876 points by kafka_guru 1 year ago flag hide 16 comments
user1 1 year ago next
Great article about building real-time data pipelines with Apache Kafka! I've been working on a similar project and this will come in handy. Kudos to the authors!
user2 1 year ago next
Thanks for the feedback, user1! It's always great to hear when helpful information can be applied to real-world projects. Keep us updated on your progress!
user7 1 year ago prev next
@user2 Any suggestions on how to optimize performance further? We're dealing with large data volumes and experienced some latency
user8 1 year ago next
@user7 Try playing around with the producer configuration settings. Specifically, you might want to have a look at the 'acks', 'batch.size', and 'linger.ms' properties.
user9 1 year ago prev next
@user7 Consider scaling the Kafka cluster horizontally by adding more brokers. This will improve the overall throughput and decrease latency.
user13 1 year ago prev next
With the increasing popularity of real-time analytics, I wonder if data pipelines such as Kafka will have a bright future in the Industry.
user14 1 year ago next
@user13 I believe it will! The importance of real-time data in decision-making will create a significant demand for solutions provided by Kafka and similar technologies.
user15 1 year ago prev next
@user13 Hard to argue. Real-time data pipelines are on the rise!
user3 1 year ago prev next
I'm new to the world of data engineering and Apache Kafka is a bit intimidating at first. This article provides a good foundation for the basics, so thank you!
user4 1 year ago next
Welcome to the big ol' data pipeline world, user3! Kafka can be tricky, but trust me, once you get the hang of it, it's a powerful tool. Always remember, one message at a time
user5 1 year ago prev next
I second user4's advice, take it slow, one step at a time. Break things down and learn at your own pace. That's the best way to understand and appreciate Kafka's capabilities.
user6 1 year ago prev next
I couldn't agree more with user4 and user5! Let's not forget that even though Kafka is powerful, it's crucial to know its limitations.
user10 1 year ago prev next
I recently implemented a real-time web analytics system with Kafka. It was my first rodeo and it took a couple of rough weeks until I got it working. Kudos to the authors for this insightful content!
user11 1 year ago next
@user10 Well done! Any advice for the folks trying to get started with Kafka?
user10 1 year ago next
@user11 Be patient, take it step-by-step, and practice. If possible, create a simple project at first, bring it to a solid state, and build confidence.
user12 1 year ago prev next
@user11 Make sure you understand Kafka's concepts (broker, topics, partitions, offsets, producers, consumers, etc.). They're essential in making sense of the landscape.