Dynamically optimize pod requests and limits in runtime to always match real-time demand, to eliminate over-provisioned and under-provisioned workloads without downtime.

• Automatic integration with HPA and KEDA – Optimize vertical scaling for workloads with horizontal scaler without manual intervention.
• Seamless GitOps compatibility – Integrates effortlessly with any GitOps workflow, including popular tools like ArgoCD and Flux.
• Auto-healing and Fast reaction – Proactive and reactive mechanisms to automatically mitigate issues caused by sudden unexpectable bursts and stressed nodes, ensuring stability and performance.

Continuously optimize node selection and improve resource allocation using advanced bin-packing capabilities.

• Node consolidation optimization – Continuously reduce the number of nodes and enhance any cluster auto scaler, including Karpetner.
• Advanced bin-packing for unevictable pods — Continuously optimize pod scheduling and placement with PDBs and do-not-evict annotation, enabling nodes to scale down and dramatically reduce cost.

 Allow different resource optimization strategies for every workload according to their unique needs

• Zero onboarding time using context-aware and automatic policy detection – Out-of-the-box policies and automatic policy selection for any workload, including workloads needing special considerations (e.g., Kafka, RabbitMQ, Batch Jobs, CronJobs, Java-based workloads).
• Support any workload type – including custom workloads based on CRDs, labels, and annotations, including Spark and Flink workloads, Jenkins Jobs, CircleCI Jobs, Argo Rollouts, and more.
• Customizable and configurable policies – to allow your teams to define and set their desired behavior.

Allowing you to see allocated spend across all native Kubernetes concepts and get a breakdown of cost and resource allocation

• Break down expenses by namespace, labels, annotations, clusters, and more across major cloud providers or on-prem Kubernetes environments.
• View costs across multi-cluster and create detailed cost reports
• Regularly monitor and accurately measure the consumption of each resource to ensure efficient usage and identify areas for improvement.