Designing a Kafka Solution to Meet Functional and Non-Functional Requirements Beyond Quantexa

Designing a Quantexa streaming solution that addresses both functional and non-functional requirements can be challenging, especially when specific use cases require capabilities beyond the OOB functionalities of Quantexa platform. While some extensions may be necessary to meet these requirements, it is important to avoid unnecessary customizations and follow Quantexa’s best practices to ensure the solution remains:

1. Future-proof: Ready for platform upgrades and changes.
2. Aligned with industry standards: Compliant with recognized guidelines and practices.
3. Optimally performing: Delivering high efficiency and responsiveness.
4. Scalable: Easily adaptable to growing data and user demands.
5. Seamlessly integrated: Enhancing operational efficiency within the Quantexa ecosystem.

This article explores how to design Kafka streaming solutions that address unique requirements while staying aligned with Quantexa's best practices, minimizing customizations, and leveraging the platform’s capabilities effectively.

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