init repo

2026-02-16 09:12:50 +08:00
commit 3360ca01a2
71 changed files with 1934 additions and 0 deletions
--- a/.editorconfig
+++ b/.editorconfig
@@ -0,0 +1,24 @@
+root = true
+
+[*]
+indent_size = 2
+indent_style = space
+end_of_line = lf
+charset = utf-8
+trim_trailing_whitespace = true
+insert_final_newline = true
+
+[*.md]
+indent_size = 4
+trim_trailing_whitespace = false
+
+[Makefile]
+indent_size = 4
+indent_style = tab
+
+[*.mk]
+indent_size = 4
+indent_style = tab
+
+[*.yaml]
+indent_size = 2
--- a/.github/instructions/base.instructions.md
+++ b/.github/instructions/base.instructions.md
@@ -0,0 +1,46 @@
+---
+description: Describe the guidelines for contributing to the Helm Command Template project.
+---
+
+# Helm Command Template Project Guidelines
+
+## 1. Project Intent
+
+The objective of this project is to provide a repository of pre-configured Helm command templates, enabling users to deploy various services quickly and consistently using a unified `make install` interface. The architecture relies on a "Template Method" pattern where a base Makefile in `src/_template` defines the core logic, and individual service directories in `src/` inherit and override specific variables. The primary challenge is ensuring that new services are based on the most popular and reliable upstream Helm Charts while maintaining a consistent user experience across different services.
+
+## 2. Constraints
+
+When contributing to or maintaining this project, you must adhere to the following rules:
+
+* **Directory Structure & Inheritance:**
+  * The core logic resides in `src/_template/Makefile`. Do not duplicate deployment logic in individual services.
+  * Each service must be placed in its own directory under `src/` (e.g., `src/mysql/`, `src/redis/`).
+  * The `Makefile` for a specific service must explicitly include the template (e.g., `include ../_template/Makefile`) and override necessary variables (Chart name, Repo URL, Version, custom flags).
+
+* **Adding New Services:**
+  * **Search First:** Before creating a new service, perform a web search to identify the most popular, well-maintained, and "de facto standard" Helm Chart for that specific software (e.g., Bitnami charts, official software charts).
+  * **Configuration:** Include necessary configuration files (e.g., `values.yaml` overrides) within the service directory. The goal is "batteries included" but easily modifiable.
+  * Always use English in `values.yaml` and `Makefile` for consistency, but provide Chinese documentation in `README.zh.md`.
+
+* **Version Management:**
+  * Use the `make versions` command (if available in the template) or manually check upstream to retrieve the latest stable version number.
+  * Always update the `VERSION` or `TAG` variables in the service's Makefile when updating a service.
+
+* **Documentation Standards:**
+  * **Bilingual Requirement:** Every service directory **must** contain two documentation files:
+    * `README.md`: English documentation.
+    * `README.zh.md`: Chinese documentation.
+  * **Content:** Both files must cover:
+        1. **Introduction:** What the service is.
+        2. **Installation:** How to use `make install`.
+        3. **Usage:** Basic verification or connection steps.
+
+* **Command Interface:**
+  * The end-user interaction must remain simple. The primary entry point for any service is executing `make install` inside its directory.
+
+## 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.
+* **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.
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1,21 @@
+# Ignore Helm chart default values files
+*-values.yaml
+values-*.yaml
+
+# Env
+.env
+.env.*
+!.env.example
+
+# Editor directories and files
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+
+# Logs
+logs
+*.log
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -0,0 +1,24 @@
+{
+  "prettier.enable": false,
+  "editor.formatOnSave": false,
+  "[markdown]": {
+    "editor.wordWrap": "on",
+    "editor.formatOnSave": true,
+    "editor.codeActionsOnSave": {
+      "source.fixAll.markdownlint": "explicit"
+    },
+    "editor.quickSuggestions": {
+      "other": "off",
+      "comments": "off",
+      "strings": "off"
+    }
+  },
+  "[yaml]": {
+    "editor.formatOnSave": true
+  },
+  "[dockercompose]": {
+    "editor.formatOnSave": true
+  },
+  "files.eol": "\n",
+  "cSpell.enabled": false
+}
--- a/README.md
+++ b/README.md
@@ -0,0 +1,76 @@
+# Helm Anything
+
+A repository of pre-configured Helm command templates for deploying various services quickly and consistently on Kubernetes using a unified `make install` interface.
+
+## Overview
+
+This project provides a collection of Helm chart configurations for popular services, enabling users to deploy them with minimal effort. The architecture follows the "Template Method" pattern, where a base Makefile in `src/_template` defines the core deployment logic, and individual service directories inherit and override specific variables.
+
+## Supported Services
+
+The following services are currently supported:
+
+- ClickHouse
+- Elasticsearch
+- etcd
+- Kafka
+- Kibana
+- Langfuse
+- Milvus
+- MinIO
+- MongoDB
+- OpenTelemetry Collector
+- Phoenix
+- PostgreSQL
+- RabbitMQ
+- Redis
+- Valkey
+- ZooKeeper
+
+Each service has its own directory under `src/`, containing:
+
+- `Makefile`: Service-specific configuration
+- `values.yaml`: Helm chart values overrides
+- `README.md`: English documentation
+- `README.zh.md`: Chinese documentation
+
+## Quick Start
+
+1. Clone the repository:
+
+   ```bash
+   git clone https://github.com/your-repo/helm-anything.git
+   cd helm-anything
+   ```
+
+2. Navigate to the desired service directory:
+
+   ```bash
+   cd src/redis
+   ```
+
+3. Install the service:
+
+   ```bash
+   make install
+   ```
+
+4. Verify the deployment:
+
+   ```bash
+   kubectl get pods -n <service-namespace>
+   ```
+
+## Prerequisites
+
+- Kubernetes cluster
+- Helm 3.x
+- kubectl configured to access your cluster
+
+## Contributing
+
+Please refer to the [contribution guidelines](.github/instructions/base.instructions.md) for details on adding new services or modifying existing ones.
+
+## License
+
+This project is licensed under the MIT License - see the LICENSE file for details.
--- a/src/_template/base.mk
+++ b/src/_template/base.mk
@@ -0,0 +1,64 @@
+.PHONY: repo-add
+repo-add:
+ifdef HELM_REPO_NAME
+	helm repo add $(HELM_REPO_NAME) $(HELM_REPO_URL)
+	helm repo update
+else
+	@echo "NOTE: OCI helm registry do not require 'repo add', skipping this step."
+endif
+ifdef HELM_OCI_USERNAME
+	helm registry login $(HELM_OCI_REGISTRY) -u $(HELM_OCI_USERNAME) -p $(HELM_OCI_PASSWORD)
+else
+	@echo "HELM_OCI_USERNAME is not set, skipping OCI registry login."
+endif
+
+.PHONY: install
+install:
+	helm upgrade $(HELM_RELEASE_NAME) $(HELM_CHART_REPO) \
+		--install \
+		--namespace $(HELM_NAMESPACE) \
+		--create-namespace \
+		$(if $(HELM_CHART_VERSION),--version $(HELM_CHART_VERSION),) \
+		--values $(HELM_VALUES_FILE) > output.log 2>&1 || (cat output.log && exit 1)
+
+.PHONY: uninstall
+uninstall:
+	helm uninstall $(HELM_RELEASE_NAME) --namespace $(HELM_NAMESPACE)
+
+.PHONY: values
+values:
+	helm show values $(HELM_CHART_REPO) > $(HELM_APPLICATION_NAME)-values.yaml
+
+.PHONY: versions
+versions:
+ifdef HELM_OCI_REGISTRY
+	@echo "Fetching versions from OCI registry..."
+	@bash -c "if [ -n '$(HELM_OCI_USERNAME)' ]; then \
+		curl -s -u $(HELM_OCI_USERNAME):\$$(echo '$(HELM_OCI_PASSWORD)') https://$(HELM_OCI_REGISTRY)/v2/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)/tags/list; \
+	else \
+		curl -s https://$(HELM_OCI_REGISTRY)/v2/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)/tags/list; \
+	fi | jq -r '.tags[]' | grep -v '^sha256' | sort -V" || (echo "Failed to fetch versions from OCI registry." && exit 1)
+else
+	@echo "Fetching versions from Helm repository..."
+	helm search repo $(HELM_CHART_REPO) --versions
+endif
+
+.PHONY: watch
+watch:
+	bash -c "watch -n 0.5 kubectl get all -n $(HELM_NAMESPACE)"
+
+.PHONY: helm-push
+helm-push:
+	@if [ -d "$(HELM_DIR)" ]; then \
+		helm lint $(HELM_DIR)/$(HELM_APPLICATION_NAME); \
+		helm package $(HELM_DIR)/$(HELM_APPLICATION_NAME); \
+		helm push $$(ls $(HELM_APPLICATION_NAME)-*.tgz) oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE); \
+		rm -f $(HELM_APPLICATION_NAME)-*.tgz; \
+		echo "NOTE: Helm chart uploaded successfully!"; \
+	else \
+		echo "HELM_DIR '$(HELM_DIR)' does not exist. Skipping helm-push."; \
+	fi
+
+.PHONY: logs
+logs:
+	kubectl logs -n $(HELM_NAMESPACE) -l app=$(HELM_APPLICATION_NAME) --tail=100 --follow
--- a/src/clickhouse/Makefile
+++ b/src/clickhouse/Makefile
@@ -0,0 +1,14 @@
+HELM_RELEASE_NAME ?= clickhouse
+HELM_APPLICATION_NAME ?= clickhouse
+HELM_NAMESPACE ?= clickhouse
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.3.8
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?=
+HELM_REPO_NAME ?= altinity
+HELM_REPO_URL ?= https://helm.altinity.com
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/clickhouse/README.md
+++ b/src/clickhouse/README.md
@@ -0,0 +1,35 @@
+# ClickHouse
+
+## Introduction
+
+ClickHouse is an open-source column-oriented database management system for online analytical processing (OLAP).
+
+## Installation
+
+To install ClickHouse, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n clickhouse
+```
+
+To connect to ClickHouse:
+
+```bash
+kubectl -n clickhouse exec -it chi-clickhouse-clickhouse-0-0-0 -- clickhouse-client
+```
+
+Or use port forwarding:
+
+```bash
+kubectl -n clickhouse port-forward services/clickhouse 9000:9000
+```
+
+**Note**: Please change the default password in production environments.
--- a/src/clickhouse/README.zh.md
+++ b/src/clickhouse/README.zh.md
@@ -0,0 +1,27 @@
+# ClickHouse
+
+## 简介
+
+ClickHouse 是一个开源的面向列的数据库管理系统，用于在线分析处理 (OLAP)。
+
+## 安装
+
+要安装 ClickHouse，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n clickhouse
+```
+
+要连接到 ClickHouse：
+
+```bash
+kubectl -n clickhouse exec -it chi-clickhouse-clickhouse-0-0-0 -- clickhouse-client
+```
--- a/src/clickhouse/values.yaml
+++ b/src/clickhouse/values.yaml
@@ -0,0 +1,31 @@
+clickhouse:
+  replicasCount: 3
+  shardsCount: 1
+  antiAffinity: true
+  defaultUser:
+    password: "clickhouse-password" # Change me!
+    allowExternalAccess: true
+  persistence:
+    enabled: true
+    size: 100Gi
+    storageClass: local-path
+    accessMode: ReadWriteOnce
+  resources:
+    limits:
+      cpu: 2000m
+      memory: 4Gi
+    requests:
+      cpu: 500m
+      memory: 1Gi
+  service:
+    type: ClusterIP
+
+keeper:
+  enabled: true
+  replicaCount: 3
+  localStorage:
+    size: 10Gi
+    storageClass: local-path
+
+operator:
+  enabled: true
--- a/src/elasticsearch/Makefile
+++ b/src/elasticsearch/Makefile
@@ -0,0 +1,14 @@
+HELM_RELEASE_NAME ?= elasticsearch
+HELM_APPLICATION_NAME ?= elasticsearch
+HELM_NAMESPACE ?= elasticsearch
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 8.5.1
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?=
+HELM_REPO_NAME ?= elastic
+HELM_REPO_URL ?= https://helm.elastic.co
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/elasticsearch/README.md
+++ b/src/elasticsearch/README.md
@@ -0,0 +1,29 @@
+# Elasticsearch
+
+## Introduction
+
+Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.
+
+## Installation
+
+To install Elasticsearch, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n elasticsearch
+```
+
+To access Elasticsearch, port-forward the service:
+
+```bash
+kubectl port-forward svc/elasticsearch-master 9200:9200 -n elasticsearch
+```
+
+Then access at <http://localhost:9200>
--- a/src/elasticsearch/README.zh.md
+++ b/src/elasticsearch/README.zh.md
@@ -0,0 +1,29 @@
+# Elasticsearch
+
+## 简介
+
+Elasticsearch 是一个分布式、RESTful 风格的搜索和数据分析引擎。
+
+## 安装
+
+要安装 Elasticsearch，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n elasticsearch
+```
+
+要访问 Elasticsearch，请端口转发服务：
+
+```bash
+kubectl port-forward svc/elasticsearch-master 9200:9200 -n elasticsearch
+```
+
+然后在 <http://localhost:9200> 访问
--- a/src/elasticsearch/values.yaml
+++ b/src/elasticsearch/values.yaml
@@ -0,0 +1,38 @@
+replicas: 3
+minimumMasterNodes: 2
+
+volumeClaimTemplate:
+  accessModes: ["ReadWriteOnce"]
+  resources:
+    requests:
+      storage: 30Gi
+
+resources:
+  requests:
+    cpu: "500m"
+    memory: "2Gi"
+  limits:
+    cpu: "1000m"
+    memory: "2Gi"
+
+esConfig:
+  elasticsearch.yml: |
+    cluster.name: "elasticsearch"
+    network.host: 0.0.0.0
+
+    # 跨域配置
+    http.cors.enabled: true
+    http.cors.allow-origin: "*"
+    http.cors.allow-headers: Authorization,X-Requested-With,Content-Type,Content-Length
+
+esJavaOpts: "-Xmx1g -Xms1g"
+
+service:
+  type: ClusterIP
+  port: 9200
+  nodePort: ""
+
+xpack:
+  enabled: false
+
+clusterHealthCheckParams: "wait_for_status=yellow&timeout=1s"
--- a/src/etcd/Makefile
+++ b/src/etcd/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= etcd
+HELM_APPLICATION_NAME ?= etcd
+HELM_NAMESPACE ?= etcd
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.5.3
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/etcd/README.md
+++ b/src/etcd/README.md
@@ -0,0 +1,27 @@
+# etcd
+
+## Introduction
+
+etcd is a distributed key-value store that provides a reliable way to store data across a cluster of machines.
+
+## Installation
+
+To install etcd, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n etcd
+```
+
+To connect to etcd, use etcdctl:
+
+```bash
+kubectl -n etcd exec -it etcd-0 -- etcdctl get / --prefix
+```
--- a/src/etcd/README.zh.md
+++ b/src/etcd/README.zh.md
@@ -0,0 +1,27 @@
+# etcd
+
+## 简介
+
+etcd 是一个分布式键值存储，提供了一种可靠的方式来跨集群机器存储数据。
+
+## 安装
+
+要安装 etcd，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n etcd
+```
+
+要连接到 etcd，使用 etcdctl：
+
+```bash
+kubectl -n etcd exec -it etcd-0 -- etcdctl get / --prefix
+```
--- a/src/etcd/values.yaml
+++ b/src/etcd/values.yaml
@@ -0,0 +1,11 @@
+persistence:
+  enabled: true
+  storageClass: local-path
+
+resources:
+  requests:
+    cpu: 1
+    memory: 512Mi
+  limits:
+    cpu: 2
+    memory: 2048Mi
--- a/src/kafka/Makefile
+++ b/src/kafka/Makefile
@@ -0,0 +1,14 @@
+HELM_RELEASE_NAME ?= strimzi-kafka-operator
+HELM_APPLICATION_NAME ?= strimzi-kafka-operator
+HELM_NAMESPACE ?= kafka
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.50.0
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?=
+HELM_REPO_NAME ?= strimzi
+HELM_REPO_URL ?= https://strimzi.io/charts/
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/kafka/README.md
+++ b/src/kafka/README.md
@@ -0,0 +1,27 @@
+# Kafka
+
+## Introduction
+
+Apache Kafka is an open-source distributed event streaming platform used for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
+
+## Installation
+
+To install Kafka, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n kafka
+```
+
+To produce and consume messages, use Kafka tools:
+
+```bash
+kubectl -n kafka exec -it kafka-cluster-kafka-0 -- kafka-console-producer.sh --broker-list kafka-cluster-kafka-bootstrap:9092 --topic test
+```
--- a/src/kafka/README.zh.md
+++ b/src/kafka/README.zh.md
@@ -0,0 +1,27 @@
+# Kafka
+
+## 简介
+
+Apache Kafka 是一个开源的分布式事件流平台，用于高性能数据管道、流分析、数据集成和关键任务应用。
+
+## 安装
+
+要安装 Kafka，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n kafka
+```
+
+要生产和消费消息，使用 Kafka 工具：
+
+```bash
+kubectl -n kafka exec -it kafka-cluster-kafka-0 -- kafka-console-producer.sh --broker-list kafka-cluster-kafka-bootstrap:9092 --topic test
+```
--- a/src/kafka/kafka-cluster.yaml
+++ b/src/kafka/kafka-cluster.yaml
@@ -0,0 +1,68 @@
+apiVersion: kafka.strimzi.io/v1beta2
+kind: Kafka
+metadata:
+  name: kafka-cluster
+spec:
+  kafka:
+    version: 3.6.0
+    replicas: 3
+    listeners:
+      - name: plain
+        port: 9092
+        type: internal
+        tls: false
+      - name: tls
+        port: 9093
+        type: internal
+        tls: true
+    config:
+      offsets.topic.replication.factor: 3
+      transaction.state.log.replication.factor: 3
+      transaction.state.log.min.isr: 2
+      default.replication.factor: 3
+      min.insync.replicas: 2
+      inter.broker.protocol.version: "3.6"
+    storage:
+      type: jbod
+      volumes:
+        - id: 0
+          type: persistent-claim
+          size: 100Gi
+          deleteClaim: false
+    resources:
+      requests:
+        memory: 2Gi
+        cpu: "1"
+      limits:
+        memory: 2Gi
+        cpu: "2"
+  zookeeper:
+    replicas: 3
+    storage:
+      type: persistent-claim
+      size: 10Gi
+      deleteClaim: false
+    resources:
+      requests:
+        memory: 1Gi
+        cpu: "0.5"
+      limits:
+        memory: 1Gi
+        cpu: "1"
+  entityOperator:
+    topicOperator:
+      resources:
+        requests:
+          memory: 512Mi
+          cpu: "0.2"
+        limits:
+          memory: 512Mi
+          cpu: "0.5"
+    userOperator:
+      resources:
+        requests:
+          memory: 512Mi
+          cpu: "0.2"
+        limits:
+          memory: 512Mi
+          cpu: "0.5"
--- a/src/kafka/values.yaml
+++ b/src/kafka/values.yaml
@@ -0,0 +1,12 @@
+watchNamespaces: []
+
+resources:
+  limits:
+    cpu: 500m
+    memory: 512Mi
+  requests:
+    cpu: 100m
+    memory: 128Mi
+
+logLevel: INFO
+generateNetworkPolicy: false
--- a/src/kibana/Makefile
+++ b/src/kibana/Makefile
@@ -0,0 +1,14 @@
+HELM_RELEASE_NAME ?= kibana
+HELM_APPLICATION_NAME ?= kibana
+HELM_NAMESPACE ?= elastic
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 8.5.1
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?=
+HELM_REPO_NAME ?= elastic
+HELM_REPO_URL ?= https://helm.elastic.co
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/kibana/README.md
+++ b/src/kibana/README.md
@@ -0,0 +1,29 @@
+# Kibana
+
+## Introduction
+
+Kibana is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases.
+
+## Installation
+
+To install Kibana, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n kibana
+```
+
+To access Kibana, port-forward the service:
+
+```bash
+kubectl port-forward svc/kibana-kibana 5601:5601 -n kibana
+```
+
+Then access at <http://localhost:5601>
--- a/src/kibana/README.zh.md
+++ b/src/kibana/README.zh.md
@@ -0,0 +1,29 @@
+# Kibana
+
+## 简介
+
+Kibana 是一个用于日志和时间序列分析、应用监控和运营智能用例的数据可视化和探索工具。
+
+## 安装
+
+要安装 Kibana，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n kibana
+```
+
+要访问 Kibana，请端口转发服务：
+
+```bash
+kubectl port-forward svc/kibana-kibana 5601:5601 -n kibana
+```
+
+然后在 <http://localhost:5601> 访问
--- a/src/kibana/values.yaml
+++ b/src/kibana/values.yaml
@@ -0,0 +1,31 @@
+replicas: 3
+
+elasticsearchHosts: "http://elasticsearch:9200"
+
+resources:
+  requests:
+    cpu: "500m"
+    memory: "1Gi"
+  limits:
+    cpu: "1000m"
+    memory: "2Gi"
+
+kibanaConfig:
+  kibana.yml: |
+    server.name: kibana
+    server.host: "0.0.0.0"
+
+service:
+  type: ClusterIP
+  port: 5601
+
+healthCheckPath: "/api/status"
+
+ingress:
+  enabled: false
+  className: "nginx"
+  hosts:
+    - host: kibana.example.com
+      paths:
+        - path: /
+          pathType: Prefix
--- a/src/langfuse/Makefile
+++ b/src/langfuse/Makefile
@@ -0,0 +1,14 @@
+HELM_RELEASE_NAME ?= langfuse
+HELM_APPLICATION_NAME ?= langfuse
+HELM_NAMESPACE ?= langfuse
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 1.5.19
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?=
+HELM_REPO_NAME ?= langfuse
+HELM_REPO_URL ?= https://langfuse.github.io/langfuse-k8s
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/langfuse/README.md
+++ b/src/langfuse/README.md
@@ -0,0 +1,29 @@
+# Langfuse
+
+## Introduction
+
+Langfuse is an open-source LLM engineering platform for observability, prompt management, and evaluation.
+
+## Installation
+
+To install Langfuse, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n langfuse
+```
+
+To access Langfuse, port-forward the service:
+
+```bash
+kubectl port-forward svc/langfuse 3000:3000 -n langfuse
+```
+
+Then access at <http://localhost:3000>
--- a/src/langfuse/README.zh.md
+++ b/src/langfuse/README.zh.md
@@ -0,0 +1,29 @@
+# Langfuse
+
+## 简介
+
+Langfuse 是一个开源的 LLM 工程平台，用于可观测性、提示管理和评估。
+
+## 安装
+
+要安装 Langfuse，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n langfuse
+```
+
+要访问 Langfuse，请端口转发服务：
+
+```bash
+kubectl port-forward svc/langfuse 3000:3000 -n langfuse
+```
+
+然后在 <http://localhost:3000> 访问
--- a/src/langfuse/values.yaml
+++ b/src/langfuse/values.yaml
@@ -0,0 +1,49 @@
+langfuse:
+  replicas: 3
+  web:
+    replicas: 3
+  salt:
+    value: "salt-key" # Change me: $ openssl rand -base64 32
+  nextauth:
+    url: http://langfuse-web:3000 # Change me if you change the web service name or port
+    secret:
+      value: "secret-key" # Change me: $ openssl rand -hex 32
+  additionalEnv:
+    - name: "DATABASE_URL"
+      value: "postgres://postgres:wFvh4a6QdJ@postgres-postgresql.db:5432/postgres_langfuse"
+  encryptionKey:
+    value: "encryption-key" # Change me: $ openssl rand -hex 32
+
+postgresql:
+  deploy: false
+  directUrl: "postgres://postgres:wFvh4a6QdJ@postgres-postgresql.db:5432/postgres_langfuse"
+  auth:
+    secretKeys:
+      adminPasswordKey: "wFvh4a6QdJ"
+  password: "wFvh4a6QdJ"
+
+redis:
+  auth:
+    password: "FfuNDfCpeUUmmcD5GS7FMBm"
+
+clickhouse:
+  auth:
+    password: "FfuNDfCpeUUmmcD5GS7FMBm"
+  clusterEnabled: true
+  replicaCount: 3
+  resources:
+    requests:
+      memory: "512Mi"
+      cpu: "500m"
+    limits:
+      memory: "4Gi"
+      cpu: "1"
+  zookeeper:
+    enabled: true
+    resources:
+      requests:
+        memory: "512Mi"
+        cpu: "500m"
+      limits:
+        memory: "4Gi"
+        cpu: "1"
--- a/src/milvus/Makefile
+++ b/src/milvus/Makefile
@@ -0,0 +1,14 @@
+HELM_RELEASE_NAME ?= milvus
+HELM_APPLICATION_NAME ?= milvus
+HELM_NAMESPACE ?= milvus
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 5.0.13
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?=
+HELM_REPO_NAME ?= milvus
+HELM_REPO_URL ?= https://zilliztech.github.io/milvus-helm
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/milvus/README.md
+++ b/src/milvus/README.md
@@ -0,0 +1,29 @@
+# Milvus
+
+## Introduction
+
+Milvus is an open-source vector database built to power embedding similarity search and AI applications.
+
+## Installation
+
+To install Milvus, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n milvus
+```
+
+To connect to Milvus, use the Python SDK or REST API. Port-forward the service:
+
+```bash
+kubectl port-forward svc/milvus 19530:19530 -n milvus
+```
+
+Then connect using the client.
--- a/src/milvus/README.zh.md
+++ b/src/milvus/README.zh.md
@@ -0,0 +1,29 @@
+# Milvus
+
+## 简介
+
+Milvus 是一个开源的向量数据库，专为嵌入相似性搜索和 AI 应用而构建。
+
+## 安装
+
+要安装 Milvus，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n milvus
+```
+
+要连接到 Milvus，使用 Python SDK 或 REST API。端口转发服务：
+
+```bash
+kubectl port-forward svc/milvus 19530:19530 -n milvus
+```
+
+然后使用客户端连接。
--- a/src/milvus/values.yaml
+++ b/src/milvus/values.yaml
@@ -0,0 +1,67 @@
+cluster:
+  enabled: false
+
+service:
+  type: LoadBalancer
+
+persistence:
+  enabled: true
+  storageClass: local-path
+  accessMode: ReadWriteOnce
+  size: 50Gi
+
+attu:
+  enabled: true
+  ingress:
+    enabled: true
+    ingressClassName: nginx
+    annotations: {}
+    hosts:
+      - attu.local
+
+ingress:
+  enabled: true
+  ingressClassName: nginx
+  annotations: {}
+  labels: {}
+  rules:
+    - host: milvus.local
+      path: /
+      pathType: Prefix
+
+standalone:
+  enabled: true
+  resources:
+    limits:
+      cpu: "1"
+      memory: "2Gi"
+    requests:
+      cpu: "0.1"
+      memory: "512Mi"
+  persistence:
+    persistentVolumeClaim:
+      storageClass: local-path
+
+pulsarv3:
+  enabled: false
+
+minio:
+  enabled: true
+  name: minio
+  mode: standalone
+  persistence:
+    enabled: true
+    existingClaim: ""
+    storageClass: local-path
+    accessMode: ReadWriteOnce
+    size: 500Gi
+
+etcd:
+  enabled: true
+  name: etcd
+  replicaCount: 3
+  persistence:
+    enabled: true
+    storageClass: local-path
+    accessMode: ReadWriteOnce
+    size: 10Gi
--- a/src/minio/Makefile
+++ b/src/minio/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= minio
+HELM_APPLICATION_NAME ?= minio
+HELM_NAMESPACE ?= minio
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.8.2
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/minio/README.md
+++ b/src/minio/README.md
@@ -0,0 +1,29 @@
+# MinIO
+
+## Introduction
+
+MinIO is a high-performance, S3 compatible object store.
+
+## Installation
+
+To install MinIO, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n minio
+```
+
+To access MinIO, port-forward the service:
+
+```bash
+kubectl port-forward svc/minio 9000:9000 -n minio
+```
+
+Then access the console at <http://localhost:9000>
--- a/src/minio/README.zh.md
+++ b/src/minio/README.zh.md
@@ -0,0 +1,29 @@
+# MinIO
+
+## 简介
+
+MinIO 是一个高性能、与 S3 兼容的对象存储。
+
+## 安装
+
+要安装 MinIO，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n minio
+```
+
+要访问 MinIO，请端口转发服务：
+
+```bash
+kubectl port-forward svc/minio 9000:9000 -n minio
+```
+
+然后在 <http://localhost:9000> 访问控制台
--- a/src/minio/values.yaml
+++ b/src/minio/values.yaml
@@ -0,0 +1,27 @@
+replicaCount: 3
+
+auth:
+  rootUser: admin
+  rootPassword: "root-password" # Change me: $ openssl rand -base64 12
+
+ingress:
+  enabled: true
+  className: nginx
+  annotations: {}
+  hosts:
+    - host: minio.local
+      paths:
+        - path: /
+          pathType: Prefix
+
+persistence:
+  enabled: true
+  storageClass: local-path
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"
--- a/src/mongodb/Makefile
+++ b/src/mongodb/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= mongodb
+HELM_APPLICATION_NAME ?= mongodb
+HELM_NAMESPACE ?= mongodb
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.10.3
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/mongodb/README.md
+++ b/src/mongodb/README.md
@@ -0,0 +1,27 @@
+# MongoDB
+
+## Introduction
+
+MongoDB is a source-available cross-platform document-oriented database program.
+
+## Installation
+
+To install MongoDB, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n mongodb
+```
+
+To connect to MongoDB:
+
+```bash
+kubectl -n mongodb exec -it mongodb-0 -- mongosh
+```
--- a/src/mongodb/README.zh.md
+++ b/src/mongodb/README.zh.md
@@ -0,0 +1,27 @@
+# MongoDB
+
+## 简介
+
+MongoDB 是一个源代码可用的跨平台面向文档的数据库程序。
+
+## 安装
+
+要安装 MongoDB，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n mongodb
+```
+
+要连接到 MongoDB：
+
+```bash
+kubectl -n mongodb exec -it mongodb-0 -- mongosh
+```
--- a/src/mongodb/values.yaml
+++ b/src/mongodb/values.yaml
@@ -0,0 +1,23 @@
+replicaCount: 3
+
+replicaSet:
+  enabled: true
+  name: rs0
+  key: "qJlSywRHAWOysZaow3uE5f3BQAY/1ml/" # change me!
+
+auth:
+  enabled: true
+  rootUsername: admin
+  rootPassword: "password" # Change me!
+
+persistence:
+  enabled: true
+  storageClass: local-path
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"
--- a/src/opentelemetry-collector/Makefile
+++ b/src/opentelemetry-collector/Makefile
@@ -0,0 +1,14 @@
+HELM_RELEASE_NAME ?= opentelemetry-collector
+HELM_APPLICATION_NAME ?= opentelemetry-collector
+HELM_NAMESPACE ?= observability
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= latest
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?=
+HELM_REPO_NAME ?= open-telemetry
+HELM_REPO_URL ?= https://open-telemetry.github.io/opentelemetry-helm-charts
+HELM_CHART_REPO ?= $(HELM_REPO_NAME)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/opentelemetry-collector/README.md
+++ b/src/opentelemetry-collector/README.md
@@ -0,0 +1,23 @@
+# OpenTelemetry Collector
+
+## Introduction
+
+OpenTelemetry Collector is a vendor-agnostic implementation on how to receive, process and export telemetry data.
+
+## Installation
+
+To install OpenTelemetry Collector, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n opentelemetry-collector
+```
+
+The collector will receive telemetry data based on its configuration and export it to configured backends.
--- a/src/opentelemetry-collector/README.zh.md
+++ b/src/opentelemetry-collector/README.zh.md
@@ -0,0 +1,23 @@
+# OpenTelemetry Collector
+
+## 简介
+
+OpenTelemetry Collector 是一个供应商无关的实现，用于接收、处理和导出遥测数据。
+
+## 安装
+
+要安装 OpenTelemetry Collector，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n opentelemetry-collector
+```
+
+收集器将根据其配置接收遥测数据并导出到配置的后端。
--- a/src/opentelemetry-collector/values.yaml
+++ b/src/opentelemetry-collector/values.yaml
@@ -0,0 +1,58 @@
+mode: deployment
+
+config:
+  receivers:
+    otlp:
+      protocols:
+        grpc:
+          endpoint: 0.0.0.0:4317
+        http:
+          endpoint: 0.0.0.0:4318
+
+  processors:
+    batch: {}
+    memory_limiter:
+      limit_percentage: 80
+      spike_limit_percentage: 25
+
+  exporters:
+    logging:
+      loglevel: info
+
+  service:
+    pipelines:
+      traces:
+        receivers: [otlp]
+        processors: [memory_limiter, batch]
+        exporters: [logging]
+      metrics:
+        receivers: [otlp]
+        processors: [memory_limiter, batch]
+        exporters: [logging]
+      logs:
+        receivers: [otlp]
+        processors: [memory_limiter, batch]
+        exporters: [logging]
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"
+
+service:
+  type: ClusterIP
+
+ports:
+  otlp:
+    enabled: true
+    containerPort: 4317
+    servicePort: 4317
+    protocol: TCP
+  otlp-http:
+    enabled: true
+    containerPort: 4318
+    servicePort: 4318
+    protocol: TCP
--- a/src/phoenix/Makefile
+++ b/src/phoenix/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= phoenix
+HELM_APPLICATION_NAME ?= phoenix
+HELM_NAMESPACE ?= phoenix
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 4.0.37
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= arizephoenix
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/phoenix-helm
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/phoenix/README.md
+++ b/src/phoenix/README.md
@@ -0,0 +1,29 @@
+# Phoenix
+
+## Introduction
+
+Arize Phoenix is an open-source tool for ML observability that runs in your notebook or application to visualize and monitor your model performance.
+
+## Installation
+
+To install Phoenix, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n phoenix
+```
+
+To access Phoenix, port-forward the service:
+
+```bash
+kubectl port-forward svc/phoenix 6006:6006 -n phoenix
+```
+
+Then access at <http://localhost:6006>
--- a/src/phoenix/README.zh.md
+++ b/src/phoenix/README.zh.md
@@ -0,0 +1,29 @@
+# Phoenix
+
+## 简介
+
+Arize Phoenix 是一个开源工具，用于 ML 可观测性，在您的笔记本或应用中运行以可视化和监控模型性能。
+
+## 安装
+
+要安装 Phoenix，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n phoenix
+```
+
+要访问 Phoenix，请端口转发服务：
+
+```bash
+kubectl port-forward svc/phoenix 6006:6006 -n phoenix
+```
+
+然后在 <http://localhost:6006> 访问
--- a/src/phoenix/values.yaml
+++ b/src/phoenix/values.yaml
@@ -0,0 +1,47 @@
+replicaCount: 3
+
+ingress:
+  enabled: true
+  className: nginx
+  pathType: Prefix
+  annotations: {}
+  host: phoenix.local
+
+postgresql:
+  enabled: false
+
+database:
+  allocatedStorageGiB: 100
+  defaultRetentionPolicyDays: 0
+  postgres:
+    db: phoenix
+    host: phoenix-postgres
+    password: phoenix-postgres-password # Change me!
+    port: 5432
+    schema: public
+    user: phoenix
+
+service:
+  type: LoadBalancer
+
+auth:
+  enableAuth: false
+  secret:
+    - key: "PHOENIX_SECRET"
+      value: "phoenix-secret" # Change me!
+    - key: "PHOENIX_ADMIN_SECRET"
+      value: "phoenix-admin-secret" # Change me!
+    - key: "PHOENIX_POSTGRES_PASSWORD"
+      value: "phoenix-postgres-password" # Change me!
+    - key: "PHOENIX_SMTP_PASSWORD"
+      value: "phoenix-smtp-password" # Change me!
+    - key: "PHOENIX_DEFAULT_ADMIN_INITIAL_PASSWORD"
+      value: "phoenix-default-admin-initial-password" # Change me!
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"
--- a/src/postgres/Makefile
+++ b/src/postgres/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= postgres
+HELM_APPLICATION_NAME ?= postgres
+HELM_NAMESPACE ?= postgres
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.15.5
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/postgres/README.md
+++ b/src/postgres/README.md
@@ -0,0 +1,27 @@
+# PostgreSQL
+
+## Introduction
+
+PostgreSQL is a powerful, open source object-relational database system with over 35 years of active development.
+
+## Installation
+
+To install PostgreSQL, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n postgres
+```
+
+To connect to PostgreSQL:
+
+```bash
+kubectl -n postgres exec -it postgres-0 -- psql -U postgres
+```
--- a/src/postgres/README.zh.md
+++ b/src/postgres/README.zh.md
@@ -0,0 +1,27 @@
+# PostgreSQL
+
+## 简介
+
+PostgreSQL 是一个强大的开源对象关系数据库系统，已有超过 35 年的活跃开发。
+
+## 安装
+
+要安装 PostgreSQL，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n postgres
+```
+
+要连接到 PostgreSQL：
+
+```bash
+kubectl -n postgres exec -it postgres-0 -- psql -U postgres
+```
--- a/src/postgres/values.yaml
+++ b/src/postgres/values.yaml
@@ -0,0 +1,3 @@
+persistence:
+  enabled: true
+  storageClass: local-path
--- a/src/rabbitmq/Makefile
+++ b/src/rabbitmq/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= rabbitmq
+HELM_APPLICATION_NAME ?= rabbitmq
+HELM_NAMESPACE ?= rabbitmq
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.15.7
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/rabbitmq/README.md
+++ b/src/rabbitmq/README.md
@@ -0,0 +1,29 @@
+# RabbitMQ
+
+## Introduction
+
+RabbitMQ is the most widely deployed open source message broker.
+
+## Installation
+
+To install RabbitMQ, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n rabbitmq
+```
+
+To access RabbitMQ management UI, port-forward the service:
+
+```bash
+kubectl port-forward svc/rabbitmq 15672:15672 -n rabbitmq
+```
+
+Then access at <http://localhost:15672>
--- a/src/rabbitmq/README.zh.md
+++ b/src/rabbitmq/README.zh.md
@@ -0,0 +1,29 @@
+# RabbitMQ
+
+## 简介
+
+RabbitMQ 是部署最广泛的开源消息代理。
+
+## 安装
+
+要安装 RabbitMQ，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n rabbitmq
+```
+
+要访问 RabbitMQ 管理 UI，请端口转发服务：
+
+```bash
+kubectl port-forward svc/rabbitmq 15672:15672 -n rabbitmq
+```
+
+然后在 <http://localhost:15672> 访问
--- a/src/rabbitmq/values.yaml
+++ b/src/rabbitmq/values.yaml
@@ -0,0 +1,27 @@
+replicaCount: 3
+
+auth:
+  password: "password" # Change me!
+  erlangCookie: "erlang-cookie" # Change me!
+
+ingress:
+  enabled: true
+  className: nginx
+  annotations: {}
+  hosts:
+    - host: rabbitmq.local
+      paths:
+        - path: /
+          pathType: Prefix
+
+persistence:
+  enabled: true
+  storageClass: local-path
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"
--- a/src/redis/Makefile
+++ b/src/redis/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= redis
+HELM_APPLICATION_NAME ?= redis
+HELM_NAMESPACE ?= redis
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.22.2
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/redis/README.md
+++ b/src/redis/README.md
@@ -0,0 +1,27 @@
+# Redis
+
+## Introduction
+
+Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker.
+
+## Installation
+
+To install Redis, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n redis
+```
+
+To connect to Redis:
+
+```bash
+kubectl -n redis exec -it redis-master-0 -- redis-cli
+```
--- a/src/redis/README.zh.md
+++ b/src/redis/README.zh.md
@@ -0,0 +1,27 @@
+# Redis
+
+## 简介
+
+Redis 是一个开源 (BSD 许可) 的内存数据结构存储，用作数据库、缓存和消息代理。
+
+## 安装
+
+要安装 Redis，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n redis
+```
+
+要连接到 Redis：
+
+```bash
+kubectl -n redis exec -it redis-master-0 -- redis-cli
+```
--- a/src/redis/values.yaml
+++ b/src/redis/values.yaml
@@ -0,0 +1,20 @@
+architecture: standalone
+
+service:
+  type: LoadBalancer
+
+auth:
+  enabled: true
+  password: "password" # Change me!
+
+persistence:
+  enabled: true
+  storageClass: local-path
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"
--- a/src/valkey/Makefile
+++ b/src/valkey/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= valkey
+HELM_APPLICATION_NAME ?= valkey
+HELM_NAMESPACE ?= valkey
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.15.3
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/valkey/README.md
+++ b/src/valkey/README.md
@@ -0,0 +1,27 @@
+# Valkey
+
+## Introduction
+
+Valkey is an open-source (BSD licensed) high-performance key/value datastore that supports a variety of workloads such as caching, message queues, and can act as a primary database.
+
+## Installation
+
+To install Valkey, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n valkey
+```
+
+To connect to Valkey:
+
+```bash
+kubectl -n valkey exec -it valkey-master-0 -- valkey-cli
+```
--- a/src/valkey/README.zh.md
+++ b/src/valkey/README.zh.md
@@ -0,0 +1,27 @@
+# Valkey
+
+## 简介
+
+Valkey 是一个开源 (BSD 许可) 的高性能键/值数据存储，支持各种工作负载，如缓存、消息队列，并可以作为主数据库。
+
+## 安装
+
+要安装 Valkey，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n valkey
+```
+
+要连接到 Valkey：
+
+```bash
+kubectl -n valkey exec -it valkey-master-0 -- valkey-cli
+```
--- a/src/valkey/values.yaml
+++ b/src/valkey/values.yaml
@@ -0,0 +1,19 @@
+architecture: replication
+
+replicaCount: 3
+
+persistence:
+  enabled: true
+  storageClass: local-path
+
+auth:
+  enabled: true
+  password: "password" # Change me!
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"
--- a/src/zookeeper/Makefile
+++ b/src/zookeeper/Makefile
@@ -0,0 +1,16 @@
+HELM_RELEASE_NAME ?= zookeeper
+HELM_APPLICATION_NAME ?= zookeeper
+HELM_NAMESPACE ?= zookeeper
+HELM_DIR ?= ./helm
+HELM_CHART_VERSION ?= 0.5.5
+HELM_VALUES_FILE ?= ./values.yaml
+HELM_OCI_REGISTRY ?= docker.io
+HELM_OCI_NAMESPACE ?= cloudpirates
+HELM_OCI_USERNAME ?=
+HELM_OCI_PASSWORD ?=
+HELM_REPO_NAME ?=
+HELM_REPO_URL ?=
+HELM_CHART_REPO ?= oci://$(HELM_OCI_REGISTRY)/$(HELM_OCI_NAMESPACE)/$(HELM_APPLICATION_NAME)
+HELM_LANE ?=
+
+include ../_template/base.mk
--- a/src/zookeeper/README.md
+++ b/src/zookeeper/README.md
@@ -0,0 +1,27 @@
+# ZooKeeper
+
+## Introduction
+
+Apache ZooKeeper is an open-source server which enables highly reliable distributed coordination.
+
+## Installation
+
+To install ZooKeeper, run:
+
+```bash
+make install
+```
+
+## Usage
+
+After installation, verify the deployment:
+
+```bash
+kubectl get pods -n zookeeper
+```
+
+To connect to ZooKeeper:
+
+```bash
+kubectl -n zookeeper exec -it zookeeper-0 -- zkCli.sh
+```
--- a/src/zookeeper/README.zh.md
+++ b/src/zookeeper/README.zh.md
@@ -0,0 +1,27 @@
+# ZooKeeper
+
+## 简介
+
+Apache ZooKeeper 是一个开源服务器，支持高度可靠的分布式协调。
+
+## 安装
+
+要安装 ZooKeeper，请运行：
+
+```bash
+make install
+```
+
+## 使用
+
+安装后，验证部署：
+
+```bash
+kubectl get pods -n zookeeper
+```
+
+要连接到 ZooKeeper：
+
+```bash
+kubectl -n zookeeper exec -it zookeeper-0 -- zkCli.sh
+```
--- a/src/zookeeper/values.yaml
+++ b/src/zookeeper/values.yaml
@@ -0,0 +1,14 @@
+persistence:
+  enabled: true
+  storageClass: local-path
+
+service:
+  type: LoadBalancer
+
+resources:
+  limits:
+    cpu: "1"
+    memory: "2Gi"
+  requests:
+    cpu: "0.1"
+    memory: "512Mi"