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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 | VisibilityTimeout < max processing time causes premature re-delivery AND no partial batch failure handling causes whole batch to be retried |
| 2 | One bad order stops the whole pipeline | REAL | All messages use MessageGroupId: "orders" so FIFO serialises the whole queue; a poison message blocks the single group |
| 3 | Dead-letter queue is always empty | REAL | RedrivePolicy is defined on the DLQ resource pointing back to the source queue instead of on the source queue pointing to the DLQ |
Raising reservedConcurrency to 50 does not change any of the three symptoms. FIFO limits in-flight messages to one per MessageGroupId; with a single group orders the effective concurrency is 1 regardless of Lambda concurrency. Higher concurrency would increase the chance of overlapping deliveries because VisibilityTimeout: 30 is < Lambda timeout: 120, worsening duplicates, and it does not fix the misplaced RedrivePolicy or the head-of-line blocking.
Symptom 1 – duplicate emails – visibility timeout
File serverless.yml
Wrong:
VisibilityTimeout: 30
Replacement:
VisibilityTimeout: 180
Why: SQS visibility must be > Lambda execution time. With 30s visibility a message can become visible again while the Lambda is still running, causing duplicate delivery.
Symptom 1 – duplicate emails – partial batch failure
File src/consumer.ts
Wrong:
for (const record of event.Records as SQSRecord[]) {
const order = JSON.parse(record.body) as Order;
await processOrder(order);
}
Replacement:
const batchItemFailures: { itemIdentifier: string }[] = [];
for (const record of event.Records as SQSRecord[]) {
try {
const order = JSON.parse(record.body) as Order;
await processOrder(order);
} catch {
batchItemFailures.push({ itemIdentifier: record.messageId });
}
}
return { batchItemFailures };
Why: Returning batchItemFailures acknowledges only successful records. Without it a single failure fails the whole Lambda invocation and the entire batch is redelivered.
Symptom 2 – pipeline stall
File src/producer.ts
Wrong:
MessageGroupId: "orders",
Replacement:
MessageGroupId: order.id,
Why: A distinct group per order removes FIFO head-of-line blocking across customers; a poison message can no longer block all subsequent messages.
Symptom 3 – empty DLQ
File serverless.yml
Wrong under OrdersDLQ:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
Replacement: Remove RedrivePolicy from OrdersDLQ and add to OrdersQueue Properties:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
maxReceiveCount: 5
Why: SQS evaluates RedrivePolicy on the source queue only. With the policy on the source queue pointing to the DLQ, messages exceeding maxReceiveCount are moved to the DLQ.
Producer defeats FIFO deduplication.
File src/producer.ts
MessageDeduplicationId: randomUUID(),
With ContentBasedDeduplication: false a random deduplication id means a producer retry creates a new, distinct message instead of being de-duplicated.
Batch processing is sequential and non-idempotent.
File src/consumer.ts
await processOrder(order); inside a serial for loop.
Sequential awaits make batch latency sum and increase the chance of exceeding visibility timeout; sendConfirmationEmail is called without an idempotency key so a retry will email the customer again.