Joe has been working in IT for the past 25 years, with 15 of those years specializing in web and application based enterprise solutions. He focuses currently on Apache Web Server and J2EE technologies.
Latest Content from Joe Carder
Blog
IBM MQ vs. Kafka vs. ActiveMQ: Comparing Message Brokers
In this blog, our expert compares the major differences and use cases for three message brokers: IBM MQ, which is proprietary software, and Kafka and ActiveMQ, which are open source.
Apache Kafka, Middleware
Blog
Exploring Kafka 4: Changes and Upgrade Considerations
Kafka 4 is here. Get details on the major changes, removals, and what to consider as you plan your Kafka upgrade.
Apache Kafka
Blog
Running Kafka Without ZooKeeper in KRaft Mode
Get an overview of Kafka Raft (KRaft) metadata mode and find how it differs from ZooKeeper, which will no longer be supported in Kafka 4.X releases.
Apache Kafka
Blog
Solving Complex Kafka Issues: Enterprise Case Studies
In this blog, read case studies about some of the complex Apache Kafka issues that the OpenLogic Professional Services team was able to resolve for finance, marketing, and aerospace customers.
Apache Kafka
Blog
Exploring Redis Alternatives
In this blog, our expert compares Redis, an open source key-value database, to other open source data technologies.
Databases
Blog
Apache Kafka vs. Redis: Are They Truly Comparable?
Kafka vs. Redis, while an often-searched topic, isn't the 1:1 comparison a lot of people seem to think it is. See why in this blog.
Apache Kafka
Blog
What's New in Apache Kafka 3.5: Features to Watch
Our expert explains what’s new in Kafka 3.5, touching on new and deprecated features, as well as what may be coming in future 3.x releases and what to consider before upgrading.
Apache Kafka
Blog
Exploring ActiveMQ Artemis
This blog gives an overview of ActiveMQ Artemis features, how it compares to vanilla ActiveMQ, and considerations for use in production.
Web Infrastructure, Middleware
Blog
Processing Data Streams with Kafka and Spark
In this blog, our expert discusses the popular combination of Apache Kafka and Spark Streaming for processing data streams, compares Kafka Streams to Spark Streaming, and explains how to integrate Kafka and Spark.