In this day-long work workshop, we will walk through a catalog of all the common architectural design patterns. For each design pattern, we will run docker-compose files that demonstrate the strengths and weaknesses of those design patterns. So you have a first-hand, full-on, and highly engaged full-day workshop to give you the knowledge you need to make critical architectural choices.
We will cover:
We have been using JUnit and doing TDD for years, but you can take testing further. In this session, we will discuss some tools you absolutely need for testing your code outside of the regular stack you currently use.
Hey. Remember that time when we used to create jar or war files and we used to just ssh into a box and deploy on a single box? Well, it was simpler but also maybe that wasn't that great of an idea. Time has certainly moved on, and our releases have become very advanced with very technical CI/CD pipelines, docker or debian packages, multi-purpose testing, producing signatures, perform security scans, perform releases, and then when you're done tell the whole world about it. Whew! This presentation introduces JReleaser, a release platform for Java that does a multitude of chores for you.
In this session we will discuss:
Kafka is a “must know.” It is the data backplane of the modern microservice architecture. It's now being used as the first persistence layer of microservices and for most data aggregation jobs. As such, Kafka has become an essential product in the microservice and big data world.
This workshop is about getting started with Kafka. We will discuss what it is. What are the components, we will discuss the CLI tools, and how to program a Producer and Consumer.
Kafka is a “must know.” It is the data backplane of the modern microservice architecture. It's now being used as the first persistence layer of microservices and for most data aggregation jobs. As such, Kafka has become an essential product in the microservice and big data world.
This workshop is about getting started with Kafka. We will discuss what it is. What are the components, we will discuss the CLI tools, and how to program a Producer and Consumer.
How do we move information realtime and connect machine learning models to make decisions on our business data? This presentation goes through machine learning and Kafka tools that would help achieve that goal.
In this presentation, we start with Kafka as our data backplane and how we get information to our pub/sub. As they enter Kafka, how do we sample that data and train our model, then how do we unleash that model on our real-time data? In other words, picture extracting samples for credit card approvals for training, then attaching the model for online processing: The moment we receive an application, we can either approve or disapprove a credit application based on a machine learning model trained on historical data. We will discuss other options as well like Spark, H2O, and more.
Remember in the Matrix, when Neo said “I know Kung Fu”, and then Morpheus said “Show me”, well we will be doing that except with IntelliJ. In this dojo, we will be using all the wonderful keymappings that are available in IntelliJ and we will make you a lean mean coding machine!
In this dojo, you will master the art of:
“Show no weakness, Show no mercy”
Remember in the Matrix, when Neo said “I know Kung Fu”, and then Morpheus said “Show me”, well we will be doing that except with IntelliJ. In this dojo, we will be using all the wonderful keymappings that are available in IntelliJ and we will make you a lean mean coding machine!
In this dojo, you will master the art of:
“Show no weakness, Show no mercy”
If you build your Scala application through Test-Driven Development, you’ll quickly see the advantages of testing before you write production code. This hands-on book shows you how to create tests with ScalaTest and the Specs2—two of the best testing frameworks available—and how to run your tests in the Simple Build Tool (SBT) designed specifically for Scala projects.
By building a sample digital jukebox application, you’ll discover how to isolate your tests from large subsystems and networks with mocking code, and how to use the ScalaCheck library for automated specification-based testing. If you’re familiar with Scala, Ruby, or Python, this book is for you.