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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 independent causes: (a) VisibilityTimeout: 30 is shorter than the 120s Lambda timeout, so SQS can redeliver a message while the original invocation is still running; (b) the handler has no per-record failure isolation, so one failed order makes the whole batch fail and all already-emailed orders in that batch are reprocessed. |
| 2 | One bad order stops the whole pipeline | REAL | All messages use MessageGroupId: "orders", so the FIFO queue is one group and SQS withholds later messages in that group while an earlier message is in flight/not deleted; one stuck order blocks all orders (the empty-DLQ defect below is why it is not auto-removed). |
| 3 | Dead-letter queue is always empty | REAL | RedrivePolicy is on OrdersDLQ and points to OrdersQueue, so OrdersQueue has no redrive policy to OrdersDLQ; failed messages are never moved to the DLQ. |
Marcus's change would not fix any of the three symptoms. reservedConcurrency only controls how many Lambda invocations may run at once; it does not change SQS FIFO ordering, so with every message in group orders, SQS will not release later messages in that group while an earlier one is in flight, and 50 consumers still cannot process the jammed group in parallel. It also does not change the 30s visibility timeout versus the 120s function timeout, so messages can still be redelivered while an invocation is still running; more concurrency can only give more invocations to receive those redelivered copies. It does not change the redrive policy either, so OrdersQueue still has no policy sending failed messages to OrdersDLQ. Raising concurrency may reduce ordinary backlog latency, but the duplicate emails, global jam, and empty DLQ remain.
1. Duplicate confirmation emails
serverless.yml
Wrong:
VisibilityTimeout: 30
Replace with:
VisibilityTimeout: 150
Why: the visibility timeout is now longer than the 120s Lambda timeout, so SQS does not redeliver a message while the original invocation can still be running.
src/consumer.ts
Wrong:
import type { SQSEvent, SQSRecord } from "aws-lambda";
Replace with:
import type { Context, SQSEvent, SQSRecord } from "aws-lambda";
Wrong:
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:
export async function handler(event: SQSEvent, context: Context): Promise<void> {
logger.info("batch received", { count: event.Records.length });
const failedItemIds: string[] = [];
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", { recordId: record.messageId, err });
failedItemIds.push(record.messageId);
}
}
if (failedItemIds.length > 0) {
context.reportBatchItemFailures({ failedItemIds });
}
logger.info("batch complete", { count: event.Records.length, failed: failedItemIds.length });
}
Why: successful records are deleted individually, while failed records are retried/DLQ-eligible without reprocessing already-emailed orders in the same batch.
2. One bad order stops the whole pipeline
src/producer.ts
Wrong:
MessageGroupId: "orders",
Replace with:
MessageGroupId: String(order.id),
Why: FIFO ordering is now per order, so a stuck order blocks only its own message group instead of the entire queue.
3. Dead-letter queue is always empty
serverless.yml
Wrong, under OrdersDLQ.Properties:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
Replace by removing that block from OrdersDLQ.Properties and adding this to OrdersQueue.Properties:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
maxReceiveCount: 5
Why: the redrive policy belongs on the source queue; with maxReceiveCount: 5, OrdersQueue will move a message to OrdersDLQ after five receives from the source queue.
src/producer.ts:
MessageDeduplicationId: randomUUID(),
With ContentBasedDeduplication: false, every send has a unique deduplication ID, so duplicate publishes of the same order are not suppressed by the FIFO 5-minute deduplication window.
serverless.yml:
batchSize: 10
The handler processes records sequentially, so a slow batch can exceed timeout: 120; reduce the batch size or raise the timeout.