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You are the engineer on call. Two tickets have come in against the order pipeline — an SQS FIFO queue feeding a Lambda consumer — plus one theory from the platform team.
Your job is triage and a minimal fix — not a rewrite.
OPS-882 — opened by Ama (Support)
Customers are getting their order confirmation email twice.
On a normal quiet day it is maybe one order in fifty. Nobody would have noticed except one of them replied to complain.
On a bad day it is not one in fifty. Tuesday morning we sent just over 400 confirmation emails for 51 orders. Tuesday was also the morning the payments provider was flapping, if that is relevant.
OPS-884 — opened by Dev (Ops)
When one order jams, everything stops. Not that customer's orders — everything, for every customer, in every region, until somebody goes into the console and purges the message by hand. We did it twice last week.
Second thing, and I do not understand it: our dead-letter queue has never had a single message in it. Not one, since we deployed in March. Orders definitely fail. Where are they going?
Comment on OPS-884 from Marcus (Platform), yesterday
This is a concurrency ceiling, nothing more. We have
reservedConcurrency: 2on the consumer, which is absurd for a queue this size. Take it to 50 and both of these tickets go away — the backlog will clear faster than a jam can build up. I can raise the PR this afternoon.
serverless.yml (the parts that matter):
service: order-pipeline
provider:
name: aws
runtime: nodejs22.x
region: eu-west-1
functions:
consumeOrders:
handler: src/consumer.handler
timeout: 120
memorySize: 1024
reservedConcurrency: 2
events:
- sqs:
arn: !GetAtt OrdersQueue.Arn
batchSize: 10
resources:
Resources:
OrdersQueue:
Type: AWS::SQS::Queue
Properties:
QueueName: orders.fifo
FifoQueue: true
ContentBasedDeduplication: false
VisibilityTimeout: 30
MessageRetentionPeriod: 345600
OrdersDLQ:
Type: AWS::SQS::Queue
Properties:
QueueName: orders-dlq.fifo
FifoQueue: true
MessageRetentionPeriod: 1209600
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
src/producer.ts:
import { SQSClient, SendMessageCommand } from "@aws-sdk/client-sqs";
import { randomUUID } from "node:crypto";
import type { Order } from "./types";
const sqs = new SQSClient({});
const QUEUE_URL = process.env.ORDERS_QUEUE_URL!;
/**
* Publish an order for downstream processing. FIFO, because finance need
* an order's events to arrive in the order they happened.
*/
export async function publishOrder(order: Order): Promise<void> {
await sqs.send(
new SendMessageCommand({
QueueUrl: QUEUE_URL,
MessageBody: JSON.stringify(order),
MessageGroupId: "orders",
MessageDeduplicationId: randomUUID(),
})
);
}
src/consumer.ts:
import type { SQSEvent, SQSRecord } from "aws-lambda";
import { chargeCard } from "./payments";
import { reserveStock } from "./inventory";
import { sendConfirmationEmail } from "./email";
import { logger } from "./logger";
import type { Order } from "./types";
/**
* One order, end to end. Typically 400ms–1.5s. The payment provider's p99 is a
* lot worse than that — several seconds — and reserveStock retries internally.
*/
async function processOrder(order: Order): Promise<void> {
await chargeCard(order);
await reserveStock(order);
await sendConfirmationEmail(order);
logger.info("order processed", { orderId: order.id });
}
export async function handler(event: SQSEvent): Promise<void> {
logger.info("batch received", { count: event.Records.length });
for (const record of event.Records as SQSRecord[]) {
const order = JSON.parse(record.body) as Order;
await processOrder(order);
}
logger.info("batch complete", { count: event.Records.length });
}
A table, one row per reported symptom. There are three — treat the empty dead-letter queue as its own row.
| # | Symptom | Verdict | Cause |
|---|---|---|---|
| 1 | Duplicate confirmation emails | ||
| 2 | One bad order stops the whole pipeline | ||
| 3 | Dead-letter queue is always empty |
Verdict is exactly one of REAL or NOT A BUG. Cause is one line. If a symptom has more than one independent cause in this configuration, say so and name each — one of these does, and a single cause is a partial answer.
One paragraph on Marcus's concurrency proposal. Would raising reservedConcurrency to 50 change any of the three symptoms? Be specific about the mechanism, not the intent.
For each symptom you marked REAL:
Do not give me the whole file back. Minimal changes, reviewable in a diff.
At most two further defects nobody has reported, each one you can quote a line for.
If there is nothing else worth raising, write exactly Nothing else.
Every claim should be checkable against the files above or against documented AWS behaviour you can state precisely. If a fix depends on a specific documented rule about how these services interact, give the rule and the number — I am going to look it up. A confident diagnosis of a problem this configuration does not have costs you more than missing one it does.
| # | Symptom | Verdict | Cause |
|---|---|---|---|
| 1 | Duplicate confirmation emails | REAL | Two causes: (1) VisibilityTimeout: 30 is lower than Lambda timeout: 120, causing SQS to re-deliver in-flight messages when calls run long; (2) failing a later message in a batchSize: 10 batch throws an unhandled error, rewinding and re-executing earlier successful messages. |
| 2 | One bad order stops the whole pipeline | REAL | All messages use the same static MessageGroupId: "orders", forcing strict head-of-line FIFO serialization across all customers globally. |
| 3 | Dead-letter queue is always empty | REAL | RedrivePolicy was placed under OrdersDLQ pointing to OrdersQueue, leaving OrdersQueue with no dead-letter queue configured. |
Marcus is mistaken. For SQS FIFO event sources, Lambda concurrency is strictly bounded by the number of distinct active MessageGroupId values in the queue (AWS Lambda Developer Guide: Scaling and concurrency for FIFO queues). Because producer.ts hardcodes MessageGroupId: "orders", SQS will only ever deliver to 1 concurrent Lambda execution at a time, regardless of what reservedConcurrency is set to. Raising it to 50 will allocate unused headroom and resolve none of the three issues.
AWS documentation specifies that an SQS queue's VisibilityTimeout must be at least 6 times the consumer Lambda function's timeout (6 × 120s = 720s) to prevent concurrent reprocessing of in-flight batches.
serverless.yml:
<<<<
VisibilityTimeout: 30
====
VisibilityTimeout: 720
>>>>
Prevents SQS from re-delivering in-flight messages to another consumer while slow payment calls are still executing within Lambda's 120s timeout window.
src/producer.ts:
<<<<
MessageGroupId: "orders",
====
MessageGroupId: order.id,
>>>>
Scopes FIFO ordering to individual orders (or per-customer) so a failing or retrying order only blocks its own sequence instead of halting the entire queue.
serverless.yml:
<<<<
OrdersQueue:
Type: AWS::SQS::Queue
Properties:
QueueName: orders.fifo
FifoQueue: true
ContentBasedDeduplication: false
VisibilityTimeout: 30
MessageRetentionPeriod: 345600
OrdersDLQ:
Type: AWS::SQS::Queue
Properties:
QueueName: orders-dlq.fifo
FifoQueue: true
MessageRetentionPeriod: 1209600
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
====
OrdersQueue:
Type: AWS::SQS::Queue
Properties:
QueueName: orders.fifo
FifoQueue: true
ContentBasedDeduplication: false
VisibilityTimeout: 720
MessageRetentionPeriod: 345600
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
maxReceiveCount: 5
OrdersDLQ:
Type: AWS::SQS::Queue
Properties:
QueueName: orders-dlq.fifo
FifoQueue: true
MessageRetentionPeriod: 1209600
>>>>
Attaches the redrive policy to the source queue pointing to OrdersDLQ.Arn so failed messages divert to the DLQ after 5 receives.
Producer generates non-idempotent deduplication IDs:
In src/producer.ts:
MessageDeduplicationId: randomUUID(),
Generating a new UUID on every call disables SQS FIFO's 5-minute deduplication window during producer-side retries. It should be deterministic (e.g., MessageDeduplicationId: order.id or order.id + "-" + order.version).
Missing partial batch failure handling:
In serverless.yml:
events:
- sqs:
arn: !GetAtt OrdersQueue.Arn
batchSize: 10
Without functionResponseType: ReportBatchItemFailures configured on the event source mapping and returning batchItemFailures in src/consumer.ts, any error in a batch will cause all 10 messages to be re-received and reprocessed.