PerfectScale for Kubernetes

Kubernetes optimization with full visibility

Cut Kubernetes costs by up to 50%, improve reliability with real-time, workload-aware automation, and get granular analytics that tie your costs back to business objectives.

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Overview

PerfectScale for Kubernetes helps ensure peak performance with data-driven, autonomous actions that continuously optimize each layer of your K8s stack for comprehensive cost efficiency.

Using PerfectScale for Kubernetes, teams get access to granular, pod-level insights and autonomous rightsizing of K8s clusters, eliminating the need for non-stop monitoring and reconfiguration based on usage demands.

Documentation

Pricing

FinOps automation

Cut costs by up to 50% with workload-aware automation

AI-driven insights

Analyze dynamic usage patterns to optimize resource levels

DevOps excellence

Ensure optimal performance and availability

Streamlined operations

Align SRE, development, and finance teams in a single UI

Overview

DoiT Kubernetes Lens – a preconfigured dashboard available within DoiT Cloud Intelligence – offers comprehensive visibility of your K8s clusters in the context of your overall cloud billing data.

Gain deep insights into your K8s environment with granular analytics in the areas that matter most. Integrate these metrics with your cloud billing data to correlate K8s usage and costs with wider business objectives.

Documentation

Pricing

Cost visibility

Track and monitor your K8s spend

Resource monitoring

Track CPU and memory utilization

Workload analysis

Explore deployment performance

Container-level view

Analyze individual resource use

Smarter, safer K8s
optimization at scale

PerfectScale for Kubernetes goes beyond basic cost-cutting by offering intent-aware automation, health-first recommendations, and FinOps integration to optimize K8s workloads without compromising performance or control.

Full-stack, autonomous Kubernetes optimization

Go beyond spreadsheets and Grafana dashboards with intelligent recommendations and automation workflows designed to rightsize clusters and ensure every K8s dollar spent is justified.

Multicloud, multi-cluster visibility at scale

PerfectScale for Kubernetes was built to operate at enterprise scale for modern K8s environments by providing data-driven intelligence – including GPU utilization – policy enforcement, and optimization actions across any number of clusters and cloud providers.

Context-aware recommendations

Get tailored rightsizing actions with full context of your environment, including performance baselines, business criticality, traffic fluctuations, and off-hours behavior.

Stability-first
optimization approach

Unlike tools that aggressively slash costs without fully accounting for the operational risk, PerfectScale for Kubernetes puts application and infrastructure health at the center of every recommendation.

Level up your Kubernetes FinOps practice

Enable DevOps and FinOps to make better financial and business decisions about application infrastructure by viewing K8s efficiency and trend visibility to better forecast future cloud spend.

Guardrails for safe, controlled, and predictable optimization

PerfectScale for Kubernetes gives teams precise control over how, when, and where optimization happens. Teams can define policies based on workload criticality, environment type, business hours, and more — ensuring that automation won’t compromise stability or developer workflows.

Kubernetes is a black box
for strapped operations teams

Maintaining a high-performing, cost-efficient K8s environment is a huge challenge for any company, and an even bigger task for large enterprises with multiple cloud environments and siloed teams. Balancing K8s efficiency with larger engineering priorities creates delays and bottlenecks across the organization.

Too much time spent
managing Kubernetes

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Keeping Kubernetes optimized takes significant time and expertise. From configuring autoscalers and debugging clusters to scaling environments and enforcing policies, teams are stretched thin – especially when they lack dedicated platform engineers or automation tools.

Inefficient resource use
Drives up cloud costs

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To prevent performance issues, teams often overallocate CPU and memory. But without clear usage data or automated rightsizing, this leads to waste. The lack of cost visibility and accurate attribution also makes it hard to hold teams accountable or drive efficient engineering behavior.

Siloed tooling
limits optimization

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Kubernetes operations typically rely on a patchwork of tools for monitoring, cost tracking, logging, and security. This tool sprawl creates fragmented insights and makes it difficult to get a unified view of application health, performance, and spend.

Complexity increases
at scale

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As teams adopt hybrid and multicloud strategies or scale across multiple clusters, Kubernetes environments become harder to manage consistently. Without robust automation and governance, ensuring reliability, compliance, and performance at scale is a major challenge.

“PerfectScale for Kubernetes is a game changer for containerized workload optimization. The focus on reliability, mixed with the system’s flexibility, helps us safely optimize dev and production environments with zero-touch from our engineers. The combination of DoiT’s innovative cloud solutions and PerfectScale will help us further support our business goals in relation to service reliability and TCO.”

–Oren Ashkenazy, Director of DevOps and Cloud

"Within a matter of weeks, the intelligence we got from PerfectScale for Kubernetes helped safely optimize our environment, significantly reducing costs and improving our application’s performance and resiliency. We have yet to see another tool in the market that effectively and accurately optimizes Kubernetes environments like PerfectScale for Kubernetes does."

–Richard Sayad, Sr. Director of Cloud Architecture

"With PerfectScale for Kubernetes, it has never been easier for our DevOps and SRE teams to identify resilience issues caused by under-provisioned resources. With a few clicks, we are able to quickly address these issues and improve our application's performance."

–Avitsadok Tsadok, Cloud and Infrastructure Architect

Related resources

GPU Optimization with Exceptional PerfectScale Visibility

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How Rapyd solved observability gaps to cut Kubernetes costs by 40%

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Cut Kubernetes Costs: 4 Key Questions Every CFO Should Ask Their Engineering Leader

Cut Kubernetes Costs: 4 Key Questions Every CFO Should Ask Their Engineering Leader

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DoiT Cloud Intelligence™ is the only intent-aware FinOps platform that goes beyond cost optimization to drive reliability, performance, and security—turning endless “good ideas” into real, implemented solutions at scale—ensuring teams are 10X more likely to achieve business outcomes than with any other solution.

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Let’s do it

From cost optimization to cloud migration, machine learning and CloudOps,
we’re here to make the public cloud easy.

From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.

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