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The data Artisans Blog

Apache Flink, stream processing, event-driven applications, and more.

Category: Resources

How To Size Your Apache Flink® Cluster: A Back-of-the-Envelope Calculation

A favorite session from Flink Forward Berlin 2017 was Robert Metzger’s “Keep It Going: How to Reliably and Efficiently Operate Apache Flink”. One of the topics that Robert touches on is how to ...

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On Designing a Stream Processing Benchmark

Update December 18, 2017: We wrote a follow-up blog post about stream processing benchmarks that goes into more detail about the issues we see with common benchmarking methods. It serves as a useful a...

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Complex Event Generation for Business Process Monitoring using Apache Flink®

This is a guest post by Hung Chang & Mihail Vieru of Zalando. It originally appeared on the Zalando Technology Blog and was reposted here with permission. While developing Zalando’s real-time busi...

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Dynamically Configured Stream Processing: How BetterCloud Built an Alerting System with Apache Flink®

Many Apache Flink® users are building applications for alerting or anomaly detection, and ING and Mux are two such examples from the most recent Flink Forward conference. Today, we’ll highlight the...

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data Artisans – Mesosphere Webinar + Live Q&A: April 25 at 10am Pacific Time

Jamie Grier, data Artisans’ Director of Applications Engineering, will co-host a webinar with members of the Mesosphere team on April 25, 2017, at 10am Pacific Time. You can register here. We hope y...

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Queryable State in Apache Flink® 1.2.0: An Overview & Demo

Ufuk Celebi (@iamuce) is a co-founder and software engineer at data Artisans.  2016 was the year that stateful, event-time, and event-at-a-time stream processing arrived as the paradigm for high-thro...

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Drivetribe’s Modern Take On CQRS With Apache Flink®

This is a guest post from Aris Koliopoulos, a senior software engineer at London-based Drivetribe. Drivetribe is the world’s digital hub for motoring. The platform was created by former Top Gear pre...

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Stream Processing Myths Debunked

By @kostas_tzoumas and @wints Needless to say, we here at data Artisans spend a lot of time thinking about stream processing. Even cooler: we spend a lot of time helping others think about stream pro...

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Savepoints, Part 2: Streaming Applications in the Pit Lane

By Fabian Hueske (@fhueske) and Mike Winters (@wints) Last month, we gave a high-level overview of Apache Flink® savepoints and touched on why and how you’d reprocess data in a streaming applicatio...

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Savepoints: Turning Back Time

This post is the first in a series where the data Artisans team will highlight some of Apache Flink’s® core features. By Fabian Hueske (@fhueske) and Mike Winters (@wints) Stream processing is comm...

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