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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 Parca?

Achieving a thorough grasp of how your application performs in a production setting requires the regular application of continuous profiling methods. By ensuring that data collection remains lightweight, you will always be equipped with essential profiling insights at any moment. It's common for organizations to discover that a notable portion of their resources, often between 20-30%, is wasted due to inefficient coding practices. The Parca Agent streamlines the profiling workflow by removing the necessity for instrumentation throughout your entire system; simply deploy it, and you’re set! As the Parca tool accumulates profiling data over time, it facilitates the precise identification of critical code paths that need improvement, while also allowing for comparisons of various queries, which could include different software versions or other significant parameters. This insightful profiling information not only clarifies the specific code that a process runs over time but also aids in diagnosing complex issues like memory leaks or unexpected spikes in CPU and I/O usage that could disrupt normal operations. Armed with these findings, teams can better distribute their resources and focus their optimization strategies for optimal results. Ultimately, this proactive approach empowers organizations to enhance their applications' efficiency and reliability considerably.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Linux

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

Parca

Company Website

www.parca.dev/

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

Observability

Not specified

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