Kaiops is a unified AIOps platform to optimize Kubernetes cluster deployments.
AIOps is used to tackle many use cases, including capacity management, event monitoring, and incident remediation. Each use case has the end goal of optimizing an IT network on one or more objectives, such as service response time, resource usage, or cost. Capacity management involves allocating and delegating resources within an IT network as a continual response to service demand. This is achieved through various tasks like autoscaling and scheduling. Autoscaling is a method used in cloud computing that dynamically adjusts the size of computational resources in a network.
Event monitoring encompasses data monitoring and synthesis for ihe identification and prediction of network events and activities. Specific event monitoring tasks include anomaly detection and event correlation. Anomaly detection is the classification of events, incidents, and traffic patterns to predict anomalies, distinguishing normal (routine/cyclical) from abnormal (threat potential) instances to ensure mission-critical measures are taken preemptively. Event correlation is the process of identifying and classifying relationships between disparate data as an individual or related events.
Incident remediation entails alerting and remediation operational tasks, like triggering incident escalation workflows, provisioning alerts and response recommendations for relevant teams and subject matter experts, automating remediation procedures by extracting and inferring incident root causes from alerts and event logs, and launching appropriate ITSM processes.
Smarter way to get cost and performance improvement