Cloud Intelligence™Cloud Intelligence™
Autonomous Kubernetes Optimization

Kubernetes optimization with added reliability.

Reduce Kubernetes costs by up to 50% with workload-aware automation.

Trusted by platform engineering teams

Luxury Escapes
Personio
Loop Returns
Kargo
Home Chef
Entain
ClickUp
Exiger

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.

PerfectScale autonomous Kubernetes optimization workflow showing intelligent recommendations
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.

Multi-cloud multi-cluster Kubernetes visibility dashboard with GPU utilization data

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

Context-aware rightsizing

Tailored actions using performance baselines, traffic patterns, and business criticality.

Stability-first approach

Stability-first approach

Application health stays at the center of every optimization recommendation.

FinOps practice support

FinOps practice support

View K8s efficiency trends to better forecast future cloud spend.

Guardrails and policies

Guardrails and policies

Define rules by workload criticality, environment type, and business hours.

Cost visibility dashboard

Cost visibility dashboard

Track K8s spend alongside cloud billing with granular attribution.

Resource utilization tracking

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

PlayHQ

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

SNCF

PerfectScale allowed us to grow capacity without growing cost. We effectively absorbed 30% more usage for free.

Thomas Comtet, Senior Staff Engineer, SNCF

NOS

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

K1x

PerfectScale gave us the answers we needed on a silver platter. The insights saved us time and money.

Jason Berk, Platform Operator, K1x

Trax

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

Riftweaver

PerfectScale has been a game-changer. The insights have not only solved immediate issues but also prepared us for future growth as we expand to more platforms and users.

Rumby Osei, Senior DevOps Engineer at Riftweaver

See it in action

Schedule a 15-minute call to discuss your K8s optimization needs.