With 2018 wrapping up, I wanted to take a few minutes (and inches of space here) to talk a bit about Eventador in this last year. This year, and the massive growth we’ve enjoyed, has been a rollercoaster of the best kind for the entire team.
Since my initial post on the Flink table and SQL API there have been some massive and, frankly, awesome changes. Let’s go over the changes that Fink 1.6 brought to the table step-by-step.
I’m fresh off the plane from two back to back weeks in San Francisco – starting with the Kafka Summit 2018 and finishing up with Oracle OpenWorld. Two drastically different conferences, but they both reinforce our thinking and continue to bolster our opinion: The defacto system-of-record for the enterprise is moving to a distributed log […]
Streaming data is everywhere. IoT, high tech manufacturing, national security, smart cities, web log analysis, systems telemetry, AI and ML workflows, and a myriad of other modern use cases are driving this trend skyward.
Core support for Simple Authentication and Security Layer (SASL) was added to Apache Kafka in the 0.10.2 release. This allows for simple username/password authentication to Kafka using SASL. We are excited to add this authentication mechanism to the Eventador service. Here is how it works.
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.