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 structure that takes you from data collection to automating failure signaling and handling through analysis and learning.
Our AlertHub acts as a communicator for Prometheus alerts. Through a webhook, the hub receives the alerts and saves them with labels into a database. Users can access the alert depending on permissions for clusters, nodes, and services. Through communication channels, such as Slack, Email, or Webhook, alert notifications are sent to defined access groups.
Our anomaly detection system uses Prometheus alert rules and machine learning based on the Bayesian Belief Network for your selected monitoring targets. The engine calculates an anomaly probability and requests the creation of a new incident ticket.
Our incident manager takes care of incidents with system-generated or individually created actions or metrics. It manages severity, the status of the incident, and the resources in-charge of it while also helping system investigation.
When the Anomaly Detector creates an incident ticket, the Resolution Advisor provides pre-defined actions based on alerts by monitoring target. These recommended actions are registered in the ticket. You can also pre-configure automatically executed actions that will be run as soon as they are attached to the ticket. And for the auto-execution we have our trusted sudoRy!
AUTOMATION : SUDORY
Our trusted executor of Kubernetes APIs, Helm commands, and Http services within Kubernetes clusters! Sudory can automatically execute actions using pre-defined service templates. The Sudory server outside the Kubernetes clusters requests the service, using the Sudory client within the targeted Kubernetes cluster. Through templates in the service catalogue, service requests are reusable.