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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

A centralized approach driven by AI and machine learning is designed to handle vast quantities of IT-related data sourced from various platforms. This approach enhances the responsiveness of multiple teams to outages and performance issues while ensuring seamless interaction with IT service management technologies. By employing AIOps, organizations can effectively address daily IT operational challenges on a large scale, utilizing a range of advanced techniques such as machine learning, network science, combinatorial optimization, and additional computational methods. AIOps equips enterprises to manage an extensive array of IT management tasks, which includes intelligent alerting, correlating alerts, escalating alerts, automating remediation, investigating root causes, and optimizing capacity. Implementing a structured framework enables the proactive refinement of processes, resources, personnel, information, and communication channels. Continuous oversight and optimization of operations are essential, allowing for 24/7 management of IT functions. Additionally, establishing effective processes helps minimize the disruptive noise that often accompanies incident occurrences, ultimately leading to a more streamlined IT environment. This comprehensive strategy can significantly enhance overall operational efficiency and reliability.

Description

Metoro serves as an AI Site Reliability Engineer tailored for Kubernetes environments, assisting Site Reliability Engineers, DevOps professionals, and software developers in managing production effectively. This innovative tool autonomously oversees both services and infrastructure to identify any issues as they emerge, subsequently diagnosing the root causes and implementing solutions by creating pull requests. Utilizing eBPF, Metoro gathers all necessary telemetry without requiring modifications to the codebase, ensuring that every container, service, and host is monitored at the kernel level in real-time. Users can effortlessly deploy Metoro into their clusters with a single helm install command, leading to a fully operational setup in approximately five minutes. Its seamless integration and rapid deployment make it an invaluable asset for teams looking to enhance their operational efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Infraon Infinity
JSON

Integrations

Infraon Infinity
JSON

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$20/host/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Infraon

Founded

2021

Country

United States

Website

infraon.io/infraon-aiops.html

Vendor Details

Company Name

Metoro

Founded

2023

Country

United States

Website

metoro.io

Product Features

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Product Features

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