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In today's episode, Elixir Wizards Owen and Dan delve into the complexities of building advanced reporting features within software applications. They share personal insights and challenges encountered while developing reporting solutions for user-generated data, leveraging both Elixir/Phoenix and Ruby on Rails.
The discussion zeroes in on crucial data modeling and architectural decisions that enhance reporting efficiency and flexibility. Owen and Dan explore tactics like materialized views, event sourcing, and database triggers to optimize data handling while being mindful of UX elements like progress indicators and background job management.
They share insights on leveraging the Elixir/Beam ecosystem’s strengths—like concurrency and streamlined deployment—to tackle common reporting, caching, and integration challenges. The episode highlights the impact of reporting features across all aspects of a software application’s design and architecture.
Prometheus monitoring system & time series database https://prometheus.io/
4.9
2222 ratings
In today's episode, Elixir Wizards Owen and Dan delve into the complexities of building advanced reporting features within software applications. They share personal insights and challenges encountered while developing reporting solutions for user-generated data, leveraging both Elixir/Phoenix and Ruby on Rails.
The discussion zeroes in on crucial data modeling and architectural decisions that enhance reporting efficiency and flexibility. Owen and Dan explore tactics like materialized views, event sourcing, and database triggers to optimize data handling while being mindful of UX elements like progress indicators and background job management.
They share insights on leveraging the Elixir/Beam ecosystem’s strengths—like concurrency and streamlined deployment—to tackle common reporting, caching, and integration challenges. The episode highlights the impact of reporting features across all aspects of a software application’s design and architecture.
Prometheus monitoring system & time series database https://prometheus.io/
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