Designing a retry strategy with exponential backoff for Genesys Cloud outbound webhooks using AWS SQS dead-letter queues and a Go consumer
What You Will Build
- A Go microservice that consumes Genesys Cloud outbound campaign webhook payloads from an AWS SQS queue, retries failed processing with exponential backoff, and routes permanently failed messages to a Dead-Letter Queue.
- This implementation uses the AWS SDK for Go v2, native SQS message attributes for retry tracking, and deterministic jitter to prevent thundering herd scenarios.
- The tutorial covers Go 1.21+ with production-grade error handling, context cancellation, and visibility timeout management.
Prerequisites
- AWS IAM role or user with
sqs:ReceiveMessage,sqs:DeleteMessage,sqs:SendMessage, andsqs:GetQueueAttributespermissions - AWS SQS standard queue and associated DLQ with a maximum receive count policy configured
- Go 1.21 or later installed
github.com/aws/aws-sdk-go-v2/configandgithub.com/aws/aws-sdk-go-v2/service/sqsmodules- Genesys Cloud outbound campaign configured to POST webhook events to your AWS endpoint
- OAuth scope requirement: Configuring the outbound webhook in Genesys Cloud requires
outbound:campaign:write. Consuming the webhook payloads requires no OAuth scope.
Authentication Setup
AWS credential resolution follows the SDK v2 default chain. You must provide credentials before initializing the SQS client. The following code loads configuration from environment variables, shared credentials file, or EC2/ECS instance metadata.
package main
import (
"context"
"fmt"
"log"
"time"
"github.com/aws/aws-sdk-go-v2/config"
"github.com/aws/aws-sdk-go-v2/service/sqs"
)
func loadAWSCredentials(ctx context.Context) (*sqs.Client, error) {
cfg, err := config.LoadDefaultConfig(ctx)
if err != nil {
return nil, fmt.Errorf("unable to load AWS config: %w", err)
}
client := sqs.NewFromConfig(cfg)
// Verify connectivity and permissions
_, err = client.GetQueueAttributes(ctx, &sqs.GetQueueAttributesInput{
QueueUrl: aws.String("https://sqs.us-east-1.amazonaws.com/123456789012/genesys-outbound-webhooks"),
AttributeNames: []types.QueueAttributeName{"QueueArn"},
})
if err != nil {
return nil, fmt.Errorf("SQS connectivity or permissions failed: %w", err)
}
return client, nil
}
The GetQueueAttributes call validates that your IAM principal holds the required permissions before the consumer loop begins. A 403 Forbidden response indicates missing IAM policies. A 404 Not Found indicates an incorrect queue URL or region mismatch.
Implementation
Step 1: Initialize SQS Client and Webhook Ingestion Handler
Genesys Cloud POSTs outbound webhook events to your configured endpoint. Your endpoint must acknowledge receipt within five seconds. The recommended pattern routes the HTTP POST directly to SQS using SendMessage, then returns 200 OK immediately to satisfy Genesys timeout requirements.
HTTP Request Cycle (Genesys to your receiver)
POST /webhooks/genesys-outbound HTTP/1.1
Host: api.yourdomain.com
Content-Type: application/json
X-Genesys-Webhook-Id: 8a7b6c5d-4e3f-2a1b-0c9d-8e7f6a5b4c3d
X-Genesys-Webhook-Timestamp: 2024-05-15T10:30:00.000Z
{
"campaignId": "12345678-1234-1234-1234-123456789012",
"contactId": "87654321-4321-4321-4321-210987654321",
"callId": "call-uuid-12345678",
"status": "CALL_COMPLETED",
"timestamp": "2024-05-15T10:30:00.000Z",
"conversation": {
"duration": 120,
"direction": "OUTBOUND",
"queueName": "Sales Outreach",
"wrapUpCode": "SALE_SUCCESS"
}
}
HTTP Response Cycle (Your receiver to Genesys)
HTTP/1.1 200 OK
Content-Type: application/json
{"status": "accepted"}
The consumer polls the SQS queue using long polling to reduce empty responses and API costs. You must request MessageAttributes to track retry counts without altering the original Genesys payload.
func pollQueue(ctx context.Context, client *sqs.Client, queueURL string) ([]types.Message, error) {
result, err := client.ReceiveMessage(ctx, &sqs.ReceiveMessageInput{
QueueUrl: aws.String(queueURL),
MaxNumberOfMessages: aws.Int32(10),
WaitTimeSeconds: aws.Int32(10),
AttributeNames: []types.QueueAttributeName{"SentTimestamp"},
MessageAttributeNames: []types.MessageAttributeName{"All"},
VisibilityTimeout: aws.Int32(30),
})
if err != nil {
return nil, fmt.Errorf("receive message failed: %w", err)
}
return result.Messages, nil
}
The VisibilityTimeout parameter ensures other consumers cannot process the same message while your application works on it. A thirty-second timeout accommodates database writes and downstream API calls. If processing exceeds this window, the message becomes visible again, triggering a duplicate processing scenario. You must implement idempotency checks using contactId or callId to prevent data corruption.
Step 2: Implement Exponential Backoff Retry Logic
When downstream processing fails, you must retry with exponential backoff. The formula baseDelay * 2^attempt + randomJitter prevents synchronized retry storms across multiple consumer instances. You track attempts using SQS message attributes rather than modifying the payload.
type GenesysWebhookPayload struct {
CampaignID string `json:"campaignId"`
ContactID string `json:"contactId"`
CallID string `json:"callId"`
Status string `json:"status"`
Timestamp string `json:"timestamp"`
Conversation struct {
Duration int `json:"duration"`
Direction string `json:"direction"`
QueueName string `json:"queueName"`
WrapUpCode string `json:"wrapUpCode"`
} `json:"conversation"`
}
func calculateBackoff(retryCount int, maxBackoff time.Duration) time.Duration {
if retryCount > 6 {
retryCount = 6
}
delay := time.Duration(1<<uint(retryCount)) * time.Second
if delay > maxBackoff {
delay = maxBackoff
}
// Add deterministic jitter (0 to 500ms)
jitter := time.Duration(rand.Intn(500)) * time.Millisecond
return delay + jitter
}
func processWebhook(ctx context.Context, payload GenesysWebhookPayload) error {
// Simulate downstream processing (database insert, CRM update, etc.)
// Replace with actual business logic
if payload.Status == "CALL_COMPLETED" {
// Perform idempotent write
return nil
}
return fmt.Errorf("unsupported status: %s", payload.Status)
}
The backoff function caps retries at six attempts to prevent unbounded delays. The jitter value prevents multiple consumers from waking simultaneously after a shared failure event. You must serialize the retry count into a string for SQS message attributes, as the SDK only accepts string values.
Step 3: Route Exhausted Messages to the Dead-Letter Queue
When the retry limit is reached, you must move the message to the DLQ for manual inspection or automated replay. You delete the message from the primary queue immediately to prevent infinite cycling.
func handleRetryOrDLQ(ctx context.Context, client *sqs.Client,
mainQueueURL string, dlqURL string, msg types.Message,
payload GenesysWebhookPayload, retryCount int, maxRetries int) error {
if retryCount >= maxRetries {
// Route to DLQ
_, err := client.SendMessage(ctx, &sqs.SendMessageInput{
QueueUrl: aws.String(dlqURL),
MessageBody: aws.String(aws.ToString(msg.Body)),
MessageAttributes: msg.MessageAttributes,
})
if err != nil {
return fmt.Errorf("failed to send to DLQ: %w", err)
}
// Delete from main queue to stop retry cycle
_, err = client.DeleteMessage(ctx, &sqs.DeleteMessageInput{
QueueUrl: aws.String(mainQueueURL),
ReceiptHandle: msg.ReceiptHandle,
})
if err != nil {
return fmt.Errorf("failed to delete from main queue: %w", err)
}
return nil
}
// Calculate backoff and re-queue with updated retry count
backoff := calculateBackoff(retryCount, 30*time.Second)
time.Sleep(backoff)
newRetryCount := retryCount + 1
_, err := client.SendMessage(ctx, &sqs.SendMessageInput{
QueueUrl: aws.String(mainQueueURL),
MessageBody: aws.String(aws.ToString(msg.Body)),
DelaySeconds: aws.Int32(int32(backoff.Seconds())),
MessageAttributes: map[string]types.MessageAttributeValue{
"RetryCount": {
DataType: aws.String("Number"),
StringValue: aws.String(fmt.Sprintf("%d", newRetryCount)),
},
},
})
if err != nil {
return fmt.Errorf("failed to re-queue with backoff: %w", err)
}
return nil
}
The DelaySeconds parameter instructs SQS to hold the message before making it visible again. This eliminates the need for application-level sleep loops and reduces memory footprint. The DLQ preserves the original MessageAttributes, ensuring debugging tools can trace the retry history.
Complete Working Example
package main
import (
"context"
"encoding/json"
"fmt"
"log"
"math/rand"
"os"
"os/signal"
"syscall"
"time"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/config"
"github.com/aws/aws-sdk-go-v2/service/sqs"
"github.com/aws/aws-sdk-go-v2/service/sqs/types"
)
type GenesysWebhookPayload struct {
CampaignID string `json:"campaignId"`
ContactID string `json:"contactId"`
CallID string `json:"callId"`
Status string `json:"status"`
Timestamp string `json:"timestamp"`
Conversation struct {
Duration int `json:"duration"`
Direction string `json:"direction"`
QueueName string `json:"queueName"`
WrapUpCode string `json:"wrapUpCode"`
} `json:"conversation"`
}
func loadAWSCredentials(ctx context.Context) (*sqs.Client, error) {
cfg, err := config.LoadDefaultConfig(ctx)
if err != nil {
return nil, fmt.Errorf("unable to load AWS config: %w", err)
}
return sqs.NewFromConfig(cfg), nil
}
func calculateBackoff(retryCount int, maxBackoff time.Duration) time.Duration {
if retryCount > 6 {
retryCount = 6
}
delay := time.Duration(1<<uint(retryCount)) * time.Second
if delay > maxBackoff {
delay = maxBackoff
}
jitter := time.Duration(rand.Intn(500)) * time.Millisecond
return delay + jitter
}
func processWebhook(ctx context.Context, payload GenesysWebhookPayload) error {
if payload.Status == "CALL_COMPLETED" {
return nil
}
return fmt.Errorf("unsupported status: %s", payload.Status)
}
func handleRetryOrDLQ(ctx context.Context, client *sqs.Client,
mainQueueURL string, dlqURL string, msg types.Message,
payload GenesysWebhookPayload, retryCount int, maxRetries int) error {
if retryCount >= maxRetries {
_, err := client.SendMessage(ctx, &sqs.SendMessageInput{
QueueUrl: aws.String(dlqURL),
MessageBody: aws.String(aws.ToString(msg.Body)),
MessageAttributes: msg.MessageAttributes,
})
if err != nil {
return fmt.Errorf("failed to send to DLQ: %w", err)
}
_, err = client.DeleteMessage(ctx, &sqs.DeleteMessageInput{
QueueUrl: aws.String(mainQueueURL),
ReceiptHandle: msg.ReceiptHandle,
})
if err != nil {
return fmt.Errorf("failed to delete from main queue: %w", err)
}
return nil
}
backoff := calculateBackoff(retryCount, 30*time.Second)
time.Sleep(backoff)
newRetryCount := retryCount + 1
_, err := client.SendMessage(ctx, &sqs.SendMessageInput{
QueueUrl: aws.String(mainQueueURL),
MessageBody: aws.String(aws.ToString(msg.Body)),
DelaySeconds: aws.Int32(int32(backoff.Seconds())),
MessageAttributes: map[string]types.MessageAttributeValue{
"RetryCount": {
DataType: aws.String("Number"),
StringValue: aws.String(fmt.Sprintf("%d", newRetryCount)),
},
},
})
if err != nil {
return fmt.Errorf("failed to re-queue with backoff: %w", err)
}
return nil
}
func main() {
ctx, cancel := signal.NotifyContext(context.Background(), os.Interrupt, syscall.SIGTERM)
defer cancel()
client, err := loadAWSCredentials(ctx)
if err != nil {
log.Fatalf("Initialization failed: %v", err)
}
mainQueueURL := os.Getenv("SQS_MAIN_QUEUE_URL")
dlqURL := os.Getenv("SQS_DLQ_URL")
if mainQueueURL == "" || dlqURL == "" {
log.Fatal("SQS_MAIN_QUEUE_URL and SQS_DLQ_URL environment variables are required")
}
maxRetries := 5
log.Println("Starting Genesys webhook consumer...")
for {
select {
case <-ctx.Done():
log.Println("Shutdown signal received. Exiting gracefully.")
return
default:
messages, err := client.ReceiveMessage(ctx, &sqs.ReceiveMessageInput{
QueueUrl: aws.String(mainQueueURL),
MaxNumberOfMessages: aws.Int32(5),
WaitTimeSeconds: aws.Int32(10),
MessageAttributeNames: []types.MessageAttributeName{"All"},
VisibilityTimeout: aws.Int32(30),
})
if err != nil {
log.Printf("ReceiveMessage error: %v", err)
time.Sleep(2 * time.Second)
continue
}
for _, msg := range messages {
var payload GenesysWebhookPayload
if err := json.Unmarshal([]byte(aws.ToString(msg.Body)), &payload); err != nil {
log.Printf("JSON unmarshal failed: %v", err)
// Delete malformed messages to prevent poison pill loops
client.DeleteMessage(ctx, &sqs.DeleteMessageInput{
QueueUrl: aws.String(mainQueueURL),
ReceiptHandle: msg.ReceiptHandle,
})
continue
}
retryCount := 0
if attr, ok := msg.MessageAttributes["RetryCount"]; ok {
fmt.Sscanf(aws.ToString(attr.StringValue), "%d", &retryCount)
}
if err := processWebhook(ctx, payload); err != nil {
log.Printf("Processing failed for contact %s: %v", payload.ContactID, err)
if retryErr := handleRetryOrDLQ(ctx, client, mainQueueURL, dlqURL, msg, payload, retryCount, maxRetries); retryErr != nil {
log.Printf("Retry/DLQ routing failed: %v", retryErr)
}
continue
}
_, err := client.DeleteMessage(ctx, &sqs.DeleteMessageInput{
QueueUrl: aws.String(mainQueueURL),
ReceiptHandle: msg.ReceiptHandle,
})
if err != nil {
log.Printf("DeleteMessage failed: %v", err)
}
}
}
}
}
Common Errors & Debugging
Error: AccessDenied or InvalidAction on SQS API
What causes it: The IAM role attached to your compute environment lacks sqs:ReceiveMessage, sqs:DeleteMessage, or sqs:SendMessage permissions. It also occurs when the DLQ policy does not grant the source queue permission to send messages to it.
How to fix it: Attach a managed policy or inline policy that explicitly grants the required actions. Verify the DLQ redrive policy matches the source queue ARN.
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": ["sqs:ReceiveMessage", "sqs:DeleteMessage", "sqs:SendMessage", "sqs:GetQueueAttributes"],
"Resource": [
"arn:aws:sqs:us-east-1:123456789012:genesys-outbound-webhooks",
"arn:aws:sqs:us-east-1:123456789012:genesys-outbound-webhooks-dlq"
]
}
]
}
Error: JSON Unmarshal Panic on Malformed Genesys Payload
What causes it: Genesys Cloud occasionally sends test events or schema-migrated payloads that omit expected fields. The Go encoding/json package returns an error instead of panicking, but unhandled errors cause message loops.
How to fix it: Always validate json.Unmarshal return values. Delete messages that fail schema validation to prevent poison pill accumulation. Use a fallback handler or route malformed payloads to a separate inspection queue.
if err := json.Unmarshal([]byte(aws.ToString(msg.Body)), &payload); err != nil {
log.Printf("Schema validation failed: %v", err)
client.DeleteMessage(ctx, &sqs.DeleteMessageInput{
QueueUrl: aws.String(mainQueueURL),
ReceiptHandle: msg.ReceiptHandle,
})
continue
}
Error: 503 SlowDown or Throttling from AWS SQS
What causes it: Exceeding per-queue request limits (typically 5 messages per second for standard queues without scaling). Long polling reduces empty requests but does not prevent throttling during burst retries.
How to fix it: Implement adaptive concurrency. Track 429 or 503 responses and reduce MaxNumberOfMessages dynamically. Add a circuit breaker pattern that pauses polling for ten seconds when throttling occurs.
if strings.Contains(err.Error(), "SlowDown") || strings.Contains(err.Error(), "Throttling") {
log.Printf("SQS throttling detected. Pausing for 10s.")
time.Sleep(10 * time.Second)
continue
}