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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: VisibilityTimeout: 30 violates the FIFO rule requiring visibility timeout ≥ 2 × Lambda timeout (2 × 120 = 240), and batchSize: 10 with the fail-fast handler causes already-processed messages in the same batch to be redelivered when a later message fails. |
| 2 | One bad order stops the whole pipeline | REAL | All messages share MessageGroupId: "orders", so FIFO group locking creates head-of-line blocking: one poison message blocks every later message in that group. |
| 3 | Dead-letter queue is always empty | REAL | The RedrivePolicy is attached to OrdersDLQ (targeting OrdersQueue) instead of to the source OrdersQueue, so the source queue never redrives messages to the DLQ. |
Marcus’s proposal would not fix any of the three symptoms, and it could make duplicate emails worse. reservedConcurrency only caps Lambda concurrent executions; it does not override SQS FIFO group locks, visibility timeouts, or queue redrive policies. With every message in the single group orders, the effective concurrency for that queue is already one, so raising Lambda concurrency from 2 to 50 cannot process the next message while the poison message is in flight. For duplicates, the 30-second visibility timeout is shorter than the 120-second function timeout, so a message can become visible while an invocation is still running; more concurrent executions increase the chance another instance reprocesses it. The empty DLQ is a queue-resource misconfiguration and is unrelated to Lambda concurrency.
Symptom 1: duplicate confirmation emails — cause A: visibility timeout too short
Wrong line in serverless.yml:
VisibilityTimeout: 30
Exact replacement:
VisibilityTimeout: 240
Why: AWS requires FIFO visibility timeout to be at least 2 × the maximum Lambda timeout; 2 × 120 = 240, so the message cannot become visible while the invocation is still running.
Symptom 1: duplicate confirmation emails — cause B: FIFO batch size / whole-batch retry
Wrong line in serverless.yml:
batchSize: 10
Exact replacement:
batchSize: 1
Why: AWS requires batchSize: 1 for FIFO event source mappings; with one record per invocation, a failure cannot redeliver already processed records from the same batch.
Symptom 2: one bad order stops the whole pipeline
Wrong line in src/producer.ts:
MessageGroupId: "orders",
Exact replacement:
MessageGroupId: order.id,
Why: FIFO group locks are per MessageGroupId; using the order ID preserves per-order ordering while isolating head-of-line blocking to one order instead of the entire queue.
Symptom 3: dead-letter queue is always empty
Wrong lines in serverless.yml, under OrdersDLQ:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
Exact replacement: remove that block from OrdersDLQ, and add this block to OrdersQueue under Properties:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
maxReceiveCount: 5
Why: SQS moves messages to a DLQ only when the source queue has a RedrivePolicy pointing at the DLQ; the current policy is on the DLQ and points back to the source.
serverless.yml: ContentBasedDeduplication: false
and in src/producer.ts:
MessageDeduplicationId: randomUUID(),
FIFO duplicate suppression is effectively disabled for logical retries: each send gets a new dedup ID, so a producer retry of the same order can create a second queue message. This is not the evidenced cause of the Tuesday batch storm, but it is a latent duplicate-message defect.