Can this help reduce Datadog costs?

Yes, it includes specific strategies for Datadog cost optimization, identifying waste, and provides a roadmap for migrating to open-source stacks like Prometheus and Loki.

Does it include templates for alerting?

Yes, it provides production-ready templates for Prometheus alerts, including advanced multi-window burn rate alerts and incident runbook templates.

How does it handle distributed tracing?

The skill covers OpenTelemetry instrumentation examples and patterns for debugging performance bottlenecks across microservices using traces.

Which monitoring frameworks does this skill support?

It provides implementation guidance for the Four Golden Signals, the RED method for request-driven services, and the USE method for infrastructure resources.

Monitoring & Observability Strategy

Name: Monitoring & Observability Strategy
Author: ahmedasmar

byahmedasmar

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分析と監視

Implements comprehensive monitoring, logging, and observability strategies using industry-standard frameworks like RED, USE, and the Four Golden Signals.

概要

This skill provides end-to-end guidance for building robust observability stacks, from designing SLIs/SLOs to implementing distributed tracing and structured logging. It assists in setting up Prometheus, Grafana, and Loki, creating actionable alerts, and generating automated dashboards. Whether you are migrating from Datadog to open-source alternatives or troubleshooting performance bottlenecks, this skill provides the implementation patterns and scripts needed to ensure your infrastructure is measurable and resilient.

主な機能

Metric design based on RED, USE, and the Four Golden Signals
SLO management and Datadog cost optimization/migration workflows
Actionable alert design with multi-window burn rate strategies
Automated dashboard generation for Kubernetes, databases, and web apps
Structured logging implementation and aggregation patterns (ELK, Loki, CloudWatch)
6 GitHub stars

ユースケース

Troubleshooting complex performance issues using distributed tracing and logs
Designing an observability stack for a new microservices architecture
Optimizing monitoring costs by identifying waste or migrating to open-source tools

概要

主な機能

Metric design based on RED, USE, and the Four Golden Signals
SLO management and Datadog cost optimization/migration workflows
Actionable alert design with multi-window burn rate strategies
Automated dashboard generation for Kubernetes, databases, and web apps
Structured logging implementation and aggregation patterns (ELK, Loki, CloudWatch)
6 GitHub stars

ユースケース

Troubleshooting complex performance issues using distributed tracing and logs
Designing an observability stack for a new microservices architecture
Optimizing monitoring costs by identifying waste or migrating to open-source tools