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