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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 function timeout, so SQS re-delivers a batch while Lambda is still processing it (Lambda does not extend visibility timeout for SQS sources); (b) the handler has no partial-batch failure handling, so any failure re-runs the entire batch, re-charging and re-emailing orders that already succeeded. |
| 2 | One bad order stops the whole pipeline | REAL | Two independent causes: (a) every message uses MessageGroupId: "orders", so the entire queue is one FIFO group — strict head-of-line blocking for all customers/regions; (b) an unhandled throw fails the whole batch, which is retried forever (maxReceiveCount never reached because the DLQ is misconfigured — see #3). |
| 3 | Dead-letter queue is always empty | REAL | The RedrivePolicy on OrdersQueue points deadLetterTargetArn at OrdersQueue itself, not OrdersDLQ — "failed" messages redrive back into the live queue, so the DLQ can never receive anything. |
Marcus's fix would change nothing. Lambda's SQS event source mapping scales FIFO processing per message group: with a single MessageGroupId on every message, Lambda processes one message at a time from that group regardless of reservedConcurrency — the extra 48 slots sit idle. So the backlog cannot clear faster, symptom 2's head-of-line blocking is untouched, and symptom 1's duplicate mechanisms (visibility timeout, whole-batch retry) are untouched. The DLQ misconfiguration is also untouched. It's a plausible-sounding change that addresses none of the three mechanisms.
Symptom 1a — visibility timeout shorter than function timeout
serverless.yml:
VisibilityTimeout: 30
→
VisibilityTimeout: 720
AWS's documented guidance (Lambda Developer Guide, "SQS event source mapping" / SQS docs) is to set the queue's visibility timeout to 6× the function timeout (6 × 120s = 720s) so a batch is never re-delivered mid-flight.
Symptom 1b / 2b — no partial batch failure handling
serverless.yml, inside the sqs event:
batchSize: 10
→
batchSize: 10
functionResponseTypes:
- ReportBatchItemFailures
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 });
}
→
export async function handler(event: SQSEvent): Promise<{ batchItemFailures: { itemIdentifier: string }[] }> {
logger.info("batch received", { count: event.Records.length });
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 (err) {
logger.error("order failed", { messageId: record.messageId, err });
batchItemFailures.push({ itemIdentifier: record.messageId });
}
}
logger.info("batch complete", { count: event.Records.length, failed: batchItemFailures.length });
return { batchItemFailures };
}
Only the failed message is retried; succeeded orders are never re-processed, and one bad order no longer blocks the batch.
Symptom 2a — single message group
src/producer.ts:
MessageGroupId: "orders",
→
MessageGroupId: order.id,
The stated requirement is ordering within an order's events, not across all orders — grouping by order id gives per-order FIFO while unblocking the pipeline (and lets Lambda scale across groups, incidentally making Marcus's concurrency change useful).
Symptom 3 — DLQ redrives into itself
serverless.yml:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
→
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
After 5 receives, messages now land in the DLQ instead of looping back into the live queue.
src/producer.ts:
MessageDeduplicationId: randomUUID(),
With ContentBasedDeduplication: false and a fresh UUID per send, deduplication can never match anything — it's dead configuration. Either set ContentBasedDeduplication: true and drop the line, or derive the ID from a stable business key (e.g. the order id) if producer-side retries should be deduped.