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ScaleOps

ScaleOps is a platform that automates real-time Kubernetes resource management by optimizing CPU and memory allocation based on actual usage, significantly reducing operational costs. The technology enables organizations to lower their Kubernetes expenses by up to 80% while enhancing cluster reliability and performance in production environments.

East New York, United StatesFounded 2022547K+ followers
Updated 20 months ago

Funding

$58M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Managing Kubernetes resources can be complex and inefficient, often leading to over-provisioning and wasted cloud spending. Manual tuning of CPU and memory allocation is time-consuming for engineers, and can result in performance bottlenecks or instability in production environments.

Solution

ScaleOps provides an automated Kubernetes resource optimization platform that dynamically adjusts CPU and memory allocation based on real-time application needs. By continuously analyzing resource usage, ScaleOps automatically rightsizes pods, optimizing resource requests and limits to match actual demand. This approach reduces cloud costs by eliminating over-provisioning, while also improving application performance and cluster reliability through proactive workload management and smart pod placement. The platform offers comprehensive cost monitoring and troubleshooting tools, providing enhanced visibility into compute, network, and GPU expenses.

Target Audience

ScaleOps targets DevOps teams, platform engineers, and cloud infrastructure managers who are responsible for optimizing Kubernetes environments and reducing cloud spending.

Features

  • Automatic real-time pod rightsizing based on actual resource utilization
  • Intelligent pod placement to ensure critical workloads are correctly scheduled
  • Comprehensive Kubernetes cost monitoring for compute, network, and GPU resources
  • Cluster and workload troubleshooting dashboards for proactive issue management
  • Real-time automation adapts to demand, freeing engineers from manual tuning
  • Integration with Azure Marketplace, AWS Marketplace, and Google Cloud Platform
  • Self-hosted deployment option for enhanced data security
This profile is AI-generated and may contain inaccuracies.