Microservices

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

January 1, 2022 Freddy Guime Apache, Cloud, Frameworks, Libraries, Microservices, Spring

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!

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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/

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Episode 96. Watching Metrics w/Micrometer and Statsd

May 10, 2021 Freddy Guime Frameworks, Libraries, Microservices, Tools

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!

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

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

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

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 87. Ok, it’s time to get Reactive!

November 5, 2019 Freddy Guime Frameworks, Libraries, Microservices, Performance, Spring 01:13:59

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

October 1, 2019 Freddy Guime Cloud, JVM, Microservices, Performance, Tools 0:58:34

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

May 9, 2019 Freddy Guime Frameworks, Microservices, Spring, Testing 0:50:47

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!

March 29, 2019 Freddy Guime Frameworks, Libraries, Microservices, Performance, Spring 0:59:40

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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Episode 66. Ok, how about consuming Rest services

August 16, 2017 Freddy Guime Apache, Microservices, Spring 00:49:36

So we talked about how to create a rest service (using things like Apache CXF and Spring MVC), but sometimes, we actually need to consume these rest services. Luckily within the Java ecosystem there is a lot of way to skin that cat, and in today’s episode we at least cover 4 ways of doing so (including my favorite of the day, Feign). Come take a listen as we dive into Appache HttpComponents, Apache CXF with JaxRS, Spring RestTemplate and Netflix Feign on this fully-loaded episode.

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Episode 58. Hey! You gotta give some REST to those Microservices!

May 1, 2016 Freddy Guime Microservices 01:02:34

So REST is just a webpage that returns JSON right? Well, no! Apparently I’ve been doing REST All wrong! It’s much more rich and complete than what we are led to believe. Come join us with Bob Paulin as we talk the real

 

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Episode 44. Let’s show MicroServices some luv!

August 29, 2014 Freddy Guime Microservices, Spring 0:53:00

So it’s all the rage, and things have been getting smaller and slimmer (think your first cell phone), well, code is no different! Today we cover a trend on what is considered one of the better ways to scale, yet like everything else there are caveats. Bob is actually going to take us for a spin on creating our own MicroService by using Spring Boot!
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