🚀 ScaleOps Launches In-Place Pod Resizing. Read more → 

Industry Leaders Using ScaleOps Automation in Production

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.

Burst Reaction in Real-Time

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%

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.

Seamless GitOps Integration

ScaleOps integrates seamlessly into your existing GitOps and CI/CD workflows. No custom scripts, no friction. Works out of the box with ArgoCD, 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.

Instant Value with Seamless Automation

Install with a single helm command. That’s it.

Start Optimizing K8s Resources in Minutes!

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