Building an ES/CQRS Example Using EventStoreDB and Phoenix/LiveView
A comprehensive guide showcasing how EventStoreDB and Phoenix/LiveView can be utilized for functional state handling, read/write model separation, and event sourcing.
Published 1 year ago on elixirstatus.com
Abstract
The article discusses a detailed implementation of functional state management, read/write model segregation, and event sourcing using EventStoreDB and Phoenix/LiveView. It emphasizes the benefits of asynchronicity and challenges the notion of the transactional fallacy. The content is substantial but offers valuable insights for developers in the Elixir and Phoenix community.
Results
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Discussion
How this relates to indie hacking and solopreneurship.
Relevance
This article is relevant as it provides practical insights into implementing ES/CQRS architectures using EventStoreDB and Phoenix/LiveView. It can help you enhance your understanding of these technologies and apply them in your own Elixir projects.
Applicability
To apply the learnings from this article, you should consider implementing ES/CQRS patterns in your projects using EventStoreDB for event sourcing and Phoenix/LiveView for real-time UI updates. Experiment with functional state handling and read/write model separation to improve your application's scalability and performance.
Risks
One risk to consider is the complexity associated with implementing ES/CQRS architectures, which may require a learning curve and careful design considerations. Additionally, integrating EventStoreDB and Phoenix/LiveView could introduce dependencies that may impact the maintenance and scalability of your project.
Conclusion
Understanding and implementing ES/CQRS patterns with EventStoreDB and Phoenix/LiveView can position you well for future projects that require scalable and resilient systems. As more applications move towards event-driven architectures, mastering these concepts can give you a competitive edge in the development landscape.
References
Further Informations and Sources related to this analysis. See also my Ethical Aggregation policy.
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