<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data Streaming on Jaehyeon Kim</title><link>https://jaehyeon.me/tags/data-streaming/</link><description>Recent content in Data Streaming on Jaehyeon Kim</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Copyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.</copyright><lastBuildDate>Thu, 04 May 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://jaehyeon.me/tags/data-streaming/index.xml" rel="self" type="application/rss+xml"/><item><title>Kafka Development with Docker - Part 1 Cluster Setup</title><link>https://jaehyeon.me/blog/2023-05-04-kafka-development-with-docker-part-1/</link><pubDate>Thu, 04 May 2023 00:00:00 +0000</pubDate><guid>https://jaehyeon.me/blog/2023-05-04-kafka-development-with-docker-part-1/</guid><description>[UPDATE 2025-10-01]
Bitnami&amp;rsquo;s public Docker images have been moved to the Bitnami Legacy repository. To ensure continued access and compatibility, please update your Docker image references accordingly.
For example:
bitnami/kafka:2.8.1 → bitnamilegacy/kafka:2.8.1 bitnami/zookeeper:3.7.0 → bitnamilegacy/zookeeper:3.7.0 bitnami/python:3.9.0 → bitnamilegacy/python:3.9.0 I&amp;rsquo;m teaching myself modern data streaming architectures on AWS, and Apache Kafka is one of the key technologies, which can be used for messaging, activity tracking, stream processing and so on. While applications tend to be deployed to cloud, it can be much easier if we develop and test those with Docker and Docker Compose locally.</description><enclosure url="https://jaehyeon.me/blog/2023-05-04-kafka-development-with-docker-part-1/featured.png" length="98355" type="image/png"/></item></channel></rss>