There is a coming and a going / A parting and often no—meeting again. —Franz Kafka, 1897 Load balancing and scheduling are at the heart of every distributed system, and […]
Kafka Summit San Francisco is just one week away. Conferences can be busy affairs, so here are some tips on getting the most out of your time there. Plan Go […]
As a distributed system for collecting, storing, and processing data at scale, Apache Kafka® comes with its own deployment complexities. Luckily for on-premises scenarios, a myriad of deployment options are […]
When people ask me the very top-level question “why do people use Kafka,” I usually lead with the story in my last post, where I talked about how Apache Kafka® […]
Running a single Apache Kafka® cluster across multiple datacenters (DCs) is a common, yet somewhat taboo architecture. This architecture, referred to as a stretch cluster, provides several operational benefits and […]
Static Membership is an enhancement to the current rebalance protocol that aims to reduce the downtime caused by excessive and unnecessary rebalances for general Apache Kafka® client implementations. This applies […]
For me, and I think for you, technology is cool by itself. When you first learn how consistent hashing works, it’s fun. When you finally understand log-structured merge trees, it’s […]
First, what is event sourcing? Here’s an example. Consider your bank account: viewing it online, the first thing you notice is often the current balance. How many of us drill […]
TL;DR Following on from How to Work with Apache Kafka in Your Spring Boot Application, which shows how to get started with Spring Boot and Apache Kafka®, here I will […]
We know that Apache Kafka® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the […]
