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.
The Eventador Blog
Insights into Streaming Data
and the Eventador platform
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 […]
Every Kafka deployment on Eventador has an associated access control list (ACL). The ACL defines what IP addresses are whitelisted and allowed access to produce and consume to and from your deployment. In fact, there are no entries at deploy time, thus access is completely denied. In order to use our service you must first […]
Getting connected and producing (publishing) and consuming (subscribing) messages is relatively easy in Apache Kafka. In this post we will go over connecting, producing a simple message, and consuming that message via one of a couple native python clients. Most languages are similar and there are a host of native drivers to choose from.
With the release of Eventador 0.5 we are introducing new plans with one-click provisioning. This allows you to deliver your projects in a more timely basis, save costs on valuable resources, leverage the cloud more effectively, get worry free 24×7 support, and have best in class data pipeline infrastructure simply by using Eventador.io. I thought […]
Apache Kafka was built by a team of Engineers at LinkedIn circa 2000. They were trying to solve the problem of how to pipeline data between various components of their micro-services based architecture. They decided they needed a single pub/sub messaging platform designed to move data efficiently. Kafka was born. Flash forward 2015. @erikbeebe and […]