StormForge

Founded 2015

Rightsize Kubernetes CPU and memory allocations automatically to cut cloud infrastructure costs

Pricing model

Demo

You can use StormForge to manage Kubernetes cluster resource allocations and eliminate cloud overspending without risking downtime. The agent runs inside your cluster to track resource usage and automatically adjust CPU and memory requests or limits for individual pods. It harmonizes horizontal pod autoscaling with vertical sizing to stop out-of-memory errors and performance bottlenecks. You can also forecast cost impacts, review recommendations before deploying them, and align workload sizing with actual negotiated cloud billing rates, ensuring developers retain visibility and control over production workloads.

What StormForge does

Install the metrics collection agent using HelmAnalyze CPU and memory utilization patterns across podsSet automated deployment thresholds for pod rightsizingGenerate configuration patches for continuous integration pipelinesCalculate cost savings against contracted cloud provider billing ratesTune JVM heap limits to prevent pod terminationTrack utilization benchmarks across cluster workloadsContinuous vertical sizing for Kubernetes container CPU and memory requests and limitsBi-dimensional autoscaling harmonizing Horizontal Pod Autoscaling with vertical adjustmentsDirect connection to cloud bills reflecting negotiated rates and committed use discountsAutomated recommendation deployment with built-in health checks and rollback safetyJava Virtual Machine heap and memory allocation tuningLocal cluster agent metrics collection ensuring workload application data remains privateGPU resource allocation and tuning in early access

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Kubernetes

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