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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.

What is ContainIQ?

Our comprehensive solution enables you to monitor the health of your cluster effectively and address issues more rapidly through user-friendly dashboards that integrate seamlessly. With clear and cost-effective pricing, getting started is simple and straightforward. ContainIQ deploys three agents within your cluster: a single replica deployment that collects metrics and events from the Kubernetes API, alongside two daemon sets—one that focuses on capturing latency data from each pod on the node and another that handles logging for all pods and containers. You can analyze latency metrics by microservice and path, including p95, p99, average response times, and requests per second (RPS). The system is operational right away without requiring additional application packages or middleware. You have the option to set alerts for critical changes and utilize a search feature to filter data by date ranges while tracking trends over time. All incoming and outgoing requests, along with their associated metadata, can be examined. You can also visualize P99, P95, average latency, and error rates over time for specific URL paths, allowing for effective log correlation tied to specific traces, which is crucial for troubleshooting when challenges arise. This all-encompassing strategy guarantees that you have every tool necessary to ensure peak performance and rapidly identify any issues that may surface, allowing your operations to run smoothly and efficiently.

Media

Media

Integrations Supported

Kubernetes

Integrations Supported

Kubernetes
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$20 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Kubestone

Company Website

kubestone.io/en/latest/

Company Facts

Organization Name

ContainIQ

Company Location

United States

Company Website

www.containiq.com

Categories and Features

Container Monitoring

Not specified

Categories and Features

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Observability

Not specified

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