Monitor RabbitMQ queues and messages from any tab
Use PixieBrix to customize and automate any tool you already use, right in your browser.
3000+ Integrations
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"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Top reasons to automate RabbitMQ in the browser
Overlay queue metrics, runbook links, and on-call owner directly on the RabbitMQ Management UI without switching to Confluence or Notion
One-click action to copy a dead-letter queue message and pre-fill a Jira or GitHub issue, without manual copy-paste across tabs
Pull RabbitMQ queue status into incident or on-call dashboards in real time, surfacing context where engineers are already working
Build reusable sidebar prompts that help engineers look up routing-key configurations or exchange topologies without leaving the Management UI
Unlike Zapier or iPaaS tools, PixieBrix operates in the browser where debugging actually happens. Actions are immediate and in-context, not triggered by background syncs
AI Copilot in the sidebar can interpret queue error messages, suggest triage steps, or draft incident summaries using the content visible on the page
Integrate RabbitMQ with 3000+ apps
RabbitMQ frustrations that cost your team hours every week
  • Constant context switching between the RabbitMQ Management UI, CLI tools, and external dashboards (Grafana, Datadog) to understand queue state
  • No easy way to pull queue metrics or dead-letter queue contents into incident tickets or runbooks without manual copy-paste
  • Developers must tab-switch to documentation or Stack Overflow to look up exchange/routing-key configurations while debugging in the Management UI
  • Creating Jira or GitHub issues from a dead-letter queue message requires manually copying message payloads and metadata between tabs
  • No in-browser shortcut to trigger a purge, republish, or acknowledge action on a queue while reviewing a related incident in another tool
  • Operations teams lack a way to annotate queue pages with team-specific context (runbook links, on-call owner) without custom Forge-style development
  • Repetitive manual effort looking up connection and channel details across the Management UI when triaging consumer lag

Chat with AI to create your first custom workflow

Look at the error message or dead-letter reason on this page and explain what likely caused it and how to fix it
Extract the queue name, message count, and error details from this page and draft a Jira incident ticket with a summary and reproduction steps
Summarize the current state of the queues visible on this page, flagging any that appear to have consumer lag or high dead-letter counts
I'm looking at a RabbitMQ exchange — explain how the routing keys and bindings shown here will route messages to each bound queue
Based on the queue configuration visible on this page, draft a runbook step for on-call engineers describing how to triage a backlog for it
List all consumers shown on this page with their connection details and flag any channels that appear to be idle or stuck

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Frequently Asked Questions

PixieBrix is designed for teams that want to move faster without heavy engineering effort. It is commonly used by support teams, operations teams, product teams, and technical teams who need to connect tools, reduce manual work, and ensure the right information reaches the right people at the right time.

PixieBrix is a browser-based automation platform that lets you customize how the tools you already use work together. It allows teams to add context, automate workflows, and create guided experiences across apps like support tools, internal dashboards, and SaaS products without building or maintaining custom integrations.

PixieBrix works by layering automation directly into the browser. It can read data from the page you are viewing, connect to APIs, and trigger actions like sending messages, filling forms, or enriching data in real time. This lets teams automate workflows exactly where work is already happening.

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