posts/deployment-and-design-of-management-backend-and-monitoring/

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Deployment and Design of Management Backend and Monitoring | This Englist

This post guides you through the process of deploying OpenIM using Docker, setting up the management backend, and monitoring the application. It provides detailed steps for beginners and insights for more advanced users.

https://nsddd.top/posts/deployment-and-design-of-management-backend-and-monitoring/

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Deployment Methods and Monitoring Configuration for OpenIM: Nohup, System, Kubernetes, Docker, Prometheus, Grafana, Middleware, Troubleshooting, Integration

1. Source Code Deployment:

   • Regular source code deployment method using the nohup method for development and testing environments.
   • Production-level deployment using the system method, providing higher stability and reliability for production environments.

2. Cluster Deployment:

   • Kubernetes deployment methods through Helm and sealos, suitable for high availability and scalability.
   • Regular Docker deployment suitable for quick deployments and small projects.

3. Docker Compose Deployment:

   • Provides more convenient service management and configuration for complex multi-container applications.
   • Configuration of Prometheus data sources in Grafana and the specific steps required.

4. Key Metrics Overview and Deployment Steps:

   • Specific deployment and configuration steps for OpenIM metrics, Node Exporter, and middleware monitoring.
   • Monitoring and configuration guidelines for essential middleware components like MySQL, Redis, MongoDB, Kafka, and Zookeeper.

5. Running OpenIM in Docker:

   • Cloning the OpenIM Docker repository and starting the service using Docker Compose.
   • Accessing the OpenIM Web Interface, Admin Panel, and Monitoring Interface for further configuration and management.

6. Troubleshooting and Next Steps:

   • Steps to troubleshoot issues encountered, including referencing documentation and creating related issues on the repository.
   • Referencing the README file for advanced configuration and management of OpenIM source code.

7. Kubernetes Environment Monitoring:

   • Monitoring guidelines and steps for middleware components, custom OpenIM metrics, and Node Exporter in Kubernetes environments.
   • Integrating Node Exporter and ensuring data collection by Prometheus instances within the cluster.

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TheNewStack_PlatformEngineering_WhatYouNeedtoKnowNow.pdf

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