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Showing 4 open source projects for "network monitoring tool with python"

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  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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  • Field Service Management Software | BlueFolder Icon
    Field Service Management Software | BlueFolder

    Maximize technician productivity with intuitive field service software

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  • 1
    GreenHop

    GreenHop

    Energy and environmental monitoring of the server room

    The solution GreenHop aims to perform energy and environmental (temperature, humidity, dew point and atmospheric pressure) monitoring of the Data Center server room, providing energy efficiency indicators through green metrics for Data Centers. The GreenHop solution is based on open source software and hardware. The approach of using open source solutions enables its deployment easier and independently of suppliers at the same time makes the solution scalable to the needs of each...
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  • 2
    Enterprise Server LiveInventory, and Rapid Build & Deploy System. Hotwire is an integrated inventory system and a rapid deploy tool targeted at servicing small to enterprise-sized environments.
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  • 3
    Naraio is LAMP like software. It contains Apache, MySQL, PHP, Perl, Openssl, Phpmyadmin, OpenLDAP, Subversion, Ruby, Python, Phpldapadmin, and Trac. Trac and Subversion are authenticates user with integrated ldap. Naraio is easy, secure and flexible.
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  • 4
    RoofTop is a network/systems monitoring (NSM) tool that leverages SNMP standards to deliver critical health and performance monitoring through device based reports and graphs, event notifications, alerts, and configurable alarm thresholds.
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  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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