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  • Kubernetes Optimization
  • Getting started
    • How to onboard a cluster
    • Onboarding clusters programmatically
    • Onboarding with ArgoCD
    • Updating PerfectScale Agent resources
    • Re-onboarding a cluster
  • Enable automation
    • Automation setup instruction
    • Including a cluster, namespace or workload to the Automation
      • Configuring Automation for a cluster
      • Configuring Automation for a namespace
      • Configuring Automation for a workload
    • Excluding a namespace or workload from the Automation
    • Automation customization
    • Verifying Automation status
    • Exploring Automation KPIs
    • Self-healing mechanism for unschedulable pods
    • Disable automation
    • Troubleshooting
    • Automation with GitOps
  • Cloud billing integration
    • Connecting AWS CUR
    • Connecting Azure Cost Management
  • Clusters' metrics overview
  • Podfit | vertical pod right-sizing
    • Understanding 'At Risk' indicators
    • LimitRange and ResourceQuota
  • Infrafit | node right-sizing
    • Node group view
    • Node type view
  • Configure alerts
    • Alerts acknowledgement
  • Trends monitoring
  • Revisions history log
  • Product overview
    • How to monitor PerfectScale Agent
    • PerfectScale data collected
    • PerfectScale Autoscaler Objects' Events
    • Outbound Request Ports used by the Exporter and Autoscaler
    • PerfectScale Weekly Report
    • Product architecture
  • Customizations
    • Alerting
      • Resiliency alerts
      • Financial alerts
    • Pricing
      • Custom Pricing configuration
      • AWS CUR configuration
      • Azure Cost Management configuration
    • Ticketing & Bug Tracking
    • Communication & Messaging
      • Slack Integration
        • How to configure slack_token
        • How to configure routings
      • MS Teams Integration
        • How to configure teams_webhook
      • Datadog Alerts Integration
    • Label customizations
    • Grouping
    • Observability
    • Podfit labels
    • Optimization Policy customization
  • Administration
    • Cluster settings
    • User management
    • Roles and permissions
    • Subscription details
    • Help Center
  • PerfectScale trial
    • How to find your allocated vCPU?
  • PerfectScale Prometheus Exporter
  • Security
    • MFA
    • SSO
    • ps-agent RBAC Permissions
    • psc-autoscaler RBAC Permissions
    • ps-exporter via Proxy Configuration
  • Public API
  • Help PerfectScale to improve
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© PerfectScale by DoiT 2025

On this page
  • 🔑 Starting a free account
  • Getting started with the K8s optimization tool
  • Next to achieve
  • Cut your K8s cloud spending by up to 50%
  • Improve K8s performance
  • Automate K8s optimization tasks
  • Get accurate cost visibility across your entire K8s stack
  • Maximizing your optimization results
  • Community
  • Support

Kubernetes Optimization

Learn how to effortlessly scale and right-size Kubernetes with granular control that ensures peak performance at the lowest possible cost

NextGetting started

Last updated 2 months ago

Kubernetes optimization tool - PerfectScale by DoiT empowers you to effortlessly fine-tune your environment, ensure optimal resource allocation, and achieve peak performance with comprehensive insights for the lowest possible cloud cost.

This documentation serves as your comprehensive guide to mastering the platform, ensuring you achieve maximum results efficiently.

PerfectScale is compatible with and can be deployed in any Kubernetes environment, including EKS/EKS Anywhere, GKE, AKS, KOPS, private cloud, and other Kubernetes distributions.

🔑

Getting started with the K8s optimization tool

  1. Deploy the PerfectScale stateless deployment into the cluster .

  2. Get a thorough analysis of risk and cost for the whole cluster within 5 minutes of onboarding.

  3. Facilitate a productive collaboration by .

Next to achieve

Get a detailed multi-cloud, multi-cluster view of your K8s spending based on actual resource utilization, pinpoint problematic areas, prioritize the most impactful actions, and apply data-driven recommendations to reduce waste safely without affecting stability and performance.

Identify up to 30 different resilience types of risks, prioritize them by their impact on your services, and apply actionable recommendations to resolve them in just a few clicks.

Effortlessly and proactively optimize your Kubernetes environment by adjusting workloads' CPU and memory to achieve optimal values and ensure your environment is always perfectly tuned without manual intervention.

Analyze your K8s data across clusters, namespaces, and node groups to evaluate effectiveness, pinpoint anomalies, improve forecasting, and enable data-driven decisions based on long-term trends.

Maximizing your optimization results

Create a tailored optimization ecosystem with diverse integration options to keep up with all your Kubernetes activities, streamline your optimization processes, and enhance your team's productivity.

: Receive real-time notifications about resilience risks or cost anomalies before they affect the performance or effectiveness of your environment.

: Manage alerts via Slack, MS Teams, or Datadog.

: Integrate with Jira to handle issues efficiently within clusters.

: Tailor pricing to your needs with various pricing customization options

: Enhance K8s visibility with tools like Grafana, Datadog, and more.

: Connect PerfectScale recommendations to your standard GitOps flow.

Community

Join our to stay updated on what is trending in the atmosphere, our latest releases, upcoming events, technical discussions, and more.

Support

Feel free to ask any questions on Slack. You can also reach our support at .

🤝
🦸‍♀️
Starting a free account
with a single helm command
inviting your team
Cut your K8s cloud spending by up to 50%
Improve K8s performance
Automate K8s optimization tasks
Get accurate cost visibility across your entire K8s stack
Configure Alerts
Set Up Communication Channels
Connect Issue Management
Customize Pricing
Integrate Observability
Set Up ArgoCD
Сommunity
support@perfectscale.io