@ -150,7 +150,7 @@ For convenience, configuration through modifying environment variables is recomm
+ **Description**: API address.
+ **Note**: If the server has an external IP, it will be automatically obtained. For internal networks, set this variable to the IP serving internally.
```
```bash
export API_URL="http://ip:10002"
```
@ -412,7 +412,7 @@ Configuration for Grafana, including its port and address.
* 3. [Setting Up and Configuring AlertManager Using Environment Variables and `make init`](#SettingUpandConfiguringAlertManagerUsingEnvironmentVariablesandmakeinit)
* 3.3.5. [Useful Links for Common Email Servers](#UsefulLinksforCommonEmailServers)
* 3.4. [Conclusion](#Conclusion)
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OpenIM offers various flexible deployment options to suit different environments and requirements. Here is a simplified and optimized description of these deployment options:
1. Source Code Deployment:
+ **Regular Source Code Deployment**: Deployment using the `nohup` method. This is a basic deployment method suitable for development and testing environments. For details, refer to the [Regular Source Code Deployment Guide](https://docs.openim.io/guides/gettingStarted/imSourceCodeDeployment).
+ **Regular Source Code Deployment**: Deployment using the `nohup` method. This is a basic deployment method suitable for development and testing environments. For details, refer to the [Regular Source Code Deployment Guide](https://docs.openim.io/).
+ **Production-Level Deployment**: Deployment using the `system` method, more suitable for production environments. This method provides higher stability and reliability. For details, refer to the [Production-Level Deployment Guide](https://docs.openim.io/guides/gettingStarted/install-openim-linux-system).
2. Cluster Deployment:
+ **Kubernetes Deployment**: Provides two deployment methods, including deployment through Helm and sealos. This is suitable for environments that require high availability and scalability. Specific methods can be found in the [Kubernetes Deployment Guide](https://docs.openim.io/guides/gettingStarted/k8s-deployment).
@ -22,9 +49,9 @@ OpenIM offers various flexible deployment options to suit different environments
Next, we will introduce the specific steps, monitoring, and management backend configuration for each of these deployment methods, as well as usage tips to help you choose the most suitable deployment option according to your needs.
OpenIM deploys openim-server and openim-chat from source code, while other components are deployed via Docker.
@ -43,11 +70,11 @@ make init
docker compose up -d
```
### Configuration
### 1.2. <aname='Configuration'></a>Configuration
To configure Prometheus data sources in Grafana, follow these steps:
1. **Log in to Grafana**: First, open your web browser and access the Grafana URL. If you haven't changed the port, the address is typically [http://localhost:3000](http://localhost:3000/).
1. **Log in to Grafana**: First, open your web browser and access the Grafana URL. If you haven't changed the port, the address is typically [http://localhost:13000](http://localhost:13000/).
2. **Log in with default credentials**: Grafana's default username and password are both `admin`. You will be prompted to change the password on your first login.
@ -135,18 +162,18 @@ To monitor OpenIM in Grafana, you need to focus on three categories of key metri
### Monitoring Running in Docker Guide
### 1.3. <aname='MonitoringRunninginDockerGuide'></a>Monitoring Running in Docker Guide
This guide provides the steps to run OpenIM using Docker. OpenIM is an open-source instant messaging solution that can be quickly deployed using Docker. For more information, please refer to the [OpenIM Docker GitHub](https://github.com/openimsdk/openim-docker).
+ If you encounter any issues, please check the documentation on [OpenIM Docker GitHub](https://github.com/openimsdk/openim-docker) or search for related issues in the Issues section.
+ If the problem persists, you can create an issue on the [openim-docker](https://github.com/openimsdk/openim-docker/issues/new/choose) repository or the [openim-server](https://github.com/openimsdk/open-im-server/issues/new/choose) repository.
## Kubernetes
## 2. <aname='Kubernetes'></a>Kubernetes
Refer to [openimsdk/helm-charts](https://github.com/openimsdk/helm-charts).
When deploying and monitoring OpenIM in a Kubernetes environment, you will focus on three main metrics: middleware, custom OpenIM metrics, and Node Exporter. Here are detailed steps and guidelines:
Custom OpenIM metrics provide essential information about the OpenIM application itself, such as user activity, message traffic, system performance, and more. To monitor these metrics in Kubernetes:
+ When deploying using Helm charts (refer to [OpenIM Helm Charts](https://github.com/openimsdk/helm-charts)), pay attention to configuring relevant monitoring settings.
### Node Exporter
### 2.3. <aname='NodeExporter'></a>Node Exporter
Node Exporter is used to collect hardware and operating system-level metrics for Kubernetes nodes, such as CPU, memory, disk usage, and more. To integrate Node Exporter in Kubernetes:
+ Deploy Node Exporter using the appropriate Helm chart. You can find information and guides on [Prometheus Community](https://prometheus.io/docs/guides/node-exporter/).
+ Ensure Node Exporter's data is collected by Prometheus instances within your cluster.
## 3. <aname='SettingUpandConfiguringAlertManagerUsingEnvironmentVariablesandmakeinit'></a>Setting Up and Configuring AlertManager Using Environment Variables and `make init`
### 3.1. <aname='Introduction-1'></a>Introduction
AlertManager, a component of the Prometheus monitoring system, handles alerts sent by client applications such as the Prometheus server. It takes care of deduplicating, grouping, and routing them to the correct receiver. This document outlines how to set up and configure AlertManager using environment variables and the `make init` command. We will focus on configuring key fields like the sender's email, SMTP settings, and SMTP authentication password.
Before initializing AlertManager, you need to set environment variables. These variables are used to configure the AlertManager settings without altering the code. Use the `export` command in your terminal. Here are some key variables you might set:
After setting the necessary environment variables, you can initialize AlertManager by running the `make init` command. This command typically runs a script that prepares AlertManager with the provided configuration.
##### a. Sender's Email (`ALERTMANAGER_SMTP_FROM`)
This variable sets the email address that will appear as the sender in the notifications sent by AlertManager.
##### b. SMTP Configuration
+ **SMTP Server (`ALERTMANAGER_SMTP_SMARTHOST`):** Specifies the address and port of the SMTP server used for sending emails.
+ **SMTP Authentication Username (`ALERTMANAGER_SMTP_AUTH_USERNAME`):** The username for authenticating with the SMTP server.
+ **SMTP Authentication Password (`ALERTMANAGER_SMTP_AUTH_PASSWORD`):** The password for SMTP server authentication. It's crucial to keep this value secure.
The SMTP authentication password can be set using the `ALERTMANAGER_SMTP_AUTH_PASSWORD` environment variable. It's recommended to use a secure method to set this variable to avoid exposing sensitive information. For instance, you might read the password from a secure file or a secret management tool.
#### 3.3.5. <aname='UsefulLinksforCommonEmailServers'></a>Useful Links for Common Email Servers
For specific configurations related to common email servers, you may refer to their respective documentation:
Setting up and configuring AlertManager with environment variables provides a flexible and secure way to manage alert settings. By following the above steps, you can easily configure AlertManager for your monitoring needs. Always ensure to secure sensitive information, especially when dealing with SMTP authentication credentials.
lin.huang
2 years ago
