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.
With a multidimensional automation approach and unique technologies, Zesty’s Kubernetes Optimization Platform (“Zesty platform”) ensures effortless and continuous optimization of Kubernetes resources with real-time needs.
The offers these solutions:
Kubernetes resource optimization
Multi-dimensional autoscaling: Automatically align vertical and horizontal resources with real workload behavior to maximize cluster utilization, cut infrastructure costs, and maintain performance under load.
For more information, see Multi-dimensional autoscaling.
Adaptive Pod placement: Group unevictable Pods that block consolidation to reduce fragmentation, improve node utilization, and lower compute costs while maintaining application availability.
For more information, see Adaptive Pod placement.
PV autoscaling: Automatically scale persistent volumes up or down based on real-time usage. Cut idle storage costs by 70% while keeping your applications always available.
For more information, see PV Autoscaling.
Compute cost visibility: Gain real-time visibility into usage, costs, and potential savings to make data-driven decisions, automate the right workloads, and maximize cost efficiency.
For more information, see Visibility and insights.
Spike protection
Fast scaling: Accelerate application boot time with Karpenter by up to 5x to handle unpredictable traffic spikes and maintain high availability under load.
For more information, see Spike protection with Fast scaling.