Connect cloud consoles and tools for cloud engineers
Use PixieBrix to customize and automate any tool you already use, right in your browser.
3000+ Integrations
AI Automation
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Trusted by Individuals and Enterprises

"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 in the browser
Surface alert details, resource IDs, and error context from monitoring tools in a sidebar while working in cloud consoles, eliminating tab switching during incidents
Create Jira tickets or Slack messages from any cloud console page with pre-filled resource details, alert summaries, and environment tags
Pull runbook steps from your wiki directly into an overlay on the cloud console page so you never lose your troubleshooting context
Auto-populate post-incident reports by extracting timeline data, alert details, and affected resources from monitoring dashboards
AI Copilot in the sidebar can summarize alerts, explain error messages, or draft incident updates from the current console page
Build reusable incident response workflows your team can share without writing custom scripts or waiting for platform engineering
Integrate with 3000+ apps
Frustrations that cost your team hours every week
  • Managing dozens of browser tabs across AWS, Azure, and GCP consoles, each with separate region and account contexts, leading to constant tab switching and lost orientation
  • Manually copying resource IDs, error messages, and alert details from monitoring dashboards into Jira tickets or incident channels
  • Toggling between PagerDuty alerts, Datadog dashboards, and cloud consoles during incident response with no way to surface context from one tool inside another
  • Creating post-incident tickets requires switching between the monitoring tool, runbook wiki, and issue tracker to copy relevant details into each field
  • No quick way to pull deployment status or pipeline results from CI/CD dashboards into status updates or Slack messages without manual copy-paste
  • Cross-referencing infrastructure costs in the cloud billing console against resource tags in a spreadsheet requires flipping between tabs and manually matching entries
  • Searching for runbooks or documentation in Confluence while troubleshooting in a cloud console means losing context every time you switch tabs

Chat with AI to create your first custom workflow

Extract the alert details and affected resources from this monitoring page and create a ticket in my issue tracker
Find the runbook for this service in my wiki and display the troubleshooting steps in the sidebar
Summarize this alert including severity, affected resources, and recent changes from the deployment log
Compile the timeline and current status from this incident page and draft a status update for the team channel
Pull the cost allocation tags for this resource from my cloud billing console and display them in the sidebar
Extract the incident timeline, root cause, and action items from this page and format them for a post-mortem doc

Watch PixieBrix in action

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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