技能版本 1.0.0
service-mesh-observability
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
价格
免费
- 安装：免费
在组织开通时一次性收取；再次读取清单或下载不重复收费。
以上为公开标价。你的组织可能有协议价，以控制台显示的价格为准。
如何使用
为组织安装
开通即安装：组织固定使用开通时的版本（当前为 1.0.0）。升级到新版本需要取消后重新开通。
创建凭证
客户端使用组织凭证读取；绑定到数字人后，数字人使用绑定凭证按需加载。请求中携带：
Authorization: Bearer $ZGI_MARKET_KEY读取清单与安装包
清单列出版本、文件和校验值；安装包是一个 zip 文件。
读取清单 curl "https://market-api.zgi.im/v1/market/skills/service-mesh-observability/manifest" \ -H "Authorization: Bearer $ZGI_MARKET_KEY"下载安装包 curl "https://market-api.zgi.im/v1/market/skills/service-mesh-observability/package" \ -H "Authorization: Bearer $ZGI_MARKET_KEY" \ -o service-mesh-observability.zip读取清单和下载安装包不计入用量。下载后请用响应头中的 SHA-256 校验文件。
技能说明
- 名称
- service-mesh-observability
- 说明
- Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
仅指令
技能包内没有脚本文件：这个技能是供模型阅读的文本。
SKILL.md 节选
# Service Mesh Observability
Complete guide to observability patterns for Istio, Linkerd, and service mesh deployments.
## When to Use This Skill
- Setting up distributed tracing across services
- Implementing service mesh metrics and dashboards
- Debugging latency and error issues
- Defining SLOs for service communication
- Visualizing service dependencies
- Troubleshooting mesh connectivity
## Core Concepts
### 1. Three Pillars of Observability
```
┌─────────────────────────────────────────────────────┐
│ Observability │
├─────────────────┬─────────────────┬─────────────────┤
│ Metrics │ Traces │ Logs │
│ │ │ │
│ • Request rate │ • Span context │ • Access logs │
│ • Error rate │ • Latency │ • Error details │
│ • Latency P50 │ • Dependencies │ • Debug info │
│ • Saturation │ • Bottlenecks │ • Audit trail │
└─────────────────┴─────────────────┴─────────────────┘
```
### 2. Golden Signals for Mesh
| Signal | Description | Alert Threshold |
|--------|-------------|-----------------|
| **Latency** | Request duration P50, P99 | P99 > 500ms |
| **Traffic** | Requests per second | Anomaly detection |
| **Errors** | 5xx error rate | > 1% |
| **Saturation** | Resource utilization | > 80% |
## Templates
### Template 1: Istio with Prometheus & Grafana
```yaml
# Install Prometheus
apiVersion: v1
kind: ConfigMap
metadata:
name: prometheus
namespace: istio-system
data:
prometheus.yml: |
global:
scrape_interval: 15s
scrape_configs:
- job_name: 'istio-mesh'
kubernetes_sd_configs:
- role: endpoints
namespaces:
names:
- istio-system
relabel_configs:
- source_labels: [__meta_kubernetes_service_name]
action: keep
regex: istio-telemetry
---
# ServiceMonitor for Prometheus Operator
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: istio-mesh
namespace: istio-system
spec:
selector:
matchLabels:
app: istiod
endpoints:
- port: http-monitoring
interval: 15s
```
### Template 2: Key Istio Metrics Queries
```promql
# Request rate by service
sum(rate(istio_requests_total{reporter="destination"}[5m])) by (destination_service_name)
# Error rate (5xx)
sum(rate(istio_requests_total{reporter="destination", response_code=~"5.."}[5m]))
/ sum(rate(istio_requests_total{reporter="destination"}[5m])) * 100
# P99 latency
histogram_quantile(0.99,
sum(rate(istio_request_duration_milliseconds_bucket{reporter="destination"}[5m]))
by (le, destination_service_name))
# TCP connections
sum(istio_tcp_connections_opened_total{reporter="destination"}) by (destination_service_name)
# Request size
histogram_quantile(0.99,
sum(rate(istio_request_bytes_bucket{reporter="destination"}[5m]))
by (le, destination_service_name))
```
### Template 3: Jaeger Distributed Tracing
```yaml
# Jaeger installation for Istio
apiVersion: install.istio.io/v1alpha1
kind: IstioOperator
spec:
meshConfig:
enableTracing: true
defaultConfig:
tracing:
sampling: 100.0 # 100% in dev, lower in prod
zipkin:
address: jaeger-collector.istio-system:9411
---
# Jaeger deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: jaeger
namespace: istio-system
spec:
selector:
matchLabels:
app: jaeger
template:
metadata:
labels:
app: jaeger
spec:
containers:
- name: jaeger
image: jaegertracing/all-in-one:1.50
ports:SKILL.md 不止这些内容，安装后可阅读全文。
技能包内容
共 1 个文件，合计 10.2 KiB
- SKILL.md10.2 KiB
来源与审核
- 审核状态
- 尚未审核，内容来自上游来源
- 许可证
- 未说明
审核状态是平台对上架信息的记录，不构成对上游服务质量或可用性的担保。