Learn how to redirect Datadog metrics, logs, and traces to OpenObserve using simple configuration changes—without modifying application code. The video covers multiple instrumentation approaches, including OpenTelemetry and Datadog-native setups.
Why teams consider moving away from Datadog pricing models
How to migrate observability data without changing application code
Differences between OpenTelemetry and Datadog-native instrumentation
How to use OpenTelemetry Collector as a bridge
Setting up metrics collection via StatsD receiver
Methods to ship logs into OpenObserve
Configuring trace ingestion using Datadog receiver
End-to-end setup for a Datadog-to-OpenObserve pipeline
Struggling with rising costs from per-host pricing and custom metric penalties in Datadog? This video walks through a practical approach to migrate your observability pipeline to OpenObserve with minimal effort.
You’ll learn how to reroute metrics, logs, and traces from Datadog into OpenObserve using configuration-based changes—no code rewrites required. The guide supports both OpenTelemetry-based setups and Datadog-native tools like DogStatsD and Datadog APM.
The tutorial includes:
A breakdown of why switching from Datadog can reduce costs and complexity Different instrumentation types and when to use them Step-by-step setup of the OpenTelemetry Collector as a bridge Configuration for metrics collection using the StatsD receiver Multiple options for shipping logs How to handle distributed tracing using the Datadog receiver A complete walkthrough from setup to validation
Additional resources are provided for a free cloud trial, migration documentation, and community support.
Manas is a passionate Dev and Cloud Advocate with a strong focus on cloud-native technologies, including observability, cloud, kubernetes, and opensource communities--building bridges between tech and community.
