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Numerous examples of this phenomenon exist today, including the unfortunate but common practice of secreting orchestration or coordination code in an inappropriate location.

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Many in the software world prize clever solutions to complex problems, yet often those clever solutions result from self-inflicted accidental complexity. Careful design and, perhaps more importantly, ongoing governance works to ensure that schedule pressure or one of the other numerous disruptive forces doesn't cause teams to make convenient but improper decisions. Software tends toward complexity when left to its own devices. Often, thinking about the testability of a particular approach leads teams away from some of these potentially problematic decisions. As software systems become more complex, development teams must show diligence to both create and maintain thoughtful architecture and design, not slap-dash decisions for expediency. Inappropriate team structures and other deviations from ConwayвЂ™s LawВ don't help either. Modern software development offers many places for developers to stash behavior, and inexperienced or inconsiderate teams often entangle concerns by not carefully considering the long-term consequences of inappropriate coupling. Examples abound, including using a database as an integration point, using KafkaВ as a global orchestrator, intermingling business logic with infrastructure code and so on. In any case, it shows that Kafka continues toward status as a de facto standard for asynchronous publish/subscribe messaging at volume.ДЄn antipattern as old as the Radar is the tendency for teams to place behavior within their ecosystem at convenient but improper nexus points that lead to long-term technical debt and worse. These organizations recognize that it is sometimes easier to have a centralized infrastructure with adaptation at the edges and try to avoid sprawl with careful design and governance.

Some teams end up treating Kafka as a next-generation enterprise service busВ - one example of The slippery slope of convenienceВ theme - but other teams use Kafka to provide universal access to business events as they happen. We suspect that part of the underlying reason for this bounty of tools is the underlying sharp-edged complexity of some of KafkaвЂ™s parts combined with increased presence in organizations that need to bend it to existing architectures and processes. Some of these tools allow more traditional interfaces to Kafka (such as ksqlDB, Confluent Kafka REST Proxy, and Nakadi), while others are designed to provide extra services such as GUI frontends and orchestration add-ons. We discussed several topics in this edition of the Radar (some of which eventually failed to make the final cut) where teams are employing tools to adapt to/from Kafka.

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