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Innhold levert av Freddy Guime and Bob Paulin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Freddy Guime and Bob Paulin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Episode 101. Allright, let's talk about Kafka

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Manage episode 346421359 series 2852088
Innhold levert av Freddy Guime and Bob Paulin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Freddy Guime and Bob Paulin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Whew! So we took a big break over summer (like Bob said, we were just swamped with work.. oof), but we are BACK! and like always we are ready to explore even deeper Java topics for the professional developer.

This time we set our sights in Apache Kafka, one of the (if not THE) dominant distributed messaging framework / broker. If you have been integrating webservices, you might have been running into message brokers (and applying Enterprise Integration Patterns), well if so, you most likely have run into Kafka.

We dive into "What does Kafka Solve", into what it is (and isn't), and why you should use it (or not use it), and how it differs from traditionalling Messaging systems.

In all, this is another episode of "Cloud stuff", and, like you know, that's where everything interesting is at! So have a listen!

http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode

Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/

Apache Kafka https://kafka.apache.org/

Kafka Quick Start https://developer.confluent.io/quickstart/kafka-on-confluent-cloud/

What IS Apache Kafka https://developer.confluent.io/what-is-apache-kafka/

Apache Kafka Quickstart (With Tim Berglund, Hi!!!) https://kafka.apache.org/quickstart

Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer

And Follow us! https://www.twitter.com/javapubhouse

  continue reading

107 episoder

Artwork
iconDel
 
Manage episode 346421359 series 2852088
Innhold levert av Freddy Guime and Bob Paulin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Freddy Guime and Bob Paulin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Whew! So we took a big break over summer (like Bob said, we were just swamped with work.. oof), but we are BACK! and like always we are ready to explore even deeper Java topics for the professional developer.

This time we set our sights in Apache Kafka, one of the (if not THE) dominant distributed messaging framework / broker. If you have been integrating webservices, you might have been running into message brokers (and applying Enterprise Integration Patterns), well if so, you most likely have run into Kafka.

We dive into "What does Kafka Solve", into what it is (and isn't), and why you should use it (or not use it), and how it differs from traditionalling Messaging systems.

In all, this is another episode of "Cloud stuff", and, like you know, that's where everything interesting is at! So have a listen!

http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode

Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/

Apache Kafka https://kafka.apache.org/

Kafka Quick Start https://developer.confluent.io/quickstart/kafka-on-confluent-cloud/

What IS Apache Kafka https://developer.confluent.io/what-is-apache-kafka/

Apache Kafka Quickstart (With Tim Berglund, Hi!!!) https://kafka.apache.org/quickstart

Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer

And Follow us! https://www.twitter.com/javapubhouse

  continue reading

107 episoder

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