451 Research Highlights Kloudfuse’s Market Leadership in Observability
451 Research Highlights Kloudfuse’s Market Leadership in Observability
451 Research Highlights Kloudfuse’s Market Leadership in Observability
Realtime Alerts
Create, observe, analyze different types of Alerts on High Cardinality MELT data
Realtime alert evaluation on low and high cardinality data across all MELT streams with full PromQL/LogQL, and advanced functions like Anomaly and Outliers detections.
Realtime alerting
Create, observe, and analyze alerts in real-
time to minimize the time taken for
incident detection, troubleshooting, and
remediation. The high-performance query
evaluation engine ensures that alerts fire
in a timely fashion.
Alert on high/low
Cardinality Data
Advanced analytics engine makes analysis
of alerts very efficient for both high and
low cardinality data. The platform supports
query evaluation of very large volume of
alerts.
Any stream
Create, and analyze alerts for all the
streams of observability like Metrics, Logs,
Events, and APM. Alerts can be set on
metrics derived from logs and distributed
traces.
Advanced Alerting
Leverage the advanced analytics functions
like Anomaly and Outlier detection for the
alerts. This significantly reduces the noise
of false alerts and alert fatigue.
Plug ‘n Play with
Leverage your existing communication channels
like Slack, PagerDuty, Webhook, Email for alert
notifications. Various contact points can be
added dynamically and maanged in single pane
of glass.
Realtime alerting
Create, observe, and analyze alerts in real-
time to minimize the time taken for
incident detection, troubleshooting, and
remediation. The high-performance query
evaluation engine ensures that alerts fire
in a timely fashion.
Alert on high/low
Cardinality Data
Advanced analytics engine makes analysis
of alerts very efficient for both high and
low cardinality data. The platform supports
query evaluation of very large volume of
alerts.
Any stream
Create, and analyze alerts for all the
streams of observability like Metrics, Logs,
Events, and APM. Alerts can be set on
metrics derived from logs and distributed
traces.
Advanced Alerting
Leverage the advanced analytics functions
like Anomaly and Outlier detection for the
alerts. This significantly reduces the noise
of false alerts and alert fatigue.
Advanced Alerting
Leverage your existing communication
channels like Slack, PagerDuty, Webhook, Email
for alert notifications. Various contact points can
be added dynamically and maanged in single
pane of glass.
Plug ‘n Play with existing workflows
Realtime alerting
Create, observe, and analyze alerts in real-
time to minimize the time taken for
incident detection, troubleshooting, and
remediation. The high-performance query
evaluation engine ensures that alerts fire
in a timely fashion.
Alert on high/low
Cardinality Data
Advanced analytics engine makes analysis
of alerts very efficient for both high and
low cardinality data. The platform supports
query evaluation of very large volume of
alerts.
Any stream
Create, and analyze alerts for all the
streams of observability like Metrics, Logs,
Events, and APM. Alerts can be set on
metrics derived from logs and distributed
traces.
Advanced Alerting
Leverage the advanced analytics functions
like Anomaly and Outlier detection for the
alerts. This significantly reduces the noise
of false alerts and alert fatigue.
Plug ‘n Play with existing workflows
Leverage your existing communication channels like Slack, PagerDuty, Webhook, Email for alert notifications. Various
contact points can be added dynamically and maanged in single pane of glass.
