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What is MayaData?

Leveraging OpenEBS alongside Kubera represents the ideal approach for fulfilling storage requirements within Kubernetes ecosystems. OpenEBS is distinguished as the foremost open-source storage solution for Kubernetes, celebrated for its rapid performance and operational efficiency. Kubera amplifies the capabilities of OpenEBS Mayastor through an intuitive graphical interface, comprehensive APIs, automated health checks, customizable configurations, Active Directory integration, built-in performance metrics, and various operators that simplify upgrades and other processes. Offered at no charge by MayaData, Kubera also delivers continuous support, aiding customers in reducing operational costs and enhancing management processes. Furthermore, Kubera Propel is a cloud-native declarative data plane developed in Rust, constructed on the robust OpenEBS Mayastor framework. This state-of-the-art platform incorporates advanced technologies such as NVMe, SPDK, and emerging storage functionalities within the Linux kernel. Independent performance tests have shown that OpenEBS, when managed through Kubera Propel, consistently delivers exceptionally low latency for databases and diverse workloads on Kubernetes, making it a superb option for both developers and organizations. The synergy between these solutions not only boosts performance but also effectively responds to the growing need for dependable and efficient storage options in contemporary computing landscapes. As the demand for robust storage solutions continues to rise, this combination positions itself as a future-ready choice for businesses seeking to optimize their infrastructure.

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 Cassandra
Apache Kafka
Cloud Foundry
DigitalOcean
Elasticsearch
Equinix
IBM Cloud
Magento
Microsoft Azure
MinIO
Percona Kubernetes Operator
Prometheus
Rancher
Red Hat OpenShift
VMware Tanzu

Integrations Supported

Kubernetes

API Availability

API Availability

Has API

Pricing Information

$100 per node per month

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

MayaData

Date Founded

2011

Company Location

United States

Company Website

mayadata.io/product

Company Facts

Organization Name

Kubestone

Company Website

kubestone.io/en/latest/

Categories and Features

Cloud Storage

Not specified

Hybrid Cloud Storage

Not specified

Categories and Features

Container Monitoring

Not specified

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