This Datadog Monitoring training is designed to help participants use Datadog for unified infrastructure, application, and cloud monitoring. The course covers Datadog fundamentals, metrics, logs, APM basics, dashboards, alerts, and cloud-native monitoring concepts. Participants will gain hands-on experience to monitor systems, troubleshoot issues, and gain visibility into modern cloud and application environments using Datadog.

• Understand the architecture, observability capabilities, and monitoring features of Datadog for modern infrastructure management.
• Set up and configure the Datadog environment, agents, integrations, data sources, and monitoring components for operational  workflows.
• Design dashboards, monitors, alerts, metrics, and observability workflows using Datadog monitoring approaches.
• Implement infrastructure monitoring, log management, application performance monitoring, and incident response workflows effectively.
• Debug, test, and optimize monitoring configurations, alerts, and platform performance for scalability and reliability.
• Build secure, automated, and production-ready observability solutions using Datadog best practices.

 • DevOps and SRE engineers
 • Cloud and platform engineers
 • IT operations and monitoring teams
 • Application support engineers
 • Professionals using Datadog for observability

 • Basic understanding of IT systems, cloud, or DevOps concepts
 • Familiarity with Linux, Windows, or cloud environments
 • Basic computer operation skills

 • Understanding Datadog platform components
 • Installing and configuring Datadog agents
 • Collecting and visualizing metrics
 • Analyzing logs in Datadog
 • Using APM for application monitoring basics
 • Building dashboards and visualizations
 • Creating alerts and monitors
 • Applying Datadog best practices

By the end of this training, participants will be able to use Datadog to monitor infrastructure, applications, and cloud environments effectively. Learners will gain practical fundamentals in metrics, logs, dashboards, and alerting, enabling them to improve visibility, troubleshooting, and operational reliability.

Introduction to Datadog & Observability
 • What is Datadog and where it is used
 • Datadog platform architecture
 • Navigating Datadog interface
 • Observability concepts overview

Agent Installation & Metrics Collection
 • Installing Datadog agent
 • Collecting system and application metrics
 • Integrating cloud services
 • Verifying data collection

Dashboards & Visualization
 • Creating dashboards
 • Adding widgets
 • Using templates and time controls
 • Designing effective monitoring views

Alerting & Monitors
 • Creating metric monitors
 • Thresholds and anomaly detection basics
 • Notifications and integrations
 • Alert tuning best practices

Log Management Basics
 • Ingesting logs into Datadog
 • Searching and filtering logs
 • Creating log-based monitors
 • Log analytics basics

APM & Tracing Fundamentals
 • Introduction to APM
 • Traces and spans
 • Service maps
 • Basic application performance analysis

Cloud & Container Monitoring Basics
 • Monitoring cloud services
 • Kubernetes and container monitoring basics
 • Infrastructure maps
 • Cloud-native observability concepts

Best Practices & Operational Use Cases
 • Troubleshooting common issues
 • Reducing alert noise
 • Monitoring SLAs and SLOs basics
 • Operational monitoring best practices

• Datadog Setup & Observability Platform Architecture
• Agents, Integrations & Data Source Configuration
• Metrics Monitoring, Log Management & APM Integration
• Dashboards, Alerts & Incident Management
• Testing, Debugging & Performance Optimization
• End-to-End Datadog Monitoring Implementation Project

Participants will be evaluated through hands-on Datadog labs, practical monitoring configuration exercises, and instructor-led reviews focused on building dashboards and alerts for real-world environments.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Datadog Monitoring. This digital, verifiable certification validates practical Datadog observability, monitoring, and alerting skills and can be shared on LinkedIn and included in professional profiles to enhance DevOps and cloud monitoring career credibility.