Escalate Pingdom incidents to tickets from any page
Use PixieBrix to customize and automate any tool you already use, right in your browser.
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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 Pingdom in the browser
One-click incident creation: extract Pingdom alert details and open a pre-filled Jira, PagerDuty, or ServiceNow ticket without leaving the monitoring dashboard
Overlay customer account context on any Pingdom alert by pulling CRM or database records to instantly see which accounts are impacted
Surface deployment history, recent Git commits, or change-log data alongside a Pingdom check page so engineers diagnose root cause without switching tabs
Automate the manual steps after an alert: post to Slack, create a ticket, and update a status page in one browser action with no backend automation required
Works as a browser extension, so it extends Pingdom without API credentials or engineering effort to maintain webhook infrastructure
AI Copilot in the sidebar can draft incident summaries, post-mortem notes, or customer-facing status updates using live Pingdom alert data
Integrate Pingdom with 3000+ apps
Pingdom frustrations that cost your team hours every week
  • When an alert fires, engineers must manually open Jira, PagerDuty, or Slack in separate tabs to log the incident — no one-click escalation from the Pingdom dashboard
  • Copy-pasting alert details (URL, response time, error code, check region) into incident tickets or post-mortem docs is slow and error-prone
  • No easy way to pull in context from other tools (deployment logs, CRM account info, Git commits) alongside a Pingdom alert to understand root cause faster
  • Incident responders must context-switch between Pingdom, their on-call tool, and their ticketing system to acknowledge, escalate, and document an outage
  • Alert payloads lack business context — engineers manually look up which customers or accounts are affected when a monitored endpoint goes down
  • Custom integrations require API work; teams with no dev resources can't extend Pingdom's default webhook behavior without writing code

Chat with AI to create your first custom workflow

Extract the alert details from this Pingdom page and create a Jira incident ticket with summary, affected URL, status code, and severity
Summarize this Pingdom outage timeline into a brief incident report suitable for a post-mortem document
Given the monitored endpoint shown on this page, ask which CRM I use and look up which accounts depend on this service
Draft a customer-facing status page update based on the current Pingdom alert details and estimated time to resolution
Using the incident data on this Pingdom page, draft a post-mortem outline with timeline, root cause hypothesis, and follow-up action items
Write a Slack escalation message summarizing this Pingdom alert for the on-call team, including check name, downtime duration, and error type

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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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