconds())
}
}
// preRegisterMethod is invoked on Register of a Server, allowing all gRPC services labels to be pre-populated.
func preRegisterMethod(serviceName string, mInfo *grpc.MethodInfo) {
methodName := mInfo.Name
methodType := string(typeFromMethodInfo(mInfo))
// These are just references (no increments), as just referencing will create the labels but not set values.
serverStartedCounter.GetMetricWithLabelValues(methodType, serviceName, methodName)
serverStreamMsgReceived.GetMetricWithLabelValues(methodType, serviceName, methodName)
serverStreamMsgSent.GetMetricWithLabelValues(methodType, serviceName, methodName)
if serverHandledHistogramEnabled {
serverHandledHistogram.GetMetricWithLabelValues(methodType, serviceName, methodName)
}
for _, code := range allCodes {
serverHandledCounter.GetMetricWithLabelValues(methodType, serviceName, methodName, code.String())
}
}
func typeFromMethodInfo(mInfo *grpc.MethodInfo) grpcType {
if mInfo.IsClientStream == false && mInfo.IsServerStream == false {
return Unary
}
if mInfo.IsClientStream == true && mInfo.IsServerStream == false {
return ClientStream
}
if mInfo.IsClientStream == false && mInfo.IsServerStream == true {
return ServerStream
}
return BidiStream
}

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vendor/github.com/grpc-ecosystem/go-grpc-prometheus/util.go generated vendored Normal file
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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
package grpc_prometheus
import (
"strings"
"google.golang.org/grpc/codes"
)
var (
allCodes = []codes.Code{
codes.OK, codes.Canceled, codes.Unknown, codes.InvalidArgument, codes.DeadlineExceeded, codes.NotFound,
codes.AlreadyExists, codes.PermissionDenied, codes.Unauthenticated, codes.ResourceExhausted,
codes.FailedPrecondition, codes.Aborted, codes.OutOfRange, codes.Unimplemented, codes.Internal,
codes.Unavailable, codes.DataLoss,
}
)
func splitMethodName(fullMethodName string) (string, string) {
fullMethodName = strings.TrimPrefix(fullMethodName, "/") // remove leading slash
if i := strings.Index(fullMethodName, "/"); i >= 0 {
return fullMethodName[:i], fullMethodName[i+1:]
}
return "unknown", "unknown"
}