Real-Time Automated Pod Rightsizing
Maximize Performance and Cut Costs by 80%. Automatically.
Continuously rightsize CPU and memory resources in real-time, based on workload behavior and live cluster conditions. Built for production environments, ScaleOps eliminates resource waste, improves reliability, and ensures peak performance.
Automated Real-Time Pod Rightsizing
Automatically rightsize pod resource requests and limits to match real-time workload demand. We respect your policies while improving performance. Free engineers from manual YAML tuning and reactive scaling.
Application Context-Aware Automatic Policy Detection
From stateless microservices to Spark, Kafka, or custom jobs, ScaleOps detects workload type and automatically sets the right optimization policy in real-time. It understands runtime behavior and cluster signals. No custom rules to write, no tuning, and no configuration required.
One Helm command. Instant savings.
Automatic Pod Healing
Avoid performance degradation before it happens. ScaleOps automatically detects CPU throttling, OOM kills, stressed nodes, noisy neighbors, failing health probes, and more, and heals them in real-time. Your applications stay resilient without developer intervention.
Real-Time Burst Reaction
When demand surges, ScaleOps instantly provisions resources dynamically based on real-time need to maintain performance, uptime, and SLAs. Your workloads stay optimized, even under stress.
Automatically Works with HPA & KEDA
No need to choose between vertical and horizontal scaling. ScaleOps works alongside HPA and KEDA out-of-the-box with no configuration required. Enhance your existing scaling strategy with smarter, automated rightsizing.
Cut Kubernetes Costs by 80%
Autonomous Ephemeral Storage Optimization
Ephemeral storage issues silently cause pod evictions, node pressure, and wasted capacity. ScaleOps continuously right-sizes ephemeral storage based on real usage, prevents out-of-ephemeral-storage conditions before they trigger evictions, and provides cluster-wide visibility into storage requests, limits, and capacity.
Rightsize DaemonSets for Every Node
DaemonSet resource requests are not one-size-fits-all. A single recommendation across every node size wastes capacity on larger nodes and creates performance risk on smaller ones. ScaleOps autonomously rightsizes each DaemonSet per node, aligning resources to real usage to eliminate waste and maintain consistent performance across the cluster.
In-Place Pod Resize
Native support for Kubernetes In-Place Pod Resizing. ScaleOps dynamically manages CPU and memory requests on production workloads without triggering restarts or evictions.
GitOps-Native Control
ScaleOps integrates natively with GitOps workflows, enabling all platform actions to be defined and managed as code. It provides fine-grained control across workloads, namespaces, and clusters, and works out of the box with Argo CD, Flux, and any CI/CD pipeline.
Auto-Detect Custom Workloads
ScaleOps supports all workloads types, even custom ones. It automatically detects any custom workload and automatically selects the right scaling policy.
Cloud Resource Management Reinvented
Boost Performance & Reliability
Ensure consistent performance and uptime, even in the most dynamic environments.
Free Your Engineers
Eliminate repeated manual tuning forever, allowing you to focus on innovation.
Cut Costs by 80%
Pay only for the cloud resources you need without compromising performance.