From 0 to 10,000 experiments

Turn your team into a shipping and learning engine with best practices for feature flagging and experimentation.

It’s one thing to ship, but how do you prove that your team’s work is having an actual positive impact on the business at large? Building a strong capacity for experimentation transforms teams and their success: from mitigating risk to generating meaningful learnings to finding surprising opportunities for improvements and new approaches. Datadog Engineering Manager Aaron Silverman will show you how to chart the course from 0 to 10,000 experiments, use feature flags to make deployments safely, and embed experimentation & feature flagging best practices into your team s way of working to build a healthy shipping and learning engine.

Key takeaways

• How to start building a muscle for experimentation and learning,
• Safer deployments with feature flags, canary tests, and automated rollouts/rollbacks.
• Making experimentation & flagging a natural part of a healthy shipping and learning engine