Freddy Guime

Episode 91. OracleJDK? OpenJDK?, Zulu? Corretto? So many!

So just in case you didn’t know, but being a Java developer is as fun as ever! The ecosystem has been changing from the past year, and today, we have “tons” of Java Developer Kits to choose from. Want to know what happened? And want to know how different they are? (or what do they bring to the table), then tune in!

In this episode we cover the history of OpenJDK, and uncover the reason of why there are many JDKs out there. We dive in some of the licensing terms (hint. If you are using Oracle JDK 8, make sure you are getting security updates on with a support plan!).

Then Bob dives into some very fun differences between OpenJDK, Azul, and OpenJ9… and the tool to “keep sane” with all these installations, SDKMan! So if you do Java development for a living (and even if you are a hobbyist) this episode explains all the different Java versions you can play with!

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Episode 90. Let’s get Recording (AND VIDEO!)

Java 14 is out! And with it, we now have a preview of Java Records! We go over this newfangled feature… and get this… we finally did it! We actually recorded our first Video Podcast (Woohoo!). A great episode Number as well (episode 90) to start the road to Video (I know, I know, very 2005 of us), but now you can not only listen to our voices, but actually look at the code as we type so you can follow along!

So yeah, with records, we are essentially incorporating (almost natively) what some of Lombok’s @Data features were, including default (sensible) implementations of equals and hashcode. A great episode to not only listen… but to watch! Let us know any feedback you have as we embark into Video (you know where to find us)

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We thank DataDogHQ for sponsoring this podcast episode and providing our Guest Speaker!

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Episode 89. Kubernetes! (Oh container orchestration)

You heard it going around, everybody is talking about Kubernetes, and Minikube, when using Docker, and CLI. It’s like a foreign language! While we know Java very well, with the advent of Devops, we are supposed to be Deployers, and Scalability Experts. Well, once you start going down this episode you’ll become the DevOps Hero your company was waiting for!

Kubernetes is interesting because is a technology that matured almost in tandem with Docker. But Kubernetes is not Docker…Instead Kubernetes manages Docker Containers (among other things). So if you’ve been wondering what exactly it is? and were afraid (or just didn’t know where to start), well, fear no more! We’ll unveil all the Kubernetes mysteries

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We thank DataDogHQ for sponsoring this podcast episode and providing our Guest Speaker!

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Episode 88. Logging! (An Interview w/Renaud from DataDog)

One of the first things that you learn to appreciate when you transition programming from hobby to a way of life is to find a good way to troubleshoot problems. Most of the time this means logging and monitoring, so for this episode we decided to interview Renaud Boutet who is DataDog’s VP of Product Manager, and don’t worry, he’s really a developer that went to the “Management” (i.e. dark) side, so he knows what he’s talking about!

Diving into topics from Logging Frameworks, to MDC, to a discussion of the three pillars of observability (Metrics, Traces, and Logs), this episode have good advice for everyone. From your first System.out.println (“I’m here”) to your slf4j with MDC setup, you’ll sure learn new tips and tricks!

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We thank DataDogHQ for sponsoring this podcast episode and providing our Guest Speaker!

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Episode 87. Ok, it’s time to get Reactive!

It’s that Streaming-new-deal that has been taken over the web world, Reactive! You’ve heard about it, and maybe even tried to learn it a couple of times but find it confusing? Well, be confused no more since on this episode Bob and I explore the basic foundations of Reactive (and explain what is that makes is so confusing to begin with)

But that’s not all. We also dive on why is such a “hot” technology and why is the recommended approach on new microservices, even so, we also explore its drawbacks and why we shouldn’t rip everything apart to make “reactive” things.

Lastly we start exploring one of the “reactive” frameworks with Spring WebFlux, and explore how to “think” about Reactive (and came with the marble track analogy). In all, this episode will shed light on a topic that has been hard to understand, but on which, if done correctly can bring a very large performance gain!

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We thank DataDogHQ for sponsoring this podcast episode

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Episode 86. Move Over Slow Startup times, GraalVM…IS…HERE. (and cross-language support, and less memory footprint…)

Oh my! This episode is going to be one of our favorites. There are times where the Java ecosystem delivers something incredibly interesting (InvokeDynamic, Lambdas, Streams, Kotlin), and this episode is one of those! You may have heard it mentioned around the interwebs or conferences (this new GraalVM thing)… well, it’s here to stay and is propelling JVM languages to a whole new level of interoperatibility and performance!

So GraalVM at the very high-level view is a “Java Virtual Machine” (in reality there’s much more to it, but we can at least start there). It provides tons of interesting features, like the ability to not only compile Java/JVM languages, but also Javascript, LLVM Languages (like C++), Python, R (and is expanding to others), and more importantly, interoperatibility between all these languages.

But the bee’s knees (or the most interesting fact) is that GraalVM also have the “Native Image”, which allows you to completely bake in a Linux (more platforms coming) binary straight up from your source code. The Native Image doesn’t require Java to be installed, and you can start your application as you would any other Linux executable. The most impressive part? Startup times are incredibly fast!

So we have usually addressed tons of misinformed myths of the Java language like “It’s slow:” (No, not really), or “You can code more performant code in C++” (possibly, but you have to be an expert to squeeze more performance than the JVM’s JIT compiler). But one area that the claim has held true is that “Java has slow startup times”. And (it used to be) true! Because of the dynamic classloading that Java supports, it’s very hard for the JVM to startup fast. For long running applications this is usually not a problem, even so, for the new Cloud folks (and Lambdas, and AutoScaling Groups), fast startup time is a “thing”. And so, with GraalVM (with some caveats) we are conquering one of the last arguments against the JVM languages.

In all, THIS is the episode to listen this year. It’s exciting, new technology that we could really spin up and use. Let’s have fun programming again with GraalVM.

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We thank DataDogHQ for sponsoring this podcast episode

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Do you like the episodes? Want more? Help us out! Buy us a beer!


And Follow us! @javapubhouse and @fguime and @bobpaulin

Episode 85. Monitor the World with JMX!

There are technologies that sometimes are forgotten in a lonely corner, but that actually are quite sturdy. One of these is the All-Powerful Java Management Extensions (also known as JMX). With JMX you can actually expose a lot of metrics of your application and TONS of libraries use it “out of the box”. Libraries like Tomcat, JVM, ActiveMQ, Spring (and ton others) exposes their metrics through JMX. And you can too!

In this episode we go over how to both consume JMX metrics (through JConsole, or statsD, or other Performance Monitoring Tools), and how to produce them as well (By creating your own MBeans), not only that, but we also go with how to be able to “invoke” these on a live application. Have you ever wanted to say “Oh my, I wish I could call this method while the program is running in production ‘At will'”. Well, with MBeans, you can make that happen! Not only that, but if you really want to you can also expose your MBeans through a Rest Endpoint with Jolokia.

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We thank DataDogHQ for sponsoring this podcast episode

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We also thank OverOps for sponsoring this podcast episode

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Don’t forget to SUBSCRIBE to our cool NewsCast! Java Off Heap



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Episode 84. Let’s get down and dirty w/Netty!

So you get that project that needs to connect to a server that doesn’t talk rest, or http(s), but has its own protocol (or maybe it DOES talk https but you are looking for incredible performance!). Well, look no further than Netty! Sure, sure, you could really spend time working with NIO.2 and creating your own sockets and all that jazz, but why? The Netty.io folks already did it, and by golly they created a library that’s “blazingly fast”.

So take a dive into this episode where we talk about the main netty concepts (like pipelines and handlers), and give you a tip or two as you embark down into protocol performance bliss. Netty has seen it all, and has been battle tested for a while now (Have you heard of Jetty? well, that has Netty under the hood), and best of all, we go over how to be “lazy” about it! Netty really implemented a lot of protocols, events, and stuff already (for example LengthFieldBasedFrameDecoder, ProtobufVarInt32FrameDecoder, SslHandler, WebSocket00FrameDecoder and much more!), so you don’t have to be the wiser and implement things from scratch… chances are… Netty already has them (or at least will have the right tools to create your own thing).

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We thank DataDogHQ for sponsoring this podcast episode

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We also thank OverOps for sponsoring this podcast episode

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Don’t forget to SUBSCRIBE to our cool NewsCast! Java Off Heap



Do you like the episodes? Want more? Help us out! Buy us a beer!


And Follow us! @javapubhouse and @fguime and @bobpaulin

Episode 83. Hey! Your app needs its yearly HealthCheck as well!

You got your new project, it’s a brand new service, and is ready to go! But… have you done a health check endpoint for your app? In this day and age of microservices with auto-remediation and auto-scaling, having a well-behaved, functioning health-check is very important since it dictates when to evict, scale up (or down) your service.

And the great news is, that for the “bigger” frameworks (like Spring or Microprofile) the work is almost done for us! With Spring Boot Actuator and Microprofile, we have tons of support and annotations, and built-in healthchecks for the main “things”, like database connectivity, Message Queue connectivity, even Email settings!.

So don’t put it off…start listening to this podcast, and then start creating that oh-so-needed health check for your app! Also, stay tuned to this episode as we give a “hint” of new podcast series to come!

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We thank DataDogHQ for sponsoring this podcast episode

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We also thank OverOps for sponsoring this podcast episode

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Don’t forget to SUBSCRIBE to our cool NewsCast! Java Off Heap



Do you like the episodes? Want more? Help us out! Buy us a beer!


And Follow us! @javapubhouse and @fguime and @bobpaulin

Episode 82. Uh-oh Spring… you got some serious competition from Micronaut!

So the internet is all raging about this (not so little) framework that is doing it all. Created with a “cloud-first” mentality, @Micronautfw is aiming to be your next Spring Boot! And, oh gosh, how easy they are making it.

We dive into what makes Micronaut such a darling of the internet right now (not using reflection, GraalVM ready, better memory consumption) and see how much “stuff” is in there (the TLDR; A Lot). We go from creating a microservice, to looking at the different already-implemented features like circuit breakers, properties/profiles, beans, support for lambdas, micrometer, reactive programming, and all. While it might not have “everything” that Spring does, the reality is that it’s pretty solid.

Would you consider Micronaut for your next project? The answer is maybe (and for some cases, maybe Yes). So come, and take a listen to the underdog framework (Micronaut) that’s stepping up to definitively take the reigning Champ (Spring)

FOLLOW US JavaPubHouse on twitter! Where we will be sharing new tech news, and tutorials!



We thank DataDogHQ for sponsoring this podcast episode

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We also thank OverOps for sponsoring this podcast episode

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Don’t forget to SUBSCRIBE to our cool NewsCast! Java Off Heap



Do you like the episodes? Want more? Help us out! Buy us a beer!


And Follow us! @javapubhouse and @fguime and @bobpaulin