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InsightFinder Unified Intelligence Engine (UIE) platform leverages our advanced AI to seamlessly integrate and analyze diverse data sources, delivering actionable insights for optimal decision-making.
Our portfolio of patents showcases our commitment to innovation and leadership in the field of AI for DevSecOps.
Our platform expertly integrates with leading observability solutions and open source monitoring tools, ensuring a comprehensive and versatile approach to achieving AI-driven self-healing and self-optimizing.
Discover how our customers have transformed their operations and achieved remarkable results.
Leverage the power of AI to foresee and preemptively address system incidents, ensuring smooth operations and zero downtime.
Empower your team with powerful root cause analysis to quickly identify, analyze, and resolve system incidents, enhancing efficiency and minimizing impact.
Gain a comprehensive overview of your system’s health with real-time monitoring data fusion and insight extraction, enabling informed decision-making and proactive management.
Leverage predictive AI to proactively eliminate both service outages and resource waste.
InsightFinder offers comprehensive integration capabilities, enabling the collection of metrics, logs, and event data directly from pods within a Kubernetes cluster.
Leveraging the advanced capabilities of the InsightFinder Intelligence Engine, it provides in-depth root cause analysis for pod crash events. Additionally, integration with our Autoscaler feature allows for cost-efficient resource management and proactive scaling in response to workload surges.
InsightFinder’s platform support extends to a wide range of providers, including AWS EKS, Google Cloud GKE, and on-premise solutions.
We provided a Kubernetes collector to collect the following data from the cluster:
InsightFinder also supports the autoscaling of memory and CPU resources based on our predictions.
InsightFinder predicts future memory requirements, enabling proactive reduction of memory allocations. When lower usage is forecasted, the autoscaler decreases memory requests, aligning resource allocation with predicted needs.
Conversely, InsightFinder can preemptively increase resource limits and requests. By forecasting higher resource demands, it automatically scales up memory allocations, preventing issues related to resource scarcity.
InsightFinder actively predicts and detects incidents in realtime. This functionality permits tailored scaling actions in response to specific incidents, such as automatically increasing resources during an OutOfMemory event. This proactive approach ensures system stability and reliability.
We provided with the instructions to setup the minimal Prometheus and Loki.
helm repo add insightfinder https://insightfinder.github.io/charts
helm install -f ./values.yaml if-kubernetes-agent insightfinder/if-kubernetes-agent --version 0.0.6
Take InsightFinder for a no-obligation test drive. We’ll provide you with a detailed report on your outages to uncover what could have been prevented.