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mc-observability-insight

This repository provides a Monitoring system of M-CMP.

A sub-system of M-CMP platform to deploy and manage Multi-Cloud Infrastructures.

Overview

  • The package of this repository is a multi-cloud integrated monitoring framework that provides integrated monitoring capabilities for larger-scale infrastructure services and Kubernetes(K8S) services in a heterogeneous cloud integration environment.
  • It offers insights based on operational management information.
  • Through integrated monitoring and operational management of multi-clouds, it avoids the complexity between different clouds and centralizes management, enabling stable and efficient system operation.
  • The overall flow of the integrated system is as follows: Information, Metrics, events, and log details of the monitoring target are collected through the cloud API and agents installed on vitual servers or physical equipment.

How to Use

Development environment

  • MariaDB (10.7.6)
  • InfluxDB (1.8.10)
  • Python (3.11.9)
  • fastapi (0.97.0)
  • apache-airflow (2.8.4)

1. Install & Run Services

[Initialize mc-observability](# mc-observability-insight

This repository provides a Monitoring system of M-CMP.

A sub-system of M-CMP platform to deploy and manage Multi-Cloud Infrastructures.

Overview

  • The package of this repository is a multi-cloud integrated monitoring framework that provides integrated monitoring capabilities for larger-scale infrastructure services and Kubernetes(K8S) services in a heterogeneous cloud integration environment.
  • It offers insights based on operational management information.
  • Through integrated monitoring and operational management of multi-clouds, it avoids the complexity between different clouds and centralizes management, enabling stable and efficient system operation.
  • The overall flow of the integrated system is as follows: Information, Metrics, events, and log details of the monitoring target are collected through the cloud API and agents installed on vitual servers or physical equipment.\

How to Use

Development environment

  • MariaDB (10.7.6)
  • InfluxDB (1.8.10)
  • Python (3.11.9)
  • fastapi (0.97.0)
  • apache-airflow (2.8.4)

1. Install & Run Services

Initialize mc-observability
The installation process of the Insight module is included in the installation process of the mc-observability java-module (No. 1 to No. 7). Therefore, there is no need for a separate installation process.

※ In order to use the Insight function, data collection of monitoring items used in the Insight function is required in advance. Therefore, the process of installing the mc-observability agent and adding the plug-in must be preceded.

2. Insight Module API server swagger docs

You can check swagger-ui by connecting to '/docs' on port 9001 of mc-observability installation url.

Ex: http://observability_VM_PUBLIC_IP:9001/docs

3. Insight Module Scheduler UI

You can check the scheduler UI by accessing port 9002 of the mc-observerability installation url.
The initial connection account is "admin/admin".

Ex: http://observability_VM_PUBLIC_IP:9002

4. API usage examples

API can be used as shown in the example below.

curl -X 'GET' \
  'http://observability_VM_PUBLIC_IP:18080/api/o11y/insight/anomaly-detection/options' \
  -H 'accept: application/json'

5. Insight Module API Usage Scenario

Detailed API usage scenarios are written in the link below.
API Usage Scenario