An active monitoring software to detect failures before your customers do.

Lets Map Your Network enables you to visualise your physical network in form of graph with zero manual error

OVH VPS/Cloud Monitoring via OVH API

Cloud Monitoring and Alerting Tool built by SIESGSTarena Platform Team (WIP)

Catalyst to Meraki migration tool and bot

Redis monitoring application for performance and prediction of failure. Used Pang Data Cloud Monitoring Service.

Android Application for Epicentre Instance (Contributions Encouraged!)

A repository showing example analysis of time series data.

Demo project showing how to connect mabl test results to a Google Cloud Monitoring (erstwhile Stackdriver) monitoring metric

Alerting System connected to Discord (via webhook) by implementing Event-Driven Architecture (EDA).

EC2 Inspector is a tool that will allow you to view, collect and export data from all EC2 instances in an account. With a panel where you can create users and assign them permissions, you will inspect and monitor your EC2 instances

Full-stack observability with a unified monitoring.

OpenCore is a strong and simple Kubernetes Monitoring and Management solution.

Environment : Java | Get the API key for cloud monitoring tool Zabbix. Supply your ID and password to get the API key.

Terraform module to provision an IBM Cloud Monitoring instance in an IBM Cloud account

Openstack's Nova Instance Monitoring tool NIMO tracks life cycle events of VM instances and notifies VM boot sequence stages

How to configure an ELK stack server in order to set up a cloud monitoring system.

This repository focuses on cloud computing and demonstrates how to set up virtual machines, S3, and other services using LocalStack. It provides a comprehensive guide to simulating AWS services locally for development and testing purposes.

grafana/prometheus monitor / log EKS cluster

An application level monitoring tool developed using PHP for cloud based services deployed on Rancher. Includes code for the Web UI that allows users to login to and view their cloud workloads. The metrics corresponding to these workloads can then be viewed in the form of Bar Charts, Line Graphs and Gauge Meters.