Get turnkey telemetry on application status, release and upgrade adoption, air gap instance details, and more. Integrate a bit more to send back custom metrics for insights into application level activity (DAU, actions taken etc). Even in air-gapped environments.
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Replicated's reporting and telemetry collect application instance data to monitor health, status, and performance. In online environments, data is sent to the Vendor Portal. In air-gapped setups, it's stored locally and uploaded via support bundles, enabling real-time insights and issue troubleshooting.
The Vendor Portal and SDK API show the status of application instances in customer environments, including state (e.g., Ready or Degraded), uptime, and average time to reach the Ready state during installation.
For air-gapped instances, Replicated KOTS and the SDK store telemetry and metrics in a Kubernetes Secret. These are collected in a support bundle, uploaded to the Vendor Portal, and linked to the customer and instance ID to update insights and events.
The Dashboard's Adoption section shows customer upgrade rates and adoption of your application's latest versions, helping you assess the discoverability and ease of upgrades.
The Reporting tab on the Customers page displays active instances per customer, while the Manage Customer section details customer name, channel, license info, and enabled features like GitOps, Air Gap, Identity, and Snapshots.
The Vendor Portal's Instance Details page offers insights into application instance health, status, and performance, aiding troubleshooting and reducing support. Track events like performance issues, downtime, infrastructure changes, node updates, and version changes.
Custom metrics offer insights into customer usage and feature adoption, helping your team prioritize effectively. Configure custom metrics for application instances in both online and air-gapped environments.
“Quickly, KNIME was able to see the value of Replicated beyond just the installer. Through Replicated’s Vendor Portal, KNIME was given insights into which customers were using Business Hub, and based on these insights they were able to identify at-risk customers before they churned.”
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