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There is, unfortunately, some dancing around Jackson, the JSON library. There isalways some dancing around Jackson.
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If you've ever worked as an enterprise developer in any moderately complex company, you've likely encountered distributed systems of the kind I want to talk about in this post—two or more systems communicating together via a message queue (MQ), such as RabbitMQ or Apache Kafka. Distributed, message-based systems are ubiquitous in today's programming landscape, especially due to the (now hopefully at least somewhat tempered) microservice architecture frenzy that swept over our field during the past decade.
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Scoop amounts to what you might call an orchestration library—it helps you write business operations in distributed systems. In that sense, it is similar to, e.g., Temporal, or, to an extent, Axon (1). Scoop is small—it can be read cover-to-cover in a few hours, and most of the magic happens in ~500 lines of (heavily documented) SQL.
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Of course, I did need to write it in something. Scoop is written in Kotlin, on top of Quarkus, and uses Postgres for everything. I chose Kotlin primarily because of its syntax and type system, and Quarkus since it allows using both blocking and reactive database drivers in a single application, and I wanted to write Scoop in both flavors, for educational and demonstrational purposes. However, I also wanted to target as wide an audience as possible, and tried to minimize the number of assumptions I made about what my audience might be familiar with.
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If you've ever worked as an enterprise developer in any moderately complex company, you've likely encountered distributed systems of the kind I want to talk about in this post—two or more systems communicating together via a message queue (MQ), such as RabbitMQ or Apache Kafka. Distributed, message-based systems are ubiquitous in today's programming landscape, especially due to the (now hopefully at least somewhat tempered) microservice architecture frenzy that swept over our field during the past decade.
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Sevalla
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