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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 | Three independent causes: (a) MessageDeduplicationId: randomUUID() makes repeated sends of the same order un-deduplicable; (b) the Lambda batch is all-or-nothing, so one failed record causes already-processed records in the same batch to be redelivered and re-emailed; (c) VisibilityTimeout: 30 is below the Lambda timeout of 120, so a slow processOrder can be redelivered while the first invocation is still running. |
| 2 | One bad order stops the whole pipeline | REAL | Two independent causes: (a) every message uses MessageGroupId: "orders", so all orders share one FIFO group and a blocked/poison message blocks that whole group; (b) the source queue has no RedrivePolicy, so the poison message is never moved out of the group. |
| 3 | Dead-letter queue is always empty | REAL | The RedrivePolicy is attached to OrdersDLQ targeting OrdersQueue, instead of on OrdersQueue targeting OrdersDLQ, so source-queue messages never move to the DLQ. |
Marcus’s concurrency proposal would not fix any of the three symptoms. The queue is FIFO and every message is sent with MessageGroupId: "orders"; SQS FIFO does not provide additional messages from a message group while an earlier message from that group is in-flight. That single group serializes work, so the extra reserved capacity would sit idle. Duplicate emails come from redelivery/dedup and batch all-or-nothing behaviour, not from lacking concurrency. DLQ emptiness comes from the redrive policy being on the wrong queue. Raising reservedConcurrency: 50 would only be relevant after the group-id and redrive fixes, and it cannot close these tickets by itself.
Symptom 1 — duplicate confirmation emails
src/producer.tsQuote:
import { randomUUID } from "node:crypto";
and:
MessageDeduplicationId: randomUUID(),
Replace the dedup line with:
MessageDeduplicationId: order.id,
Remove the now-unused randomUUID import.
Why: SQS FIFO deduplicates by MessageDeduplicationId within the documented 5-minute deduplication window. A deterministic order ID means retried sends of the same order do not create another message.
src/consumer.tsQuote:
import type { SQSEvent, SQSRecord } from "aws-lambda";
and:
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 });
}
Replace with:
import type { SQSEvent, SQSRecord, SQSBatchResponse } from "aws-lambda";
and:
export async function handler(event: SQSEvent): Promise<SQSBatchResponse> {
logger.info("batch received", { count: event.Records.length });
const batchItemFailures: SQSBatchResponse["batchItemFailures"] = [];
for (const record of event.Records as SQSRecord[]) {
try {
const order = JSON.parse(record.body) as Order;
await processOrder(order);
} catch (err) {
logger.error("order failed", { messageId: record.messageId, err });
batchItemFailures.push({ itemIdentifier: record.messageId });
}
}
logger.info("batch complete", { count: event.Records.length });
return { batchItemFailures };
}
Why: SQS Lambda supports partial batch failures. Only the reported messageIds are left to retry; the already-successful records in the batch are deleted, so a later failure does not replay and re-email earlier orders.
serverless.ymlQuote:
VisibilityTimeout: 30
Replace with:
VisibilityTimeout: 180
Why: SQS hides a message for the visibility timeout and then makes it visible again if not deleted. Since the Lambda can run for 120 seconds, 30 seconds is too short and allows redelivery while the first invocation is still processing.
Symptom 2 — one bad order stops the whole pipeline
src/producer.tsQuote:
MessageGroupId: "orders",
Replace with:
MessageGroupId: order.id,
Why: FIFO ordering is per message group. A per-order group means a failing order only blocks that order’s group, not every order in the queue.
serverless.yml, under OrdersQueueQuote:
MessageRetentionPeriod: 345600
Replace with:
MessageRetentionPeriod: 345600
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
maxReceiveCount: 5
Why: A source queue’s RedrivePolicy moves a message to its DLQ after maxReceiveCount receives. A poison order is then set aside automatically instead of blocking its group until someone purges it manually.
Symptom 3 — dead-letter queue is always empty
serverless.yml, under OrdersDLQ
Quote:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
Replace with: remove those three lines from OrdersDLQ; the correct policy is added to OrdersQueue as above.
Why: RedrivePolicy belongs on the source queue, and deadLetterTargetArn must point at the DLQ. The current config does the reverse, so the real source queue never moves failed messages to the DLQ.
Nothing else.