Apr 07

It’s Time for Data Reliability Engineering

General News

▤ Summary

• Data is being used in ever-higher impact applications: Support chatbots, product recommendations, inventory management, financial planning, and much more. Teams need to plan to detect, control and mitigate failures that do occur, rather than hope that they can someday achieve perfection. • Use automation: Data platform complexity has grown exponentially and managing it manually grows linearly with headcount. Automating manual processes helps data teams scale reliability efforts, freeing up brainpower and time for tackling higher-order problems. The first event took place in December with more than a thousand attendees and speakers from across the industry, including Looker, dbt, Figma, Datadog, and Netflix.