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I asked ChatGPT: "Write an Architecture Decision Record for choosing Kafka as an event-driven streaming platform"
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Kafka-ADR.md

Architecture Decision Record (ADR)

Title: Choosing Kafka as an Event-Driven Streaming Platform

Context:

Our system needs to handle high-throughput and low-latency data streams from multiple sources, and provide real-time processing and analytics capabilities. We need to choose a suitable event-driven streaming platform that can handle this workload and integrate with other systems in our architecture.

Decision:

We will use Apache Kafka as our event-driven streaming platform.

Reasoning:

  • Kafka has a proven track record of handling high-throughput data streams, with the ability to process millions of events per second.
  • Kafka's distributed architecture allows it to scale horizontally and handle high levels of data fault-tolerance.
  • Kafka has strong support for real-time processing and analytics through its support for stream processing frameworks such as Apache Storm and Apache Spark Streaming.
  • Kafka's support for publish-subscribe messaging allows for easy integration with other systems in our architecture.
  • Kafka has a large and active open-source community, providing a wealth of documentation and resources for development and troubleshooting.

Consequences:

  • Kafka may have a steeper learning curve compared to other event-driven streaming platforms, and may require additional resources for setup and maintenance.
  • Kafka's publish-subscribe messaging model may not be a perfect fit for all use cases, and may require additional work to integrate with systems that use different messaging models.
  • Kafka's high-throughput and low-latency capabilities may put additional stress on other systems in our architecture that are not designed to handle high levels of traffic.

Alternatives:

  • Apache Storm, Apache Flink, and Apache Samza are alternative stream processing frameworks that have similar capabilities to Kafka.
  • Apache Pulsar, RabbitMQ, and Google Cloud Pub/Sub are alternative messaging platforms that have different messaging models and may be better suited for specific use cases.

Chosen Alternative: Apache Kafka

Date: 2021-09-01

Author: John Doe

Acceptance Criteria:

  • The system must be able to handle high-throughput data streams of millions of events per second.
  • The system must be able to provide real-time processing and analytics capabilities.
  • The system must be able to integrate easily with other systems in the architecture.
  • The system must be able to scale horizontally and handle high levels of data fault-tolerance.
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