Reduce spend quickly while preserving resilience, availability, and application performance.
automated kubernetes cost optimization
Autonomous Workload Right-sizing
Get continuous, real-time workload optimization that adapts to usage patterns, node and autoscaling configurations, and code changes, eliminating waste without compromising performance.
- HPA and KEDA Compatible: Enhance the horizontal scaling configuration with seamless Automation integration.
- Revision Awareness: Optimize workload configurations dynamically, adapting to each new code release.
- Comprehensive workload support: Including custom workloads like Spark, Flint, Rollouts, and more.
Reduction of Node Counts
Leverage granular node utilization visibility and actionable intelligence to optimize nodes and reduce your environment size.
- Seamless node-autoscaler integration: Instantly improve the effectiveness of your autoscaler, like Karpenter or Cluster Autoscaler.
- Holistic node utilization visibility: Quickly identify idle node capacity, select the proper node type, and optimize configurations.
- Improved Binpacking: Optimize pod scheduling to reduce wasted node resources.
Frictionless K8s Tuning
Collaborate with R&D and architecture teams to streamline your K8s operations for continuous optimization that doesn't compromise performance.
- Dynamic Optimization Policies: Control the desired cost and service level of each workload at scale with flexible policy management.
- Flexible Automation setup: Set the automation policies that best support the needs of your application.
- Integrate with your Established Workflows: Connect your existing collaboration, ticketing, and observability tools, including Slack, MS Teams, Jira, DataDog, Grafana, and more.
Complete K8s Cost Visibility
Gain a comprehensive view of your K8s expenses across all environments. Understand trends and precisely forecast future costs with unparalleled clarity.
- Accurate Cost Visibility: Track costs over time with detailed breakdowns by cluster, namespace, and workload.
- Advanced Cost Allocation Techniques: Use flexible workload grouping to control Kubernetes costs at the team, subsystem, or environment level.
- Align with FinOps Goals: Compare cost and performance metrics to ensure every dollar spent is justified.
Discover the PerfectScale Advantage
PerfectScale stands out with its unique approach to cost optimization. Our platform is designed to deliver results swiftly and efficiently.
Broad Cloud Support
AWS, Azure, Google, OpenShift, Rancher, and Private Cloud.
Full-stack Optimization Insights
Containers, workloads, and nodes covered end-to-end.
Autonomous Workload Optimization
Continuous right-sizing without manual intervention.
Alerts and Ticketing Integrations
Connect to Slack, MS Teams, Jira, and more.
Comprehensive Cost Visibility and Reporting
Track and forecast costs across every environment.
Seamless Autoscaler Integrations
HPA, KEDA, Karpenter, and Cluster Autoscaler.
Optimization Policy Enforcement
Govern cost and service level at scale.
Predictive Cost Insights
Forecast future spend with precision.
Custom Grouping
Allocate costs by team, subsystem, or environment.
Carbon Footprint Visibility
Track sustainability alongside cost metrics.
Why teams pick PerfectScale
Run clusters that are cost-efficient, reliable, and ready to scale.
Frequently asked
questions
What is Kubernetes Cost Optimization?
Kubernetes cost optimization is the continuous process that aligns cluster resources with actual workload needs to eliminate waste, improve efficiency, and reduce cloud spend safely, without compromising performance.
How do you optimize Kubernetes Cost?
PerfectScale continuously analyzes your Kubernetes clusters, including resource usage patterns and configurations, and provides data-driven workload right-sizing recommendations or applies them autonomously for immediate results. It also delivers actionable node-level recommendations to select the best nodes for the workloads, enabling teams to improve bin-packing and ultimately reduce the environment size.
What is the difference between cost optimization and cost reduction?
Cost reduction focuses on lowering expenses, often through short-term actions that decrease spending. Cost optimization, on the other hand, is about building the right processes, governance, and automation to continuously take accurate actions to balance business value with cost efficiency. It drives sustainable savings while ensuring performance, reliability, and scalability.