Hacker News with Generative AI: Kafka

What If We Could Rebuild Kafka from Scratch? (morling.dev)
The last few days I spent some time digging into the recently announced KIP-1150 ("Diskless Kafka"), as well AutoMQ’s Kafka fork, tightly integrating Apache Kafka and object storage, such as S3. Following the example set by WarpStream, these projects aim to substantially improve the experience of using Kafka in cloud environments, providing better elasticity, drastically reducing cost, and paving the way towards native lakehouse integration.
A Deep Dive into Ingesting Debezium Events from Kafka with Flink SQL (morling.dev)
Over the years, I’ve spoken quite a bit about the use cases for processing Debezium data change events with Apache Flink, such as metadata enrichment, building denormalized data views, and creating data contracts for your CDC streams.
KIP-1150: Diskless Kafka Topics (apache.org)
No results
Message stuck in Kafka queue for months delivered, writes bestselling novel (nareal.substack.com)
“In late May, I was sent across the ocean through an undersea cable to be delivered from the USA to India. It’s not like my life has much meaning, I exist as a bunch of bits, electronically defined and crafted, but physically, just a jitter of electric impulses. My developers certainly reminded me of that”
When Kafka is not the right Move (rejot.dev)
When designing distributed systems, event streaming platforms such as Kafka are the preferred solution for asynchronous communication. In fact, on Kafka’s official website, the first use-case listed is messaging1. My believe is that this default choice can lead to problems and unnecessary complexity. The main reason for this is the conversion between state and events, which we’ll look at in this article through a game of chess.
Show HN: C++ AWS MSK IAM Auth Implementation – Goodbye Kafka Passwords (github.com/timeplus-io)
Kafka at the low end: how bad can it get? (broot.ca)
There is oft-quoted advice that Kafka does poorly as a job queue. I’ve experienced this myself, and I wanted to formalize it a bit.
Taking a Look at Compression Algorithms (cefboud.github.io)
I recently undertook the delusional project of writing my own implementation of a Kafka Broker: MonKafka. Deep into that rabbit hole, I fell into a different one when trying to implement compression for Kafka’s record batches. Kafka supports, as of now, four schemes: GZIP, Snappy, LZ4, and ZSTD. While proceeding with my implementation, I realized I really didn’t know that much about the fascinating topic of compression.
Kafka's Screwball Tragedy: Investigations of a Philosophical Dog (mitpress.mit.edu)
Jepsen: Bufstream 0.1 (jepsen.io)
Bufstream is a Kafka-compatible streaming system which stores records directly in an object storage service like S3. We found three safety and two liveness issues in Bufstream, including stuck consumers and producers, spurious zero offsets, and the loss of acknowledged writes in healthy clusters. These problems were resolved by version 0.1.3.
How to Get Remote Code Execution in Kafka UI (github.blog)
Show HN: Kaskade – A text user interface for Kafka (github.com/sauljabin)
Bufstream: Kafka at 10x Lower Cost (buf.build)
Zero Disks Is Better (For Kafka) (warpstream.com)
Estimating Pi with Kafka streams (fredrikmeyer.net)
Kafka storage architecture evolution in one image (twitter.com)
Streaming Platform Comparision:Kafka/Confluent/Pulsar/AutoMQ/Redpanda/Warpstream (github.com/AutoMQ)
Tiered storage won't fix Kafka (warpstream.com)