Java Pub House Freddy Guime & Bob Paulin

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
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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
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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/
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So is time to celebrate! We got a new box of toys with the new release of Java! This is also a Long-Term-Support release which means that's usually a "good one" to jump into! Switch Expressions! Helpful Nullpointers, Sealed Classes... there is a TON that's new
And we got the best Doctor in town to walk us through all of them. We're of course talking about Stuart Marks! (AKA Dr. Deprecator). We cover most of the important features from 11 to 17 (there's a ton that was left out, so keep following the links to know more!)

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
Pattern Matching for instanceof
https://docs.oracle.com/en/java/javase/16/language/pattern-matching-instanceof-operator.html
Switch Expressions
https://docs.oracle.com/en/java/javase/13/language/switch-expressions.html
Sealed Classes
https://docs.oracle.com/en/java/javase/15/language/sealed-classes-and-interfaces.html
Text Blocks
https://docs.oracle.com/en/java/javase/13/text_blocks/index.html
Debugging Features
Helpful NullPointerExceptions
https://www.baeldung.com/java-14-nullpointerexception
Performance Features
New Garbage Collectors (Shenandoah, ZGC)
https://blogs.oracle.com/javamagazine/post/understanding-the-jdks-new-superfast-garbage-collectors
Unix-Domain Socket Channels
https://openjdk.java.net/jeps/380

Deprecation & Platform evolution
Remove the Nashorn JavaScript Engine (Plug Graal!)
https://openjdk.java.net/jeps/372
Deprecate the Security Manager for Removal and Applets
https://openjdk.java.net/jeps/411
Strongly Encapsulate JDK Internals
https://openjdk.java.net/jeps/403
Warnings for Value-Based Classes
https://openjdk.java.net/jeps/390

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So while Java is the "main" language of the JVM, it is by no means the "only" language. And one of the purely functional programming languages is getting a new facelift!
Scala has been going through a revamp on the syntax and the features, and if you ever run into a scala user you know how passionate they are about their language! (hint: they love it!)
So while we might be working in Java projects most of our time, it is a good time to revisit that developer toolbox and learn when and where to use it. And if anything else, having a dip into a fully functional programming language teaches any budding developer how to see things differently!
So maybe Scala is "not" the language you want to program all your new projects, but understanding its strengs, its thinking (and with Scala 3) and its purpose, it makes it for a very sharp tool to have at the ready when you really need to tackle that Data Sciency / Functional Programming problem.
In addition, we bring one of the biggest names in the Scala Community to walk us through it all @DeanWampler (https://twitter.com/deanwampler) has been working with Scala since the early days and has just published his new O'Reilly book Programming Scala (https://deanwampler.github.io/books/programmingscala.html). So what are you waiting for, add a new tool to your toolbox with Scala 3.0!

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/
Programming Scala (Dean Wampler)
https://deanwampler.github.io/books/programmingscala.html
New In Scala 3
https://docs.scala-lang.org/scala3/new-in-scala3.html
Scala 3 Features
https://docs.scala-lang.org/scala3/book/scala-features.html
A look at inline
https://medium.com/scala-3/scala-3-a-look-at-inline-and-programming-scala-is-now-published-9690ca43c23a
Safer Pattern Matching with Matchable
https://medium.com/scala-3/scala-3-safer-pattern-matching-with-matchable-f0396430ded6
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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
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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So we had a previous episode where we show a party trick with GraalVM, where we saw how to create a Native Image. It was really the "hello world" of Native image creation, so Bob decided that's not good enough!
In this epidose we dive a little deeper on how to actually run your Restful Web service (or other app) natively, going through the exercise of debugging GraalVM builds including adding Maven plugins, finding out how to quelch the different reflection errors and how to deal with resources (and those pesky JNI / so libs).
In all, this is more of actually a practical use of GraalVM, not just a "it can do it", but more, how is it done. So want ludicruos startup speed and performance? then press play and listen!

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/
GraalVM Native Image Options
https://www.graalvm.org/reference-manual/native-image/Options/
Maven GraalVM Native Image Plugin
https://www.graalvm.org/reference-manual/native-image/NativeImageMavenPlugin/

Apache HttpComponents
http://hc.apache.org/
https://www.graalvm.org/docs/getting-started/linux/
GraalVM Resources
https://www.graalvm.org/reference-manual/native-image/Resources/
Build Configuration
https://www.graalvm.org/reference-manual/native-image/BuildConfiguration/
GraalVM Example Code
https://github.com/bobpaulin/javapubhouse-graal-episode/
https://github.com/bobpaulin/opencv-1/tree/feature/add-native-image
GraalVM Native Image InvalidAlgorithmParameterException
https://github.com/oracle/graal/issues/768
 
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