What Does Fully Managed Really Mean?
As I’ve come on board at Eventador and gotten ramped up, one subject that stood out immediately as crucial to us and that we talk about in-depth, is the reality of our fully managed support.
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$3.8MM Funding To Fuel Innovation And Growth
Eventador announces $3.8MM seed round (including conversion of $1.3MM angel round) led by LiveOak Venture Partners.
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The Eventador Stream Processing Stack
Eventador allows you to quickly build and manage modern streaming data workflows on top of these state of the art platforms – Kafka and Flink.
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Kafka SASL Authentication
Core support for Simple Authentication and Security Layer (SASL) was added to Apache Kafka in the 0.10.2 release. We are excited to add this authentication mechanism to the Eventador service. Here is how it works.
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Flink, JSON and Twitter
While Twitter and WordCount are probably two of the most common ways to get started with streaming data. In this post, I’m going to explore some techniques to normalize, window, and introspect the data.
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The Flink Table And SQL API
Apache Flink offers two simple APIs for accessing streaming data with declarative semantics – the table and SQL APIs. We dive in and build a simple processor in Java using these relatively new APIs.
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From Zero To Stream Processing
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.
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Planestream – The ADS-B Datasource
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, massively dynamic, and with a lot of data.
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Apache Flink® On Eventador.Io
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.
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Microservices Enable Our New Enterprise Plan
Customer began asking for additional deployment options: they wanted the scalability and performance of Kafka teamed with the compute capabilities of Flink, and the support, tooling, management, and ease of use of Eventador.
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Announcing Apache Flink 1.3 On Eventador.Io (Beta)
Flink has become popular in recent years—a number of companies have started weaving it into their data backbones for critical line-of-business applications. We’ve had numerous discussions with customers about Flink. Our path became clear.
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0.9: Teams, Github, Plans And More
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.
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0.8: PrestoDB & Eventador.io
Since the very first release of Eventador.io, we have had a SQL interface. We believe that SQL is an incredible language for dealing with streaming data and it opens up an ecosystem of utilities.
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0.7 Release And Looking Towards 1.0
Eventador 0.7 is out! We pushed a number of bug fixes and minor improvements that will make our platform more powerful and easy to use.
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