Learn about using Apache Kafka® and Apache Flink® in tandem in a gaming use case! Or, learn about them separately in our other resources listed this week. We’ve also got Schema Registry best practices, smart retry mechanisms, and a GitHub data use case on the Kafka side of things—all blog posts! For Flink, we’re featuring Robin Moffat’s slides about Flink SQL for non-Java devs and a Flink in Java course module from Confluent Developer. Dive in!

Apache Kafka Resources:

• Check out the 15 commandments of Confluent Schema Registry, aka the best practices that Robert Yokota lays out in his most recent blog post.
• Read A Deep Dive Into Smart Retry Mechanisms with Kafka by Daniel Sazdov.
• Get an introduction to Windows in Kafka Streams, complete with helpful diagrams, from Dan Edwards in this blog post.
• Learn how to process GitHub data with Kafka Streams with Lucia Cerchie’s blog post and accompanying GitHub code.

Apache Flink Resources:

• View the slides for Robin Moffat’s talk from Kafka Summit London: Here Be Dragons^H^H Stacktraces: FlinkSQL for Non-Java Developers.
• Watch Volker Janz show us how to execute Real-Time Customer Engagement in Gaming Using Kafka and Flink!
• Say goodbye to “works on my machine” when you’re learning data streaming… try out Gitpod for Confluent Developer! Get started with a module from the Flink in Java course.
• Watch the recording of the keynote at Kafka Summit London 2024, where Confluent celebrated the community and highlighted momentum in Apache Kafka, announced the GA of Confluent Cloud for Apache Flink, and introduced Tableflow, for connecting Kafka with Apache Iceberg® tables (for integration with data lakes, warehouses, or analytics engines).

A Droplet from Stack Overflow:

Read this succinct summary of what a Flink SQL table is from David Anderson to understand both the philosophy and implementation of Flink SQL tables.

Got your own favorite Stack Overflow answer related to Flink or Kafka? Send it in to devx_newsletter@confluent.io!

Terminal Tip of the Week:

This is how you spin up a Kafka cluster and compute pool with confluent-flink-quickstart:

confluent flink quickstart \
    --name cluster_name \
    --max-cfu 10 \
    --region us-east-1 \
    --cloud aws

But what do these flags mean?

confluent flink quickstart \
    --name cluster_name \ the name of the cluster you'd like to start up
    --max-cfu 10 \  a CFU is a logical unit of processing power that is used to measure the resources consumed by Confluent Cloud 
    --region us-east-1 \ the region to start both the cluster and the compute pool (must be the same)
    --cloud aws\ the cloud service you'd like to launch your cluster and compute pool one

Links from Around the Web:

• You think you know how a bicycle works… but do you really?
• An interactive history of SSL/TLS and PKI
• Learn about the Lisa, Apple’s most influential failure

Upcoming Events:

Hybrid

• Current 2024 (Sep 17-18): The call for papers for Current 2024 is now closed. Thank you for your submissions! We will keep you updated on speaker and agenda announcements as they become available.
• Kafka Summit Bangalore (May 2): Registration for KSB is still open! While we wait for the first-ever Kafka Summit in Bangalore, you can check out the agenda and speakers for the event.

In-person

• Data enrichment patterns with Apache Flink (June 5): Subham Rakshit from AWS will speak on enriching streaming data on June 5 at Community Over Code in Bratislava, Slovakia.

By the way…

We hope you enjoyed our curated assortment of resources! If you’d like to provide feedback, suggest ideas for content you’d like to see, or you want to submit your own resource for consideration, email us at devx_newsletter@confluent.io!

If you’d like to view previous editions of the newsletter, visit our archive.

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P.S. If you want to learn more about Kafka, Flink, or Confluent Cloud, visit our developer site at Confluent Developer.