Frameworks

Episode 96. Watching Metrics w/Micrometer and Statsd

You’ll run it everywhere there’s a production system. Some kind of Metrics collector like Statsd or InfluxDB. They work like magic, reporting on the health of your application. but how does it really happen?

We dive in on how these Application Performance Management tools work and how do they really “see into” your application. We demistify all this magic, and actually describe how to add “new” metrics and how to publish it!

If you ever worked in a production application, and were wondering how do these metrics get graphed and collected, well, wonder-no-more! We go deep into Micrometer (the SLF4J of Metrics) and how it all works!

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We thank DataDogHQ for sponsoring this podcast episode

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

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Micrometer
https://micrometer.io/

Creating Meters
https://micrometer.io/docs/concepts#_meters

Spring Boot and Micrometer
https://spring.io/blog/2018/03/16/micrometer-spring-boot-2-s-new-application-metrics-collector

Statsd
https://github.com/statsd/statsd

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Episode 93. Not your Grandpa’s Serialization Part DEUX!

We’re back! and now we move to the new-fangled serialization and deserialization frameworks, starting with Protobufs! Google’s contribution to the serialization space, Protobuf V3 makes it easy to create a very efficient on-the-wire serialized representation of objects, and then some. With the ability to have both backwards and forward compatible changes, protobufs is a great choice for transmitting information across services.

But not to be outdone, @BobPaulin goes in and covers Thrift, which goes a step beyond than just serializing messages, but also takes care of the “Transport layer”, adding the ability of doing Remote-procedure-calls! Imagine if instead of saying “I need to send a message to that service, and then the service can process it and send info back”, you just said. “I want to call a method on that service with this parameters and get the results”. Thrift exposes that functionality by letting you have an interface that you can just call in your client service, and it “magically” coordinates all the gnarly stuff to encode, transmit, execute, decode, and present your call. You don’t even have to think (too deeply) about how it all happens. As long as you define your thrift objects, thrift methods, and Thrift transport, the framework will let you just think of methods to call! that’s it!

So in all, a very fun episode where we discover what the new types of serialization frameworks are up to. If you ever had to create a message, or ever had to annotate an object as Serializable, then do take a listen to this episode!

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Episode 92. Not your Grandpa’s Serialization!

Ah, Serialization… the bane of every Java Developer! If you are still using ObjectOutputStream, and Serializable, then you do want to listen to this episode! We move past the objectoutputstreams to what most people are running into these days! (Starting with 2001 and JaxB… and then moving forward from there to Json, and in Part 2…protobuf and thrift!).

But oh, no all serialization is equal, and there are tradeoffs are we go through the different serialization / deserialization libraries (Convenience, Speed, Rigor? all these are things that one need to take into account when choosing a serialization strategy). So take a listen (and watch the video if you want to follow along) as we explore the interesting and great world of Java serialization frameworks!

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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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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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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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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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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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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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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)

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We also thank OverOps 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