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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() — every publish gets a fresh dedup ID, so producer retries (e.g. payments flapping Tuesday) are never deduplicated. (b) VisibilityTimeout: 30 on a function with timeout: 120 — the message reappears while the first invocation is still running and is delivered again. (c) No partial batch failure reporting — one failed record in a batch of 10 re-delivers the whole batch, re-emailing the orders that already succeeded. |
| 2 | One bad order stops the whole pipeline | REAL | OrdersQueue has no RedrivePolicy, so a poison message is retried forever; and since every order uses MessageGroupId: "orders", FIFO ordering means that one message blocks the entire (single) group — i.e. all orders. |
| 3 | Dead-letter queue is always empty | REAL | The RedrivePolicy is attached to OrdersDLQ itself (pointing back at OrdersQueue), not to OrdersQueue. Nothing ever redrives to the DLQ, so it can never receive a message. |
Marcus's proposal changes nothing. For FIFO queues, Lambda's event source scales concurrency per message group, not per function reservation: with a single MessageGroupId: "orders", only one consumer executes at a time no matter what reservedConcurrency says — the ceiling of 2 is not the binding constraint, the single group is. Raising it to 50 would not clear the backlog faster, would not stop a poison message from blocking the group (symptom 2), would not populate the DLQ (symptom 3), and would not stop duplicates (symptom 1), whose causes are the random dedup ID, the visibility timeout shorter than the function timeout, and whole-batch redelivery. The PR is a no-op dressed as a fix.
Symptom 1a — dedup ID (src/producer.ts)
Wrong:
MessageDeduplicationId: randomUUID(),
Replacement:
MessageDeduplicationId: order.id,
A dedup ID must be deterministic per logical message for FIFO dedup (5-minute window) to suppress producer retries; order.id is stable, randomUUID() never is.
Symptom 1b — visibility timeout (serverless.yml, OrdersQueue)
Wrong:
VisibilityTimeout: 30
Replacement:
VisibilityTimeout: 720
AWS's documented rule: the queue's visibility timeout should be at least 6× the function timeout (Lambda sets it to 6× timeout itself when it manages the source; here it's overridden to 30s). 30s < 120s guarantees redelivery of in-flight messages.
Symptom 1c — partial batch failures (src/consumer.ts)
Wrong (the handler returns nothing on failure, so the whole batch is retried):
for (const record of event.Records as SQSERecord[]) {
const order = JSON.parse(record.body) as Order;
await processOrder(order);
}
Replacement (report per-record failures):
const failures: string[] = [];
for (const record of event.Records as SQSERecord[]) {
try {
const order = JSON.parse(record.body) as Order;
await processOrder(order);
} catch (err) {
logger.error("record failed", { messageId: record.messageId, err });
failures.push(record.messageId);
}
}
return { batchItemFailures: failures.map(id => ({ itemIdentifier: id })) };
With FunctionResponseTypes: ReportBatchItemFailures on the event source, only failed records are redelivered, so succeeded orders aren't re-emailed. (Handler return type becomes Promise<BatchItemFailures>; add maximumRetryAttempts/redrive below to bound retries.)
Symptoms 2 & 3 — redrive policy on the wrong queue (serverless.yml)
Wrong (on OrdersDLQ):
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersQueue.Arn
maxReceiveCount: 5
Replacement — remove those three lines from OrdersDLQ, and add to OrdersQueue:
RedrivePolicy:
deadLetterTargetArn: !GetAtt OrdersDLQ.Arn
maxReceiveCount: 5
A RedrivePolicy belongs on the source queue and points at its DLQ; as written, the main queue has no redrive (poison messages loop forever, symptom 2) and the DLQ can never receive anything (symptom 3). One change fixes both.
MessageGroupId: "orders" in src/producer.ts means FIFO guarantees are per-group, so all orders process strictly one at a time — this, not reservedConcurrency: 2, is the real throughput ceiling. If finance only needs ordering per order, use MessageGroupId: order.id (with per-order dedup IDs already fixed above).JSON.parse(record.body) with no validation in src/consumer.ts — a malformed body throws, and combined with the (now-fixed) redrive policy it will burn all 5 receives and dead-letter; fine after the fix, but worth a guard so junk is logged and skipped rather than retried.