Proactively predict anomalies and automate recovery with KubeAIOps.
Not only does it detect anomalies, but it also offers direct troubleshooting and automatically handles failures.
Alert-based anomaly detection and failover advisors enable fast and immediate operational adoption.
Immediate cloud operations
Alert-based anomaly prediction engine enables immediate adoption
NexClipper Observability-based integration service available
Streamline your cloud operations and operations teams
Collaborate on problem resolution with an intelligent incident manager
Reduce operational and automation costs
Proactive failure avoidance, lower MTTR
Avoid failures with proactive problem prediction
Reduce recovery time by automating outage handling
Operational tasks ,Failover automation
Automate repetitive failover tasks and more
Eliminate operational human error and minimize repetitive tasks
Why should customers adopt KubeAIOps?
reduction in mean time to repair
Accelerate customer acquisition
reduction of new customers on board
Increased proactive troubleshooting
more proactive problem resoltion
Reduce the number of failures
reduction in the number of incidents
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.