WEBINAR
Accelerate to Observability:
Migration Modernized — Datadog and NoBS
Migrating to Datadog is easy. Migrating well is not.
Most teams install the Agent, recreate legacy dashboards and alerts, and call it “done.” Weeks later, they’re dealing with alert noise, broken views, runaway metric costs, and an observability stack that doesn’t reflect how their systems actually run.
In this session, Datadog and NoBS engineers walk through how real teams modernize their observability model during a Datadog migration — instead of carrying legacy monitoring patterns forward.
What to expect:
We’ll focus on the decisions that matter to engineers and operators:
What telemetry is worth keeping — and what should be left behind
How to sequence tagging, dashboards, alerts, and SLOs correctly
Where migrations go off the rails in Kubernetes, cloud, and hybrid environments
How to reduce noise and cost while increasing signal and service visibility
This is not a high-level overview or sales demo. It’s a practical, engineer-led walkthrough of how to accelerate into Datadog with a clean, scalable foundation — the same approach NoBS uses across production migrations every week.
Why should you attend?
If you’re responsible for reliability, performance, or migrating your team into Datadog, this session is for you.
