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
Reduce Kubernetes costs by up to 50% with workload-aware automation.
Two products, one platform
What PerfectScale for Kubernetes delivers
PerfectScale provides autonomous optimization while Kubernetes Lens gives you preconfigured dashboards inside DoiT 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.
50%
Typical Kubernetes cost reduction.
100%
Production-grade reliability.
1
Install with a single helm command.
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, environment type, and business hours.
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.
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.
How Rapyd solved observability gaps to cut Kubernetes costs by 40%
40%
Kubernetes cost reduction
30
days implementation effort
What they say
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
We were able to replace a FinOps tool we were using that didn't provide granular cost details or offer guidance on how to optimize our environment. PerfectScale by DoiT is a tool built for the engineering teams, not just for finance, which made it easier for us to make the cost impacts we wanted.
Mark Serdze, Director of Cloud Infrastructure at Trax
See it in action
Schedule a 15-minute call to discuss your K8s optimization needs.