While Twitter and WordCount are probably two of the most common ways to get started with streaming data, there’s good reason (for Twitter at least) – it’s a fun way to work on actual real-time, unbounded streams of interesting data. In this post, I’m going to explore some techniques to normalize, window, and introspect the […]
Early this week I gave a talk at the Austin Kafka/Stream Processing Meetup. It was a great time and we had a fantastic turnout. I wanted to share the slides, examples, and a couple of thoughts on the Meetup itself.
When we started Eventador.io in 2016 we needed a simple data source to help us build the platform on. We needed something that exemplified streaming data, something massively dynamic, and something with a lot of data. Tweets were played out, we wanted something better.
With the addition of Apache Flink – Eventador.io has a true end-to-end enterprise grade stream processing platform. We run the complex infrastructure and provide support, you can focus on your streaming code.
One of the omnipresent challenges of building a product from scratch is you don’t initially know exactly how customers will want to use it. You build the product you would want to use and are passionate about, however, you must also listen to customers as you evolve your product to deliver exactly what they really […]
Since we first opened the doors at Eventador.io, customers have been building applications that make use of Apache Kafka for a wide variety of streaming data use cases. Over time, it became clear we were only solving for one part of the complete picture. With Kafka, our service had the data transport, durability, and scalability, […]
This release focuses on making the service even more robust, easier to use, and overall customer experience. Many of these features were inspired by direct feedback from you, our customers. Thank you for helping us build the best Apache Kafka™ managed service in existence.
Since the very first release of Eventador.io we have had a SQL interface. We strongly believe that SQL is an incredible language for dealing with streaming data. Not only semantically, but also because it opens up a whole ecosystem of tools and utilities. As we have grown and gathered customer feedback over the last number […]
Eventador 0.7 is out! It’s our first release after gathering customer feedback and lessons learned from the platform since our 0.5 release. We pushed a number of bug fixes and minor improvements that will make our platform more powerful and easy to use. Additionally, we launched a couple of really important new features: One-Click Scaling […]