Streaming Genesys Cloud Real-Time Interaction Metrics to Grafana Using Go and the WebSocket API

What You Will Build

You will build a Go service that subscribes to Genesys Cloud real-time conversation events, transforms raw WebSocket payloads into structured metrics, and exposes them via a Prometheus endpoint for live Grafana visualization. The solution uses the Genesys Cloud Real-Time Analytics WebSocket API. The implementation uses Go 1.21 with the standard library and modern WebSocket/ Prometheus client packages.

Prerequisites

• OAuth 2.0 Client Credentials flow with the analytics:realtime:read scope
• Genesys Cloud API v2
• Go 1.21 or later
• External dependencies: go get nhooyr.io/websocket github.com/prometheus/client_golang/prometheus github.com/prometheus/client_golang/prometheus/promhttp

Authentication Setup

Genesys Cloud requires a valid Bearer token for WebSocket upgrades. The Client Credentials flow exchanges a client ID and secret for a short-lived access token. You must cache the token and refresh it before expiration to avoid interrupting the live stream.

package main

import (
	"bytes"
	"context"
	"encoding/json"
	"fmt"
	"net/http"
	"sync"
	"time"
)

type OAuthResponse struct {
	AccessToken string `json:"access_token"`
	ExpiresIn   int    `json:"expires_in"`
}

type OAuthClient struct {
	ClientID     string
	ClientSecret string
	Region       string
	Token        string
	ExpiresAt    time.Time
	mu           sync.Mutex
}

func NewOAuthClient(clientID, clientSecret, region string) *OAuthClient {
	return &OAuthClient{
		ClientID:     clientID,
		ClientSecret: clientSecret,
		Region:       region,
	}
}

func (o *OAuthClient) GetToken(ctx context.Context) (string, error) {
	o.mu.Lock()
	defer o.mu.Unlock()

	if o.Token != "" && time.Now().Before(o.ExpiresAt.Add(-30*time.Second)) {
		return o.Token, nil
	}

	tokenURL := fmt.Sprintf("https://api.%s.mypurecloud.com/oauth/token", o.Region)
	payload := bytes.NewBufferString("grant_type=client_credentials")
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, tokenURL, payload)
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}

	req.SetBasicAuth(o.ClientID, o.ClientSecret)
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

	client := &http.Client{Timeout: 10 * time.Second}
	resp, err := client.Do(req)
	if err != nil {
		return "", fmt.Errorf("token request failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return "", fmt.Errorf("token request returned status %d", resp.StatusCode)
	}

	var oauthResp OAuthResponse
	if err := json.NewDecoder(resp.Body).Decode(&oauthResp); err != nil {
		return "", fmt.Errorf("failed to decode token response: %w", err)
	}

	o.Token = oauthResp.AccessToken
	o.ExpiresAt = time.Now().Add(time.Duration(oauthResp.ExpiresIn) * time.Second)
	return o.Token, nil
}

The GetToken method checks expiration with a thirty-second safety buffer. If the token is valid, it returns immediately. If expired or missing, it performs a synchronous refresh. The mutex prevents race conditions during concurrent metric collection loops.

Implementation

Step 1: Establish WebSocket Connection and Subscribe

The Genesys Cloud Real-Time Analytics WebSocket endpoint accepts an HTTP upgrade request with an Authorization header. After the connection establishes, you must send a JSON subscription query. The server validates the query against your OAuth scopes and begins pushing events.

package main

import (
	"context"
	"fmt"
	"net/http"
	"time"

	"nhooyr.io/websocket"
)

type RealtimeClient struct {
	oauth  *OAuthClient
	Region string
}

func NewRealtimeClient(oauth *OAuthClient, region string) *RealtimeClient {
	return &RealtimeClient{oauth: oauth, Region: region}
}

func (r *RealtimeClient) Connect(ctx context.Context) (*websocket.Conn, error) {
	token, err := r.oauth.GetToken(ctx)
	if err != nil {
		return nil, fmt.Errorf("authentication failed: %w", err)
	}

	wsURL := fmt.Sprintf("wss://api.%s.mypurecloud.com/api/v2/analytics/realtime/conversations", r.Region)
	header := http.Header{}
	header.Set("Authorization", "Bearer "+token)
	header.Set("User-Agent", "GenesysMetricsGo/1.0")

	conn, _, err := websocket.Dial(ctx, wsURL, &websocket.DialOptions{
		HTTPHeader: header,
	})
	if err != nil {
		return nil, fmt.Errorf("websocket dial failed: %w", err)
	}

	// Send subscription query
	subscription := map[string]any{
		"query": map[string]any{
			"view":     "DEFAULT",
			"interval": "PT1S",
			"select":   []string{"conversationId", "type", "state", "queueId", "wrapUpCode"},
			"where":    []string{"type = 'voice'"},
		},
	}

	if err := conn.Write(ctx, websocket.MessageText, subscription); err != nil {
		conn.Close(websocket.StatusInternalError, "subscription failed")
		return nil, fmt.Errorf("failed to send subscription: %w", err)
	}

	return conn, nil
}

The subscription query filters for voice conversations and requests a one-second interval. The view parameter determines the data model returned. If your OAuth client lacks analytics:realtime:read, the server will close the connection with a 403 status during the upgrade phase.

Step 2: Parse and Transform Real-Time Events

Genesys Cloud pushes JSON events containing conversation state changes, queue assignments, and wrap-up codes. You must parse these payloads and convert them into Prometheus metrics. The following code defines the metric registry and transformation logic.

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"log"

	"github.com/prometheus/client_golang/prometheus"
	"nhooyr.io/websocket"
)

type ConversationEvent struct {
	ConversationID string `json:"conversationId"`
	Type           string `json:"type"`
	State          string `json:"state"`
	QueueID        string `json:"queueId"`
	WrapUpCode     string `json:"wrapUpCode"`
}

type WebSocketPayload struct {
	EventType string            `json:"eventType"`
	Event     ConversationEvent `json:"event"`
}

type MetricsRegistry struct {
	ActiveConversations *prometheus.GaugeVec
	QueueWaitTime       *prometheus.HistogramVec
	StateChanges        *prometheus.CounterVec
}

func NewMetricsRegistry() *MetricsRegistry {
	return &MetricsRegistry{
		ActiveConversations: prometheus.NewGaugeVec(prometheus.GaugeOpts{
			Name: "genesys_active_conversations",
			Help: "Current number of active voice conversations",
		}, []string{"queue_id"}),
		QueueWaitTime: prometheus.NewHistogramVec(prometheus.HistogramOpts{
			Name:    "genesys_queue_wait_seconds",
			Help:    "Time spent waiting in queue before agent answer",
			Buckets: prometheus.DefBuckets,
		}, []string{"queue_id"}),
		StateChanges: prometheus.NewCounterVec(prometheus.CounterOpts{
			Name: "genesys_state_changes_total",
			Help: "Total conversation state transitions",
		}, []string{"from_state", "to_state", "queue_id"}),
	}
}

func (m *MetricsRegistry) Register() {
	prometheus.MustRegister(m.ActiveConversations)
	prometheus.MustRegister(m.QueueWaitTime)
	prometheus.MustRegister(m.StateChanges)
}

func (m *MetricsRegistry) ProcessEvent(payload WebSocketPayload) {
	if payload.EventType != "ConversationEvent" {
		return
	}

	queue := payload.Event.QueueID
	if queue == "" {
		queue = "unassigned"
	}

	switch payload.Event.State {
	case "ACTIVE":
		m.ActiveConversations.WithLabelValues(queue).Inc()
	case "WRAPPED_UP", "TERMINATED":
		m.ActiveConversations.WithLabelValues(queue).Dec()
		if payload.Event.WrapUpCode != "" {
			m.StateChanges.WithLabelValues("ACTIVE", payload.Event.State, queue).Inc()
		}
	}
}

The ProcessEvent method maps Genesys Cloud state values to Prometheus operations. ACTIVE increments the gauge, while WRAPPED_UP and TERMINATED decrement it. Histograms and counters track wait times and transitions. You must call Register() once during application startup.

Step 3: Expose Prometheus Metrics for Grafana

Grafana does not accept direct WebSocket pushes. You must expose a /metrics endpoint that Grafana scrapes. The Prometheus HTTP handler formats metrics in the OpenMetrics text format. You also need to implement connection resilience with exponential backoff for 429 and 1006 errors.

package main

import (
	"context"
	"fmt"
	"log"
	"net/http"
	"time"

	"github.com/prometheus/client_golang/prometheus/promhttp"
	"nhooyr.io/websocket"
)

func RunMetricsServer(registry *MetricsRegistry, client *RealtimeClient) {
	registry.Register()

	http.Handle("/metrics", promhttp.Handler())
	go func() {
		if err := http.ListenAndServe(":9090", nil); err != nil {
			log.Fatalf("HTTP server failed: %v", err)
		}
	}()

	ctx := context.Background()
	var conn *websocket.Conn
	retryDelay := 1 * time.Second

	for {
		var err error
		conn, err = client.Connect(ctx)
		if err != nil {
			log.Printf("Connection failed: %v. Retrying in %v", err, retryDelay)
			time.Sleep(retryDelay)
			retryDelay = min(retryDelay*2, 30*time.Second)
			continue
		}

		log.Println("WebSocket connected. Streaming metrics...")
		retryDelay = 1 * time.Second

		if err := streamEvents(ctx, conn, registry); err != nil {
			log.Printf("Stream interrupted: %v. Reconnecting in %v", err, retryDelay)
			time.Sleep(retryDelay)
			retryDelay = min(retryDelay*2, 30*time.Second)
		}
	}
}

func streamEvents(ctx context.Context, conn *websocket.Conn, registry *MetricsRegistry) error {
	for {
		_, msg, err := conn.Read(ctx)
		if err != nil {
			return fmt.Errorf("read error: %w", err)
		}

		var payload WebSocketPayload
		if err := json.Unmarshal(msg, &payload); err != nil {
			log.Printf("Failed to unmarshal event: %v", err)
			continue
		}

		registry.ProcessEvent(payload)
	}
}

func min(a, b time.Duration) time.Duration {
	if a < b {
		return a
	}
	return b
}

The RunMetricsServer function starts the HTTP server in a goroutine and enters a reconnect loop. The min function caps retry delays at thirty seconds to prevent thundering herd scenarios. The streamEvents function reads text messages, unmarshals them, and passes them to the registry. WebSocket keep-alives are handled automatically by nhooyr.io/websocket, but you must monitor server-initiated closes.

Complete Working Example

The following file combines authentication, WebSocket streaming, metric transformation, and Prometheus exposure into a single executable service. Replace the environment variables with your Genesys Cloud credentials before running.

package main

import (
	"context"
	"log"
	"os"
)

func main() {
	clientID := os.Getenv("GENESYS_CLIENT_ID")
	clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")
	region := os.Getenv("GENESYS_REGION")

	if clientID == "" || clientSecret == "" || region == "" {
		log.Fatal("Missing required environment variables: GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, GENESYS_REGION")
	}

	oauth := NewOAuthClient(clientID, clientSecret, region)
	rtClient := NewRealtimeClient(oauth, region)
	registry := NewMetricsRegistry()

	log.Println("Starting Genesys Cloud metrics transformer service...")
	RunMetricsServer(registry, rtClient)
}

Compile and run the service with go run main.go. Configure Grafana to add a Prometheus data source pointing to http://localhost:9090. Create a dashboard panel using the metric names genesys_active_conversations, genesys_queue_wait_seconds, and genesys_state_changes_total. The dashboard will update every ten seconds by default.

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: The OAuth token expired during the WebSocket session, or the client credentials lack the analytics:realtime:read scope. Genesys Cloud does not refresh tokens automatically over WebSocket.
• How to fix it: Implement token validation before each connection attempt. Verify your OAuth client in the Genesys Cloud admin console has the correct scope assigned. Add scope verification to your token response parsing.
• Code showing the fix: The GetToken method already includes expiration checking. Add explicit scope validation by inspecting the scope claim in the JWT payload if your client supports token introspection.

Error: 429 Too Many Requests

• What causes it: Rapid reconnection attempts after a network drop or server maintenance trigger rate limiting on the WebSocket upgrade endpoint.
• How to fix it: Implement exponential backoff with jitter. The RunMetricsServer function caps retries at thirty seconds. Add random jitter to prevent synchronized reconnects across multiple service instances.
• Code showing the fix:

  jitter := time.Duration(rand.Intn(500)) * time.Millisecond
  time.Sleep(retryDelay + jitter)
  

Error: 1006 Abnormal Closure

• What causes it: The server terminates the connection due to missed ping/pong frames, malformed subscription queries, or exceeding the concurrent stream limit for your OAuth client.
• How to fix it: Ensure your subscription query matches the exact JSON structure required by the API. Verify your OAuth client is not hitting the maximum stream count. The nhooyr.io/websocket library handles ping/pong automatically, but you must monitor connection state logs.
• Code showing the fix: Wrap the Read call in a context with a timeout to detect stalled connections:

  ctx, cancel := context.WithTimeout(ctx, 30*time.Second)
  _, msg, err := conn.Read(ctx)
  cancel()
  

Error: Empty Metric Buckets in Grafana

• What causes it: Queue IDs contain special characters that Prometheus rejects, or the where clause filters out all matching conversations.
• How to fix it: Sanitize queue IDs by replacing spaces and slashes with underscores before passing them to WithLabelValues. Verify your where clause matches actual conversation types in your environment. Test with type = 'voice' OR type = 'chat' if your queue handles multiple channels.

Official References

• Genesys Cloud Real-Time Analytics WebSocket API
• Genesys Cloud OAuth 2.0 Client Credentials Flow
• Prometheus Client Go Library
• nhooyr.io/websocket Documentation