“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”
Josh Zarrabi, Infrastructure Engineer
Two products, one platform
What PerfectScale for Kubernetes delivers
PerfectScale provides autonomous optimization while Kubernetes Lens gives you preconfigured dashboards inside Cloud Intelligence™.
FinOps automation
Cut costs by up to 50% with workload-aware automation that rightsizes clusters continuously.
AI-driven insights
Analyze dynamic usage patterns to optimize resource levels across every layer of your K8s stack.
DevOps excellence
Ensure optimal performance and availability without non-stop manual monitoring and reconfiguration.
Streamlined operations
Align SRE, development, and finance teams in a single UI with shared visibility and context.
full-stack optimization
Go beyond Grafana dashboards and spreadsheets
PerfectScale delivers intelligent recommendations and automation workflows that rightsize clusters automatically. Every K8s dollar spent gets justified with data, not guesswork.
Pod-level insights replace manual monitoring. Autonomous rightsizing eliminates the constant reconfiguration cycle that drains engineering time.
cost attribution
Know what every customer costs to serve
Your clusters serve dozens of customers. Your bill sees one. Namespace and label reports stop working the moment a shared service handles requests for everyone, and that is exactly where most of the spend lives.
PerfectScale attributes compute, GPU, and storage cost to the customer and feature that actually consumed it, by observing runtime consumption instead of relying on tags. Cost to serve, margin per account, and the workload driving each spike, continuously and without a tagging project.
K8s network attribution
Put a customer name on your K8s network bill
Network is often 20 percent or more of Kubernetes spend, and it is the part nobody can explain. Cross-AZ replication, inter-cluster traffic, and NAT egress land as anonymous line items because there is no tag on a packet.
PerfectScale traces every traffic path to the customer and feature behind it. When cross-AZ cost jumps 27 percent, you see which feature caused it and which account to have the conversation with, instead of averaging the bill across everyone.
reduce nodes
Without Impacting Performance
Infrafit provides comprehensive node utilization visibility and actionable insights to drive precise optimization of your environment.
- Identify and eliminate nodes’ idle capacity with granular insights, ensuring peak cluster performance and reliability
- Select the right nodes for your workloads with data-driven recommendations.
- Maximize the effectiveness of your node-autoscalers, like Karpenter, to facilitate infrastructure optimization.
50%
Typical Kubernetes cost reduction.
100%
Production-grade reliability.
1
Install with a single helm command.
right-size workloads
Autonomously
Podfit provides a granular view of cluster health and costs, prioritizing areas that need attention while autonomously optimizing workloads.
- Quickly identify wasted resources and resilience issues
- Get data-driven recommendations to right-size workloads.
- Set up automation for immediate optimization.
- Improve your HPA and KEDA configurations with actionable recommendations.
Enterprise scale
Multi-cloud, multi-cluster visibility including GPU
Built for modern K8s environments at enterprise scale. Get data-driven intelligence, policy enforcement, and optimization actions across any number of clusters and cloud providers.
GPU utilization tracking included. No more blind spots across your hybrid infrastructure.
Smarter, safer K8s optimization
Built for reliability first
PerfectScale goes beyond basic cost-cutting with intent-aware automation, health-first recommendations, and FinOps integration.
Context-aware rightsizing
Tailored actions using performance baselines, traffic patterns, and business criticality.
Stability-first approach
Application health stays at the center of every optimization recommendation.
FinOps practice support
View K8s efficiency trends to better forecast future cloud spend.
Guardrails and policies
Define rules by workload criticality, and environment type.
Cost visibility dashboard
Track K8s spend alongside cloud billing with granular attribution.
Resource utilization tracking
Monitor CPU and memory at container level to eliminate waste.
Get savings analysis
No credit card required.
How Rapyd solved observability gaps to cut Kubernetes costs by 40%
40%
Kubernetes cost reduction
30
days implementation effort
Kubernetes is a black box for strapped operations teams
Balancing K8s efficiency with engineering priorities creates delays and bottlenecks across the organization.
Too much time managing Kubernetes
Configuring autoscalers, debugging clusters, scaling environments, enforcing policies. Teams are stretched thin without dedicated platform engineers or automation.
Inefficient resource use drives up costs
Teams overallocate CPU and memory to prevent outages. Without usage data or automated rightsizing, this leads to waste and zero accountability.
Siloed tooling limits optimization
A patchwork of monitoring, cost tracking, and logging tools creates fragmented insights. Getting a unified view of health, performance, and spend is nearly impossible.
Complexity increases at scale
Hybrid and multi-cloud strategies across multiple clusters make consistent management harder. Without robust automation, reliability and compliance suffer.
What they say
“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”
David Adkins, Director of Software and Platform Engineering
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
Every customer has unique usage patterns. Manual resource optimization simply didn't scale—we needed automation to ensure every customer, regardless of size, had right-sized infrastructure without consuming our team's capacity.
Brad Quinn, Lead Platform Engineer, PlayHQ
PerfectScale allowed us to grow capacity without growing cost. We effectively absorbed 30% more usage for free.
Thomas Comtet, Senior Staff Engineer, SNCF
I believed in the product the first time I saw it. I still show it to everyone. It was the only solution that combined smart automation with real cost savings, without putting performance at risk.
Joao Soares, Platform Engineering Lead, NOS
PerfectScale gave us the answers we needed on a silver platter. The insights saved us time and money.
Jason Berk, Platform Operator, K1x