feat: add more services

.github/instructions/base.instructions.md

@@ -41,6 +41,6 @@ When contributing to or maintaining this project, you must adhere to the followi
 ## 3. Summary & Attention Points
 
 * **User Experience:** The ultimate goal is simplicity. A user should not need to hunt for Helm flags; they should just run `make install` and get a sensible default deployment.
-* **Source Quality:** Priority is given to official or widely trusted community Charts (like Bitnami) to ensure stability.
+* **Source Quality:** Priority is given to official or widely trusted community Charts (Prohibited from using Bitnami) to ensure stability.
 * **Localization:** Do not skip the Chinese documentation (`README.zh.md`); it is a strict requirement for this project.
 * **Consistency:** Ensure all Makefiles follow the same variable naming convention defined in `src/_template` to prevent breaking the inheritance chain.

src/duckdb/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= duckdb
+HELM_APPLICATION_NAME ?= duckdb
+HELM_NAMESPACE ?= duckdb
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= jupyterhub
+HELM_REPO_URL ?= https://hub.jupyter.org/helm-chart/
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/jupyterhub
+HELM_LANE ?=
+
+include ../_template/base.mk

src/duckdb/README.md

@@ -0,0 +1,51 @@
+# DuckDB (via JupyterHub)
+
+## Introduction
+
+DuckDB is an in-process SQL OLAP database management system. Since DuckDB is an embedded database and doesn't have a server mode, this deployment uses JupyterHub with DuckDB pre-installed to provide a notebook environment for data analysis with DuckDB.
+
+## Installation
+
+To install JupyterHub with DuckDB support, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n duckdb
+```
+
+To access JupyterHub:
+
+```bash
+kubectl port-forward svc/proxy-public 8080:80 -n duckdb
+```
+
+Then open <http://localhost:8080> in your browser.
+
+## Using DuckDB
+
+In a Jupyter notebook, you can use DuckDB with Python:
+
+```python
+import duckdb
+
+# Connect to DuckDB
+con = duckdb.connect()
+
+# Run SQL queries
+con.execute("SELECT 42").fetchall()
+
+# Query data files directly
+con.execute("SELECT * FROM 'data.parquet' LIMIT 10").fetchdf()
+```
+
+## Documentation
+
+- [Official DuckDB Documentation](https://duckdb.org/docs/)
+- [JupyterHub Helm Chart Source](https://github.com/jupyterhub/helm-chart)

src/duckdb/README.zh.md

@@ -0,0 +1,51 @@
+# DuckDB (通过 JupyterHub)
+
+## 简介
+
+DuckDB 是一个进程内 SQL OLAP 数据库管理系统。由于 DuckDB 是嵌入式数据库，没有服务器模式，此部署使用预装了 DuckDB 的 JupyterHub 来提供用于 DuckDB 数据分析的笔记本环境。
+
+## 安装
+
+要安装支持 DuckDB 的 JupyterHub，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n duckdb
+```
+
+访问 JupyterHub：
+
+```bash
+kubectl port-forward svc/proxy-public 8080:80 -n duckdb
+```
+
+然后在浏览器中打开 <http://localhost:8080>。
+
+## 使用 DuckDB
+
+在 Jupyter 笔记本中，您可以使用 Python 使用 DuckDB：
+
+```python
+import duckdb
+
+# 连接到 DuckDB
+con = duckdb.connect()
+
+# 运行 SQL 查询
+con.execute("SELECT 42").fetchall()
+
+# 直接查询数据文件
+con.execute("SELECT * FROM 'data.parquet' LIMIT 10").fetchdf()
+```
+
+## 文档
+
+- [官方 DuckDB 文档](https://duckdb.org/docs/)
+- [JupyterHub Helm Chart 源码](https://github.com/jupyterhub/helm-chart)

src/duckdb/values.yaml

@@ -0,0 +1,38 @@
+# JupyterHub Helm Chart Values for DuckDB environment
+# https://github.com/jupyterhub/zero-to-jupyterhub-k8s/blob/main/jupyterhub/values.yaml
+
+# Default values for duckdb/jupyterhub
+# This is a YAML-formatted file
+
+hub:
+  config:
+    Authenticator:
+      admin_users:
+        - admin
+    JupyterHub:
+      admin_access: true
+      authenticator_class: dummy
+      password: admin
+  services: {}
+  baseUrl: /
+
+proxy:
+  service:
+    type: ClusterIP
+
+singleuser:
+  image:
+    name: jupyter/datascience-notebook
+    tag: latest
+  defaultUrl: /lab
+  extraEnv:
+    - name: JUPYTER_ENABLE_LAB
+      value: yes
+  cmd: jupyterhub-singleuser
+  storage:
+    type: dynamic
+    capacity: 10Gi
+
+prePuller:
+  hook:
+    enabled: false

src/flink/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= flink
+HELM_APPLICATION_NAME ?= flink
+HELM_NAMESPACE ?= flink
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= flink-operator
+HELM_REPO_URL ?= https://downloads.apache.org/flink/flink-kubernetes-operator-1.9.0/
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/flink-operator
+HELM_LANE ?=
+
+include ../_template/base.mk

src/flink/README.md

@@ -0,0 +1,29 @@
+# Apache Flink
+
+## Introduction
+
+Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.
+
+## Installation
+
+To install Apache Flink Kubernetes Operator, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n flink
+```
+
+To deploy a Flink job, create a FlinkDeployment custom resource.
+
+## Documentation
+
+- [Official Flink Documentation](https://nightlies.apache.org/flink/flink-docs-stable/)
+- [Flink Kubernetes Operator Documentation](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-stable/)
+- [Helm Chart Source](https://github.com/apache/flink-kubernetes-operator)

src/flink/README.zh.md

@@ -0,0 +1,29 @@
+# Apache Flink
+
+## 简介
+
+Apache Flink 是一个框架和分布式处理引擎，用于在无界和有界数据流上进行状态计算。Flink 旨在在所有常见的集群环境中运行，以内存速度和任何规模执行计算。
+
+## 安装
+
+要安装 Apache Flink Kubernetes Operator，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n flink
+```
+
+要部署 Flink 作业，请创建 FlinkDeployment 自定义资源。
+
+## 文档
+
+- [官方 Flink 文档](https://nightlies.apache.org/flink/flink-docs-stable/)
+- [Flink Kubernetes Operator 文档](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-stable/)
+- [Helm Chart 源码](https://github.com/apache/flink-kubernetes-operator)

src/flink/values.yaml

@@ -0,0 +1,20 @@
+# Flink Kubernetes Operator Helm Chart Values
+# https://github.com/apache/flink-kubernetes-operator/blob/main/helm/flink-kubernetes-operator/values.yaml
+
+# Default values for flink-operator
+# This is a YAML-formatted file
+
+image:
+  repository: flink-kubernetes-operator
+  pullPolicy: IfNotPresent
+
+replicas: 1
+
+webhook:
+  create: true
+
+defaultConfiguration:
+  create: true
+  flink-conf.yaml: |
+    kubernetes.operator.metrics.enabled: true
+    kubernetes.operator.metrics.port: 9999

src/gitea-runner/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= gitea-runner
+HELM_APPLICATION_NAME ?= gitea-runner
+HELM_NAMESPACE ?= gitea-runner
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= gitea-charts
+HELM_REPO_URL ?= https://dl.gitea.com/charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/actions
+HELM_LANE ?=
+
+include ../_template/base.mk

src/gitea-runner/README.md

@@ -0,0 +1,37 @@
+# Gitea Actions Runner
+
+## Introduction
+
+Gitea Actions Runner (act_runner) is the runner for Gitea Actions. This Helm chart deploys the Gitea act-runners alongside a running Gitea instance.
+
+## Installation
+
+To install Gitea Actions Runner, run:
+
+```bash
+make install
+```
+
+## Configuration
+
+Before installation, you need to configure the runner in values.yaml:
+
+```yaml
+statefulset:
+  actRunner:
+    config: |
+      # Your Gitea instance URL and registration token
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n gitea-runner
+```
+
+## Documentation
+
+- [Official Gitea Documentation](https://docs.gitea.com/usage/actions/overview)
+- [Helm Chart Source](https://gitea.com/gitea/helm-actions)

src/gitea-runner/README.zh.md

@@ -0,0 +1,37 @@
+# Gitea Actions Runner
+
+## 简介
+
+Gitea Actions Runner (act_runner) 是 Gitea Actions 的运行器。此 Helm chart 在正在运行的 Gitea 实例旁边部署 Gitea act-runners。
+
+## 安装
+
+要安装 Gitea Actions Runner，请运行：
+
+```bash
+make install
+```
+
+## 配置
+
+在安装之前，您需要在 values.yaml 中配置 runner：
+
+```yaml
+statefulset:
+  actRunner:
+    config: |
+      # 您的 Gitea 实例 URL 和注册令牌
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n gitea-runner
+```
+
+## 文档
+
+- [官方 Gitea 文档](https://docs.gitea.com/usage/actions/overview)
+- [Helm Chart 源码](https://gitea.com/gitea/helm-actions)

src/gitea-runner/values.yaml

@@ -0,0 +1,38 @@
+# Gitea Actions Helm Chart Values
+# https://gitea.com/gitea/helm-actions/src/branch/main/values.yaml
+
+# Default values for gitea-actions
+# This is a YAML-formatted file
+
+statefulset:
+  replicaCount: 1
+  timezone: Etc/UTC
+
+  actRunner:
+    registry: docker.gitea.com
+    repository: act_runner
+    tag: 0.2.13
+    pullPolicy: IfNotPresent
+    config: |
+      log:
+        level: info
+      runner:
+        file: .runner
+        capacity: 1
+        timeout: 1h
+        shutdown_timeout: 0s
+      cache:
+        enabled: true
+        dir: "/root/.cache/actcache"
+      container:
+        network: ""
+        privileged: false
+        options: ""
+        valid_volumes: []
+      host:
+        workdir_parent: "/root/.cache/act"
+
+  dind:
+    registry: ''
+    repository: docker
+    tag: 28.3.3-dind

src/gitea/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= gitea
+HELM_APPLICATION_NAME ?= gitea
+HELM_NAMESPACE ?= gitea
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= gitea
+HELM_REPO_URL ?= https://dl.gitea.com/charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/gitea
+HELM_LANE ?=
+
+include ../_template/base.mk

src/gitea/README.md

@@ -0,0 +1,34 @@
+# Gitea
+
+## Introduction
+
+Gitea is a community managed lightweight code hosting solution written in Go. It is published under the MIT license and is a painless self-hosted Git service.
+
+## Installation
+
+To install Gitea, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n gitea
+```
+
+To access Gitea:
+
+```bash
+kubectl port-forward svc/gitea-http 3000:3000 -n gitea
+```
+
+Then open <http://localhost:3000> in your browser.
+
+## Documentation
+
+- [Official Gitea Documentation](https://docs.gitea.com/)
+- [Helm Chart Source](https://gitea.com/gitea/helm-chart)

src/gitea/README.zh.md

@@ -0,0 +1,34 @@
+# Gitea
+
+## 简介
+
+Gitea 是一个社区管理的轻量级代码托管解决方案，使用 Go 语言编写。它根据 MIT 许可证发布，是一个无痛的自托管 Git 服务。
+
+## 安装
+
+要安装 Gitea，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n gitea
+```
+
+访问 Gitea：
+
+```bash
+kubectl port-forward svc/gitea-http 3000:3000 -n gitea
+```
+
+然后在浏览器中打开 <http://localhost:3000>。
+
+## 文档
+
+- [官方 Gitea 文档](https://docs.gitea.com/)
+- [Helm Chart 源码](https://gitea.com/gitea/helm-chart)

src/gitea/values.yaml

@@ -0,0 +1,32 @@
+# Gitea Helm Chart Values
+# https://gitea.com/gitea/helm-chart/src/branch/main/values.yaml
+
+# Default values for gitea
+# This is a YAML-formatted file
+
+replicaCount: 1
+
+image:
+  repository: gitea/gitea
+  tag: latest
+  pullPolicy: IfNotPresent
+
+service:
+  http:
+    type: ClusterIP
+    port: 3000
+  ssh:
+    type: ClusterIP
+    port: 22
+
+gitea:
+  config:
+    APP_NAME: 'Gitea: Git with a cup of tea'
+    repository:
+      ROOT: /data/git/gitea-repositories
+    server:
+      ROOT_URL: http://gitea.local/
+    database:
+      DB_TYPE: sqlite3
+    security:
+      INSTALL_LOCK: true

src/gitlab-runner/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= gitlab-runner
+HELM_APPLICATION_NAME ?= gitlab-runner
+HELM_NAMESPACE ?= gitlab-runner
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= gitlab
+HELM_REPO_URL ?= https://charts.gitlab.io
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/gitlab-runner
+HELM_LANE ?=
+
+include ../_template/base.mk

src/gitlab-runner/README.md

@@ -0,0 +1,35 @@
+# GitLab Runner
+
+## Introduction
+
+GitLab Runner is the open-source project that is used to run your jobs and send the results back to GitLab. It is used together with GitLab CI/CD, the open-source continuous integration service included with GitLab.
+
+## Installation
+
+To install GitLab Runner, run:
+
+```bash
+make install
+```
+
+## Configuration
+
+Before installation, you need to configure the runner registration token in values.yaml:
+
+```yaml
+gitlabUrl: 'https://gitlab.example.com'
+runnerRegistrationToken: YOUR_REGISTRATION_TOKEN
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n gitlab-runner
+```
+
+## Documentation
+
+- [Official GitLab Runner Documentation](https://docs.gitlab.com/runner/)
+- [Helm Chart Source](https://gitlab.com/gitlab-org/charts/gitlab-runner)

src/gitlab-runner/README.zh.md

@@ -0,0 +1,35 @@
+# GitLab Runner
+
+## 简介
+
+GitLab Runner 是一个开源项目，用于运行您的作业并将结果发送回 GitLab。它与 GitLab CI/CD 一起使用，这是 GitLab 包含的开源持续集成服务。
+
+## 安装
+
+要安装 GitLab Runner，请运行：
+
+```bash
+make install
+```
+
+## 配置
+
+在安装之前，您需要在 values.yaml 中配置 runner 注册令牌：
+
+```yaml
+gitlabUrl: 'https://gitlab.example.com'
+runnerRegistrationToken: YOUR_REGISTRATION_TOKEN
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n gitlab-runner
+```
+
+## 文档
+
+- [官方 GitLab Runner 文档](https://docs.gitlab.com/runner/)
+- [Helm Chart 源码](https://gitlab.com/gitlab-org/charts/gitlab-runner)

src/gitlab-runner/values.yaml

@@ -0,0 +1,29 @@
+# GitLab Runner Helm Chart Values
+# https://gitlab.com/gitlab-org/charts/gitlab-runner/-/blob/main/values.yaml
+
+# Default values for gitlab-runner
+# This is a YAML-formatted file
+
+image:
+  repository: gitlab/gitlab-runner
+  tag: alpine
+  pullPolicy: IfNotPresent
+
+gitlabUrl: 'https://gitlab.example.com'
+runnerRegistrationToken: ''
+
+concurrent: 10
+
+rbac:
+  create: true
+  rules:
+    - apiGroups: ['']
+      resources: [pods, pods/exec, pods/attach, secrets, configmaps]
+      verbs: [get, list, watch, create, patch, delete, update]
+
+runners:
+  config: |
+    [[runners]]
+      [runners.kubernetes]
+        namespace = "{{.Release.Namespace}}"
+        image = "ubuntu:22.04"

src/gitlab/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= gitlab
+HELM_APPLICATION_NAME ?= gitlab
+HELM_NAMESPACE ?= gitlab
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= gitlab
+HELM_REPO_URL ?= https://charts.gitlab.io
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/gitlab
+HELM_LANE ?=
+
+include ../_template/base.mk

src/gitlab/README.md

@@ -0,0 +1,40 @@
+# GitLab
+
+## Introduction
+
+GitLab is a web-based DevOps lifecycle tool that provides a Git repository manager providing wiki, issue-tracking, and CI/CD pipeline features.
+
+## Installation
+
+To install GitLab, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n gitlab
+```
+
+To access GitLab:
+
+```bash
+kubectl port-forward svc/gitlab-webservice-default 8080:8080 -n gitlab
+```
+
+Then open <http://localhost:8080> in your browser.
+
+To get the initial root password:
+
+```bash
+kubectl get secret gitlab-gitlab-initial-root-password -n gitlab -ojsonpath='{.data.password}' | base64 --decode
+```
+
+## Documentation
+
+- [Official GitLab Documentation](https://docs.gitlab.com/)
+- [Helm Chart Source](https://gitlab.com/gitlab-org/charts/gitlab)

src/gitlab/README.zh.md

@@ -0,0 +1,40 @@
+# GitLab
+
+## 简介
+
+GitLab 是一个基于 Web 的 DevOps 生命周期工具，提供 Git 仓库管理器，具有 wiki、问题跟踪和 CI/CD 管道功能。
+
+## 安装
+
+要安装 GitLab，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n gitlab
+```
+
+访问 GitLab：
+
+```bash
+kubectl port-forward svc/gitlab-webservice-default 8080:8080 -n gitlab
+```
+
+然后在浏览器中打开 <http://localhost:8080>。
+
+获取初始 root 密码：
+
+```bash
+kubectl get secret gitlab-gitlab-initial-root-password -n gitlab -ojsonpath='{.data.password}' | base64 --decode
+```
+
+## 文档
+
+- [官方 GitLab 文档](https://docs.gitlab.com/)
+- [Helm Chart 源码](https://gitlab.com/gitlab-org/charts/gitlab)

src/gitlab/values.yaml

@@ -0,0 +1,27 @@
+# GitLab Helm Chart Values
+# https://gitlab.com/gitlab-org/charts/gitlab/-/blob/master/values.yaml
+
+# Default values for gitlab
+# This is a YAML-formatted file
+
+global:
+  edition: ce
+  hosts:
+    domain: gitlab.local
+    hostSuffix: ''
+    https: false
+  ingress:
+    enabled: false
+  initialRootPassword:
+    key: password
+    secret: gitlab-gitlab-initial-root-password
+
+gitlab:
+  webservice:
+    enabled: true
+    minReplicas: 1
+    maxReplicas: 1
+  sidekiq:
+    enabled: true
+    minReplicas: 1
+    maxReplicas: 1

src/grafana/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= grafana
+HELM_APPLICATION_NAME ?= grafana
+HELM_NAMESPACE ?= grafana
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= grafana
+HELM_REPO_URL ?= https://grafana.github.io/helm-charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/grafana
+HELM_LANE ?=
+
+include ../_template/base.mk

src/grafana/README.md

@@ -0,0 +1,36 @@
+# Grafana
+
+## Introduction
+
+Grafana is a multi-platform open-source analytics and interactive visualization web application. It provides charts, graphs, and alerts for the web when connected to supported data sources.
+
+## Installation
+
+To install Grafana, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n grafana
+```
+
+To access Grafana:
+
+```bash
+kubectl port-forward svc/grafana 3000:3000 -n grafana
+```
+
+Then open <http://localhost:3000> in your browser.
+
+Default credentials: admin/admin
+
+## Documentation
+
+- [Official Grafana Documentation](https://grafana.com/docs/)
+- [Helm Chart Source](https://github.com/grafana/helm-charts/tree/main/charts/grafana)

src/grafana/README.zh.md

@@ -0,0 +1,36 @@
+# Grafana
+
+## 简介
+
+Grafana 是一个多平台开源分析和交互式可视化 Web 应用程序。当连接到支持的数据源时，它为 Web 提供图表、图形和警报。
+
+## 安装
+
+要安装 Grafana，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n grafana
+```
+
+访问 Grafana：
+
+```bash
+kubectl port-forward svc/grafana 3000:3000 -n grafana
+```
+
+然后在浏览器中打开 <http://localhost:3000>。
+
+默认凭据：admin/admin
+
+## 文档
+
+- [官方 Grafana 文档](https://grafana.com/docs/)
+- [Helm Chart 源码](https://github.com/grafana/helm-charts/tree/main/charts/grafana)

src/grafana/values.yaml

@@ -0,0 +1,26 @@
+# Grafana Helm Chart Values
+# https://github.com/grafana/helm-charts/blob/main/charts/grafana/values.yaml
+
+# Default values for grafana
+# This is a YAML-formatted file
+
+replicas: 1
+
+image:
+  repository: grafana/grafana
+  tag: latest
+  pullPolicy: IfNotPresent
+
+service:
+  type: ClusterIP
+  port: 3000
+
+admin:
+  existingSecret: ''
+  passwordKey: admin-password
+  userKey: admin-user
+
+persistence:
+  enabled: true
+  type: pvc
+  size: 10Gi

src/harbor/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= harbor
+HELM_APPLICATION_NAME ?= harbor
+HELM_NAMESPACE ?= harbor
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= harbor
+HELM_REPO_URL ?= https://helm.goharbor.io
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/harbor
+HELM_LANE ?=
+
+include ../_template/base.mk

src/harbor/README.md

@@ -0,0 +1,36 @@
+# Harbor
+
+## Introduction
+
+Harbor is an open-source trusted cloud-native registry project that stores, signs, and scans content. Harbor extends the open-source Docker Distribution by adding the functionalities usually required by users such as security, identity, and management.
+
+## Installation
+
+To install Harbor, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n harbor
+```
+
+To access Harbor Portal:
+
+```bash
+kubectl port-forward svc/harbor-portal 8080:80 -n harbor
+```
+
+Then open <http://localhost:8080> in your browser.
+
+Default credentials: admin/Harbor12345
+
+## Documentation
+
+- [Official Harbor Documentation](https://goharbor.io/docs/)
+- [Helm Chart Source](https://github.com/goharbor/harbor-helm)

src/harbor/README.zh.md

@@ -0,0 +1,36 @@
+# Harbor
+
+## 简介
+
+Harbor 是一个开源的受信任云原生注册表项目，用于存储、签名和扫描内容。Harbor 通过添加用户通常需要的功能（如安全性、身份和管理）来扩展开源 Docker Distribution。
+
+## 安装
+
+要安装 Harbor，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n harbor
+```
+
+访问 Harbor 门户：
+
+```bash
+kubectl port-forward svc/harbor-portal 8080:80 -n harbor
+```
+
+然后在浏览器中打开 <http://localhost:8080>。
+
+默认凭据：admin/Harbor12345
+
+## 文档
+
+- [官方 Harbor 文档](https://goharbor.io/docs/)
+- [Helm Chart 源码](https://github.com/goharbor/harbor-helm)

src/harbor/values.yaml

@@ -0,0 +1,22 @@
+# Harbor Helm Chart Values
+# https://github.com/goharbor/harbor-helm/blob/master/values.yaml
+
+# Default values for harbor
+# This is a YAML-formatted file
+
+expose:
+  type: ingress
+  tls:
+    enabled: false
+  ingress:
+    hosts:
+      core: harbor.local
+      notary: notary.harbor.local
+
+externalURL: https://harbor.local
+
+harborAdminPassword: Harbor12345
+
+persistence:
+  enabled: true
+  resourcePolicy: keep

src/hbase/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= hbase
+HELM_APPLICATION_NAME ?= hbase
+HELM_NAMESPACE ?= hbase
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= kubeblocks
+HELM_REPO_URL ?= https://kubeblocks.io/charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/hbase-cluster
+HELM_LANE ?=
+
+include ../_template/base.mk

src/hbase/README.md

@@ -0,0 +1,32 @@
+# Apache HBase
+
+## Introduction
+
+Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. It provides Bigtable-like capabilities on top of Hadoop and HDFS.
+
+## Installation
+
+To install Apache HBase, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n hbase
+```
+
+To access HBase shell:
+
+```bash
+kubectl exec -it hbase-master-0 -n hbase -- hbase shell
+```
+
+## Documentation
+
+- [Official HBase Documentation](https://hbase.apache.org/book.html)
+- [Helm Chart Source](https://github.com/apecloud/kubeblocks-addons/tree/main/addons/hbase)

src/hbase/README.zh.md

@@ -0,0 +1,32 @@
+# Apache HBase
+
+## 简介
+
+Apache HBase 是一个开源的、分布式的、版本化的、非关系型数据库，模仿 Google's Bigtable。它在 Hadoop 和 HDFS 之上提供类似 Bigtable 的功能。
+
+## 安装
+
+要安装 Apache HBase，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n hbase
+```
+
+访问 HBase shell：
+
+```bash
+kubectl exec -it hbase-master-0 -n hbase -- hbase shell
+```
+
+## 文档
+
+- [官方 HBase 文档](https://hbase.apache.org/book.html)
+- [Helm Chart 源码](https://github.com/apecloud/kubeblocks-addons/tree/main/addons/hbase)

src/hbase/values.yaml

@@ -0,0 +1,22 @@
+# HBase Helm Chart Values
+# https://github.com/apecloud/kubeblocks-addons/blob/main/addons/hbase/values.yaml
+
+# Default values for hbase
+# This is a YAML-formatted file
+
+nameOverride: ''
+fullnameOverride: ''
+
+hbase:
+  master:
+    replicas: 1
+    resources:
+      requests:
+        cpu: 100m
+        memory: 512Mi
+  regionServer:
+    replicas: 1
+    resources:
+      requests:
+        cpu: 100m
+        memory: 512Mi

src/kong/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= kong
+HELM_APPLICATION_NAME ?= kong
+HELM_NAMESPACE ?= kong
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= kong
+HELM_REPO_URL ?= https://charts.konghq.com
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/kong
+HELM_LANE ?=
+
+include ../_template/base.mk

src/kong/README.md

@@ -0,0 +1,38 @@
+# Kong Gateway
+
+## Introduction
+
+Kong Gateway is a lightweight, fast, and flexible cloud-native API gateway. It is built on NGINX and OpenResty and provides a scalable, high-performance gateway for APIs and microservices.
+
+## Installation
+
+To install Kong Gateway, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n kong
+```
+
+To access Kong Admin API:
+
+```bash
+kubectl port-forward svc/kong-admin 8001:8001 -n kong
+```
+
+To access Kong Proxy:
+
+```bash
+kubectl port-forward svc/kong-proxy 8000:8000 -n kong
+```
+
+## Documentation
+
+- [Official Kong Documentation](https://docs.konghq.com/)
+- [Helm Chart Source](https://github.com/Kong/charts)

src/kong/README.zh.md

@@ -0,0 +1,38 @@
+# Kong Gateway
+
+## 简介
+
+Kong Gateway 是一个轻量级、快速、灵活的云原生 API 网关。它基于 NGINX 和 OpenResty 构建，为 API 和微服务提供可扩展的高性能网关。
+
+## 安装
+
+要安装 Kong Gateway，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n kong
+```
+
+访问 Kong Admin API：
+
+```bash
+kubectl port-forward svc/kong-admin 8001:8001 -n kong
+```
+
+访问 Kong Proxy：
+
+```bash
+kubectl port-forward svc/kong-proxy 8000:8000 -n kong
+```
+
+## 文档
+
+- [官方 Kong 文档](https://docs.konghq.com/)
+- [Helm Chart 源码](https://github.com/Kong/charts)

src/kong/values.yaml

@@ -0,0 +1,27 @@
+# Kong Helm Chart Values
+# https://github.com/Kong/charts/blob/main/charts/kong/values.yaml
+
+# Default values for kong
+# This is a YAML-formatted file
+
+image:
+  repository: kong
+  tag: '3.5'
+  pullPolicy: IfNotPresent
+
+replicaCount: 1
+
+ingressController:
+  enabled: true
+  installCRDs: false
+
+proxy:
+  type: LoadBalancer
+  http:
+    enabled: true
+    servicePort: 80
+    containerPort: 8000
+  tls:
+    enabled: true
+    servicePort: 443
+    containerPort: 8443

src/litellm/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= litellm
+HELM_APPLICATION_NAME ?= litellm
+HELM_NAMESPACE ?= litellm
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= litellm
+HELM_REPO_URL ?= https://berriai.github.io/litellm-helm
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/litellm-helm
+HELM_LANE ?=
+
+include ../_template/base.mk

src/litellm/README.md

@@ -0,0 +1,28 @@
+# LiteLLM
+
+## Introduction
+
+LiteLLM is a unified API to call over 100+ LLM APIs (OpenAI, Anthropic, Azure, VertexAI, Bedrock, Cohere, Mistral, Ollama, etc.) using the OpenAI format.
+
+## Installation
+
+To install LiteLLM, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n litellm
+```
+
+To configure LiteLLM, edit the values.yaml file with your LLM provider API keys.
+
+## Documentation
+
+- [Official LiteLLM Documentation](https://docs.litellm.ai/)
+- [Helm Chart Source](https://github.com/BerriAI/litellm/tree/main/deploy/charts/litellm-helm)

src/litellm/README.zh.md

@@ -0,0 +1,28 @@
+# LiteLLM
+
+## 简介
+
+LiteLLM 是一个统一的 API，可以使用 OpenAI 格式调用 100+ 个 LLM API（OpenAI、Anthropic、Azure、VertexAI、Bedrock、Cohere、Mistral、Ollama 等）。
+
+## 安装
+
+要安装 LiteLLM，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n litellm
+```
+
+要配置 LiteLLM，请在 values.yaml 文件中编辑您的 LLM 提供商 API 密钥。
+
+## 文档
+
+- [官方 LiteLLM 文档](https://docs.litellm.ai/)
+- [Helm Chart 源码](https://github.com/BerriAI/litellm/tree/main/deploy/charts/litellm-helm)

src/litellm/values.yaml

@@ -0,0 +1,22 @@
+# LiteLLM Helm Chart Values
+# https://github.com/BerriAI/litellm/blob/main/deploy/charts/litellm-helm/values.yaml
+
+# Default values for litellm
+# This is a YAML-formatted file
+
+image:
+  repository: ghcr.io/berriai/litellm-database
+  tag: latest
+  pullPolicy: IfNotPresent
+
+replicaCount: 1
+
+config:
+  # LiteLLM proxy configuration
+  # See: https://docs.litellm.ai/docs/proxy/configs
+  config.yaml: |
+    model_list:
+      - model_name: openai-gpt-4
+        litellm_params:
+          model: openai/gpt-4
+          api_key: os.environ/OPENAI_API_KEY

src/loki/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= loki
+HELM_APPLICATION_NAME ?= loki
+HELM_NAMESPACE ?= loki
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= grafana
+HELM_REPO_URL ?= https://grafana.github.io/helm-charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/loki
+HELM_LANE ?=
+
+include ../_template/base.mk

src/loki/README.md

@@ -0,0 +1,29 @@
+# Grafana Loki
+
+## Introduction
+
+Grafana Loki is a horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost-effective and easy to operate.
+
+## Installation
+
+To install Grafana Loki, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n loki
+```
+
+To configure Loki as a data source in Grafana, use the URL:
+`http://loki.loki.svc.cluster.local:3100`
+
+## Documentation
+
+- [Official Loki Documentation](https://grafana.com/docs/loki/latest/)
+- [Helm Chart Source](https://github.com/grafana/helm-charts/tree/main/charts/loki)

src/loki/README.zh.md

@@ -0,0 +1,29 @@
+# Grafana Loki
+
+## 简介
+
+Grafana Loki 是一个水平可扩展、高可用、多租户的日志聚合系统，受 Prometheus 启发。它旨在非常经济高效且易于操作。
+
+## 安装
+
+要安装 Grafana Loki，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n loki
+```
+
+要在 Grafana 中将 Loki 配置为数据源，请使用 URL：
+`http://loki.loki.svc.cluster.local:3100`
+
+## 文档
+
+- [官方 Loki 文档](https://grafana.com/docs/loki/latest/)
+- [Helm Chart 源码](https://github.com/grafana/helm-charts/tree/main/charts/loki)

src/loki/values.yaml

@@ -0,0 +1,18 @@
+# Loki Helm Chart Values
+# https://github.com/grafana/helm-charts/blob/main/charts/loki/values.yaml
+
+# Default values for loki
+# This is a YAML-formatted file
+
+loki:
+  auth_enabled: false
+  commonConfig:
+    replication_factor: 1
+  storage:
+    type: filesystem
+
+singleBinary:
+  replicas: 1
+  persistence:
+    enabled: true
+    size: 10Gi

src/mlflow/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= mlflow
+HELM_APPLICATION_NAME ?= mlflow
+HELM_NAMESPACE ?= mlflow
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= community-charts
+HELM_REPO_URL ?= https://community-charts.github.io
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/mlflow
+HELM_LANE ?=
+
+include ../_template/base.mk

src/mlflow/README.md

@@ -0,0 +1,34 @@
+# MLflow
+
+## Introduction
+
+MLflow is an open-source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
+
+## Installation
+
+To install MLflow, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n mlflow
+```
+
+To access MLflow UI:
+
+```bash
+kubectl port-forward svc/mlflow 5000:5000 -n mlflow
+```
+
+Then open <http://localhost:5000> in your browser.
+
+## Documentation
+
+- [Official MLflow Documentation](https://mlflow.org/docs/latest/index.html)
+- [Helm Chart Source](https://github.com/community-charts/helm-charts/tree/main/charts/mlflow)

src/mlflow/README.zh.md

@@ -0,0 +1,34 @@
+# MLflow
+
+## 简介
+
+MLflow 是一个开源平台，用于管理机器学习生命周期，包括实验、可重复性、部署和中央模型注册表。
+
+## 安装
+
+要安装 MLflow，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n mlflow
+```
+
+访问 MLflow UI：
+
+```bash
+kubectl port-forward svc/mlflow 5000:5000 -n mlflow
+```
+
+然后在浏览器中打开 <http://localhost:5000>。
+
+## 文档
+
+- [官方 MLflow 文档](https://mlflow.org/docs/latest/index.html)
+- [Helm Chart 源码](https://github.com/community-charts/helm-charts/tree/main/charts/mlflow)

src/mlflow/values.yaml

@@ -0,0 +1,26 @@
+# MLflow Helm Chart Values
+# https://github.com/community-charts/helm-charts/blob/main/charts/mlflow/values.yaml
+
+# Default values for mlflow
+# This is a YAML-formatted file
+
+replicaCount: 1
+
+image:
+  repository: burakince/mlflow
+  tag: latest
+  pullPolicy: IfNotPresent
+
+service:
+  type: ClusterIP
+  port: 5000
+
+backendStore:
+  databaseMigration: true
+  postgres:
+    enabled: true
+    host: postgresql
+    port: 5432
+    database: mlflow
+    user: mlflow
+    password: mlflow

src/mysql/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= mysql
+HELM_APPLICATION_NAME ?= mysql-innodbcluster
+HELM_NAMESPACE ?= mysql
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= mysql-operator
+HELM_REPO_URL ?= https://mysql.github.io/mysql-operator/
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/mysql-innodbcluster
+HELM_LANE ?=
+
+include ../_template/base.mk

src/mysql/README.md

@@ -0,0 +1,33 @@
+# MySQL (Oracle MySQL Operator)
+
+## Introduction
+
+MySQL Operator for Kubernetes manages MySQL InnoDB Cluster in Kubernetes. It is brought to you by the MySQL team at Oracle.
+
+## Installation
+
+To install MySQL Operator and MySQL InnoDB Cluster, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n mysql
+```
+
+To connect to MySQL:
+
+```bash
+kubectl exec -it mysql-0 -n mysql -- mysql -uroot -p
+```
+
+## Documentation
+
+- [Official MySQL Documentation](https://dev.mysql.com/doc/)
+- [MySQL Operator Documentation](https://dev.mysql.com/doc/mysql-operator/en/)
+- [Helm Chart Source](https://github.com/mysql/mysql-operator)

src/mysql/README.zh.md

@@ -0,0 +1,33 @@
+# MySQL (Oracle MySQL Operator)
+
+## 简介
+
+MySQL Operator for Kubernetes 在 Kubernetes 中管理 MySQL InnoDB 集群。它由 Oracle 的 MySQL 团队提供。
+
+## 安装
+
+要安装 MySQL Operator 和 MySQL InnoDB 集群，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n mysql
+```
+
+连接 MySQL：
+
+```bash
+kubectl exec -it mysql-0 -n mysql -- mysql -uroot -p
+```
+
+## 文档
+
+- [官方 MySQL 文档](https://dev.mysql.com/doc/)
+- [MySQL Operator 文档](https://dev.mysql.com/doc/mysql-operator/en/)
+- [Helm Chart 源码](https://github.com/mysql/mysql-operator)

src/mysql/values.yaml

@@ -0,0 +1,19 @@
+# MySQL InnoDB Cluster Helm Chart Values
+# https://github.com/mysql/mysql-operator/blob/main/helm/mysql-innodbcluster/values.yaml
+
+# Default values for mysql-innodbcluster
+# This is a YAML-formatted file
+
+credentials:
+  root:
+    host: '%'
+    password: password
+    user: root
+
+serverInstances: 3
+
+router:
+  instances: 1
+
+tls:
+  useSelfSigned: true

src/nacos/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= nacos
+HELM_APPLICATION_NAME ?= nacos
+HELM_NAMESPACE ?= nacos
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= nacos
+HELM_REPO_URL ?= https://nacos-charts.storage.googleapis.com
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/nacos
+HELM_LANE ?=
+
+include ../_template/base.mk

src/nacos/README.md

@@ -0,0 +1,36 @@
+# Nacos
+
+## Introduction
+
+Nacos is an easy-to-use platform designed for dynamic service discovery, configuration management, and service management. It helps you build cloud-native applications and microservices more quickly and easily.
+
+## Installation
+
+To install Nacos, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n nacos
+```
+
+To access Nacos Console:
+
+```bash
+kubectl port-forward svc/nacos 8848:8848 -n nacos
+```
+
+Then open <http://localhost:8848/nacos> in your browser.
+
+Default credentials: nacos/nacos
+
+## Documentation
+
+- [Official Nacos Documentation](https://nacos.io/en-us/docs/what-is-nacos.html)
+- [Helm Chart Source](https://github.com/nacos-group/nacos-k8s)

src/nacos/README.zh.md

@@ -0,0 +1,36 @@
+# Nacos
+
+## 简介
+
+Nacos 是一个易于使用的平台，专为动态服务发现、配置管理和服务管理而设计。它帮助您更快速、更轻松地构建云原生应用程序和微服务。
+
+## 安装
+
+要安装 Nacos，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n nacos
+```
+
+访问 Nacos 控制台：
+
+```bash
+kubectl port-forward svc/nacos 8848:8848 -n nacos
+```
+
+然后在浏览器中打开 <http://localhost:8848/nacos>。
+
+默认凭据：nacos/nacos
+
+## 文档
+
+- [官方 Nacos 文档](https://nacos.io/zh-cn/docs/what-is-nacos.html)
+- [Helm Chart 源码](https://github.com/nacos-group/nacos-k8s)

src/nacos/values.yaml

@@ -0,0 +1,21 @@
+# Nacos Helm Chart Values
+# https://github.com/nacos-group/nacos-k8s/blob/master/helm/values.yaml
+
+# Default values for nacos
+# This is a YAML-formatted file
+
+replicaCount: 1
+
+image:
+  repository: nacos/nacos-server
+  tag: latest
+  pullPolicy: IfNotPresent
+
+service:
+  type: ClusterIP
+  port: 8848
+
+persistence:
+  enabled: true
+  storageClassName: standard
+  size: 10Gi

src/neo4j/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= neo4j
+HELM_APPLICATION_NAME ?= neo4j
+HELM_NAMESPACE ?= neo4j
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= neo4j
+HELM_REPO_URL ?= https://helm.neo4j.com/neo4j
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/neo4j
+HELM_LANE ?=
+
+include ../_template/base.mk

src/neo4j/README.md

@@ -0,0 +1,34 @@
+# Neo4j
+
+## Introduction
+
+Neo4j is a highly scalable, native graph database purpose-built to leverage not only data but also data relationships. Neo4j delivers lightning-fast read and write performance, while maintaining data integrity.
+
+## Installation
+
+To install Neo4j, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n neo4j
+```
+
+To connect to Neo4j Browser:
+
+```bash
+kubectl port-forward svc/neo4j 7474:7474 7687:7687 -n neo4j
+```
+
+Then open <http://localhost:7474> in your browser.
+
+## Documentation
+
+- [Official Neo4j Documentation](https://neo4j.com/docs/)
+- [Helm Chart Source](https://github.com/neo4j/helm-charts)

src/neo4j/README.zh.md

@@ -0,0 +1,34 @@
+# Neo4j
+
+## 简介
+
+Neo4j 是一个高度可扩展的本地图数据库，专门用于利用数据以及数据之间的关系。Neo4j 提供闪电般的读写性能，同时保持数据完整性。
+
+## 安装
+
+要安装 Neo4j，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n neo4j
+```
+
+连接 Neo4j 浏览器：
+
+```bash
+kubectl port-forward svc/neo4j 7474:7474 7687:7687 -n neo4j
+```
+
+然后在浏览器中打开 <http://localhost:7474>。
+
+## 文档
+
+- [官方 Neo4j 文档](https://neo4j.com/docs/)
+- [Helm Chart 源码](https://github.com/neo4j/helm-charts)

src/neo4j/values.yaml

@@ -0,0 +1,17 @@
+# Neo4j Helm Chart Values
+# https://github.com/neo4j/helm-charts/blob/main/neo4j/values.yaml
+
+# Default values for neo4j
+# This is a YAML-formatted file
+
+neo4j:
+  name: neo4j
+  acceptLicenseAgreement: no
+  edition: community
+  password: password
+
+services:
+  neo4j:
+    enabled: true
+    spec:
+      type: ClusterIP

src/open-webui/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= open-webui
+HELM_APPLICATION_NAME ?= open-webui
+HELM_NAMESPACE ?= open-webui
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= open-webui
+HELM_REPO_URL ?= https://helm.openwebui.com
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/open-webui
+HELM_LANE ?=
+
+include ../_template/base.mk

src/open-webui/README.md

@@ -0,0 +1,34 @@
+# Open WebUI
+
+## Introduction
+
+Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI interface designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs.
+
+## Installation
+
+To install Open WebUI, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n open-webui
+```
+
+To access Open WebUI:
+
+```bash
+kubectl port-forward svc/open-webui 8080:8080 -n open-webui
+```
+
+Then open <http://localhost:8080> in your browser.
+
+## Documentation
+
+- [Official Open WebUI Documentation](https://docs.openwebui.com/)
+- [Helm Chart Source](https://github.com/open-webui/helm-charts)

src/open-webui/README.zh.md

@@ -0,0 +1,34 @@
+# Open WebUI
+
+## 简介
+
+Open WebUI 是一个可扩展、功能丰富且用户友好的自托管 AI 界面，旨在完全离线运行。它支持各种 LLM 运行器，包括 Ollama 和 OpenAI 兼容的 API。
+
+## 安装
+
+要安装 Open WebUI，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n open-webui
+```
+
+访问 Open WebUI：
+
+```bash
+kubectl port-forward svc/open-webui 8080:8080 -n open-webui
+```
+
+然后在浏览器中打开 <http://localhost:8080>。
+
+## 文档
+
+- [官方 Open WebUI 文档](https://docs.openwebui.com/)
+- [Helm Chart 源码](https://github.com/open-webui/helm-charts)

src/open-webui/values.yaml

@@ -0,0 +1,19 @@
+# Open WebUI Helm Chart Values
+# https://github.com/open-webui/helm-charts/blob/main/charts/open-webui/values.yaml
+
+# Default values for open-webui
+# This is a YAML-formatted file
+
+replicaCount: 1
+
+image:
+  repository: ghcr.io/open-webui/open-webui
+  tag: main
+  pullPolicy: IfNotPresent
+
+service:
+  type: ClusterIP
+  port: 8080
+
+ollama:
+  enabled: false

src/prometheus/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= prometheus
+HELM_APPLICATION_NAME ?= kube-prometheus-stack
+HELM_NAMESPACE ?= prometheus
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= prometheus-community
+HELM_REPO_URL ?= https://prometheus-community.github.io/helm-charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/kube-prometheus-stack
+HELM_LANE ?=
+
+include ../_template/base.mk

src/prometheus/README.md

@@ -0,0 +1,34 @@
+# Prometheus (kube-prometheus-stack)
+
+## Introduction
+
+kube-prometheus-stack collects Kubernetes manifests, Grafana dashboards, and Prometheus rules combined with documentation and scripts to provide easy to operate end-to-end Kubernetes cluster monitoring with Prometheus using the Prometheus Operator.
+
+## Installation
+
+To install Prometheus, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n prometheus
+```
+
+To access Prometheus UI:
+
+```bash
+kubectl port-forward svc/prometheus-kube-prometheus-prometheus 9090:9090 -n prometheus
+```
+
+Then open <http://localhost:9090> in your browser.
+
+## Documentation
+
+- [Official Prometheus Documentation](https://prometheus.io/docs/)
+- [Helm Chart Source](https://github.com/prometheus-community/helm-charts)

src/prometheus/README.zh.md

@@ -0,0 +1,34 @@
+# Prometheus (kube-prometheus-stack)
+
+## 简介
+
+kube-prometheus-stack 收集了 Kubernetes 清单、Grafana 仪表板和 Prometheus 规则，以及文档和脚本，使用 Prometheus Operator 提供易于操作的端到端 Kubernetes 集群监控。
+
+## 安装
+
+要安装 Prometheus，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n prometheus
+```
+
+访问 Prometheus UI：
+
+```bash
+kubectl port-forward svc/prometheus-kube-prometheus-prometheus 9090:9090 -n prometheus
+```
+
+然后在浏览器中打开 <http://localhost:9090>。
+
+## 文档
+
+- [官方 Prometheus 文档](https://prometheus.io/docs/)
+- [Helm Chart 源码](https://github.com/prometheus-community/helm-charts)

src/prometheus/values.yaml

@@ -0,0 +1,14 @@
+# kube-prometheus-stack Helm Chart Values
+# https://github.com/prometheus-community/helm-charts/blob/main/charts/kube-prometheus-stack/values.yaml
+
+# Default values for kube-prometheus-stack
+# This is a YAML-formatted file
+
+prometheus:
+  prometheusSpec:
+    retention: 10d
+    retentionSize: ''
+
+grafana:
+  enabled: true
+  adminPassword: admin

src/pulsar/Makefile

@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= pulsar
+HELM_APPLICATION_NAME ?= pulsar
+HELM_NAMESPACE ?= pulsar
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?=
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?=
+HELM_OCI_NAMESPACE ?=
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?= apache
+HELM_REPO_URL ?= https://pulsar.apache.org/charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/pulsar
+HELM_LANE ?=
+
+include ../_template/base.mk

src/pulsar/README.md

@@ -0,0 +1,32 @@
+# Apache Pulsar
+
+## Introduction
+
+Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project.
+
+## Installation
+
+To install Apache Pulsar, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n pulsar
+```
+
+To check Pulsar broker status:
+
+```bash
+kubectl exec -it pulsar-broker-0 -n pulsar -- bin/pulsar-admin brokers list
+```
+
+## Documentation
+
+- [Official Apache Pulsar Documentation](https://pulsar.apache.org/docs/)
+- [Helm Chart Source](https://github.com/apache/pulsar-helm-chart)

src/pulsar/README.zh.md

@@ -0,0 +1,32 @@
+# Apache Pulsar
+
+## 简介
+
+Apache Pulsar 是一个云原生分布式消息和流平台，最初由 Yahoo! 创建，现在是 Apache 软件基金会的顶级项目。
+
+## 安装
+
+要安装 Apache Pulsar，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装完成后，验证部署：
+
+```bash
+kubectl get pods -n pulsar
+```
+
+检查 Pulsar broker 状态：
+
+```bash
+kubectl exec -it pulsar-broker-0 -n pulsar -- bin/pulsar-admin brokers list
+```
+
+## 文档
+
+- [官方 Apache Pulsar 文档](https://pulsar.apache.org/docs/)
+- [Helm Chart 源码](https://github.com/apache/pulsar-helm-chart)

src/pulsar/values.yaml

@@ -0,0 +1,19 @@
+# Apache Pulsar Helm Chart Values
+# https://github.com/apache/pulsar-helm-chart/blob/master/charts/pulsar/values.yaml
+
+# Default values for pulsar
+# This is a YAML-formatted file
+
+components:
+  zookeeper: true
+  bookkeeper: true
+  broker: true
+  proxy: true
+  functions: false
+  prometheus: false
+  grafana: false
+  node_exporter: false
+
+monitoring:
+  prometheus: false
+  grafana: false