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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: (1) VisibilityTimeout: 30 is less than the function timeout: 120, so a still-running invocation’s messages become visible and are delivered again; (2) the handler only succeeds or fails the whole batch, so a later processOrder throw (or a timeout mid-batch) redelivers orders that already sent mail. |
| 2 | One bad order stops the whole pipeline | REAL | Every message is published with MessageGroupId: "orders", so FIFO head-of-line blocking applies to all customers in all regions. |
| 3 | Dead-letter queue is always empty | REAL | RedrivePolicy is attached to OrdersDLQ and deadLetterTargetArn is OrdersQueue — the source queue has no redrive policy, so SQS never moves a message to the DLQ. |
Raising reservedConcurrency to 50 fixes none of the three symptoms. FIFO delivers at most one in-flight batch per MessageGroupId (SQS FIFO: messages in a group are not returned again until the in-flight ones are deleted or become visible); with a single group "orders", useful concurrency is already 1 and 48 of those 50 slots sit idle. A poison message still blocks that group, and it still never leaves the queue because the redrive policy is on the wrong resource. Extra reserved concurrency can only worsen symptom 1: once the 30s visibility timeout expires, another invocation is eligible to receive the same group, and the ceiling on how many overlapping processors you can stack on those redeliveries rises from 2 to 50. It does not change visibility, batch acknowledgement, grouping, or redrive.
Symptom 1, cause 1 — serverless.yml
Wrong:
VisibilityTimeout: 30
Replacement:
VisibilityTimeout: 720
Why: Lambda+SQS requires the queue visibility timeout to be at least the function timeout, and documents setting it to six times the function timeout (here 6 × 120 = 720) so a message cannot be delivered to a second invocation while the first is still running.
Symptom 1, cause 2 — serverless.yml and src/consumer.ts
Wrong (serverless.yml):
batchSize: 10
Replacement:
batchSize: 10
functionResponseType: ReportBatchItemFailures
Wrong (src/consumer.ts):
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 });
}
Replacement:
export async function handler(
event: SQSEvent
): Promise<{ batchItemFailures: { itemIdentifier: string }[] }> {
logger.info("batch received", { count: event.Records.length });
const batchItemFailures: { itemIdentifier: string }[] = [];
for (let i = 0; i < event.Records.length; i++) {
const record = event.Records[i] as SQSRecord;
try {
const order = JSON.parse(record.body) as Order;
await processOrder(order);
} catch {
for (let j = i; j < event.Records.length; j++) {
batchItemFailures.push({ itemIdentifier: event.Records[j].messageId });
}
break;
}
}
logger.info("batch complete", { count: event.Records.length });
return { batchItemFailures };
}
Why: without ReportBatchItemFailures, a thrown error (or a timeout after sendConfirmationEmail has already run) returns the entire batch to the queue. Partial batch response deletes only the successes; on FIFO, failing from the first error onward preserves per-group order (Lambda Developer Guide, partial batch responses / FunctionResponseTypes: ReportBatchItemFailures).
Symptom 2 — src/producer.ts
Wrong:
MessageGroupId: "orders",
Replacement:
MessageGroupId: order.id,
Why: finance need ordering per order, which is exactly one group per order.id. Distinct groups do not block each other, so one poison order no longer stalls every customer.
Symptom 3 — serverless.yml
Wrong (this block sits on OrdersDLQ and points at the source queue):
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
Replacement: delete that block from OrdersDLQ. Add it under OrdersQueue with the ARN flipped:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
maxReceiveCount: 5
Why: the redrive policy is set on the source queue and deadLetterTargetArn is the DLQ (SQS Developer Guide, dead-letter queues). After 5 receives, a poison message leaves OrdersQueue instead of being purged by hand.
MessageDeduplicationId: randomUUID() — FIFO’s 5-minute deduplication window never collapses a retried publishOrder call; use a stable id (order id + event type).
await chargeCard(order); — the same redelivery paths that double-send mail will double-charge; the tickets only noticed the email.