Kube AIOps
Proactively predict anomalies and automate recovery with KubeAIOps.
KubeAIOps Approach
Not only does it detect anomalies, but it also offers direct troubleshooting and automatically handles failures.
Why KubeAIOps?
Alert-based anomaly detection and failover advisors enable fast and immediate operational adoption.
Business outcome
Why should customers adopt KubeAIOps?
0
%
Reduced MTTR
reduction in mean time to repair
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%
Accelerate customer acquisition
reduction of new customers on board
0
X
Increased proactive troubleshooting
more proactive problem resoltion
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%
Reduce the number of failures
reduction in the number of incidents
Products
KubeAIOps is a reliable and efficient operation solution that can prevent failures in advance by applying artificial intelligence algorithms to predict anomalies and failures in advance and automate response processing and management.
Deep learning-based failure proactive processing
It learns and analyzes the collected data to automatically create incident tickets and suggest responses to predicted anomalies and failures so that you can take preemptive action.
Rule-based failover automation
Automatically handle detected anomalies or signs of failure based on rulesets established through threshold analysis, etc. You can effectively respond to repetitive failures as well as uncommon signs.
Solutions
MetricOps on NexClipper
- NexClipper Observabiity Integration
- Alert Hub
- Incident Management
- Anomaly detctor
- Resolution advisor
- Autonomous Remediation
KubeAIOps
- Alerts Pipeline
- Anomaly detctor
- Resolution advisor
- KubeAIOps workflow
Alert Noise Reduction
- Alert Hub
- Mertic Pipeline
- Alert noise evalutor