All posts tagged with kafka

Editor’s Note: One of the joys of building Heroku is hearing about the exciting applications our customers are crafting. SHIFT Commerce - a platform helping retailers optimize their e-commerce strategy - is a proud and active user of Heroku in building its technology stack. Today, we’re clearing the stage for Ryan Townsend, CTO of SHIFT, as he provides an overview of SHIFT’s journey into building microservices architecture with the support of Apache Kafka on Heroku.

Software architecture has been a continual debate since software first came into existence. The latest iteration of this long-running discussion is between monoliths and microservices – large self-contained applications vs...

Designing scalable, fault tolerant, and maintainable stream processing systems is not trivial. The Kafka Streams Java library paired with an Apache Kafka cluster simplifies the amount and complexity of the code you have to write for your stream processing system.

Unlike other stream processing systems, Kafka Streams frees you from having to worry about building and maintaining separate infrastructural dependencies alongside your Kafka clusters. However, you still need to worry about provisioning, orchestrating, and monitoring infrastructure for your Kafka Streams applications.

Heroku makes it easy for you to deploy, run, and scale your Kafka Streams applications by using supported...

Event-driven architectures are on the rise, in response to fast-moving data and constellations of inter-connected systems. In order to support this trend, last year we released Apache Kafka on Heroku - a gracefully integrated, fully managed, and carefully optimized element of Heroku's platform that is the culmination of years of experience of running many hundreds of Kafka clusters in production and contributing code to the Kafka ecosystem.

Today, we are excited to announce additional plans and pricing in our Kafka offering in order to make Apache Kafka more accessible, and to better support development, testing, and low volume production needs.

At Heroku, we're always working towards improving operational stability with the services we offer. As we recently launched Apache Kafka on Heroku, we've been increasingly focused on hardening Apache Kafka, as well as our automation around it. This particular improvement in stability concerns Kafka's compacted topics, which we haven't talked about before. Compacted topics are a powerful and important feature of Kafka, and as of 0.9, provide the capabilities supporting a number of important features.

Meet the Bug

The bug we had been seeing is that an internal thread that's used by Kafka to implement compacted topics (which we'll explain more of shortly) can die in...

Heroku recently released a managed Apache Kafka offering. As a Node.js developer, I wanted to demystify Kafka by sharing a simple yet practical use case with the many Node.js developers who are curious how this technology might be useful. At Heroku we use Kafka internally for a number of uses including data pipelines. I thought that would be a good place to start.

When it comes to actual examples, Java and Scala get all the love in the Kafka world. Of course, these are powerful languages, but I wanted to explore Kafka from the perspective of Node.js. While there are no technical limitations to using Node.js with Kafka, I was unable to find many examples of their use together in tutorials,...

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