Dead letter queue management for teams that don't want to lose data

Debug, trace, and safely replay messages in Kafka, SQS, and RabbitMQ — without SSH to prod and endless log grepping.

app.asyncops.dev / dashboard

In queue

127

awaiting processing

Resolved today

89

of 94 attempts

Brokers

3

Kafka · SQS · RMQ

Avg MTTR

4.2 min

last 7 days

orders.payment.dlqpending
users.notification.dlqreplayed
inventory.sync.dlqresolved
analytics.events.dlqpending
billing.webhook.dlqreplayed
01

Find

See all DLQ messages across all brokers in one place. Payload, headers, attempts, history.

02

Analyze

AI classifies the root cause in seconds: schema mismatch, timeout, poison pill. Full message path trace.

03

Replay

One-click replay to the original topic or a test environment. Diff between attempts. Every action is logged.

Why not the alternatives?

AsyncOpsConduktorDatadog DSMDIY Scripts
Multi-broker (Kafka + SQS + RMQ)Kafka onlySQS onlyMaybe
AI root cause analysis
One-click replayEnterpriseManual
Message tracingPartial
PriceFrom $0From $19K/yrIncluded*Free but costly

* Included in Datadog platform ($$$)

Trusted by engineering teams at

MonzoStripeDatadogRevolutWiseShopify

We went from 4-hour DLQ debugging sessions to 5-minute fixes. AsyncOps pays for itself.

Sarah Chen

Staff SRE at Monzo

Finally, a tool that understands the DLQ problem. The AI root cause analysis alone saves us hours every week.

Marcus Weber

Platform Lead at Revolut

Our oncall engineers love it. No more SSH to prod to figure out why messages are stuck.

Priya Sharma

VP Engineering at Wise

Features

What's included

Message tracing

Full path of every message: which service sent it, where it was processed, exactly where it broke. With timestamps and attempt history.

AI root cause analysis

Automatic classification — schema mismatch, timeout, poison pill, handler error. Explained in plain language without digging through stack traces.

Safe replay

Replay to the original topic or a test environment. Diff between attempts. Duplicate control. Rollback if needed.

Alerts

Notifications on DLQ spikes. Slack, PagerDuty, email. Thresholds by topic, broker, or error type.

Multi-broker

Kafka, SQS, RabbitMQ in one interface. Read-only connection — no code or infrastructure changes needed.

Action audit

Every replay, every status change — who, what, when. Immutable log. SOC2 ready.

Pricing

No hidden conditions

Free

$0forever

For small teams and personal projects

Get started
  • 1 broker connection
  • Up to 1,000 messages/month
  • Basic error classification
  • 7-day retention
  • Email support

Pro

$299/month

For teams with real async workloads

14-day free trial
  • Unlimited connections
  • Up to 100,000 messages/month
  • AI root cause analysis
  • 90-day retention
  • Slack, PagerDuty alerts
  • Custom replay rules
  • SSO / SAML
  • Priority support

FAQ

Common questions

They route failed messages to DLQ topics — but that's where their help ends. You still need to find the message, understand why it failed, and figure out how to replay it. That's manual work: SSH to prod, grep logs, write scripts. AsyncOps automates all of it.

Conduktor is Kafka-only and costs $19K+/year — DLQ management is buried in their Enterprise tier. Datadog monitors SQS dead letter queues but can't replay messages across brokers. AsyncOps is the only tool focused entirely on DLQ management across Kafka, SQS, and RabbitMQ.

No. AsyncOps connects read-only to your existing brokers. No sidecars, no agents, no code changes. Point it at your cluster and start seeing DLQ messages in 5 minutes.

AsyncOps never stores your message payloads permanently. We process them in memory for classification and display. All connections are encrypted. SOC2 compliance report available on Pro plan.

Yes, on Enterprise plan. We provide Docker images and Helm charts. Contact us for details.