Batch Publish Genesys Cloud EventBridge Events with Go

What You Will Build

• A Go module that constructs, validates, and publishes batches of events to the Genesys Cloud EventBridge API using atomic HTTP POST requests.
• This implementation targets the POST /api/v2/platform/eventbridge/events endpoint with explicit batch payload construction and partial failure retry logic.
• The code covers OAuth 2.0 client credentials authentication, schema validation, rate limit handling, latency tracking, audit logging, and callback synchronization in a single production-ready package.

Prerequisites

• OAuth 2.0 Client Credentials grant configured in the Genesys Cloud admin console with the eventbridge:publish scope
• Genesys Cloud Platform API v2
• Go 1.21 or later
• github.com/google/uuid for deterministic deduplication ID generation
• Standard library packages: net/http, encoding/json, context, sync, time, log/slog, crypto/tls

Authentication Setup

Genesys Cloud uses a standard OAuth 2.0 client credentials flow. The token client caches the access token and refreshes it automatically when the expiry window approaches. Thread safety is enforced with a sync.RWMutex to prevent concurrent token requests during high-throughput batching.

package eventbridge

import (
	"bytes"
	"context"
	"crypto/tls"
	"encoding/json"
	"fmt"
	"log/slog"
	"net/http"
	"sync"
	"time"
)

const (
	AuthTokenURL   = "https://api.mypurecloud.com/oauth/token"
	EventBridgeURL = "https://api.mypurecloud.com/api/v2/platform/eventbridge/events"
	MaxBatchSize   = 10
	TokenRefreshBuffer = 30 * time.Second
)

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

type TokenClient struct {
	clientID     string
	clientSecret string
	token        string
	expiresAt    time.Time
	mu           sync.RWMutex
	httpClient   *http.Client
	logger       *slog.Logger
}

func NewTokenClient(clientID, clientSecret string) *TokenClient {
	return &TokenClient{
		clientID:     clientID,
		clientSecret: clientSecret,
		httpClient: &http.Client{
			Timeout: 10 * time.Second,
			Transport: &http.Transport{
				TLSClientConfig: &tls.Config{MinVersion: tls.VersionTLS12},
			},
		},
		logger: slog.Default(),
	}
}

func (tc *TokenClient) GetToken(ctx context.Context) (string, error) {
	tc.mu.RLock()
	if time.Until(tc.expiresAt) > TokenRefreshBuffer {
		token := tc.token
		tc.mu.RUnlock()
		return token, nil
	}
	tc.mu.RUnlock()

	tc.mu.Lock()
	defer tc.mu.Unlock()

	if time.Until(tc.expiresAt) > TokenRefreshBuffer {
		return tc.token, nil
	}

	payload := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s", tc.clientID, tc.clientSecret)
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, AuthTokenURL, bytes.NewBufferString(payload))
	if err != nil {
		return "", fmt.Errorf("token request creation failed: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

	resp, err := tc.httpClient.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 refresh failed with status %d", resp.StatusCode)
	}

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

	tc.token = tokenResp.AccessToken
	tc.expiresAt = time.Now().Add(time.Duration(tokenResp.ExpiresIn) * time.Second)
	tc.logger.Info("oauth token refreshed", "expires_in", tokenResp.ExpiresIn)
	return tc.token, nil
}

Implementation

Step 1: Batch Payload Construction and Deduplication ID Matrices

EventBridge requires each event to contain a unique deduplicationId within the same batch. The batcher constructs an array of events and validates that no duplicate IDs exist. The Event struct mirrors the Genesys Cloud EventBridge schema. The validation pipeline checks required fields, enforces the maximum batch size, and verifies deduplication ID uniqueness before serialization.

type Event struct {
	Source          string                 `json:"source"`
	DetailType      string                 `json:"detailType"`
	Detail          map[string]interface{} `json:"detail"`
	DeduplicationID string                 `json:"deduplicationId"`
	Time            time.Time              `json:"time"`
}

type BatchPayload struct {
	Entries []Event `json:"entries"`
}

func ValidateBatch(events []Event) error {
	if len(events) == 0 || len(events) > MaxBatchSize {
		return fmt.Errorf("batch size must be between 1 and %d, got %d", MaxBatchSize, len(events))
	}

	seen := make(map[string]struct{}, len(events))
	for i, e := range events {
		if e.Source == "" || e.DetailType == "" || e.Detail == nil || e.DeduplicationID == "" {
			return fmt.Errorf("event at index %d is missing required fields", i)
		}
		if _, exists := seen[e.DeduplicationID]; exists {
			return fmt.Errorf("duplicate deduplicationId found: %s", e.DeduplicationID)
		}
		seen[e.DeduplicationID] = struct{}{}
	}
	return nil
}

Step 2: Atomic POST Publication and Partial Failure Handling

The publication step uses an atomic HTTP POST to the EventBridge endpoint. The API returns a response containing lists of successful and failed event IDs. The batcher parses this response, logs failures, and automatically triggers a retry iteration for the failed subset. The fire-and-forget directive is implemented by offloading the publication to a background goroutine that accepts a context and returns immediately, allowing the caller to continue processing while the batcher handles retries and callbacks asynchronously.

type BatchResponse struct {
	Successful []string `json:"successful"`
	Failed     []struct {
		DeduplicationID string `json:"deduplicationId"`
		ErrorCode       string `json:"errorCode"`
		Message         string `json:"message"`
	} `json:"failed"`
}

type PublicationSummary struct {
	TotalPublished int
	TotalFailed    int
	Latency        time.Duration
	Timestamp      time.Time
}

type CallbackFn func(PublicationSummary)

func (tc *TokenClient) PublishBatch(ctx context.Context, events []Event, callback CallbackFn) {
	go func() {
		start := time.Now()
		remaining := make([]Event, len(events))
		copy(remaining, events)
		totalSuccess := 0
		totalFailed := 0

		for len(remaining) > 0 {
			token, err := tc.GetToken(ctx)
			if err != nil {
				tc.logger.Error("token acquisition failed", "error", err)
				break
			}

			payload := BatchPayload{Entries: remaining}
			body, err := json.Marshal(payload)
			if err != nil {
				tc.logger.Error("batch serialization failed", "error", err)
				break
			}

			req, err := http.NewRequestWithContext(ctx, http.MethodPost, EventBridgeURL, bytes.NewReader(body))
			if err != nil {
				tc.logger.Error("request creation failed", "error", err)
				break
			}
			req.Header.Set("Authorization", "Bearer "+token)
			req.Header.Set("Content-Type", "application/json")
			req.Header.Set("Accept", "application/json")

			resp, err := tc.httpClient.Do(req)
			if err != nil {
				tc.logger.Error("http request failed", "error", err)
				break
			}

			// Rate limit handling pipeline
			if resp.StatusCode == http.StatusTooManyRequests {
				retryAfter := 5
				if ra := resp.Header.Get("Retry-After"); ra != "" {
					fmt.Sscanf(ra, "%d", &retryAfter)
				}
				tc.logger.Warn("rate limited", "retry_after", retryAfter)
				time.Sleep(time.Duration(retryAfter) * time.Second)
				continue
			}

			if resp.StatusCode < 200 || resp.StatusCode >= 300 {
				tc.logger.Error("publication failed", "status", resp.StatusCode)
				break
			}

			var batchResp BatchResponse
			if err := json.NewDecoder(resp.Body).Decode(&batchResp); err != nil {
				tc.logger.Error("response decode failed", "error", err)
				resp.Body.Close()
				break
			}
			resp.Body.Close()

			totalSuccess += len(batchResp.Successful)
			totalFailed += len(batchResp.Failed)

			// Safe batch iteration for partial failures
			if len(batchResp.Failed) > 0 {
				tc.logger.Warn("partial batch failure detected", "failed_count", len(batchResp.Failed))
				remaining = make([]Event, 0, len(batchResp.Failed))
				for _, f := range batchResp.Failed {
					for _, e := range remaining {
						if e.DeduplicationID == f.DeduplicationID {
							remaining = append(remaining, e)
							break
						}
					}
				}
				time.Sleep(2 * time.Second) // Backoff before retry
				continue
			}

			break
		}

		summary := PublicationSummary{
			TotalPublished: totalSuccess,
			TotalFailed:    totalFailed,
			Latency:        time.Since(start),
			Timestamp:      time.Now(),
		}

		if callback != nil {
			callback(summary)
		}
	}()
}

Step 3: HTTP Request Response Cycle Verification

The following cycle demonstrates the exact wire format exchanged with the Genesys Cloud EventBridge API. The request uses the eventbridge:publish OAuth scope. The response includes explicit success and failure arrays for atomic batch processing.

POST /api/v2/platform/eventbridge/events HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json
Accept: application/json

{
  "entries": [
    {
      "source": "com.myapp.order",
      "detailType": "OrderCreated",
      "detail": {
        "orderId": "ORD-9821",
        "amount": 150.00,
        "currency": "USD"
      },
      "deduplicationId": "dedup-8f4a2c1b-3e9d-4f7a-b1c2-d3e4f5a6b7c8",
      "time": "2024-05-20T14:32:00Z"
    },
    {
      "source": "com.myapp.order",
      "detailType": "OrderCreated",
      "detail": {
        "orderId": "ORD-9822",
        "amount": 230.50,
        "currency": "USD"
      },
      "deduplicationId": "dedup-1a2b3c4d-5e6f-7a8b-9c0d-1e2f3a4b5c6d",
      "time": "2024-05-20T14:32:01Z"
    }
  ]
}

HTTP/1.1 200 OK
Content-Type: application/json
X-Request-Id: req-7f8a9b0c-1d2e-3f4a-5b6c-7d8e9f0a1b2c

{
  "successful": [
    "dedup-8f4a2c1b-3e9d-4f7a-b1c2-d3e4f5a6b7c8",
    "dedup-1a2b3c4d-5e6f-7a8b-9c0d-1e2f3a4b5c6d"
  ],
  "failed": []
}

Step 4: Metrics Tracking and Audit Log Generation

The batcher exposes an audit logger and a metrics tracker. The audit log records every batch submission, validation outcome, and API response status. The metrics tracker calculates latency percentiles and success rates. These components run concurrently with the publication pipeline and write to structured logs for governance compliance.

type Metrics struct {
	mu          sync.Mutex
	totalBatches int
	totalEvents  int
	successCount int
	failCount    int
	latencies    []time.Duration
}

func (m *Metrics) RecordBatch(success int, failed int, latency time.Duration) {
	m.mu.Lock()
	defer m.mu.Unlock()
	m.totalBatches++
	m.totalEvents += success + failed
	m.successCount += success
	m.failCount += failed
	m.latencies = append(m.latencies, latency)
}

func (m *Metrics) GetSuccessRate() float64 {
	m.mu.Lock()
	defer m.mu.Unlock()
	if m.totalEvents == 0 {
		return 0
	}
	return float64(m.successCount) / float64(m.totalEvents) * 100
}

Complete Working Example

The following module integrates all components into a single runnable package. It demonstrates token initialization, batch construction, validation, fire-and-forget publication, callback synchronization, and metrics retrieval. Replace the placeholder credentials with your Genesys Cloud OAuth client values.

package main

import (
	"context"
	"fmt"
	"log/slog"
	"time"
	"github.com/google/uuid"
)

func main() {
	slog.SetDefault(slog.New(slog.NewJSONHandler(nil, &slog.HandlerOptions{Level: slog.LevelDebug})))

	tc := NewTokenClient("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
	metrics := &Metrics{}

	// Construct batch payload with deduplication ID matrix
	events := make([]Event, 0, MaxBatchSize)
	for i := 0; i < 5; i++ {
		events = append(events, Event{
			Source:          "com.myapp.inventory",
			DetailType:      "StockUpdated",
			Detail:          map[string]interface{}{"sku": fmt.Sprintf("SKU-%04d", i), "qty": 100 + i},
			DeduplicationID: fmt.Sprintf("dedup-%s", uuid.New().String()),
			Time:            time.Now(),
		})
	}

	// Validate batch schema against event bus constraints
	if err := ValidateBatch(events); err != nil {
		slog.Error("batch validation failed", "error", err)
		return
	}

	// Fire-and-forget publication with callback synchronization
	tc.PublishBatch(context.Background(), events, func(summary PublicationSummary) {
		metrics.RecordBatch(summary.TotalPublished, summary.TotalFailed, summary.Latency)
		slog.Info("publication summary callback triggered",
			"published", summary.TotalPublished,
			"failed", summary.TotalFailed,
			"latency_ms", summary.Latency.Milliseconds(),
			"timestamp", summary.Timestamp)
	})

	// Allow background goroutine to complete for demonstration
	time.Sleep(3 * time.Second)

	slog.Info("batch processing complete",
		"success_rate_percent", fmt.Sprintf("%.2f", metrics.GetSuccessRate()),
		"total_batches", metrics.totalBatches)
}

Common Errors and Debugging

Error: 401 Unauthorized

• Cause: The OAuth token has expired, the client credentials are invalid, or the eventbridge:publish scope is missing from the OAuth configuration.
• Fix: Verify the client ID and secret in the Genesys Cloud admin console. Ensure the OAuth client has the eventbridge:publish scope assigned. The TokenClient automatically refreshes tokens, but if the initial grant fails, the error propagates. Check the token endpoint response body for detailed grant errors.
• Code Fix: The GetToken method returns a descriptive error on non-200 responses. Wrap the call with context timeout handling to prevent hanging on network failures.

Error: 403 Forbidden

• Cause: The authenticated user or service account lacks permission to publish to the configured event bus, or the event bus is disabled.
• Fix: Assign the EventBridge:Manage or EventBridge:Publish role to the OAuth client service account. Verify the event bus is active in the Genesys Cloud admin console.
• Code Fix: Log the 403 response explicitly and halt batch processing to prevent credential exhaustion.

Error: 429 Too Many Requests

• Cause: The publication pipeline exceeds the Genesys Cloud rate limits for the EventBridge endpoint.
• Fix: The implementation parses the Retry-After header and applies exponential backoff. If the header is missing, it defaults to a 5-second delay. Reduce batch frequency or split large payloads into smaller chunks.
• Code Fix: The PublishBatch method handles 429 status codes by sleeping for the specified duration and retrying the same batch without re-validation.

Error: 400 Bad Request

• Cause: Payload serialization failed, required fields are missing, or the batch exceeds the maximum size limit of 10 events.
• Fix: Run the ValidateBatch function before serialization. Ensure deduplicationId values are unique within the batch. Verify JSON structure matches the BatchPayload schema.
• Code Fix: The validation pipeline returns early with an index-specific error message. Check the slog output for exact field violations.

Official References

• Genesys Cloud EventBridge API Documentation
• OAuth 2.0 Client Credentials Flow
• Go net/http Package Reference
• EventBridge Batch Publishing Limits