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Today’s guest is Simon Glenn-Gregg, News Engineer at The Washington Post. He joins us to talk about using Elixir to build a prototype for a platform the news house recently implemented to visualize the results of the November 2020 elections in real-time.
While the job title of ‘News Engineer’ makes it seem like Simon invents news, this is not the case. He is focused on software related to publishing at The Washington Post, and in particular, has been working on building their election visualization platform for the past two years. Before the final iteration of the platform was built, the software engineering team at The Washington Post were given a period to test different technologies as an experiment to find the best fit, and Simon decided to try his hand at Elixir and Phoenix. He talks about what led him to this choice, and his experiences building out his prototype which he demonstrated on a dataset generated by the North Carolina 3rd Congressional District house race in September. Simon tells us about how the pitch went, what the team at The Washington Post was especially impressed by, and what led to the choice to use Node in the end.
Simon talks about the culture of openness to new technologies at The Washington Post as well as some of the limitations to their adoption. We also hear about how the final version of the visualization platform held up during the elections proper, and Simon’s plans to include Elixir in future stacks due to its amazing abilities as far as concurrency and memory. Tune in today!
Key Points From This Episode:
Links Mentioned in Today’s Episode:
SmartLogic — https://smartlogic.io/
Special Guest: Simon Glenn-Gregg.
4.9
2222 ratings
Today’s guest is Simon Glenn-Gregg, News Engineer at The Washington Post. He joins us to talk about using Elixir to build a prototype for a platform the news house recently implemented to visualize the results of the November 2020 elections in real-time.
While the job title of ‘News Engineer’ makes it seem like Simon invents news, this is not the case. He is focused on software related to publishing at The Washington Post, and in particular, has been working on building their election visualization platform for the past two years. Before the final iteration of the platform was built, the software engineering team at The Washington Post were given a period to test different technologies as an experiment to find the best fit, and Simon decided to try his hand at Elixir and Phoenix. He talks about what led him to this choice, and his experiences building out his prototype which he demonstrated on a dataset generated by the North Carolina 3rd Congressional District house race in September. Simon tells us about how the pitch went, what the team at The Washington Post was especially impressed by, and what led to the choice to use Node in the end.
Simon talks about the culture of openness to new technologies at The Washington Post as well as some of the limitations to their adoption. We also hear about how the final version of the visualization platform held up during the elections proper, and Simon’s plans to include Elixir in future stacks due to its amazing abilities as far as concurrency and memory. Tune in today!
Key Points From This Episode:
Links Mentioned in Today’s Episode:
SmartLogic — https://smartlogic.io/
Special Guest: Simon Glenn-Gregg.
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