What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Retrieve metrics or alerting data from Librato in real time.
Example
"Fetch current CPU utilization of a monitored server."
Memory Recall
Monitor real-time metrics and alert threshold changes.
Example
"Track CPU usage alerts and changed thresholds in Librato."
Instant Reaction
Alert engineers when a metric spike is detected in Librato.
Example
"Notify if CPU usage exceeds 90% for more than 5 minutes."
Autonomous Routine
Monitor custom metrics, anomaly detection, and alert thresholds.
Example
"Send hourly system performance metrics."
Agent-Initiated Action
Trigger auto-scaling or throttling.
Example
"Scale up instance if sustained CPU spike detected."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Datadog
Log system performance
Slack
Alert on usage spikes
Google Sheets
Store metrics
Try It with Your Agent
Example Prompt:
"Monitor CPU with Librato and notify engineering via Slack if usage exceeds 90%."
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Librato in Fastn UCL: Navigate to the Connectors section and select Librato, then click Connect.
2
Authenticate using your Librato API token.
3
Enable “send_metric” and “get_dashboard” in the Actions tab.
4
Use the AI Agent to track and visualize performance metrics.
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
