DevOps are familiar with the never-ending K8s compromise:
Optimize costs while ensuring 100% availability
Managing and optimizing a dynamic K8s environment is a complex task. DevOps teams' main challenge is to ensure application resiliency and maintain SLAs, while optimizing costs.
Limitations in compute resource scaling push teams to over-provision, leading to unnecessary expenses and missed savings opportunities.
Kompass provides a holistic suite of solutions that streamline cost reduction while preserving resiliency and SLAs.
With a multidimensional automation approach and unique technologies, Zesty’s automated Kubernetes optimization platform ensures effortless and continuous optimization of Kubernetes resources with real-time needs.
Kompass offers these solutions:
Compute optimization
Headroom reduction: Cut costs by reducing overallocation and ensuring application availability, while still delivering on your SLA.
Pod rightsizing: Cut costs by matching Pod resources to real-time usage at the container level—no restarts or manual tuning—while still delivering on your SLA.
Adaptive Pod placement: Cut costs by optimizing Pod placement to increase the likelihood of autoscaler-driven node scale-down.
Visibility and insights: Get granular visibility over your clusters, nodes and workloads, and effortlessly identify potential savings.
Storage optimization: With the Storage Autoscaling feature, you can save up to 70% on storage with no risk of downtime. Auto-scale up and down persistent volumes based on the dynamic needs of your applications. Pay only for the storage you need.
Where to go from here