Datadog Monitoring Training in Copenhagen, Denmark

This training provides a comprehensive introduction to Datadog, covering infrastructure monitoring, application performance monitoring (APM), log management, dashboards, and alerting. Participants will gain hands-on experience configuring Datadog agents, creating monitoring workflows, setting up alerts, and integrating Datadog with enterprise systems.

Datadog Fundamentals and Infrastructure Monitoring

Module 1: Introduction to Datadog

• Overview of Datadog platform and ecosystem
• Key features: Infrastructure, APM, Logs, Synthetics
• Datadog architecture and agents

Module 2: Installing and Configuring Datadog Agent

• Agent setup on Linux, Windows, and containers
• Configuring integrations for common services 

Module 3: Metrics Collection and Infrastructure Monitoring

• Collecting host, container, and cloud service metrics
• Tags and metadata for organization

Module 4: Dashboards and Visualizations

• Creating and customizing dashboards
• Using widgets, timeseries, and heatmaps
• Best practices for dashboard design

Advanced Monitoring and Integrations

Module 5: Alerts and Notifications

• Monitor types: threshold, anomaly, composite, forecasting
• Configuring notifications (Slack, Teams, PagerDuty, Email)
• Best practices for alert tuning

Module 6: Application Performance Monitoring (APM)

• Distributed tracing and service maps
• Setting up APM for web applications
• Monitoring request latency, errors, and throughput

Module 7: Log Management and Troubleshooting

• Ingesting logs from applications and systems
• Parsing and filtering logs
• Correlating logs, metrics, and traces

Module 8: Integrations and Best Practices

• Datadog integrations with CI/CD and DevOps workflows
• Kubernetes, Docker, and cloud provider integrations
• Security and access control in Datadog

Module 9: Wrap-up

• Q&A session
• Hands-on Exercises
• Final Wrap-Up