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new 52fd30d19b0 Add a blog (#547)
52fd30d19b0 is described below
commit 52fd30d19b07d4dba39c2e0d29e9ab748bd202b9
Author: Jimmy Song <[email protected]>
AuthorDate: Tue Dec 13 19:32:26 2022 +0800
Add a blog (#547)
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+---
+title: "如何在 AWS EKS 和 RDS/Aurora 上运行 Apache SkyWalking"
+date: 2022-12-13
+author: "[柯振旭](https://github.com/kezhenxu94)"
+description: "介绍如何在 AWS EKS 和 RDS/Aurora 上快速搭建 Apache SkyWalking。"
+tags:
+- SkyWalking
+- Observability
+- Demo
+- AWS
+- RDS
+- Aurora
+---
+
+## 介绍
+
+Apache SkyWalking 是一个开源的 APM
工具，用于监控分布式系统和排除故障，特别是为微服务、云原生和基于容器（Docker、Kubernetes、Mesos）的架构而设计。它提供分布式跟踪、服务网格可观测性、指标聚合和可视化以及警报。
+
+在本文中，我将介绍如何在 AWS EKS 和 RDS/Aurora 上快速设置 Apache SkyWalking，以及几个示例服务，监控服务以观察
SkyWalking 本身。
+
+## 先决条件
+
+- AWS 账号
+- [AWS
CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html)
+- [Terraform](https://www.terraform.io/downloads.html)
+- [kubectl](https://kubernetes.io/docs/tasks/tools/#kubectl)
+
+我们可以使用 AWS Web 控制台或 CLI 来创建本教程所需的所有资源，但是当出现问题时，它可能过于繁琐且难以调试。因此，在本文中，我将使用
Terraform 创建所有 AWS 资源、部署 SkyWalking、示例服务和负载生成器服务 (Locust)。
+
+## 架构
+
+演示架构如下：
+
+```mermaid
+graph LR
+ subgraph AWS
+ subgraph EKS
+ subgraph istio-system namespace
+ direction TB
+ OAP[[SkyWalking OAP]]
+ UI[[SkyWalking UI]]
+ Istio[[istiod]]
+ end
+ subgraph sample namespace
+ Service0[[Service0]]
+ Service1[[Service1]]
+ ServiceN[[Service ...]]
+ end
+ subgraph locust namespace
+ LocustMaster[[Locust Master]]
+ LocustWorkers0[[Locust Worker 0]]
+ LocustWorkers1[[Locust Worker 1]]
+ LocustWorkersN[[Locust Worker ...]]
+ end
+ end
+ RDS[[RDS/Aurora]]
+ end
+ OAP --> RDS
+ Service0 -. telemetry data -.-> OAP
+ Service1 -. telemetry data -.-> OAP
+ ServiceN -. telemetry data -.-> OAP
+ UI --query--> OAP
+ LocustWorkers0 -- traffic --> Service0
+ LocustWorkers1 -- traffic --> Service0
+ LocustWorkersN -- traffic --> Service0
+ Service0 --> Service1 --> ServiceN
+ LocustMaster --> LocustWorkers0
+ LocustMaster --> LocustWorkers1
+ LocustMaster --> LocustWorkersN
+ User --> LocustMaster
+```
+
+如架构图所示，我们需要创建以下 AWS 资源：
+
+- EKS 集群
+- RDS 实例或 Aurora 集群
+
+听起来很简单，但背后有很多东西，比如 VPC、子网、安全组等。你必须正确配置它们以确保 EKS 集群可以连接到 RDS 实例 / Aurora 集群，否则
SkyWalking 不会不工作。幸运的是，Terraform 可以帮助我们自动创建和销毁所有这些资源。
+
+我创建了一个 Terraform 模块来创建本教程所需的所有 AWS 资源，您可以在 [GitHub
存储库](https://github.com/kezhenxu94/oap-load-test/tree/main/aws)中找到它。
+
+## 创建 AWS 资源
+
+首先，我们需要将 GitHub 存储库克隆 `cd` 到文件夹中：
+
+```bash
+git clone https://github.com/kezhenxu94/oap-load-test.git
+```
+
+然后，我们需要创建一个文件 `terraform.tfvars` 来指定 AWS 区域和其他变量：
+
+```bash
+cat > terraform.tfvars <<EOF
+aws_access_key = ""
+aws_secret_key = ""
+cluster_name = "skywalking-on-aws"
+region = "ap-east-1"
+db_type = "rds-postgresql"
+EOF
+```
+
+如果您已经配置了 AWS CLI，则可以跳过 `aws_access_key` 和 `aws_secret_key` 变量。要使用 RDS
postgresql 安装 SkyWalking，请将 `db_type` 设置为 `rds-postgresql`，要使用 Aurora
postgresql 安装 SkyWalking，请将 `db_type` 设置为 `aurora-postgresql`。
+
+您可以配置许多其他变量，例如标签、示例服务计数、副本等，您可以在 variables.tf
中找到[它们](https://github.com/kezhenxu94/oap-load-test/blob/main/aws/variables.tf)。
+
+然后，我们可以运行以下命令来初始化 Terraform 模块并下载所需的提供程序，然后创建所有 AWS 资源：
+
+```bash
+terraform init
+terraform apply -var-file=terraform.tfvars
+```
+
+键入 `yes` 以确认所有 AWS 资源的创建，或将标志 `-auto-approve` 添加到 `terraform apply` 以跳过确认：
+
+```bash
+terraform apply -var-file=terraform.tfvars -auto-approve
+```
+
+现在你需要做的就是等待所有 AWS 资源的创建完成，这可能需要几分钟的时间。您可以在 AWS Web 控制台查看创建进度，也可以查看 EKS
集群内部服务的部署进度。
+
+## 产生流量
+
+除了创建必要的 AWS 资源外，Terraform 模块还将 SkyWalking、示例服务和 Locust 负载生成器服务部署到 EKS 集群。
+
+您可以访问 Locust Web UI 以生成到示例服务的流量：
+
+```bash
+open http://$(kubectl get svc -n locust -l app=locust-master -o
jsonpath='{.items[0].status.loadBalancer.ingress[0].hostname}'):8089
+```
+
+该命令将浏览器打开到 Locust web UI，您可以配置用户数量和孵化率以生成流量。
+
+## 观察 SkyWalking
+
+您可以访问 SkyWalking Web UI 来观察示例服务。
+
+首先需要将 SkyWalking UI 端口转发到本地：
+
+```bash
+kubectl -n istio-system port-forward $(kubectl -n istio-system get pod -l
app=skywalking -l component=ui -o name) 8080:8080
+```
+
+然后在浏览器中打开 http://localhost:8080 访问 SkyWalking web UI。
+
+## 观察 RDS/Aurora
+
+您也可以访问 RDS/Aurora web 控制台，观察 RDS/Aurora 实例 / Aurora 集群的性能。
+
+## 试验结果
+
+### 测试 1：使用 EKS 和 RDS PostgreSQL 的 SkyWalking
+
+#### 服务流量
+
+
+
+
+#### RDS 性能
+
+
+
+
+
+#### SkyWalking 性能
+
+
+
+
+
+
+
+### 测试 2：使用 EKS 和 Aurora PostgreSQL 的 SkyWalking
+
+#### 服务流量
+
+
+
+
+#### RDS 性能
+
+
+
+
+
+#### SkyWalking 性能
+
+
+
+
+
+
+
+## 清理
+
+完成演示后，您可以运行以下命令销毁所有 AWS 资源：
+
+```bash
+terraform destroy -var-file=terraform.tfvars -auto-approve
+```
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