With the new release cadence, programmers can enjoy new features at a much faster rate. Java has been evolving rapidly, but in a responsible manner. While some of the new recent features in Java have been around in other languages for a while there are some coolness for them being introduced in Java. First, programmers who are maintaining large legacy systems can make use of these exciting features, right there in Java as they move forward to adopting newer versions. Second, Java brings its own twist and innovation to how these features are used in the language. Learning these is not only an exciting journey but can also make us more productive when writing Java code.

In this presentation we will take a live coding, example driven approach to look at a few features that have been added to Java in the most recent releases of the language.

Multithreading has been in Java from day one. The multithreading API has gone through significant changes over the years. And yet, we have something major that's threading again. What's the reason for yet another implementation, yet another change? How is that different from what we already have. When will we use the new model and when will we stick to the existing APIs.

Too many questions but we will not take them all in parallel. Instead we will give the questions serious thoughts and get a deeper understanding of the purpose of Project Loom, what problems it solves, and how and when we can benefit from it.

Asynchronous programming is gaining popularity due to the recent architectural changes and influences. Java's CompletableFuture is a different programming model than what we're used to. How do stages work and how can we leverage the APIs to implement non-blocking calls.

This presentation will walk you through the fundamentals of CompletableFuture and how to make use of it.

Apache Kafka is the core of an amazing ecosystem of tools and frameworks that enable us to get more value from our data. Let's take a journey through this wonderful world and see what we can learn.

In this session, we'll have a gentle introduction to Apache Kafka, and then a survey of some of the more popular components in the Kafka ecosystem. We will be looking at the Kafka Producer and Consumer libraries, Kafka Connect, Kafka Streams, the Confluent Schema Registry, and ksqlDB. You will leave loaded with ideas of ways to put Kafka to use in your organization, and a list of resources to help you on your journey.

We live in a world of microservices. Yet, what is a microservice? What defines the boundaries of a microservice? How do we define the relationships between microservices? Thankfully domaindriven design gives us the concepts and practices to better design and decompose our services.

In this session we will consider many of the concepts of DDD — How bounded contexts use Ubiquitous language to model the domain, how context maps can be used to establish the interconnections between services as well aggregates and domains events, all of which will service us well as we go about creating our microservices.

In this session we will go further with DDD, considering aspects like aggregates, domain events, factories and repositories, and consider how DDD can be represented in architecture, be that hexagonal, REST or RPC.

If you need a deeper dive into DDD, then this is the session for you.

The Spring Framework transformed enterprise Java development nearly two decades ago, making it easier to achieve common things such as transactions, security, loose-coupling, and much more Over the years, Spring has continued to rise to every challenge Java developers face, most recently addressing subjects such as reactive programming, cloud computing, and container deployment in Kubernetes. Meanwhile, Spring Boot makes easy work of Spring by employing (among other things) auto-configuration, runtime insight and management, and a practical convention for specifying application properties.

The releases of Spring Framework 6 and Spring Boot 3 bring exciting and useful new capabilities. With features like native compilation, improved observability and tracing, support for HTTP problem details, and declarative HTTP clients, as well as baselining on Java 17 and Jakarta EE 9, Spring is ready for a new generation of application development.

In this workshop, you'll start with a very simple Spring Boot application and learn to grow it into a fully functional application including a web front-end and data persistence. And you'll get hands-on experience with some of the most exciting new features in Spring 6 and Spring Boot 3.

Workshop Requirements

You'll need…

• Java (17 or higher)
• An IDE of your choosing (I'll be using either Spring Tools or IntelliJ, but VSCode or even NetBeans will be fine if you prefer)
• A web browser (who doesn't have one of those?)
• Docker Desktop (https://www.docker.com/products/docker-desktop/)

The Spring Framework transformed enterprise Java development nearly two decades ago, making it easier to achieve common things such as transactions, security, loose-coupling, and much more Over the years, Spring has continued to rise to every challenge Java developers face, most recently addressing subjects such as reactive programming, cloud computing, and container deployment in Kubernetes. Meanwhile, Spring Boot makes easy work of Spring by employing (among other things) auto-configuration, runtime insight and management, and a practical convention for specifying application properties.

The releases of Spring Framework 6 and Spring Boot 3 bring exciting and useful new capabilities. With features like native compilation, improved observability and tracing, support for HTTP problem details, and declarative HTTP clients, as well as baselining on Java 17 and Jakarta EE 9, Spring is ready for a new generation of application development.

In this workshop, you'll start with a very simple Spring Boot application and learn to grow it into a fully functional application including a web front-end and data persistence. And you'll get hands-on experience with some of the most exciting new features in Spring 6 and Spring Boot 3.

Workshop Requirements

You'll need…

• Java (17 or higher)
• An IDE of your choosing (I'll be using either Spring Tools or IntelliJ, but VSCode or even NetBeans will be fine if you prefer)
• A web browser (who doesn't have one of those?)
• Docker Desktop (https://www.docker.com/products/docker-desktop/)

Although Java originally promised write once, run anywhere, it failed to fully deliver on that promise. As developers, we can develop, test, and build our applications into WAR or executable JAR files and then toss them over the wall to a Java application server and Java runtime that we have no control over, giving us zero confidence that the application will behave the same as when we tested it.

Containers fulfill the write-once, run anywhere promise that Java wasn't able to, by packaging the runtime and even the operating system along with our application, giving greater control and confidence that the application will function the same anywhere it is run. Additionally, containers afford several other benefits, including easy scaling, efficiency in terms of resource utilization, and security by isolating containers from their host system and from other containers.

While deploying Spring applications in containers has always been possible, Spring Boot makes it easier to containerize our applications and run them in container architectures such as Kubernetes. Spring Boot's support for containerization includes two options: Creating containers based on buildpacks or using layers as a means of modularizing and reducing the size of our application deployments. Moreover, new components in the Spring ecosystem can make your Spring applications Kubernetes-savvy so that they can take advantage of what a containerized architecture has to offer.

In this example-driven session, we're going to look at how to create and deploy Spring applications as container images and deploy them into a Kubernetes cluster. Along the way, we'll also get to know a few of the most useful tools that a Spring developer can employ in their development workflow when building containerized Spring applications. We'll also see how to apply patterns of Spring Cloud–such as configuration, service discovery, and gateways–using native Kubernetes facilities instead of Spring Cloud components. And we'll look at how components of the Spring ecosystem can work with your Spring applications to enable them to thrive in a Kubernetes cluster.

Workshop Requirements

• Java (17 or higher)
• An IDE of your choosing (I'll be using either Spring Tools or IntelliJ, but VSCode or even NetBeans will be fine if you prefer)
• Docker Desktop (https://www.docker.com/products/docker-desktop/)
• Kind (https://kind.sigs.k8s.io/)
• Kubectl (https://kubernetes.io/docs/reference/kubectl/)
• Skaffold (https://skaffold.dev/)

Test your setup: Make sure that the Docker Desktop is running and then type “kind create cluster”. It should take a minute or so, but then you should be able to type “kubectl config current-context” and see “kind-kind” listed.

Architecture is not a static representation of a system. There are several complexities and risks involved in creating them. One way to mitigate the risk is to evolve the architecture. But, there are risks of evolving as much as there are the risks of not evolving. In this interactive workshop we will explore a set of practices that we can use to mitigate the risks. Then we will dive into discussing some common and popular architectural patterns.

Finally, we will take some example applications and discuss how to evolve architecture to meet the needs of those applications.

Workshop Requirements

Computer with git client installed to access the version control system which will have lab related material.

Architecture is not a static representation of a system. There are several complexities and risks involved in creating them. One way to mitigate the risk is to evolve the architecture. But, there are risks of evolving as much as there are the risks of not evolving. In this interactive workshop we will explore a set of practices that we can use to mitigate the risks. Then we will dive into discussing some common and popular architectural patterns.

Finally, we will take some example applications and discuss how to evolve architecture to meet the needs of those applications.

Workshop Requirements

Computer with git client installed to access the version control system which will have lab related material.

I like to call Reactive Programming as Functional Programming++. There is so much similarity between FP and Rx and yet there are some significant differences. In this hands on workshop we will dive into what Reactive Programming is, learn about the APIs and capabilities, using RxJava as a vehicle.

While the examples will use RxJava, the concepts are general enough that you can readily benefit from the content, like backpressure and error handling, even if you are using other reactive libraries.

I like to call Reactive Programming as Functional Programming++. There is so much similarity between FP and Rx and yet there are some significant differences. In this hands on workshop we will dive into what Reactive Programming is, learn about the APIs and capabilities, using RxJava as a vehicle.

While the examples will use RxJava, the concepts are general enough that you can readily benefit from the content, like backpressure and error handling, even if you are using other reactive libraries.

Many developers around the world have jumped on the Microservices bandwagon. Several organizations, in the past and also in the present, have built around monolithic and also service oriented architectures. What separate, however, Microservices from those efforts at large? How does a Microservices based architecture influence the design of the software applications, what are the key design principles we should keep in mind, and how to leverage design goals like reuse and extensibility?

In this presentation we will revisit the design goals we often focus on in software development and how those evolve in the context of Microservices.

This workshop discusses the features added to Java since Java 8. After a review of the functional additions (streams, lambda expressions, and method references), topics will include Local Variable Type Inference (LVTI), collection factory methods, the Java shell, the new HTTP client, the enhanced switch statement, text blocks, records, pattern matching, and sealed classes.

Features will be demonstrated for Java versions from 8 through 17, using preview versions where available.

• Java Licensing and Release Schedule
• Functional Programming in Java
  • Lambda expressions
  • Method references
  • Streams
  • Optional data type
  • Static and default methods in interfaces
• The java.time Package
• Collection Factory Methods
  • List.of
  • Set.of
  • Map.of
  • Map.ofEntries
• Local Variable Type Inference
• JShell
• HTTP Client
• Enhanced Switch Statement
• Text Blocks
• Records
• Pattern Matching
• Sealed Classes
• Miscellaneous Features
• A bit about JPMS

This workshop discusses the features added to Java since Java 8. After a review of the functional additions (streams, lambda expressions, and method references), topics will include Local Variable Type Inference (LVTI), collection factory methods, the Java shell, the new HTTP client, the enhanced switch statement, text blocks, records, pattern matching, and sealed classes.

Features will be demonstrated for Java versions from 8 through 17, using preview versions where available.

• Java Licensing and Release Schedule
• Functional Programming in Java
  • Lambda expressions
  • Method references
  • Streams
  • Optional data type
  • Static and default methods in interfaces
• The java.time Package
• Collection Factory Methods
  • List.of
  • Set.of
  • Map.of
  • Map.ofEntries
• Local Variable Type Inference
• JShell
• HTTP Client
• Enhanced Switch Statement
• Text Blocks
• Records
• Pattern Matching
• Sealed Classes
• Miscellaneous Features
• A bit about JPMS

The fundamental testing libraries in Java have undergone complete redesigns in the past few years. JUnit 5 redesigns the most well-known tool in all of testing. The most popular mocking library, Mockito, has also been rebuilt. This workshop will introduce the new features, help you use them as intended, and discuss experimental ideas still in the pipeline.

JUnit has been remarkably stable over the years and is one of the most widely adopted frameworks in the Java world. The latest version, JUnit 5, takes JUnit to the next level. Full of new features like conditional test execution, parametric testing, labeling and filtering tests, and more, it brings all the modern thinking on testing into the JUnit world. It also takes advantage of the functional features added to Java since version 8 to create a powerful, new library for testing your code. With the release of Mockito 3, the mocking library now requires functional features from Java 8 and takes advantage of them in interesting ways. This workshop helps you work with both libraries.

The fundamental testing libraries in Java have undergone complete redesigns in the past few years. JUnit 5 redesigns the most well-known tool in all of testing. The most popular mocking library, Mockito, has also been rebuilt. This workshop will introduce the new features, help you use them as intended, and discuss experimental ideas still in the pipeline.

JUnit has been remarkably stable over the years and is one of the most widely adopted frameworks in the Java world. The latest version, JUnit 5, takes JUnit to the next level. Full of new features like conditional test execution, parametric testing, labeling and filtering tests, and more, it brings all the modern thinking on testing into the JUnit world. It also takes advantage of the functional features added to Java since version 8 to create a powerful, new library for testing your code. With the release of Mockito 3, the mocking library now requires functional features from Java 8 and takes advantage of them in interesting ways. This workshop helps you work with both libraries.

Java 8 has been around for a few years and by now we all have immersed into the Streams API and the lambda expressions. But, what does it mean to program in functional style? How can we leverage the functional APIs to solve problems. How do we think in functional style when we have so much experience with imperative style. And flat…what and do they really mean we should honor immutability?

This presentation will answer those questions using practical examples so you can leverage the power of functional Java in your own applications.

Kubernetes has become the de-facto orchestrator for containers and now is the best way to start engaging with portable distributed computing. This workshop is for software application developers who want to understand what Kubernetes is all about and how it works. It can be a seemingly complex ecosystem full of terms, architectures, and misinformation. We will break it down so you have a solid understanding of how it works so you can start writing applications that run on this distributed platform.

We will cover many topics such as:

• Rise of Kubernetes and containers
• Terms and architecture
• What does it give me?
• App Patterns on Kubernetes
• Building, deploying, serving, and observing apps on Kubernetes.
• Hands on labs

Kubernetes has become the de-facto orchestrator for containers and now is the best way to start engaging with portable distributed computing. This workshop is for software application developers who want to understand what Kubernetes is all about and how it works. It can be a seemingly complex ecosystem full of terms, architectures, and misinformation. We will break it down so you have a solid understanding of how it works so you can start writing applications that run on this distributed platform.

We will cover many topics such as:

• Rise of Kubernetes and containers
• Terms and architecture
• What does it give me?
• App Patterns on Kubernetes
• Building, deploying, serving, and observing apps on Kubernetes.
• Hands on labs

Event-driven architectures look great on paper (or a whiteboard), but it's easy to run into snags when trying to implement them.  In this talk, we'll see how tools from the Apache Kafka ecosystem can make this task easier and a lot more fun!

In this session, with Apache Kafka as the backbone, we'll use Micronaut to implement an event-driven architecture that is loosely coupled and easily extensible. Then we'll extend it with a Kafka Streams application without affecting any of the existing applications.

As developers we not only operate in different contexts, but also often have these different contexts interplay as part of our work.
Each of the tools that we use — version control systems like Git (along with collaborative tools like Github/Gitlab), IDE's like Eclipse/IntelliJ, build systems like Gradle, Ci/Cd tooling like Jenkins, IaaC tools like Ansible, the command line — all introduce context.

To be effective developers we need to know when to operate in a certain context, combine or tease apart how these contexts interplay.
Can you improve your release announcements if format your commit messages consistently? You bet!
How should your build tool interact with your version control system?
What does naming your files have to do with how you use your IDE?

This session will take a look at several of these contexts — it will attempt to discern between them, explore when you should separate them and when you attempt to bring them together.

With lots of examples, and lots of quizzes this session will definitely leave you thinking about a few things.

Some say that data is the new oil, and like oil, data needs to be collected, refined, and distributed to gain value from it. For years we've collected data into tankers called databases, and when we had enough, we shipped batches of it to be refined by some process. Then when that was done, we'd make it available to end-users. However, unlike oil, data tends to lose its value the longer we wait to use it. (Data is the new milk?)

So, what if we could hook up a pipeline* to the source of the oil, er… data, and transform it in near real time, on its way to the end-users? That's precisely what we can do with Apache Kafka and Kafka Streams. In this session, we’ll see how we can use Kafka Streams to enrich, aggregate, summarize, and otherwise transform our data while it is flowing through our systems.

• These pipelines are completely harmless to the environment.

Secure, Efficient, Resilient, High-performing, Sustainable, and Cost-effective

Are your applications well-architected? This talk will explore the best practices for operational excellence, Security, Reliability, Performance Efficiency, and cost optimization. Think of systems and services which provide business values. Do you know if all of these services are well-architected? You will learn how to create mechanisms, a repeatable process that allows you to improve over time. We will explore the best practices using real-world examples to make them more concrete and actionable.

Well-Architected helps cloud architects build secure, high-performing, resilient, and efficient infrastructure for various applications and workloads. They are built around six pillars—operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.

Join expert Rohit Bhardwaj to gain the knowledge and skills you need to solve current cloud implementation problems.

What you'll learn — and how you can apply it
By the end of this live, hands-on, online course, you'll understand the following:

– How to create responsive, maintainable, extensible architecture

– How to manage identities for people and machines and understand the significance of role-based, service-based, and attribute-based access

– How to design network topology and protect your network resources

– How to design interactions in a distributed system to prevent failures and improve performance and resiliency

– How to select the best-performing architecture and choose performant storage and databases

– How to manage demand and supply resources

– How to take advantage of user behavior patterns to support your sustainability goals

Topics covered:

Design Principles

– Scaling patterns

– Architecture Design Principles

– Capacity calculations

– Impact of data on design decisions

– Shared Responsibility Model

Reliability

– Resilient Architecture principles

– Herds of complex real-time distributed systems

– Hands-on Exercises / Case Studies

– Blast radius- fault isolation to protect your workload

– Availability patterns

– Recovery Point Objective and Recovery Time Objectives

– Data backup data patterns

– Routing Strategies

– Service quotas and constraints

– Design your workload service architecture

– Failure management in a distributed system

– Monitoring workload resources

– Calculating the response times

– Fallacies of Distributed Systems

– Testing reliability

– Cost Optimization

– Design cost-optimized storage

– Cost-optimized compute

– Data transfer costs

– Manage demand and supply resources

– Hands-on Exercises / Case Studies

Sustainability
– User behavior patterns

– Data access and usage patterns

– Development and deployment processes

– Hands-on Exercises / Case Studies

Performance Efficiency
– Select the best-performing architecture

– Choosing performant storage and databases?

– No-SQL for performance

– Caching strategies

– DOS attacks

– Tradeoffs to improve performance

– Evolving your workload

– Handle skewed data

– CDN networks like Cloudfront to solve the caching requirements for static and Dynamic
contents

– Monitor and set alarms for performance and network issues

– Hands-on Exercises / Case Studies

Operational Excellence
– Principles for Perform Operation Infrastructure as code

– Annotate Documentation - PlayBooks - Part of code

– Create Runbooks - Server down

– Capture failures and analyze them using Events and Real-Time Actions

– KPIs for cloud dashboard

– Incidence response - Root Cause Analysis

– Hands-on Exercises / Case Studies

Security, Privacy, and Compliance
– Manage identities for people and machines

– Identify Access Management

 Role-Based, Service-Based, and Attribute-Based Access

– Securely operate your workload.

– Detect and investigate security events

– Web Application Firewall

– Virtual Private Cloud - design network topology

– Protecting your network resources

– Bastion Hosts

– Data classification

– Protecting data in Transit

– Protecting data at Rest

Hands-on Exercises / Case Studies

Secure, Efficient, Resilient, High-performing, Sustainable, and Cost-effective

Are your applications well-architected? This talk will explore the best practices for operational excellence, Security, Reliability, Performance Efficiency, and cost optimization. Think of systems and services which provide business values. Do you know if all of these services are well-architected? You will learn how to create mechanisms, a repeatable process that allows you to improve over time. We will explore the best practices using real-world examples to make them more concrete and actionable.

Well-Architected helps cloud architects build secure, high-performing, resilient, and efficient infrastructure for various applications and workloads. They are built around six pillars—operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.

Join expert Rohit Bhardwaj to gain the knowledge and skills you need to solve current cloud implementation problems.

What you'll learn — and how you can apply it
By the end of this live, hands-on, online course, you'll understand the following:

– How to create responsive, maintainable, extensible architecture

– How to manage identities for people and machines and understand the significance of role-based, service-based, and attribute-based access

– How to design network topology and protect your network resources

– How to design interactions in a distributed system to prevent failures and improve performance and resiliency

– How to select the best-performing architecture and choose performant storage and databases

– How to manage demand and supply resources

– How to take advantage of user behavior patterns to support your sustainability goals

Topics covered:

Design Principles

– Scaling patterns

– Architecture Design Principles

– Capacity calculations

– Impact of data on design decisions

– Shared Responsibility Model

Reliability

– Resilient Architecture principles

– Herds of complex real-time distributed systems

– Hands-on Exercises / Case Studies

– Blast radius- fault isolation to protect your workload

– Availability patterns

– Recovery Point Objective and Recovery Time Objectives

– Data backup data patterns

– Routing Strategies

– Service quotas and constraints

– Design your workload service architecture

– Failure management in a distributed system

– Monitoring workload resources

– Calculating the response times

– Fallacies of Distributed Systems

– Testing reliability

– Cost Optimization

– Design cost-optimized storage

– Cost-optimized compute

– Data transfer costs

– Manage demand and supply resources

– Hands-on Exercises / Case Studies

Sustainability
– User behavior patterns

– Data access and usage patterns

– Development and deployment processes

– Hands-on Exercises / Case Studies

Performance Efficiency
– Select the best-performing architecture

– Choosing performant storage and databases?

– No-SQL for performance

– Caching strategies

– DOS attacks

– Tradeoffs to improve performance

– Evolving your workload

– Handle skewed data

– CDN networks like Cloudfront to solve the caching requirements for static and Dynamic
contents

– Monitor and set alarms for performance and network issues

– Hands-on Exercises / Case Studies

Operational Excellence
– Principles for Perform Operation Infrastructure as code

– Annotate Documentation - PlayBooks - Part of code

– Create Runbooks - Server down

– Capture failures and analyze them using Events and Real-Time Actions

– KPIs for cloud dashboard

– Incidence response - Root Cause Analysis

– Hands-on Exercises / Case Studies

Security, Privacy, and Compliance
– Manage identities for people and machines

– Identify Access Management

 Role-Based, Service-Based, and Attribute-Based Access

– Securely operate your workload.

– Detect and investigate security events

– Web Application Firewall

– Virtual Private Cloud - design network topology

– Protecting your network resources

– Bastion Hosts

– Data classification

– Protecting data in Transit

– Protecting data at Rest

Hands-on Exercises / Case Studies

You have been using Git for a while. You know how to stage and commit your work, create and delete branches and collaborate with your team members using remotes. But Git often leaves your confused — ever committed to your work to the wrong branch? Even worse, ever accidentally delete a branch that you needed to keep around? And what is God's good name is “Detached HEAD state”? Why tag commits, when we have branches? Is there a better work-flow than just using merges? What's the difference between a merge and a rebase?

The answer to all of these questions, and more, lies in the constitution of a commit, and the directed acyclic graph (DAG) that Git uses to manage your history. This, right here, is the key to understanding everything in Git.

In this hands-on workshop, we will level up your Git skills. We will foray into the underbelly of Git, and reveal the mystery behind the arcane interface that is the Git CLI.

By the end of this workshop, you will have a keen understanding on how best to use Git, as well as know how to dig yourself any prickly situation you might find yourself in. You will become your team's hero(ine). Most importantly, you will walk away with a keen appreciation of how beautiful and elegant Git really is.

You have been using Git for a while. You know how to stage and commit your work, create and delete branches and collaborate with your team members using remotes. But Git often leaves your confused — ever committed to your work to the wrong branch? Even worse, ever accidentally delete a branch that you needed to keep around? And what is God's good name is “Detached HEAD state”? Why tag commits, when we have branches? Is there a better work-flow than just using merges? What's the difference between a merge and a rebase?

The answer to all of these questions, and more, lies in the constitution of a commit, and the directed acyclic graph (DAG) that Git uses to manage your history. This, right here, is the key to understanding everything in Git.

In this hands-on workshop, we will level up your Git skills. We will foray into the underbelly of Git, and reveal the mystery behind the arcane interface that is the Git CLI.

By the end of this workshop, you will have a keen understanding on how best to use Git, as well as know how to dig yourself any prickly situation you might find yourself in. You will become your team's hero(ine). Most importantly, you will walk away with a keen appreciation of how beautiful and elegant Git really is.

See how features of functional programming are implemented in three different JVM-based languages. Examples include how lambda expressions, method references, and streams are handled differently, as well as higher-order functions, closure composition, trampolining, currying, tail recursion, and more.

Kotlin, Groovy, and Java are all object-oriented languages with functional features. It's interesting to see what capabilities they implemented in similar ways and which are unique to that language.

In this example-driven session, we'll build a complete (albeit simple) Spring application, leveraging Spring's support for reactive programming at all levels, from the database to the client.

Traditionally, applications have been built using a blocking, synchronous model. Although comfortable and intuitive for most programmers, this model doesn't scale well. And although there are several new approaches to reactive programming, they don't necessarily fit into the familiar programming model that Spring developers are accustomed to working with.

Spring 5 has introduced a set of new reactive features, enabling non-blocking, asynchronous code that scales well using minimal threads. Moreover, it builds on the same concepts and programming models that Spring developers have used for years.

Kubernetes is highly configurable and extensible. As a software developer, once you understand how something works the next thing you naturally ask is how to extend it to meet your needs. Kubernetes is declarative by its nature which allows you to configure the state of a cluster to meet your needs. However, with all of the Kubernetes resources, it can't do everything. Fortunately, Kubernetes has a build-in architectural feature of extensibility.

In this workshop, we will build on your existing knowledge of containers and Kubernetes and add techniques for extending Kubernetes to help to meet your real world needs.

We will cover many topics extensibility, such as:

• Kubernetes API
• Custom Resource Definitions
• Controllers
• Security and Roles
• Kubectl plugins
• Operator Pattern
• Public Operators
• Choices for developing your own Operator
• Hands on labs

Kubernetes is highly configurable and extensible. As a software developer, once you understand how something works the next thing you naturally ask is how to extend it to meet your needs. Kubernetes is declarative by its nature which allows you to configure the state of a cluster to meet your needs. However, with all of the Kubernetes resources, it can't do everything. Fortunately, Kubernetes has a build-in architectural feature of extensibility.

In this workshop, we will build on your existing knowledge of containers and Kubernetes and add techniques for extending Kubernetes to help to meet your real world needs.

We will cover many topics extensibility, such as:

• Kubernetes API
• Custom Resource Definitions
• Controllers
• Security and Roles
• Kubectl plugins
• Operator Pattern
• Public Operators
• Choices for developing your own Operator
• Hands on labs

Continuous refactoring is critical to succeeding in projects and is an important part of sustainable agile development.

In this workshop, we will start by discussing how to approach refactoring, the essential steps we need to take, and look into how to incrementally improve the internal design of code to make it extensible, maintainable, and cost-effective to change. In addition to discussing the concepts, we will take several code examples from real projects, discuss the code smells and explore the refactoring techniques. Along the way, we will also dive into refactoring short code samples and measure the quality of code before and after refactoring.

Workshop Requirements

Computer with git client to access git repository.
Java 8 or newer
Your favorite IDE

Continuous refactoring is critical to succeeding in projects and is an important part of sustainable agile development.

In this workshop, we will start by discussing how to approach refactoring, the essential steps we need to take, and look into how to incrementally improve the internal design of code to make it extensible, maintainable, and cost-effective to change. In addition to discussing the concepts, we will take several code examples from real projects, discuss the code smells and explore the refactoring techniques. Along the way, we will also dive into refactoring short code samples and measure the quality of code before and after refactoring.

Workshop Requirements

Computer with git client to access git repository.
Java 8 or newer
Your favorite IDE

Gradle has been described as the open source project with the most documentation that doesn't help. Key concepts, like the different steps Gradle takes at initialization time, configuration time, and execution time are not obvious, but must be understood to use Gradle effectively. This talk will cover those topics, as well as how to use source sets, IDE integration, testing in parallel, the build cache, and multi-project builds.

New topics to be included based include writing your own custom tasks, using version constraints, archiving and expanding files and folders, and incremental builds for efficiency.

Recently revised to include dependency conflict resolution, lazy task creation, the TOML file for versioning, and more.

Spring is still the leading open source framework in the Java world for building web apps and web services. This workshop will walk through creating both, with special emphasis on deployable restful web services. In addition to the basic code, the workshop will look at how Spring operates, including the proxy design pattern, interceptors, managing singletons, and more.

=== Spring MVC architecture

• Major concepts
• Processing HTTP requests and responses
• Configuration options
• Test support

=== Spring Boot Features

• Spring MVC autoconfiguration
• HTTP message converters
• JSON serializers
• Serving static content
• Using template engines

=== Special bean types

• Handler mappings
• View resolvers
• Filters and interceptors
• Exception resolvers
• Content negotiation and REST

=== Annotated controllers

• Request mapping
• Handler methods
• Model objects
• Data binding and validation

=== Functional endpoints

• Handler functions
• Router functions and beans
• Deployment options
• Alternative language features

Spring is still the leading open source framework in the Java world for building web apps and web services. This workshop will walk through creating both, with special emphasis on deployable restful web services. In addition to the basic code, the workshop will look at how Spring operates, including the proxy design pattern, interceptors, managing singletons, and more.

=== Spring MVC architecture

• Major concepts
• Processing HTTP requests and responses
• Configuration options
• Test support

=== Spring Boot Features

• Spring MVC autoconfiguration
• HTTP message converters
• JSON serializers
• Serving static content
• Using template engines

=== Special bean types

• Handler mappings
• View resolvers
• Filters and interceptors
• Exception resolvers
• Content negotiation and REST

=== Annotated controllers

• Request mapping
• Handler methods
• Model objects
• Data binding and validation

=== Functional endpoints

• Handler functions
• Router functions and beans
• Deployment options
• Alternative language features

Real-world applications nowadays are designed using both art and science. What is the process of coming up with a solution which works, scales, and is resilient?
What is it challenging to design a system for disruptive technologies?
System design is unstructured, and there are many ways to solve problems.
Gaining experience in new applications and technologies
Best practices change with time. The best way ten years ago can quickly become an anti-pattern.

In this talk, we will explore step by step guide to approach System design using real-world applications.

Come prepared to design a system for following applications interactively.

We will gain more knowledge with collective experience and best practices.

• UBER System Design

• NETFLIX System Design

• INSTAGRAM System Design

• YELP System Design

• TWITTER System Design

• Search Engines

• Auto Suggestions / Recommendations System Design

• Fraud Detection System Design

This talk is ideal for the following roles:

• Architects

• Technical Leads

• Programers

• Integration Architects

• Solution Architects

Real-world applications nowadays are designed using both art and science. What is the process of coming up with a solution which works, scales, and is resilient?
What is it challenging to design a system for disruptive technologies?
System design is unstructured, and there are many ways to solve problems.
Gaining experience in new applications and technologies
Best practices change with time. The best way ten years ago can quickly become an anti-pattern.

In this talk, we will explore step by step guide to approach System design using real-world applications.

Come prepared to design a system for following applications interactively.

We will gain more knowledge with collective experience and best practices.

• UBER System Design

• NETFLIX System Design

• INSTAGRAM System Design

• YELP System Design

• TWITTER System Design

• Search Engines

• Auto Suggestions / Recommendations System Design

• Fraud Detection System Design

This talk is ideal for the following roles:

• Architects

• Technical Leads

• Programers

• Integration Architects

• Solution Architects

This talk is designed to catapult your productivity, enhance your emotional intelligence, and refine your problem-solving skills. This talk is not just a series of presentations; it's a transformative experience tailored for the ambitious software developer and architect seeking to leave a mark in the fast-paced world of technology.

Dive into the essence of developer and architect productivity, where we unravel the secrets to optimizing your workflow and leveraging your skills for maximum impact. Discover the “24 Hours Instant Happiness” principle, a proven strategy to inject a dose of joy into your daily routine, fostering a positive work environment and personal life.

“Maximizing Your Impact” takes you deeper into the realm of influence, equipping you with the tools to excel in your projects and inspire those around you. Through “Effective Communication” and the intriguing “Mirror Technique,” learn how to build rapport, foster collaboration, and lead with empathy, amplifying your charisma in all professional interactions.

As we delve into the core of success, “Emotional Intelligence is 85% of Success” highlights the paramount importance of self-awareness, self-regulation, motivation, empathy, and social skills in achieving your goals. The “6 Phase Meditation Approach” and “Day Launcher” sessions are designed to refine your focus, creativity, and emotional stability, setting a solid foundation for a productive day ahead.

The inclusion of “Empathy Maps” and “IDEO Case Studies” offers a practical lens through which to view user-centric design and innovation. At the same time, the “SCAMPER Technique” provides a creative framework for problem-solving, ensuring you're equipped to tackle challenges with agility and inventiveness.

Elevate your productivity to new heights with “5 Choices for Super Productivity,” a comprehensive guide to prioritizing effectively, embracing extraordinary outcomes, and mastering your technology. Learn the art of “Managing Energy, Not Time,” a paradigm shift that promises to enhance your efficiency and job satisfaction.

As the talk culminates, “The Paradox of Choice” and the latest “Technology Trends to Focus On” prepare you to navigate the complexities of the modern tech landscape with confidence and curiosity.

This masterclass is more than just a talk; it's an invitation to transform how you work, lead, and innovate. Join us to unlock your full potential and reshape your future in software development and architecture. Whether you're looking to boost your productivity, enhance your emotional intelligence, or simply find more joy in your work, this talk is your gateway to a more fulfilling career and life.

Developers and Architects are designers, problem solvers, and innovative, creative artists. Software design is an art that requires both left and right brains to be active so you can understand what customers need. Next, we will explore habits and tools to plan, learn, research, organize, teach, develop, mentor, and architect.

Agenda
Enhancing Productivity and Personal Growth
– Developer and Architect Productivity
Strategies for improving daily workflow and efficiency in software development and architecture.

– 24 Hours Instant Happiness
Quick wins for boosting morale and happiness within the team and personal life.

– Maximizing Your Impact
Techniques to increase your influence and contributions in projects and teams.

– Effective Communication
Importance of clear communication and the Mirror Technique to improve understanding and rapport.

– Increasing Charisma
Tips for becoming more charismatic and influential in professional settings.
Building Emotional Intelligence and Mindfulness

– Emotional Intelligence is 85% of Success
Discussing the critical role of emotional intelligence in achieving professional success.

– 6-Phase Meditation Approach
Introducing a meditation technique to enhance focus, creativity, and emotional stability.

– Day Launcher
A strategy to start your day with intention and focus, setting the tone for productivity and success.

– Empathy Map
Utilizing empathy maps to better understand user needs and enhance team collaboration.

– IDEO Case Studies
Examining case studies from IDEO to illustrate successful applications of empathy in design.

– Understanding a Problem with SCAMPER Technique
Exploring the SCAMPER technique to creatively solve problems and innovate solutions.
Strategies for Super Productivity

– 5 Choices for Super Productivity
Detailed strategies for enhancing productivity by prioritizing important tasks, aiming for extraordinary outcomes, scheduling priorities (“big rocks”), mastering technology use, and maintaining energy levels.

– Managing Energy, Not Time
Shifting focus from time management to energy management to maximize productivity and well-being.

– Increasing Frequency to Do What You Want
Techniques to align daily actions with personal and professional goals more effectively.

– The Paradox of Choice
Understanding how reducing options can lead to increased satisfaction and productivity.

– Technology Trends to Focus On
Highlighting current technology trends that developers and architects should be aware of to stay ahead in their field.

We face problems big and small as part of our job. Problems are stepping stones for success. The question is, how efficiently and creatively are we solving a problem? How accurate is the solution? Can we apply creativity in solving problems? Without critical thinking, we can not solve the problem well.

In this session, we will explore step-by-step approaches to solve a problem.

How to reduce the ambiguity?

How to identify future issues?

How to pick the best solution?

How to identify the root cause?

What tools can we use to solve problems?

What skills do we need to develop?

Explore case studies

Over the last decade, DevOps has emerged as an influential business philosophy and practice, helping businesses drive high quality software to market faster. DevOps focuses on the elimination of bottlenecks that occur when development and operational resources are too divorced from one another. But what about friction in the development and test process? What about the delayed feedback cycles that come from slow builds and test flakiness? How can we reduce friction in areas that are outside of the focus of DevOps? Raju Gandhi, Developer Advocate at Gradle Enterprise, will talk about how the emerging practice of DPE addresses these questions. The presentation will include examples of DPE practices in action from Java projects using the Maven or Gradle build tool.

Attendees will walk away from this presentation with a better understanding of:

• Acceleration technologies for speeding up feedback cycles
• How to use data analytics to quickly determine the root cause of problems and prevent problems from happening in the first place
• The costs of a low productivity environment with wasted time waiting for builds, tests, and CI/CD pipelines
• The importance catching errors earlier, including incorrect signals like flaky tests
• How to make the practice of developer productivity engineering a respected discipline

Good discussions are supposed to diverge from their intended path. Free association is a feature, not a bug, and helps you see new connections between ideas. Without structure, however, it can be difficult to add context to new ideas and understand how they relate to more immediate problems. This talk discusses the technique of mental bookmarks – how to remember where you were when a discussion diverged. In addition to giving you a reputation for having an amazing memory, the skill also helps with personal awareness in general.

To give the technique context, we'll look at the fractal nature of success – the way we tend to see our current environment in relative terms, always comparing ourselves to those slightly more successful and slightly less successful.

Conflict between technical professionals and traditional managers is inevitable, because you want different things. Worse, most employees feel that when conflicts arise, their only options are either to go along with what the manager wants, or leave. Neither option gets you what you want when you want it.

This talk discusses a third option: how to build a relationship over time that makes your boss an ally. The goal is to build a productive relationship that allows you to push back against decisions you don't like, while maintaining a constructive, loyalty-based relationship that satisfies both sides. Topics will include the two messages to keep in mind whenever you interact with the boss, how to use solutions to the iterated Prisoner's Dilemma problem to resolve conflicts, how to structure communications in way most likely to be heard and understood, and more.

Docker compose has been a part of the docker ecosystem since the beginning. It allows us to “stitch” together our services so that we can deploy all our services and related infrastructure using the “one” button. Furthermore, we can now use docker-compose to target Kubernetes, exemplifying the role that docker compose has to play in our day to day interaction with Docker.

If you are new to docker-compose then this is the session for you. Lets take a look at the capabilities of docker-compose, see what it takes to use it for local development and testing, and finally see how we can target Kubernetes so we can mimic our production deployment on our laptops.

In this session, we'll look at various ways that the latest features of Spring and Spring Boot can help with testing the tough-to-test portions of an application.

TBD