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  • Inside Google’s System for Coordinated A/B Testing across its Global Service Fleet

    Google has shared details of its fleet wide large scale A/B experimentation system designed to standardize experiment assignment, exposure logging, and configuration propagation across distributed services. The approach enables consistent measurement across products, reduces experiment conflicts, and improves reliability of data driven decision making at scale.

  • How Spotify Is Driving Data-Driven Decisions

    Spotify’s infrastructure team has shared how by prioritising data, they’ve built an automated data collection platform that enables data-driven decision-making in DevOps and has improved their developer productivity and product value.

  • Using Measurement to Optimise Remote Work

    Dave Longman of HeadForwards wrote about using data to demonstrate the effectiveness of remote work during lockdown. Michael Schrage of MIT’s School of Management also wrote about the importance of using data-driven insights to improve performance in the current climate. Laura Giurge of London Business School talked about how isolation is teaching individuals and firms to be remotely effective.

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