106 episodes

This podcast talks about how to program in Java; not your tipical system.out.println("Hello world"), but more like real issues, such as O/R setups, threading, getting certain components on the screen or troubleshooting tips and tricks in general. The format is as a podcast so that you can subscribe to it, and then take it with you and listen to it on your way to work (or on your way home), and learn a little bit more (or reinforce what you knew) from it.

Java Pub House Freddy Guime & Bob Paulin

    • Technology
    • 4.8 • 44 Ratings

This podcast talks about how to program in Java; not your tipical system.out.println("Hello world"), but more like real issues, such as O/R setups, threading, getting certain components on the screen or troubleshooting tips and tricks in general. The format is as a podcast so that you can subscribe to it, and then take it with you and listen to it on your way to work (or on your way home), and learn a little bit more (or reinforce what you knew) from it.

    Episode 104. It's all about Apache Tika, the project that lets you index EVERYTHING.

    Episode 104. It's all about Apache Tika, the project that lets you index EVERYTHING.

    So we continue to have guests in our show to talk to us about interesting things... This time is about Apache Tika. This is an incredible tool to do search file processing and metadata extraction. Think about that you have tons of unstructured files, like emails, or documents, and you want to extract, index and then search theses. This is Tika's purpose. And who best to walk us through how it does its magic that its Project Management Committee (PMC) Chair, Tim Allison!
    So take a listen as we go deeper on ingesting tons of content (which is fundamental for things like training LLMs).
    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 Tika
    * https://tika.apache.org/
    OpenSearch Project and OpenSearch Neural Plugin Tutorials
    * https://opensearch.org/
    * https://opensearch.org/docs/latest/search-plugins/neural-search/
    * https://opster.com/guides/opensearch/opensearch-machine-learning/how-to-set-up-vector-search-in-opensearch/ 
    * https://opster.com/guides/opensearch/opensearch-machine-learning/opensearch-hybrid-search/
    * https://sease.io/2024/01/opensearch-knn-plugin-tutorial.html
    * https://sease.io/2024/04/opensearch-neural-search-tutorial-hybrid-search.html
    Selected Advanced File Processing toolkits/services
    * https://unstructured.io/
    * https://aws.amazon.com/textract/
    * https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence
    Selected Hybrid Search/RAG toolkits (there are _MANY_ others!)
    * Haystack: https://haystack.deepset.ai/
    * LangChain: https://www.langchain.com/
    * LangStream: https://langstream.ai/
    Search/Relevance Conferences
    * https://haystackconf.com/
    * https://2024.berlinbuzzwords.de/
    * https://mices.co/
    Tim's personal project
    * JavaFX (ahem) tika-config writer UI: https://github.com/tballison/tika-gui-v2

    Do you like the episodes? Want more? Help us out! Buy us a beer!
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    • 1 hr 16 min
    Episode 103. Let's share data cross-language with Apache Arrow! (among other things)

    Episode 103. Let's share data cross-language with Apache Arrow! (among other things)

    We have a great time talking to Matt Topol from Voltron Data on one of his Apache Software Foundation projects called Apache Arrow. It's both a spec and implementation of a columnar data format that is not only efficient, but cross-language compatible. We walk through the scenarios that it covers and how is becoming more and more pivotal for things like ML and LLMs. So come listen to this JPH episode on one of the best and free ways to distribute data and integrate services working on top of that data!
    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 Arrow Project (https://arrow.apache.org/)
     - Java implementation (https://arrow.apache.org/docs/java/index.html)
     - In-Memory Analytics with Apache Arrow (https://www.oreilly.com/library/view/in-memory-analytics-with/9781801071031/)
     - Matt Topol X (Twitter!) Account (https://twitter.com/zeroshade)
     - 
    Do you like the episodes? Want more? Help us out! Buy us a beer!
    https://www.javapubhouse.com/beer
    And Follow us! 
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    • 1 hr 32 min
    Episode 102. Oh my... Spring Boot 3 is out! An interview with Dan Vega from the Pivotal Team!

    Episode 102. Oh my... Spring Boot 3 is out! An interview with Dan Vega from the Pivotal Team!

    Ok, so it's an incredible time to be in the Java Ecosystem, and one of the biggest frameworks out there just dropped their three-point-oh version! That's right! So Spring Boot is not officially 3.0, and it has as a Baseline Java 17! (oohh!!). So we brought in the big guns to talk about what does it mean to Upgrade to Spring Boot 3, and what are the new cool toys we can expect from that upgrade! 
    In all, an amazing interview full of great things that are available NOW (so whatcha waiting for! Upgrade!)
    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/
     - Dan Vega's own What's new in Spring Boot 3 (https://www.danvega.dev/newsletter/whats-new-spring-boot-3/)
     - Official Spring Framework 6 Wiki (https://github.com/spring-projects/spring-framework/wiki/What's-New-in-Spring-Framework-6.x)
     - Spring Boot 3, and Spring Framework 6, What's new? (https://www.baeldung.com/spring-boot-3-spring-6-new)
     - Spring Boot 3 goes GA (https://spring.io/blog/2022/11/24/spring-boot-3-0-goes-ga)
     - Preparing for Spring Boot 3 (https://spring.io/blog/2022/05/24/preparing-for-spring-boot-3-0)
     - 
    Do you like the episodes? Want more? Help us out! Buy us a beer!
    https://www.javapubhouse.com/beer
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    • 56 min
    Episode 101. Allright, let's talk about Kafka

    Episode 101. Allright, let's talk about Kafka

    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!
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    And Follow us! 
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    • 49 min
    Episode 100. To the CLOUD... Which one? All of them!

    Episode 100. To the CLOUD... Which one? All of them!

    Yeah! so we have been working with the cloud for a while, terms like K8s, EC2, Route53, BlobData, CLI has been swinged around... and is a little mysterious, and sometimes looks like a black box where you just click buttons, add things, type commands, until it finally something good happens. But if something bad happens, we tend not to have the slightest idea on why!
    Never fear, on this episode of PubHouse we start from the very beginning on describing (And dismantling) what the "Cloud" really is... Starting on how we got there, what are the different "components" of most clouds, and how to reason about them.
    This way, the next time something unpredictable happens, you will know exactly where to start troubleshooting and how to navigate this space! This is the first episode of a series (probably a series of 2) on Cloud technologies. So if you never been exposed to the cloud and you're curious, or even if you've been working on it but everything sounds mysterious, then dive in!
    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/
    Intro to AWS 
    https://docs.aws.amazon.com/whitepapers/latest/aws-overview/introduction.html
    What is Elastic Load Balancing
    https://docs.aws.amazon.com/elasticloadbalancing/latest/userguide/what-is-load-balancing.html
    What is Amazon Route 53
    https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/Welcome.html
    EC2 vs ECS vs Lambda
    https://www.cloudzero.com/blog/ecs-vs-ec2
    Intro to Azure Fundamentals
    https://docs.microsoft.com/en-us/learn/modules/intro-to-azure-fundamentals/
    Azure Containter Registry
    https://azure.microsoft.com/en-us/services/container-registry/#features
    Azure Compute
    https://azure.microsoft.com/en-us/services/virtual-machines/#overview
    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
     

    • 1 hr 30 min
    Episode 99. SHHH! It's a secret! (Storing API Keys / Passwords / tokens!)

    Episode 99. SHHH! It's a secret! (Storing API Keys / Passwords / tokens!)

    Ok, so is time to talk about something secretive! Like API Passwords, Auth tokens, or keys... these are things that we want to have as a Secret within our microservice. And yeah, adding them into your source code is a big no-no
    Here we cover the dos (and dont's) of secret management, what are the benefits and drawbacks of the different solutions and we explore some of our favorite open source (and Cloud tools) for keeping secrets. We answer some important questions on how to effectively store and manage these secrets (the short answer is don't try to do it yourself!), and end up with the list of best practices for it.
    If you are building a non-trivial (or interesting) web service, this is a must-listen episode!
    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/

    Language Features
    Using AWS Secrets Manager to manage secrets in Spring Boot
    https://raymondhlee.wordpress.com/2019/10/11/using-aws-secrets-manager-to-manage-secrets-in-spring-boot-applications/
    AWS Secrets Manager
    https://aws.amazon.com/secrets-manager/
    Spring Cloud AWS
    https://cloud.spring.io/spring-cloud-aws/reference/html/
    Hashicorp Vault
    https://www.vaultproject.io/
    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
     

    • 1 hr 18 min

Customer Reviews

4.8 out of 5
44 Ratings

44 Ratings

Mr Java Guy ,

Gotta love it

Best podcast out there covering java now. Relevant discussions on server side and middle ware. They keep it light and real. Real programmers talking about best practices. Would love to join one of their on location audiences at Java One, Chicago or elsewhere .

Racellosaurus ,

Great!

I really appreciate this podcast. There aren't enough Java podcasts that still update regularly. Thank you!

evangeline Quilantang ,

Really knows his stuff. I learned a lot.

I wish there were more podcasts like this.

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