CloudMonix icon
CloudMonix icon

CloudMonix

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CloudMonix provides advanced cloud monitoring and automation for applications and services deployed on the Microsoft Azure and AWS platforms and built with MSPs, CSPs and DevOps in mind.

CloudMonix screenshot 1

License model

  • FreemiumProprietary

Platforms

  • Online
  • Amazon Web Services
  • Microsoft Azure
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Features

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  1.  Website Monitoring
  2.  Cloud Monitoring
  3.  Uptime Monitoring
  4.  Hardware Monitoring
  5.  Services monitoring
  6.  Server Monitoring
  7.  Data visualization
  8.  Performance Monitoring
  9.  Logging
  10.  Web Log Analysis
  11.  Auto Scaling
  12.  Application Monitoring

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CloudMonix information

  • Developed by

    Paraleap Technologies
  • Licensing

    Proprietary and Freemium product.
  • Pricing

    Subscription ranging between $75 and $1500 per month + free version with limited functionality.
  • Alternatives

    131 alternatives listed
  • Supported Languages

    • English

Our users have written 0 comments and reviews about CloudMonix, and it has gotten 1 likes

CloudMonix was added to AlternativeTo by papirov on Dec 16, 2017 and this page was last updated Mar 11, 2019.
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What is CloudMonix?

CloudMonix provides advanced cloud monitoring and automation for applications and services deployed on the Microsoft Azure and AWS platforms and built with MSPs, CSPs and DevOps in mind.

It is an essential tool for advanced insight into system performance, immediate notifications on malfunctions via turnkey integrations and a robust API, resources auto-scaling and self-healing.

KEY FEATURES:

Visualize: get all your systems and resources in one place with live data feed.

Track: set metrics and track key performance indicators with granular control.

Control: stay in control of production issues by receiving immediate notifications via turn-key third-party integrations and robust API.

Automate:

  • PowerShell actions - automate execution of scripts to ensure uninterrupted service;
  • self-healing - automate recovery procedures by scripting common responses to production issues;
  • compute and auto-scale resources based on metrics from the monitored environment.

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