PerfectScale

PerfectScale is a Kubernetes optimization platform built for DevOps, SRE, and Platform Engineering teams that need continuous, data-driven control over cloud costs and cluster performance. Originally founded as an independent company, PerfectScale was acquired by DoiT in January 2025 and now operates as PerfectScale by DoiT, complementing DoiT's broader Cloud Intelligence platform. It deploys via a single Helm command and begins delivering actionable insights immediately.

What It Is

PerfectScale is an automated Kubernetes management platform that addresses the core challenge of continuously optimizing containerized workloads at scale—a task the company describes as "beyond human-scale to tackle." The platform combines workload right-sizing, node utilization analysis, real-time alerting, and autonomous optimization actions into a single interface. It is cloud-agnostic, supporting EKS, GKE, AKS, OpenShift, Rancher, DigitalOcean, and private cloud environments, as well as hybrid setups.

Core Capabilities: Podfit and Infrafit

The platform is organized around two primary optimization engines:

• Podfit provides granular cluster health and cost visibility, prioritizing workloads that need attention and autonomously right-sizing them. It also surfaces recommendations for HPA and KEDA configurations.
• Infrafit focuses on node-level utilization, helping teams identify and eliminate idle node capacity and maximize the effectiveness of node autoscalers such as Karpenter, Cluster Autoscaler, EKS Auto Mode, Fargate, and Google Autopilot.

Additional capabilities include a Trends Report for cost and risk forecasting across clusters, node groups, namespaces, and workloads, and real-time alerts with auto-prioritization that route directly to Slack, Datadog, Microsoft Teams, and PagerDuty.

Deployment Model and Setup

PerfectScale offers both a SaaS deployment and a self-hosted (on-premises) option for organizations with strict security, compliance, or data residency requirements. The platform states it can be installed in minutes using a single Helm command. It supports Windows-based containers in addition to Linux workloads, and handles ephemeral workloads such as Airflow and Spark Jobs through autonomous right-sizing. A key feature called Revision Awareness evaluates every new code release to dynamically adjust optimization recommendations without contradicting development changes.

Audience and Use Cases

The platform targets three primary personas: DevOps engineers, SREs, and Platform Engineers, as well as FinOps teams that need cross-team visibility into Kubernetes spending. Specific use cases highlighted on the site include:

• GPU optimization for AI services
• Cloud commitment optimization (reserved instances, savings plans)
• Integration with node autoscalers (Karpenter, NAP, Cluster Autoscaler)
• Multi-cluster governance and forecasting

Update: DoiT Acquisition (January 2025)

According to the About page, PerfectScale was acquired by DoiT in January 2025. The platform now operates under the "PerfectScale by DoiT" brand and is positioned alongside DoiT Cloud Intelligence—DoiT's multicloud FinOps platform—to provide end-to-end cloud management covering cost allocation, anomaly detection, workload optimization, and Kubernetes-specific right-sizing. The pricing page reflects this integration, with plans that bundle PerfectScale's K8s optimization features alongside DoiT's FinOps Intelligence capabilities including multicloud reporting, Flexsave for compute, EKS Lens, GKE Lens, BigQuery Lens, and Snowflake Lens.

Integrations and Ecosystem

PerfectScale connects with a broad set of tools across the cloud-native ecosystem:

• Cloud providers: AWS, Google Cloud, Microsoft Azure, DigitalOcean, OpenShift, Rancher
• Monitoring and alerting: Datadog, Grafana, Prometheus, PagerDuty, Microsoft Teams, Slack
• Autoscalers: Karpenter, HPA, KEDA, Cluster Autoscaler, EKS Auto Mode, Fargate, Google Autopilot, Node Auto Provisioning
• Marketplaces: Available on AWS Marketplace