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What is Splunk Infrastructure Monitoring?

Presenting the ultimate solution for multicloud monitoring that delivers real-time analytics across a variety of environments, formerly recognized as SignalFx. This advanced platform supports monitoring in any setting thanks to its highly scalable streaming architecture. It boasts flexible and open data collection methods, allowing for rapid service visualizations in just seconds. Tailored for the fast-paced and transient nature of cloud-native environments, it is compatible with diverse scales including Kubernetes, containers, and serverless architectures. Users can quickly identify, visualize, and resolve issues as they arise, ensuring they maintain seamless operations. The system enhances real-time infrastructure performance monitoring at cloud scale through cutting-edge predictive streaming analytics. With over 200 pre-built integrations for various cloud services and readily available dashboards, it streamlines the visualization of your complete operational stack. Furthermore, the platform is equipped to autodiscover, categorize, group, and analyze different clouds, services, and systems with ease. This all-encompassing solution not only clarifies how your infrastructure interacts across multiple services, availability zones, and Kubernetes clusters but also significantly boosts operational efficiency and response times, making it an indispensable tool for modern IT environments. Ultimately, it empowers organizations to maintain optimal performance and adaptability in an ever-evolving cloud landscape.

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 EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon Redshift
Amazon Web Services (AWS)
Apache Kafka
C1Risk
Docker
Google Cloud Platform
HubSpot Content Hub
InsightFinder
LIAPP
Microsoft Azure
NetBrain
Splunk User Behavior Analytics
Squadcast
WatchGuard WIPS
Wyebot
effx

Integrations Supported

Kubernetes

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

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

Training Options

Documentation Hub

Company Facts

Organization Name

Cisco

Date Founded

1984

Company Location

United States

Company Website

www.splunk.com/en_us/software/infrastructure-monitoring.html

Company Facts

Organization Name

Kubestone

Company Website

kubestone.io/en/latest/

Categories and Features

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Hardware Monitoring

Not specified

IT Infrastructure Monitoring

Alerts / Notifications
Application Monitoring
Configuration Change Management
Data Movement Monitoring
Performance Monitoring
Reporting / Analytics

Log Analysis

Not specified

Log Monitoring

Not specified

Observability

Not specified

Server Monitoring

Not specified

Categories and Features

Container Monitoring

Not specified

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