Implementing server-side filtering for Genesys Cloud EventBridge streams using a Go consumer to reduce payload processing overhead and database write latency
What You Will Build
- A Go service that consumes Genesys Cloud events from an AWS SQS queue backed by EventBridge, applies deterministic server-side filters, and writes only matching records to a PostgreSQL database.
- The solution uses the AWS SDK for Go v2 to poll messages, parse the EventBridge payload structure, and enforce filtering rules before database insertion.
- The tutorial covers Go 1.21+, AWS SDK v2, and
pgxfor database operations.
Prerequisites
- AWS IAM credentials with
sqs:ReceiveMessage,sqs:DeleteMessage, andsqs:ChangeMessageVisibilitypermissions on the target queue. - Genesys Cloud EventBridge outbound stream configured with the
event:stream:readOAuth scope. - Go 1.21 or later installed.
- Dependencies:
github.com/aws/aws-sdk-go-v2/config,github.com/aws/aws-sdk-go-v2/service/sqs,github.com/jackc/pgx/v5,github.com/jackc/pgx/v5/pgxpool,log/slog.
Authentication Setup
AWS SDK v2 resolves credentials through the standard credential chain. Set the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables, or configure the shared credentials file at ~/.aws/credentials. The SDK automatically handles signature v4 authentication for SQS API calls.
Genesys Cloud requires the event:stream:read OAuth scope to configure outbound EventBridge streams in the Genesys Cloud admin console. Once the stream is active, Genesys signs and publishes events to AWS EventBridge. The Go consumer does not interact with Genesys OAuth tokens; it only consumes AWS SQS messages.
package main
import (
"context"
"log/slog"
"os"
"github.com/aws/aws-sdk-go-v2/config"
"github.com/aws/aws-sdk-go-v2/service/sqs"
)
func initSQSClient(ctx context.Context) (*sqs.Client, error) {
cfg, err := config.LoadDefaultConfig(ctx,
config.WithRegion(os.Getenv("AWS_REGION")),
config.WithRetryMode(config.RetryModeStandard),
)
if err != nil {
return nil, err
}
client := sqs.NewFromConfig(cfg, func(o *sqs.Options) {
o.RetryMaxAttempts = 5
})
return client, nil
}
The config.RetryModeStandard setting enables automatic exponential backoff for transient AWS errors. The SDK handles HTTP status 429 (ThrottlingException) and 5xx server errors without blocking the application loop.
Implementation
Step 1: Define EventBridge Payload Types and Filter Logic
Genesys Cloud publishes events to EventBridge using a standardized JSON envelope. The Go consumer must unmarshal this envelope before applying filters. Define strict structs to prevent silent field mismatches.
package main
import "time"
type EventBridgePayload struct {
Version string `json:"version"`
ID string `json:"id"`
DetailType string `json:"detail-type"`
Source string `json:"source"`
Account string `json:"account"`
Time time.Time `json:"time"`
Region string `json:"region"`
Resources []string `json:"resources"`
Detail GenesysDetail `json:"detail"`
}
type GenesysDetail struct {
EventType string `json:"eventType"`
EntityType string `json:"entityType"`
EntityID string `json:"entityId"`
Timestamp time.Time `json:"timestamp"`
Properties map[string]interface{} `json:"properties,omitempty"`
}
type FilterConfig struct {
AllowedSources []string
AllowedDetailTypes []string
AllowedEntityTypes []string
PropertyKey string
PropertyValue string
}
func (f FilterConfig) matches(payload EventBridgePayload) bool {
if !stringSliceContains(f.AllowedSources, payload.Source) {
return false
}
if !stringSliceContains(f.AllowedDetailTypes, payload.DetailType) {
return false
}
if !stringSliceContains(f.AllowedEntityTypes, payload.Detail.EntityType) {
return false
}
if f.PropertyKey != "" {
val, ok := payload.Detail.Properties[f.PropertyKey]
if !ok {
return false
}
if strVal, ok := val.(string); !ok || strVal != f.PropertyValue {
return false
}
}
return true
}
func stringSliceContains(slice []string, val string) bool {
for _, s := range slice {
if s == val {
return true
}
}
return false
}
The matches method evaluates the payload against a rule set. Server-side filtering occurs in memory before any database network call. This eliminates unnecessary connection pool contention and reduces write amplification.
Step 2: Process Queue Messages with Visibility Management
SQS uses visibility timeouts to prevent multiple consumers from processing the same message. The consumer must explicitly delete messages after successful processing. Implement a polling loop that respects visibility windows and handles batch receipts.
package main
import (
"context"
"encoding/json"
"fmt"
"log/slog"
"strings"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/service/sqs"
"github.com/aws/aws-sdk-go-v2/service/sqs/types"
)
type Consumer struct {
client *sqs.Client
queueURL string
filter FilterConfig
}
func (c *Consumer) PollAndFilter(ctx context.Context) error {
output, err := c.client.ReceiveMessage(ctx, &sqs.ReceiveMessageInput{
QueueUrl: aws.String(c.queueURL),
MaxNumberOfMessages: 10,
WaitTimeSeconds: 20,
VisibilityTimeout: 30,
})
if err != nil {
return fmt.Errorf("failed to receive messages: %w", err)
}
if len(output.Messages) == 0 {
return nil
}
var handledReceipts []string
var filteredPayloads []EventBridgePayload
for _, msg := range output.Messages {
var payload EventBridgePayload
if err := json.Unmarshal([]byte(*msg.Body), &payload); err != nil {
slog.Error("failed to unmarshal event", "receipt", *msg.ReceiptHandle)
handledReceipts = append(handledReceipts, *msg.ReceiptHandle)
continue
}
if c.filter.matches(payload) {
filteredPayloads = append(filteredPayloads, payload)
}
handledReceipts = append(handledReceipts, *msg.ReceiptHandle)
}
if err := c.deleteMessages(ctx, handledReceipts); err != nil {
return fmt.Errorf("failed to delete messages: %w", err)
}
slog.Info("filtered events", "received", len(output.Messages), "passed", len(filteredPayloads))
return c.writeToDatabase(ctx, filteredPayloads)
}
func (c *Consumer) deleteMessages(ctx context.Context, receipts []string) error {
if len(receipts) == 0 {
return nil
}
entries := make([]types.DeleteMessageBatchRequestEntry, 0, len(receipts))
for i, receipt := range receipts {
id := fmt.Sprintf("msg-%d", i)
entries = append(entries, types.DeleteMessageBatchRequestEntry{
Id: aws.String(id),
ReceiptHandle: aws.String(receipt),
})
}
_, err := c.client.DeleteMessageBatch(ctx, &sqs.DeleteMessageBatchInput{
QueueUrl: aws.String(c.queueURL),
Entries: entries,
})
return err
}
The ReceiveMessage call uses long polling (WaitTimeSeconds: 20) to reduce empty response cycles. The visibility timeout is set to 30 seconds, which must exceed the expected processing duration. The deleteMessages method uses the batch API to reduce HTTP round trips.
Step 3: Batch Database Writes with Transaction Isolation
Database writes are the primary bottleneck in event streaming pipelines. Batch inserts reduce transaction overhead and network latency. Use pgx to execute parameterized batch statements.
package main
import (
"context"
"fmt"
"log/slog"
"strings"
"github.com/jackc/pgx/v5"
"github.com/jackc/pgx/v5/pgxpool"
)
func NewPGPool(ctx context.Context, dsn string) (*pgxpool.Pool, error) {
pool, err := pgxpool.New(ctx, dsn)
if err != nil {
return nil, fmt.Errorf("failed to create connection pool: %w", err)
}
if err := pool.Ping(ctx); err != nil {
return nil, fmt.Errorf("failed to ping database: %w", err)
}
return pool, nil
}
func (c *Consumer) writeToDatabase(ctx context.Context, payloads []EventBridgePayload) error {
if len(payloads) == 0 {
return nil
}
pool, err := NewPGPool(ctx, "postgres://user:pass@localhost:5432/events?sslmode=disable")
if err != nil {
return fmt.Errorf("db connection failed: %w", err)
}
defer pool.Close(ctx)
batchSize := 50
for i := 0; i < len(payloads); i += batchSize {
end := i + batchSize
if end > len(payloads) {
end = len(payloads)
}
batch := payloads[i:end]
tx, err := pool.Begin(ctx)
if err != nil {
return fmt.Errorf("failed to begin transaction: %w", err)
}
var b strings.Builder
b.WriteString(`INSERT INTO event_log (event_id, detail_type, entity_type, entity_id, timestamp, properties) VALUES `)
var args []interface{}
for idx, p := range batch {
if idx > 0 {
b.WriteString(",")
}
b.WriteString(fmt.Sprintf("($%d, $%d, $%d, $%d, $%d, $%d)",
idx*6+1, idx*6+2, idx*6+3, idx*6+4, idx*6+5, idx*6+6))
args = append(args, p.ID, p.DetailType, p.Detail.EntityType, p.Detail.EntityID, p.Detail.Timestamp, p.Detail.Properties)
}
b.WriteString(";")
_, err = tx.Exec(ctx, b.String(), args...)
if err != nil {
tx.Rollback(ctx)
return fmt.Errorf("batch insert failed: %w", err)
}
if err := tx.Commit(ctx); err != nil {
return fmt.Errorf("transaction commit failed: %w", err)
}
}
return nil
}
The batch builder constructs a single INSERT statement with multiple value tuples. This reduces query parsing overhead and minimizes transaction commit frequency. The connection pool handles connection reuse and automatic cleanup.
Complete Working Example
package main
import (
"context"
"fmt"
"log/slog"
"os"
"time"
"github.com/aws/aws-sdk-go-v2/config"
"github.com/aws/aws-sdk-go-v2/service/sqs"
)
func main() {
ctx := context.Background()
sqsClient, err := initSQSClient(ctx)
if err != nil {
slog.Error("failed to initialize SQS client", "error", err)
os.Exit(1)
}
filter := FilterConfig{
AllowedSources: []string{"genesyscloud"},
AllowedDetailTypes: []string{"conversation.updated", "conversation.created"},
AllowedEntityTypes: []string{"conversation"},
PropertyKey: "direction",
PropertyValue: "inbound",
}
consumer := &Consumer{
client: sqsClient,
queueURL: os.Getenv("SQS_QUEUE_URL"),
filter: filter,
}
slog.Info("starting event consumer", "queue", consumer.queueURL)
ticker := time.NewTicker(100 * time.Millisecond)
defer ticker.Stop()
for range ticker.C {
if err := consumer.PollAndFilter(ctx); err != nil {
slog.Error("polling failed", "error", err)
continue
}
}
}
func initSQSClient(ctx context.Context) (*sqs.Client, error) {
cfg, err := config.LoadDefaultConfig(ctx,
config.WithRegion(os.Getenv("AWS_REGION")),
config.WithRetryMode(config.RetryModeStandard),
)
if err != nil {
return nil, err
}
return sqs.NewFromConfig(cfg, func(o *sqs.Options) {
o.RetryMaxAttempts = 5
}), nil
}
type EventBridgePayload struct {
Version string `json:"version"`
ID string `json:"id"`
DetailType string `json:"detail-type"`
Source string `json:"source"`
Account string `json:"account"`
Time time.Time `json:"time"`
Region string `json:"region"`
Resources []string `json:"resources"`
Detail GenesysDetail `json:"detail"`
}
type GenesysDetail struct {
EventType string `json:"eventType"`
EntityType string `json:"entityType"`
EntityID string `json:"entityId"`
Timestamp time.Time `json:"timestamp"`
Properties map[string]interface{} `json:"properties,omitempty"`
}
type FilterConfig struct {
AllowedSources []string
AllowedDetailTypes []string
AllowedEntityTypes []string
PropertyKey string
PropertyValue string
}
func (f FilterConfig) matches(payload EventBridgePayload) bool {
if !stringSliceContains(f.AllowedSources, payload.Source) {
return false
}
if !stringSliceContains(f.AllowedDetailTypes, payload.DetailType) {
return false
}
if !stringSliceContains(f.AllowedEntityTypes, payload.Detail.EntityType) {
return false
}
if f.PropertyKey != "" {
val, ok := payload.Detail.Properties[f.PropertyKey]
if !ok {
return false
}
if strVal, ok := val.(string); !ok || strVal != f.PropertyValue {
return false
}
}
return true
}
func stringSliceContains(slice []string, val string) bool {
for _, s := range slice {
if s == val {
return true
}
}
return false
}
type Consumer struct {
client *sqs.Client
queueURL string
filter FilterConfig
}
func (c *Consumer) PollAndFilter(ctx context.Context) error {
output, err := c.client.ReceiveMessage(ctx, &sqs.ReceiveMessageInput{
QueueUrl: aws.String(c.queueURL),
MaxNumberOfMessages: 10,
WaitTimeSeconds: 20,
VisibilityTimeout: 30,
})
if err != nil {
return fmt.Errorf("failed to receive messages: %w", err)
}
if len(output.Messages) == 0 {
return nil
}
var handledReceipts []string
var filteredPayloads []EventBridgePayload
for _, msg := range output.Messages {
var payload EventBridgePayload
if err := json.Unmarshal([]byte(*msg.Body), &payload); err != nil {
slog.Error("failed to unmarshal event", "receipt", *msg.ReceiptHandle)
handledReceipts = append(handledReceipts, *msg.ReceiptHandle)
continue
}
if c.filter.matches(payload) {
filteredPayloads = append(filteredPayloads, payload)
}
handledReceipts = append(handledReceipts, *msg.ReceiptHandle)
}
if err := c.deleteMessages(ctx, handledReceipts); err != nil {
return fmt.Errorf("failed to delete messages: %w", err)
}
slog.Info("filtered events", "received", len(output.Messages), "passed", len(filteredPayloads))
return c.writeToDatabase(ctx, filteredPayloads)
}
func (c *Consumer) deleteMessages(ctx context.Context, receipts []string) error {
if len(receipts) == 0 {
return nil
}
entries := make([]types.DeleteMessageBatchRequestEntry, 0, len(receipts))
for i, receipt := range receipts {
id := fmt.Sprintf("msg-%d", i)
entries = append(entries, types.DeleteMessageBatchRequestEntry{
Id: aws.String(id),
ReceiptHandle: aws.String(receipt),
})
}
_, err := c.client.DeleteMessageBatch(ctx, &sqs.DeleteMessageBatchInput{
QueueUrl: aws.String(c.queueURL),
Entries: entries,
})
return err
}
func (c *Consumer) writeToDatabase(ctx context.Context, payloads []EventBridgePayload) error {
if len(payloads) == 0 {
return nil
}
pool, err := NewPGPool(ctx, os.Getenv("DATABASE_URL"))
if err != nil {
return fmt.Errorf("db connection failed: %w", err)
}
defer pool.Close(ctx)
batchSize := 50
for i := 0; i < len(payloads); i += batchSize {
end := i + batchSize
if end > len(payloads) {
end = len(payloads)
}
batch := payloads[i:end]
tx, err := pool.Begin(ctx)
if err != nil {
return fmt.Errorf("failed to begin transaction: %w", err)
}
var b strings.Builder
b.WriteString(`INSERT INTO event_log (event_id, detail_type, entity_type, entity_id, timestamp, properties) VALUES `)
var args []interface{}
for idx, p := range batch {
if idx > 0 {
b.WriteString(",")
}
b.WriteString(fmt.Sprintf("($%d, $%d, $%d, $%d, $%d, $%d)",
idx*6+1, idx*6+2, idx*6+3, idx*6+4, idx*6+5, idx*6+6))
args = append(args, p.ID, p.DetailType, p.Detail.EntityType, p.Detail.EntityID, p.Detail.Timestamp, p.Detail.Properties)
}
b.WriteString(";")
_, err = tx.Exec(ctx, b.String(), args...)
if err != nil {
tx.Rollback(ctx)
return fmt.Errorf("batch insert failed: %w", err)
}
if err := tx.Commit(ctx); err != nil {
return fmt.Errorf("transaction commit failed: %w", err)
}
}
return nil
}
func NewPGPool(ctx context.Context, dsn string) (*pgxpool.Pool, error) {
pool, err := pgxpool.New(ctx, dsn)
if err != nil {
return nil, fmt.Errorf("failed to create connection pool: %w", err)
}
if err := pool.Ping(ctx); err != nil {
return nil, fmt.Errorf("failed to ping database: %w", err)
}
return pool, nil
}
Common Errors & Debugging
Error: MessageNotInFlight
- Cause: The consumer attempts to delete a message whose visibility timeout has already expired, or another consumer processed it.
- Fix: Increase
VisibilityTimeoutinReceiveMessageInputto exceed the maximum expected processing duration. Implement a Dead Letter Queue (DLQ) with aRedrivePolicyto capture messages that exceed the maximum receive count. - Code adjustment: Set
VisibilityTimeout: 60if database batch writes exceed 30 seconds.
Error: json: cannot unmarshal object into Go struct field Detail.properties
- Cause: Genesys Cloud payloads contain nested objects or arrays inside the
propertiesmap. Themap[string]interface{}type handles arbitrary JSON, but strict typing failures occur if the struct definition mismatches the payload schema. - Fix: Verify the
EventBridgePayloadstruct matches the actual EventBridge schema. Usejson.RawMessagefor deeply nested fields if strict typing is not required. - Code adjustment: Replace
map[string]interface{}withjson.RawMessageand unmarshal selectively only when filtering requires it.
Error: AWS SDK ThrottlingException (HTTP 429)
- Cause: Exceeding SQS API request limits or network egress thresholds.
- Fix: The SDK retry mode handles transient throttling automatically. If persistent, reduce
MaxNumberOfMessagesto 5 or increase the ticker interval to 200 milliseconds. Implement circuit breaker logic if downstream database latency causes backpressure. - Code adjustment: Add
config.WithRetryMaxAttempts(10)to the SDK config for high-throughput environments.