How does it handle SLO management?

It includes specific templates for PrometheusRules to define availability and latency SLOs, along with error-budget-based alerting.

Is OpenTelemetry instrumentation included?

Yes, it provides configurations for the OpenTelemetry Collector to manage distributed traces and export them to backends like Jaeger.

Can I use this for non-Kubernetes workloads?

This skill is specifically optimized for Kubernetes-native tools like ServiceMonitors and the Prometheus Operator stack.

What logging tools are supported?

The skill focuses on the Grafana Loki stack, providing configurations for Promtail log collection and LogQL for advanced log querying.

Does this skill support multi-cluster monitoring?

While focused on core patterns, it provides the standard configurations for Prometheus and Loki which can be adapted for federated or multi-cluster environments.

Kubernetes Monitoring & Observability

Name: Kubernetes Monitoring & Observability
Author: pluginagentmarketplace

bypluginagentmarketplace

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分析与监控

Implements comprehensive observability stacks including metrics, logging, and distributed tracing for Kubernetes clusters.

关于

This skill provides enterprise-grade expertise for monitoring Kubernetes environments, enabling developers and SREs to deploy and manage Prometheus, Grafana, Loki, and OpenTelemetry. It simplifies the creation of ServiceMonitors, complex PromQL queries, and SLO-based alerting rules to ensure cluster health and application performance. Whether you are troubleshooting resource bottlenecks or setting up multi-signal observability, this skill offers the implementation patterns and diagnostic workflows needed for production-ready cluster management.

主要功能

Log aggregation and analysis using Loki and Promtail
SLO-based alerting strategies with Alertmanager integration
1 GitHub stars
Prometheus and Grafana stack deployment and configuration
Distributed tracing implementation via OpenTelemetry and Jaeger
Deep resource monitoring for CPU, memory, and network performance

使用场景

Defining Service-Level Objectives (SLOs) and proactive alerting for microservices
Implementing a full observability stack in a fresh Kubernetes production environment
Troubleshooting performance bottlenecks using PromQL and LogQL

关于

主要功能

Log aggregation and analysis using Loki and Promtail
SLO-based alerting strategies with Alertmanager integration
1 GitHub stars
Prometheus and Grafana stack deployment and configuration
Distributed tracing implementation via OpenTelemetry and Jaeger
Deep resource monitoring for CPU, memory, and network performance

使用场景

Defining Service-Level Objectives (SLOs) and proactive alerting for microservices
Implementing a full observability stack in a fresh Kubernetes production environment
Troubleshooting performance bottlenecks using PromQL and LogQL