When the edge starts failing, say so in chat before the complaints arrive.

Get more done with Tidio and AWS CloudWatch integration
Turn an alarm into a message to customers, and conversation volume into a metric.
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 CloudWatch
Warn customers from an alarm
An AWS CloudWatch alarm can trigger the Tidio message that explains a problem, which turns a wave of tickets into one announcement.
Put support on the dashboard
Conversation counts from Tidio can be published as AWS CloudWatch custom metrics, so a spike in chats is visible next to latency.
Stop blind troubleshooting
Current alarm states reach the Tidio conversation, so an agent knows the fault is real and already being worked on.
Overview
AWS CloudWatch holds the alarms, metrics and logs for everything you run on AWS. Connect it to Tidio and monitoring reaches the people it is about: an alarm can start the message that warns customers, agents can see the incident instead of troubleshooting it blind, and the volume of conversations can be published back as a metric that sits on the same dashboard as the rest.
Key features
- Turn an alarm into a notice so customers hear about it from you first
- Show agents the incident with the alarm state reaching the conversation
- Publish chat volume as a metric so support load sits beside your system graphs
- Close the loop when it clears by messaging the people who were affected

AWS CloudWatch
API
Tags
Custom Integration
Workflow Automation
How it works
Connect AWS CloudWatch in minutes
1
Connect Tidio and AWS CloudWatch
Link the two with Zapier or the Tidio API, using the alarms your account already has.
2
Choose what talks to customers
Decide which alarms are worth a message and which stay with the engineers.
3
Send the chat side back
Conversation volume goes to AWS CloudWatch as a metric, so both signals live together.
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.
Looking for customer service automation that fits your business?
We build custom API integrations to streamline your most important workflows.
Frequently asked questions





