ScaleOps

About 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.

```xml <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. </problem> <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. </solution> <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 </features> <target_audience> ScaleOps targets DevOps teams, platform engineers, and cloud infrastructure managers who are responsible for optimizing Kubernetes environments and reducing cloud spending. </target_audience> <revenue_model> Not enough information to provide revenue model. </revenue_model> ```

What does ScaleOps do?

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.

Where is ScaleOps located?

ScaleOps is based in East New York, United States.

When was ScaleOps founded?

ScaleOps was founded in 2022.

How much funding has ScaleOps raised?

ScaleOps has raised 58000000.

Location
East New York, United States
Founded
2022
Funding
58000000
Employees
54 employees
Major Investors
Lightspeed Venture Partners
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ScaleOps

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

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.

scaleops.com7K+
cb
Crunchbase
Founded 2022East New York, United States

Funding

$

Estimated Funding

$58M+

Major Investors

Lightspeed Venture Partners

Team (50+)

Guy Baron

CTO

Dan Amiga

CTO

Company Description

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.

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

Target Audience

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

Revenue Model

Not enough information to provide revenue model.

ScaleOps - Funding: $50M+ | StartupSeeker