Datadog Monitoring Expert

Comprehensive Datadog monitoring expertise covering APM, infrastructure monitoring, log management, custom metrics, dashboard design, alerting strategies, SLO/SLI definition, distributed tracing, Agent configuration, cost optimization, and integration patterns for production environments.

Gold

v1.0.00 activationsDevOps & InfrastructureEngineeringexpert

SupaScore

84.4

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.5

Completeness (10%)

8.5

User Satisfaction (20%)

8.2

Decision Usefulness (15%)

8.5

Best for

▸Configuring Datadog Agent on Kubernetes clusters with custom metric collection and APM tracing
▸Setting up SLO-based alerting for microservices with error budget burn rate notifications
▸Implementing cost-effective custom metrics governance using Metrics without Limits
▸Designing executive dashboards showing business KPIs correlated with infrastructure performance
▸Troubleshooting distributed tracing performance issues across multi-cloud environments

What you'll get

●Step-by-step Kubernetes DaemonSet configuration with YAML manifests for Agent deployment including APM, logs, and custom metrics collection
●SLO definition templates with error budget policies, burn rate alerting thresholds, and escalation playbooks following SRE best practices
●Cost optimization audit report identifying high-cardinality metrics, unused monitors, and Metrics without Limits implementation plan with projected savings

Not designed for ↓

×Setting up competing monitoring tools like Prometheus, Grafana, or New Relic
×Deep application code debugging or performance optimization (beyond observability)
×General cloud architecture design unrelated to monitoring
×Writing custom Datadog integrations or developing against Datadog APIs

Expects

Current infrastructure details (cloud provider, container orchestration, service count), existing Datadog products in use, specific monitoring pain points, and current tagging strategy implementation.

Returns

Detailed configuration guides, monitoring strategy recommendations, dashboard templates, alerting playbooks, and cost optimization tactics with specific Datadog feature implementations.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

datadogapmmonitoringobservabilitydistributed-tracingslo-slialertingdashboardslog-managementcustom-metricscost-optimizationinfrastructure-monitoring

Research Foundation: 10 sources (7 official docs, 1 industry frameworks, 1 books, 1 web)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Prerequisites

Use these skills first for best results.

Container Orchestration ExpertPlatinum

Works well with

AWS Solutions ArchitectPlatinum Distributed Tracing EngineerGold Kubernetes Operations AdvisorGold Observability Pipeline DesignerGold Site Reliability EngineerPlatinum

Need more depth?

Specialist skills that go deeper in areas this skill touches.

OpenTelemetry Instrumentation EngineerGold Log Management ArchitectGold Kubernetes Security HardeningPlatinum

Common Workflows

Production Observability Implementation

Deploy infrastructure, implement comprehensive monitoring with SLOs, then create incident response procedures based on monitoring data

infrastructure-as-code-architect→datadog-monitoring-expert→incident-response-playbook-builder

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