Zebrium can take a PagerDuty incident generated by another tool, and augment it with details of root cause. It can also create a PagerDuty incident for the long tail tail of unknown issues that other tools miss. Installation of integration is automated in the Zebrium UI.
Zebrium uses Slack for alerting when incidents occur. There is also a Zebrium Slack app (automated install in the Zebrium UI) that allows you to request incident and root cause details within any Slack channel. This is useful when Slack is used as the communication mechanism during incident response.
Watch joint webinar - Chaos experiments in Kubernetes with ML-driven verification. You can also spin up a GKE cluster to use Litmus Chaos Engine to validate Zebrium's incident and root cause detection.
Watch joint webinar - Using AI to auto detect and remediate incidents.
Zebrium's fluentd log collectors can be found here. To install simply cut and paste the commands in the Log/Metrics Collector page in the Zebrium UI (the commands will automatically include your site specific token and configuration).
Source code for Zebrium's Prometheus scraper (enhanced for 500X bandwidth efficiency, near real-time updates and more) can be found here.To install simply cut and paste the commands in the Log/Metrics Collector page in the Zebrium UI (the commands will automatically include your site specific token and configuration).
Zebrium Email integration for alerting.
Zebrium Webhook Integration.
Zebrium CLI.
Zebrium works with any custom, OSS or 3rd-party application. Collectors are supported for most common platforms.
VMware, Windows and more are coming soon.
