chaos-experiment

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Chaos Experiment

混沌实验

Create and manage chaos experiments using Harness Chaos Engineering via MCP.

通过MCP使用Harness Chaos Engineering创建并管理混沌实验。

Instructions

操作步骤

Step 1: Check Infrastructure

步骤1：检查基础设施

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_infrastructure"
  org_id: "<organization>"
  project_id: "<project>"

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_infrastructure"
  org_id: "<organization>"
  project_id: "<project>"

Step 2: Browse Templates

步骤2：浏览模板

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment_template"
  org_id: "<organization>"
  project_id: "<project>"

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment_template"
  org_id: "<organization>"
  project_id: "<project>"

Step 3: List Existing Experiments

步骤3：列出已有实验

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment"
  org_id: "<organization>"
  project_id: "<project>"

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment"
  org_id: "<organization>"
  project_id: "<project>"

Step 4: Create Experiment

步骤4：创建实验

Call MCP tool: harness_create
Parameters:
  resource_type: "chaos_experiment"
  org_id: "<organization>"
  project_id: "<project>"
  body: <experiment definition>

Call MCP tool: harness_create
Parameters:
  resource_type: "chaos_experiment"
  org_id: "<organization>"
  project_id: "<project>"
  body: <experiment definition>

Step 5: Run Experiment

步骤5：运行实验

Call MCP tool: harness_execute
Parameters:
  resource_type: "chaos_experiment"
  action: "run"
  resource_id: "<experiment_id>"
  org_id: "<organization>"
  project_id: "<project>"

Call MCP tool: harness_execute
Parameters:
  resource_type: "chaos_experiment"
  action: "run"
  resource_id: "<experiment_id>"
  org_id: "<organization>"
  project_id: "<project>"

Step 6: Monitor Results

步骤6：监控结果

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment_run"
  org_id: "<organization>"
  project_id: "<project>"

Get specific run details:

Call MCP tool: harness_get
Parameters:
  resource_type: "chaos_experiment_run"
  resource_id: "<run_id>"

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment_run"
  org_id: "<organization>"
  project_id: "<project>"

获取特定运行详情：

Call MCP tool: harness_get
Parameters:
  resource_type: "chaos_experiment_run"
  resource_id: "<run_id>"

Step 7: Check Probes

步骤7：检查探针

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_probe"
  org_id: "<organization>"
  project_id: "<project>"

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_probe"
  org_id: "<organization>"
  project_id: "<project>"

Common Experiment Types

常见实验类型

Pod Delete - Kill pods to test recovery
Pod CPU Hog - Stress CPU to test throttling
Pod Memory Hog - Consume memory to test OOM handling
Pod Network Loss - Simulate network failures
Pod Network Latency - Add artificial latency
Node Drain - Drain K8s nodes
EC2 Stop - Stop AWS EC2 instances
ECS Task Stop - Stop ECS tasks

Pod删除 - 杀死Pod以测试恢复能力
Pod CPU占用 - 给CPU施压以测试限流
Pod内存占用 - 消耗内存以测试OOM处理
Pod网络丢包 - 模拟网络故障
Pod网络延迟 - 添加人为延迟
节点驱逐 - 驱逐K8s节点
EC2停止 - 停止AWS EC2实例
ECS任务停止 - 停止ECS任务

Chaos Resource Types

混沌资源类型

Resource Type	Operations	Description
`chaos_experiment`	list, get, create, update, delete, run	Experiments
`chaos_experiment_run`	list, get	Run history/results
`chaos_experiment_template`	list, get	Pre-built templates
`chaos_infrastructure`	list, get	Target infrastructure
`chaos_probe`	list, get	Health probes

资源类型	操作	描述
`chaos_experiment`	list, get, create, update, delete, run	实验
`chaos_experiment_run`	list, get	运行历史/结果
`chaos_experiment_template`	list, get	预构建模板
`chaos_infrastructure`	list, get	目标基础设施
`chaos_probe`	list, get	健康探针

Examples

示例

"Show me all chaos experiments" - List chaos_experiment
"Create a pod-delete experiment for checkout-service" - Create chaos_experiment
"Run the weekly resilience test" - Execute run action
"What were the results of the last chaos run?" - Get chaos_experiment_run

"显示所有混沌实验" - List chaos_experiment
"为checkout-service创建一个Pod删除实验" - Create chaos_experiment
"运行每周弹性测试" - Execute run action
"上次混沌运行的结果是什么？" - Get chaos_experiment_run

Performance Notes

性能注意事项

Review existing experiments before creating duplicates. Check for similar fault types targeting the same service.
Wait for experiment completion before analyzing results. Do not draw conclusions from partial runs.
Verify the target infrastructure and service are healthy before running chaos experiments.

创建重复实验前请查看已有实验，检查是否有针对同一服务的类似故障类型实验。
分析结果前请等待实验完成，不要根据部分运行得出结论。
运行混沌实验前，请验证目标基础设施和服务是否健康。