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.

Observe. Analyze. Automate

Unlimit your Observability, Limit your Cost.

Observe. Analyze. Automate

Unlimit your Observability, Limit your Cost.

Observe. Analyze. Automate

Unlimit your Observability, Limit your Cost.