Migrating to Datadog

Welcome to the Migrating to Datadog course, your complete hands-on guide to building a modern observability platform.As businesses scale and systems grow more complex, having a robust observability platform is essential. Datadog offers a powerful, integrated solution for monitoring infrastructure, applications, and services. This demo-based course takes you through every stage of migrating to Datadog, from understanding observability fundamentals to post-migration optimization.

Built for DevOps engineers, SREs, platform teams, and architects, this course combines real-world insights, best practices, and hands-on demos to help you migrate with confidence.

Course Modules

1. Observability Basics

Begin with a foundational understanding of observability. Learn what observability is, why it matters, and how engineers use it daily. Explore its four key pillars—metrics, logs, traces, and profiles—and discover how OpenTelemetry plays a role in modern observability practices.

2. Datadog Basics

Get to know Datadog’s core offerings. Learn how the platform works, understand its SaaS architecture, and explore integrations, Datadog agents, and serverless connectors through guided demonstrations.

3. Pre-Migration

Learn how to evaluate your existing (legacy) observability stack and build a migration strategy. Understand the reasons for migrating, compare enterprise and open-source solutions, and decide between phased vs big bang approaches. This section covers planning, communication, orchestration, application and infrastructure considerations, and how to plan for rollback and feedback.

4. Migration – What Should You Look Into

Identify the critical components to address during your migration. This section helps you assess legacy dashboards, alerts, business rules, and the possibilities Datadog brings for enhancing your monitoring setup.

5. Migration – Structuring Your Platform

Design a scalable and secure Datadog platform. Learn to define your architecture, enable end-to-end monitoring, and configure data ingestion for metrics, logs, traces, profiles, and RUM. You'll also explore visualization techniques, creating dashboards and alerts, and setting up IAM, RBAC, and other security best practices. Learn from real-world implementation lessons to avoid common pitfalls.

6. Post-Migration

After migration, it's time to evaluate and optimize. This section covers deactivating legacy stacks, analyzing alerts, incident response, scaling dashboards, improving collaboration, and making the most out of Datadog features like Watchdog and platform integrations (Slack, Teams, Zoom, etc.). You'll also discover learning resources and public success stories to stay updated.

Why Take This Course

• Built around guided demos
  
  
• Teaches both technical execution and strategic planning
  
  
• Led by experts with real-world Datadog migration experience
  
  
• Covers the complete migration lifecycle

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Who Should Take This Course

• DevOps engineers and SREs modernizing their observability stack
  
  
• Teams moving from tools like Prometheus, Grafana, or ELK
  
  
• Architects and platform engineers building scalable monitoring setups
  
  
• Anyone responsible for observability, monitoring, or incident response
  
  

Migrate with clarity. Build with confidence. Get the most out of Datadog. Enroll now and start your migration journey today.