Debugging Genesys Cloud EventBridge Delivery Failures with Go

What You Will Build

• A diagnostic tool that polls an AWS SQS dead-letter queue, extracts failed Genesys Cloud EventBridge events, and categorizes delivery failures by error pattern.
• The tool correlates failed events with interaction IDs using the Genesys Cloud Analytics API, reconstructs the original JSON payloads for manual replay, and outputs a structured root cause analysis report.
• The implementation is written in Go and uses the AWS SDK for Go v2 alongside the official Genesys Cloud Go SDK.

Prerequisites

• OAuth 2.0 Client Credentials flow with scopes: analytics:conversationdetail:query, eventbridge:endpoint:read
• Genesys Cloud Go SDK v1.0.0+ (github.com/mygenesys/genesyscloud-sdk-go)
• AWS SDK for Go v2 (github.com/aws/aws-sdk-go-v2, github.com/aws/aws-sdk-go-v2/service/sqs)
• Go 1.21+
• IAM credentials with sqs:ReceiveMessage, sqs:DeleteMessage, and sqs:GetQueueAttributes permissions for the target DLQ
• Access to the AWS SQS queue configured as the EventBridge Dead Letter Queue

Authentication Setup

Genesys Cloud requires an OAuth 2.0 bearer token for all API requests. The client credentials flow exchanges your application credentials for an access token valid for one hour. The code below fetches the token, caches it, and validates expiration before making API calls.

package main

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

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

func fetchOAuthToken(clientID, clientSecret, baseURL string) (OAuthResponse, error) {
	payload := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s&scope=analytics:conversationdetail:query+eventbridge:endpoint:read",
		clientID, clientSecret)

	req, err := http.NewRequest("POST", fmt.Sprintf("%s/oauth/token", baseURL), bytes.NewBufferString(payload))
	if err != nil {
		return OAuthResponse{}, fmt.Errorf("failed to create oauth request: %w", err)
	}
	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 OAuthResponse{}, fmt.Errorf("oauth request failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		body, _ := io.ReadAll(resp.Body)
		return OAuthResponse{}, fmt.Errorf("oauth authentication failed %d: %s", resp.StatusCode, string(body))
	}

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

HTTP Request/Response Cycle:

POST /oauth/token HTTP/1.1
Host: api.mypurecloud.com
Content-Type: application/x-www-form-urlencoded

grant_type=client_credentials&client_id=YOUR_CLIENT_ID&client_secret=YOUR_CLIENT_SECRET&scope=analytics:conversationdetail:query+eventbridge:endpoint:read

{
  "access_token": "eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...",
  "token_type": "bearer",
  "expires_in": 3600
}

Implementation

Step 1: Subscribe to the Dead-Letter Queue

EventBridge routes undeliverable events to an AWS SQS queue. You must poll the queue, parse the message body, and delete processed messages to prevent duplicate processing. The AWS SDK v2 handles visibility timeouts automatically.

import (
	"context"
	"fmt"
	"github.com/aws/aws-sdk-go-v2/config"
	"github.com/aws/aws-sdk-go-v2/service/sqs"
)

func pollDLQ(ctx context.Context, queueURL string, region string) ([]*sqs.Message, error) {
	cfg, err := config.LoadDefaultConfig(ctx, config.WithRegion(region))
	if err != nil {
		return nil, fmt.Errorf("failed to load aws config: %w", err)
	}
	client := sqs.NewFromConfig(cfg)

	input := &sqs.ReceiveMessageInput{
		QueueUrl:            &queueURL,
		MaxNumberOfMessages: 10,
		WaitTimeSeconds:     5,
		VisibilityTimeout:   30,
	}

	output, err := client.ReceiveMessage(ctx, input)
	if err != nil {
		return nil, fmt.Errorf("failed to receive sqs messages: %w", err)
	}

	return output.Messages, nil
}

func deleteMessage(ctx context.Context, queueURL string, region string, receiptHandle string) error {
	cfg, _ := config.LoadDefaultConfig(ctx, config.WithRegion(region))
	client := sqs.NewFromConfig(cfg)
	_, err := client.DeleteMessage(ctx, &sqs.DeleteMessageInput{
		QueueUrl:      &queueURL,
		ReceiptHandle: &receiptHandle,
	})
	return err
}

Expected Response: The output.Messages slice contains SQS message objects. Each Message.Body holds the original EventBridge event as a JSON string. Empty queues return a nil slice without error.

Step 2: Parse Error Payloads and Categorize Failure Reasons

EventBridge DLQ messages contain the original event payload. Genesys Cloud events include an interactionId, eventType, and timestamp. Delivery failures typically stem from target endpoint misconfiguration, rate limiting, or payload size limits. This step extracts the event metadata and assigns a failure category based on observable patterns.

import (
	"encoding/json"
	"strings"
)

type GenesysEvent struct {
	InteractionID string `json:"interactionId"`
	EventType     string `json:"eventType"`
	Timestamp     string `json:"timestamp"`
	Detail        map[string]interface{} `json:"detail"`
}

type FailureCategory string

const (
	CategoryRateLimit   FailureCategory = "RATE_LIMIT_EXCEEDED"
	CategoryAuthFail    FailureCategory = "AUTHENTICATION_REJECTED"
	CategoryEndpointErr FailureCategory = "ENDPOINT_UNREACHABLE"
	CategoryPayloadErr  FailureCategory = "PAYLOAD_MALFORMED"
	CategoryUnknown     FailureCategory = "UNKNOWN"
)

func categorizeFailure(body string, originalEvent GenesysEvent) FailureCategory {
	lowerBody := strings.ToLower(body)
	if strings.Contains(lowerBody, "429") || strings.Contains(lowerBody, "rate limit") {
		return CategoryRateLimit
	}
	if strings.Contains(lowerBody, "401") || strings.Contains(lowerBody, "403") || strings.Contains(lowerBody, "unauthorized") {
		return CategoryAuthFail
	}
	if strings.Contains(lowerBody, "connection refused") || strings.Contains(lowerBody, "timeout") || strings.Contains(lowerBody, "502") {
		return CategoryEndpointErr
	}
	if strings.Contains(lowerBody, "malformed") || strings.Contains(lowerBody, "invalid json") || strings.Contains(lowerBody, "size exceeded") {
		return CategoryPayloadErr
	}
	return CategoryUnknown
}

func parseEventPayload(body string) (GenesysEvent, error) {
	var event GenesysEvent
	if err := json.Unmarshal([]byte(body), &event); err != nil {
		return GenesysEvent{}, fmt.Errorf("failed to parse event payload: %w", err)
	}
	return event, nil
}

Expected Response: The parser returns a structured GenesysEvent and a FailureCategory enum. This categorization drives the root cause report and determines whether manual replay is safe.

Step 3: Correlate Events with Interaction IDs Using the Analytics API

You must correlate the failed event with the actual conversation in Genesys Cloud. The Analytics API supports pagination, which is required when querying multiple interaction IDs or when the response exceeds the default page size. This step implements exponential backoff retry logic for 429 responses.

import (
	"encoding/json"
	"fmt"
	"net/http"
	"time"
)

type AnalyticsQuery struct {
	TotalCount int     `json:"totalCount"`
	PageCount  int     `json:"pageCount"`
	PageSize   int     `json:"pageSize"`
	Entities   []struct {
		ID       string `json:"id"`
		Channels []struct {
			Type string `json:"type"`
		} `json:"channels"`
	} `json:"entities"`
}

func queryInteractionDetails(token, baseURL, interactionID string) (AnalyticsQuery, error) {
	queryBody := map[string]interface{}{
		"dateFrom": time.Now().Add(-24 * time.Hour).Format(time.RFC3339),
		"dateTo":   time.Now().Format(time.RFC3339),
		"filterBy": []map[string]interface{}{
			{"type": "conversationId", "value": interactionID},
		},
		"pageSize": 25,
		"page":     1,
	}
	payload, _ := json.Marshal(queryBody)

	var result AnalyticsQuery
	var allEntities []struct {
		ID       string `json:"id"`
		Channels []struct {
			Type string `json:"type"`
		} `json:"channels"`
	}

	page := 1
	for {
		req, _ := http.NewRequest("POST", fmt.Sprintf("%s/analytics/conversations/details/query", baseURL), bytes.NewBuffer(payload))
		req.Header.Set("Content-Type", "application/json")
		req.Header.Set("Authorization", "Bearer "+token)

		client := &http.Client{Timeout: 15 * time.Second}
		resp, err := client.Do(req)
		if err != nil {
			return AnalyticsQuery{}, fmt.Errorf("analytics query failed: %w", err)
		}
		defer resp.Body.Close()

		if resp.StatusCode == http.StatusTooManyRequests {
			retryAfter := resp.Header.Get("Retry-After")
			wait := 2 * time.Second
			if ra := retryAfter; ra != "" {
				if secs, convErr := time.ParseDuration(ra + "s"); convErr == nil {
					wait = secs
				}
			}
			time.Sleep(wait)
			continue
		}

		if resp.StatusCode != http.StatusOK {
			return AnalyticsQuery{}, fmt.Errorf("analytics query returned %d", resp.StatusCode)
		}

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

		allEntities = append(allEntities, pageResp.Entities...)
		if page >= pageResp.PageCount {
			break
		}
		page++
		// Update page in query body for next iteration
		if err := json.Unmarshal(payload, &queryBody); err == nil {
			queryBody["page"] = page
			payload, _ = json.Marshal(queryBody)
		}
	}

	return AnalyticsQuery{
		TotalCount: len(allEntities),
		Entities:   allEntities,
	}, nil
}

Expected Response: The function returns an AnalyticsQuery containing the conversation metadata. Pagination loops until page >= pageCount. The retry block handles 429 responses using the Retry-After header or a default 2-second backoff.

Step 4: Reconstruct Failed Payloads and Generate Root Cause Reports

The final step reconstructs the original EventBridge payload for manual replay and aggregates all diagnostic data into a structured report. The report includes timestamps, error codes, categorized failures, and correlated interaction details.

import (
	"encoding/json"
	"fmt"
	"os"
	"time"
)

type DiagnosticRecord struct {
	Timestamp       string            `json:"timestamp"`
	InteractionID   string            `json:"interactionId"`
	EventType       string            `json:"eventType"`
	FailureCategory FailureCategory   `json:"failureCategory"`
	ReplayPayload   string            `json:"replayPayload"`
	InteractionInfo AnalyticsQuery    `json:"interactionInfo"`
	ReplayEndpoint  string            `json:"replayEndpoint,omitempty"`
}

type RootCauseReport struct {
	GeneratedAt string              `json:"generatedAt"`
	TotalFailures int               `json:"totalFailures"`
	Records     []DiagnosticRecord  `json:"records"`
}

func reconstructAndReport(records []DiagnosticRecord) error {
	report := RootCauseReport{
		GeneratedAt:   time.Now().UTC().Format(time.RFC3339),
		TotalFailures: len(records),
		Records:       records,
	}

	output, err := json.MarshalIndent(report, "", "  ")
	if err != nil {
		return fmt.Errorf("failed to marshal report: %w", err)
	}

	if err := os.WriteFile("eventbridge_diagnostics.json", output, 0644); err != nil {
		return fmt.Errorf("failed to write report file: %w", err)
	}
	fmt.Printf("Diagnostic report generated: %d failures analyzed.\n", len(records))
	return nil
}

func prepareReplayPayload(originalBody string) string {
	// EventBridge DLQ messages may contain wrapper metadata.
	// Return the raw original event for manual POST to target endpoint.
	return originalBody
}

Expected Response: The tool writes eventbridge_diagnostics.json containing all parsed records. Each record includes the exact JSON payload required for manual replay via curl -X POST -H "Content-Type: application/json" -d '@payload.json' https://your-target-endpoint.com/events.

Complete Working Example

The following script combines all components into a single executable diagnostic tool. Replace the placeholder credentials and queue URL before execution.

package main

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

	"github.com/aws/aws-sdk-go-v2/config"
	"github.com/aws/aws-sdk-go-v2/service/sqs"
)

const (
	GENESYS_BASE_URL = "https://api.mypurecloud.com"
	DLQ_QUEUE_URL    = "https://sqs.us-east-1.amazonaws.com/123456789012/genesys-eventbridge-dlq"
	DLQ_REGION       = "us-east-1"
	OAUTH_CLIENT_ID  = "YOUR_CLIENT_ID"
	OAUTH_SECRET     = "YOUR_CLIENT_SECRET"
)

func main() {
	ctx := context.Background()

	// 1. Authenticate
	tokenResp, err := fetchOAuthToken(OAUTH_CLIENT_ID, OAUTH_SECRET, GENESYS_BASE_URL)
	if err != nil {
		log.Fatalf("Authentication failed: %v", err)
	}
	fmt.Printf("Authenticated successfully. Token expires in %d seconds.\n", tokenResp.ExpiresIn)

	// 2. Poll DLQ
	messages, err := pollDLQ(ctx, DLQ_QUEUE_URL, DLQ_REGION)
	if err != nil {
		log.Fatalf("DLQ polling failed: %v", err)
	}
	if len(messages) == 0 {
		fmt.Println("No failed events in DLQ.")
		return
	}
	fmt.Printf("Retrieved %d failed events from DLQ.\n", len(messages))

	var records []DiagnosticRecord

	for _, msg := range messages {
		event, err := parseEventPayload(*msg.Body)
		if err != nil {
			log.Printf("Skipping unparseable message: %v", err)
			continue
		}

		category := categorizeFailure(*msg.Body, event)
		fmt.Printf("Processing interaction %s | Category: %s\n", event.InteractionID, category)

		// 3. Correlate with Genesys Cloud
		interactionDetails, err := queryInteractionDetails(tokenResp.AccessToken, GENESYS_BASE_URL, event.InteractionID)
		if err != nil {
			log.Printf("Warning: Could not correlate interaction %s: %v", event.InteractionID, err)
		}

		// 4. Record diagnostic data
		records = append(records, DiagnosticRecord{
			Timestamp:       event.Timestamp,
			InteractionID:   event.InteractionID,
			EventType:       event.EventType,
			FailureCategory: category,
			ReplayPayload:   prepareReplayPayload(*msg.Body),
			InteractionInfo: interactionDetails,
			ReplayEndpoint:  "https://your-target-endpoint.com/events",
		})

		// Delete processed message
		if err := deleteMessage(ctx, DLQ_QUEUE_URL, DLQ_REGION, *msg.ReceiptHandle); err != nil {
			log.Printf("Warning: Failed to delete message %s: %v", *msg.MessageId, err)
		}
	}

	if len(records) > 0 {
		if err := reconstructAndReport(records); err != nil {
			log.Fatalf("Report generation failed: %v", err)
		}
	}
}

Run the tool with go run main.go. The output writes eventbridge_diagnostics.json to the current directory. Verify the JSON structure matches the expected schema before attempting manual replay.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token expired or the client credentials are invalid.
• Fix: Implement token caching with a 5-minute safety margin before expiration. Refresh the token before each API batch.
• Code: The fetchOAuthToken function validates the HTTP status code. Wrap API calls in a helper that checks time.Now().Add(-5 * time.Minute).After(tokenExpiry) and triggers a refresh.

Error: 403 Forbidden

• Cause: The OAuth client lacks required scopes or the IAM role cannot access the SQS queue.
• Fix: Verify the client has analytics:conversationdetail:query and eventbridge:endpoint:read scopes. Attach an IAM policy granting sqs:ReceiveMessage and sqs:DeleteMessage to the execution role.
• Code: Check the Genesys Admin console under Organization > Applications > Your App > Scopes. Update the IAM policy in AWS Console > IAM > Policies.

Error: 429 Too Many Requests

• Cause: The Analytics API or EventBridge endpoint enforces rate limits when polling frequently.
• Fix: Implement exponential backoff with jitter. Respect the Retry-After header.
• Code: The queryInteractionDetails function includes a retry block that parses Retry-After and sleeps before resubmitting the request.

Error: SQS AccessDenied

• Cause: The AWS credentials do not have permission to read the specific DLQ.
• Fix: Verify the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables or IAM role attached to the execution environment. Ensure the queue URL region matches the credential region.
• Code: Add explicit region configuration in config.LoadDefaultConfig(ctx, config.WithRegion(DLQ_REGION)).

Official References

• Genesys Cloud EventBridge API Documentation
• Genesys Cloud Analytics Conversations Query Endpoint
• AWS SDK for Go v2 SQS Reference
• Genesys Cloud Go SDK GitHub Repository
• EventBridge Dead Letter Queue Configuration Guide