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What is ScaleOps?

Dramatically lower your Kubernetes costs by up to 80% while simultaneously enhancing the reliability of your cluster through advanced, real-time automation that considers application context for critical production configurations. Our groundbreaking method of managing cloud resources leverages our distinctive technology, which enables real-time automation and application awareness, empowering cloud-native applications to achieve their fullest capabilities. By implementing intelligent resource optimization and automating workload management, you can significantly reduce Kubernetes expenditures by ensuring resources are utilized only when needed, all while sustaining exceptional performance levels. Elevate your Kubernetes environment for peak application efficiency and fortify cluster reliability with both proactive and reactive strategies that quickly resolve challenges stemming from unexpected traffic surges and overloaded nodes, fostering stability and consistent performance. The setup process is exceptionally swift, taking only 2 minutes, and begins with read-only permissions, enabling you to immediately reap the benefits our platform offers for your applications, paving the way for enhanced resource management. With our solution, you'll not only decrease your expenses but also improve operational efficiency and application responsiveness in real-time, ensuring your infrastructure can adapt seamlessly to changing demands. Experience the transformative power of our technology and watch as your Kubernetes environment becomes more efficient and cost-effective than ever before.

What is Kubestone?

Meet Kubestone, the dedicated operator designed specifically for benchmarking in Kubernetes environments. This tool empowers users to effectively evaluate the performance metrics of their Kubernetes configurations. It comes with a comprehensive set of benchmarks aimed at assessing CPU, disk, network, and application performance. Users enjoy detailed control over Kubernetes scheduling features, such as affinity, anti-affinity, tolerations, storage classes, and node selection. Adding new benchmarks is a simple process that involves creating a new controller. Benchmark executions are managed through custom resources, leveraging various Kubernetes components like pods, jobs, deployments, and services. To initiate your benchmarking journey, consult the quickstart guide that outlines the steps for deploying Kubestone and running benchmarks. You can initiate benchmark tests by creating the required custom resources within your cluster. After setting up the necessary namespace, it can be used to submit benchmark requests, with all executions neatly organized within that namespace. This efficient process not only simplifies monitoring but also enhances the analysis of performance across your Kubernetes applications, ultimately leading to more informed decision-making regarding resource allocation and optimization.

Media

Media

Integrations Supported

Kubernetes
Amazon Web Services (AWS)
Apache Flink
Apache Spark
Flux CD
GitHub
Google Cloud Platform
Hunters
Island
Microsoft Azure
Orca Security
Outbrain
Outreach
PayU
SentinelOne Singularity
ShareChat
Wiz

Integrations Supported

Kubernetes

API Availability

API Availability

Has API

Pricing Information

$5 per month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

ScaleOps

Date Founded

2022

Company Location

United States

Company Website

scaleops.com

Company Facts

Organization Name

Kubestone

Company Website

kubestone.io/en/latest/

Categories and Features

Workload Automation

Not specified

Categories and Features

Container Monitoring

Not specified

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