Turn an alarm into a message to customers, and conversation volume into a metric.

Get more done with Tidio and AWS CloudFront integration
When the edge starts failing, say so in chat before the complaints arrive.
No credit card required
Integration availability depends on your Tidio plan.
Category
Integration availability depends on your Tidio plan.
Use cases
What you can do with Tidio and AWS CloudFront
Explain the outage first
An AWS CloudFront error spike can start the Tidio notice that tells visitors what is happening, which is cheaper than answering it fifty times.
Give agents the real status
Distribution and cache metrics can reach the conversation, so support knows a slow page is a delivery problem.
Report the customer impact
Conversation volume from Tidio during the incident gives your engineers a number rather than an impression.
Overview
AWS CloudFront serves your site from the edge, so when its error rate climbs or a cache goes stale, customers feel it before anyone reads a dashboard. Connect it to Tidio and the gap closes: an error spike can trigger the message that explains what is happening, agents can see there is a delivery problem rather than blaming a browser, and the volume of chats during an incident becomes a measure of who it actually reached.
Key features
- Warn customers about an incident when error rates at the edge start climbing
- Tell agents what is broken so nobody debugs a customer's connection for nothing
- Measure who was affected with the conversations an incident produced
- Say when it is fixed to the people who wrote in while it was not

AWS CloudFront
API
Tags
Custom Integration
Workflow Automation
How it works
Connect AWS CloudFront in minutes
1
Connect Tidio and AWS CloudFront
Link the two with Zapier or the Tidio API, reading the metrics your account already publishes.
2
Set the threshold that speaks
Decide which error rate or cache condition is worth telling customers about.
3
Handle the incident in one place
Customers hear early, agents know why, and the chat volume records the impact.
Discover more integrations
Start the chat with the signed-in user already identified, and act on their account safely.
Stream conversation events into the pipeline the rest of your data already flows through.
Run your own code on a conversation and send the answer back into the chat.
Keep transcripts and the files customers send where the rest of your data lives.
Queue chat events so the systems that react to them never miss one.
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Frequently asked questions





