Embraced containers yet? If so, that only presents the beginning of the journey. Designing your images to be lean, and your containers configurable requires us to leverage Dockerfiles to their maximum potential. At scale, everything matters—build times, testing, multi-stage builds, conventions around tagging and logging. There is a whole ecosystem of tools around how we can best build our images and containers.

In this session we will learn many a trick on how we can leverage Docker's own tooling as well as third-party tools to ensure that our first steps in the container world are the right ones.

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.

Java was once a language that dragged along and evolved at snails' pace. Thankfully, that's no longer the case. The recently years have seen accelerated development of both language features and JDK improvements. In this presentation we will dive into some of the recent changes of Java that are both fun and powerful to use and discuss where the language is heading in the near future.

The modern features of the language
Where's Java heading?

The last big water-hose change to Java came in Java 9. Since then, thanks to the new release cadence, the language is evolving faster, but with bitesize improvements. With release every six months, we'll soon be seeing Java 15! In this presentation we'll explore the features of Java, both the language changes and the significant JDK changes, starting from Java 9 to the current version.

Language changes
Significant JDK changes

One of the most intriguing classes in the JDK is the Collectors utility class, with a collection of some highly powerful functions that are useful during the reduce operation of streams. The functions that are in this class have so much to offer and yet, due to their complex nature, often are not used as much as they should be. Using well defined live coded examples, we will take up several common programming problems. Discuss them quickly and drive the implementation of these using the Collectors' methods. By the end of this presentation you will know more throughly the power of Collectors and how to apply the methods in there.

The Collectors utility class
Benefiting from Collectors
Learn to program some advanced capabilities of functional style along the way

In this example-driven presentation, we'll start with an empty directory and have an application (simple as it may be) running in a production environment, leveraging Spring and Spring Boot.

Spring Boot's primary purpose is to make Spring easier to work with. It achieves this in three ways:

Automatic configuration : Considering what's on the runtime classpath as well as other factors, Spring Boot can automatically configure components in a Spring application context.
Simplified dependency management : Taking advantage of transitive dependency resolution at build-time, Spring Boot offers several “starter” dependencies, focused on specific characteristics of an application, that transitively bring in libraries to enable development of those characteristics.
Runtime insight : Spring Boot offers insight into the inner workings of a running application via REST endpoints and/or JMX MBeans to better understand what makes a running application tick.
All together, Spring Boot lets you focus on fulfilling your application's requirements without worrying about writing code that satisfies the needs of a framework.

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.

In this session, we'll explore the Spring Boot Actuator, a runtime component of Spring Boot that lets you peer inside a running application and, in some cases, even tweak configuration on the fly. We'll look at many of the Actuator's endpoints, learn how to customize and even create new endpoints, and see how to expose Actuator metrics to several popular instrumentation and monitoring systems.

Spring Boot makes developing applications with Spring easy work by offering auto-configuration for many common application scenarios. And with Spring Boot's starter dependencies, even an application's build file can be easily managed. But Spring Boot's powers don't end when the application is deployed. That's where the real fun begins.

Graal is a VM and an awesome VM at that. Able to run a variety of languages and fast. The execution times can be impressive too. This VM can run anything, JavaScript, Python 3, Ruby, R, JVM-based languages like Java, Scala, Kotlin, and LLVM-based languages such as C and C++.

We are living in truly exciting times. So much interesting technology including the VM space. Graal is a virtual machine and shared memory system for multiple languages. GraalVM can either run standalone or embedded in OpenJDK or node.js. Graal can even embed inside databases such as MySQL or Oracle. In the presentation, we look at this exciting VM, how to start it, how to run polyglot applications, and how to integrate all within the same VM.

In this presentation, we will discuss Kafka Connect. Kafka Connect is an opensource project from Confluent. Kafka Connect provides us a way to move data from a data store as a source and stream or batch that information into Kafka. Kafka Connect also gives us a way to take information from Kafka and send that to another data store, a Sink. Every source and sink can be connected to and from various databases and message queues.

What this presentation will entail:

A brief overview and review of Kafka
The Architecture of Kafka Connect
Where to find connectors
Standalone vs Distributed
Connecting a Source
Creating Single Message Transforms
Connecting a Sink

At the end of this presentation, we will have a live demonstration of watching a data pipeline using data stores.

Java is now on a six-month release schedule, with new features being added all the time. This talk summarizes the features that have been added to Java, including collection factory methods, private methods in interfaces, records, the enhanced switch statement, and more. The goal is to show not only what has been added, but why and where to use them.

Additional topics will include Local Variable Type Inference, the new HTTP client, the pattern matching, and text blocks. This talk will be updated throughout the year as more features are added to new releases.

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

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

JavaScript now has a yearly release cycle. Every release introduces new features that aim to make us (JavaScript developers) more productive, while making our code succinct, expressive, and (potentially) bug-free.

By the end of this workshop you will be intimately familiar with the newer set of JavaScript features, and ready to dive into your next JavaScript project with confidence.

This workshop allows you to explore many of the new features that we use on a daily basis, including

let and const
Default parameters
The new “fat arrow” function syntax
Template strings
Object and array de-structuring and spread
The newly added Map / Set data-structures
The new class syntax as well as static/private members and methods
Promises and async/await
Modules
Optional catch binding
Nullish coalescing operator / Optional chaining operator

This workshop uses tests to verify and validate all of your changes, so you can be confident in your changes as you go about refactoring your code to use modern JavaScript language features.
Each section of the workshop builds on the previous one, allowing you to continuously refactor code and get tons of practice.

If you want to be fully caught up with all of the changes that have landed in JavaScript between 2015 and 2021, this is the workshop you want to attend!

Workshop Requirements

Please follow the instructions in the README.md file of https://github.com/looselytyped/refactoring-to-modern-javascript

NOTE — If you get an error be sure that your Node version is up-to-date. Older versions of Node did not support ES modules natively, and you might run into issues.

If you cannot upgrade Node, consider using a tool like https://github.com/nvm-sh/nvm/blob/master/README.md (Mac/Linux) or https://github.com/coreybutler/nvm-windows (Windows) so you can run multiple version of Node simultaneously.

JavaScript now has a yearly release cycle. Every release introduces new features that aim to make us (JavaScript developers) more productive, while making our code succinct, expressive, and (potentially) bug-free.

By the end of this workshop you will be intimately familiar with the newer set of JavaScript features, and ready to dive into your next JavaScript project with confidence.

This workshop allows you to explore many of the new features that we use on a daily basis, including

let and const
Default parameters
The new “fat arrow” function syntax
Template strings
Object and array de-structuring and spread
The newly added Map / Set data-structures
The new class syntax as well as static/private members and methods
Promises and async/await
Modules
Optional catch binding
Nullish coalescing operator / Optional chaining operator

This workshop uses tests to verify and validate all of your changes, so you can be confident in your changes as you go about refactoring your code to use modern JavaScript language features.
Each section of the workshop builds on the previous one, allowing you to continuously refactor code and get tons of practice.

If you want to be fully caught up with all of the changes that have landed in JavaScript between 2015 and 2021, this is the workshop you want to attend!

Workshop Requirements

Please follow the instructions in the README.md file of https://github.com/looselytyped/refactoring-to-modern-javascript

NOTE — If you get an error be sure that your Node version is up-to-date. Older versions of Node did not support ES modules natively, and you might run into issues.

If you cannot upgrade Node, consider using a tool like https://github.com/nvm-sh/nvm/blob/master/README.md (Mac/Linux) or https://github.com/coreybutler/nvm-windows (Windows) so you can run multiple version of Node simultaneously.

This workshop builds an entire event driven data pipeline with Machine Learning and Kafka. From Kafka where we use producers or Kafka Connect to generate information, we then will Kafka Streams to apply a machine learning model to make business decisions.

This intensive lab will start by integrating sources into our backplane, then train our models, and operationalize our model using Kafka Streams. We will then create result topics when we can read in as a report and display visualizations of our data. The result will also be scalable and fault tolerant.

Workshop Requirements

*Github Account

This workshop builds an entire event driven data pipeline with Machine Learning and Kafka. From Kafka where we use producers or Kafka Connect to generate information, we then will Kafka Streams to apply a machine learning model to make business decisions.

This intensive lab will start by integrating sources into our backplane, then train our models, and operationalize our model using Kafka Streams. We will then create result topics when we can read in as a report and display visualizations of our data. The result will also be scalable and fault tolerant.

Workshop Requirements

*Github Account

We all have seen our share of bad code and some really good code as well. What are some of the common anti patterns that seem to be recurring over and over in code that sucks? By learning about these code smells and avoiding them, we can greatly help make our code better.

Come to this talk to learn about some common code smell and to share your experiences as well.

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.

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.

Refactoring imperative code to functional style is a really good way to learn. What's even better, take a series of unit tests that pass, refactor the imperative code, and verify that the tests still pass after you make the code change. In this workshop we will take on a series of problems, already solved using imperative style, refactor that to functional style, and discuss the approach, techniques, pros, and cons.

Come prepared with your Java IDE. Be ready to pair up with other attendees. Dive into functional thinking.

Refactoring imperative code to functional style is a really good way to learn. What's even better, take a series of unit tests that pass, refactor the imperative code, and verify that the tests still pass after you make the code change. In this workshop we will take on a series of problems, already solved using imperative style, refactor that to functional style, and discuss the approach, techniques, pros, and cons.

Come prepared with your Java IDE. Be ready to pair up with other attendees. Dive into functional thinking.

Programmers don't seem to like Kotlin, they say they love it. In this presentation we'll see why. We'll take a deep dive into the capabilities of Kotlin for everyday programming, look at how the language is not simply an elegant Java but far more and extremely powerful while being fluent at the same time.

From scripts to compiling
Functions
Fluency
Power
Expressiveness
Core capabilities of the language

Creating code is easy, creating good code takes a lot of time, effort, discipline, and commitment. The code we create are truly the manifestations of our designs. Creating a lightweight design can help make the code more extensible and reusable.

In this presentation we will take an example oriented approach to look at some core design principles that can help us create better design and more maintainable code.

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.

Our industry never stops changing, but sometimes those changes are trivia and fluffy. Sometimes they are fundamental and enduring. This series is going to highlight some of the most important trends happening in the hardware, software, data and architecture spaces.

The LLVM Project has been around for over a decade, but is increasingly important as a compiler infrastructure to get reuse and portability, shared optimizations and a faster time to market. Many newer programming languages have chosen it as the basis of their toolchain including Swift, Julia, Rust and more. In this talk, we will talk about the tools, components and layers of LLVM and how it is helping usher in new visions of portability and reuse.

Modern software developers need modern tools to address the changing world around them.

We will cover:

The traditional architecture of compiler systems
The history of the LLVM project
An overview of how it is being used by pretty much everybody
The porcelain and plumbing portions of the toolchain
The role of optimization in compiler systems
Generating cross-compiled and portable code
How LLVM is going to help mediate the impact and effects of the changing hardware landscape

Our industry never stops changing, but sometimes those changes are trivia and fluffy. Sometimes they are fundamental and enduring. This series is going to highlight some of the most important trends happening in the hardware, software, data and architecture spaces.

Rust has quickly become an incredibly popular language with exceptional tooling, documentation and a renowned community that welcomes and helps those who are new. It is intended as a systems programming such as C/C++ but has modern functional capabilities and intentionally-designed safety features.

It is for these reasons that large companies are starting to embrace Rust more than ever.

Modern software developers need to understand modern languages that change the game.

We will cover:

Getting set up with Rust toolchains
The Rust memory model
Common Gotchas
Generics
Functional Programming
Pattern Matching

Our industry never stops changing, but sometimes those changes are trivia and fluffy. Sometimes they are fundamental and enduring. This series is going to highlight some of the most important trends happening in the hardware, software, data and architecture spaces.

While still new to most people, WebAssembly provides a formidable vision of safe, fast, portable code. Through clever choices and well-considered design, the basic vision allows us to target browsers as a platform using a variety of languages other than (but compatible with) Javascript. This technology coupled with advancements in the Web platform are setting up the future of Web-delivered applications to look more like (and likely to replace) desktop applications.

Modern software developers need to understand how just about every aspect of their industry is about to change.

We will cover:

The history and development of the WebAssembly MVP
An overview of what is possible in the browser including jaw-dropping demos
The basics of interacting between JavaScript and WebAssembly modules
A roadmap for the future of WebAssembly in the browser

Our industry never stops changing, but sometimes those changes are trivial and fluffy. Sometimes they are fundamental and enduring. This series is going to highlight some of the most important trends happening in the hardware, software, data and architecture spaces.

Modern software development needs to facilitate faster time to market, easier data integration and unlock new features for our applications, services and architectures. Incumbent to this vision is the need for a serialization format that is less about developer simplicity and more about flexible, evolvable and powerful systems. JSON-LD represents a vision for unifying the worlds of data, APIs and modern software systems. Useful in its own right, it also serves as the basis for much of the work being done in the standards world to engender annotations, activity streams, verifiable claims and more.

The modern software developer needs modern data models.

JSON-LD was developed in response to pushback to earlier standard serialization formats such as RDF/XML. It strikes a balance between developer-friendliness and support for LinkedData models built on standards. We are seeing a growing adoption of it as a format to project data and business value across a wider set of use cases than traditional Web APIs.

In this talk we will discuss the various JSON-LD file formats, tools for producing and consuming it, how it connects to the vision of the Semantic Web, how it can add value to any organization that needs to integrate information across sources with minimal need for consensus and coordination as well as how it is being used in an increasing number of important scenarios across industries.

We will cover:

The RDF data model
Various other standard serialization formats
JSON-LD as a Web developer-friendly serialization
Interacting with existing JSON APIs
The Updated JSON-LD 1.1 Specification
JSON-LD processing activities including: compaction, expansion, flattening and framing

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.

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