As Java is an object-oriented language that inherently supports the imperative programming style, asynchronicity presents a challenge that can turn the code into nightmare. One way to deal with the complexity of asynchronicity is to introduce reactivity onto the coding level (reactive programming), and/or to handle it on the design and architecture level (reactive systems design).
This talk presents to the audience a few of the major Java-based reactive frameworks and toolkits in the market today, such as RxJava, Spring Reactor, Akka, and Vert,x. It will start by going over the basic tenets of reactive systems, and some examples of the problems that these systems aim to solve. It will discuss the 2 most commonly used Java frameworks for implementing reactive coding - RxJava and Spring Reactor, and will show some code samples. It will then bring the audience to the next level of "reactivity' by introducing 2 reactive frameworks - Akka and Vert,x, which are usually used for implementing reactive microservices. It will draw some comparisons between these 2 frameworks and cite some real-life examples of their usages.
The takeaways for the audience will be an understanding of the key differences between reactive programming versus reactive systems, and the strength and weaknesses of each of the surveyed frameworks.

As Java is an object-oriented language that inherently supports the imperative programming style, asynchronicity presents a challenge that can turn the code into nightmare.  Reactive programming and systems are new ways to handle the complexity.

A Gentle Intro to Reactive Java Programming and Systems

This session is about your career perspective as an engineer, especially when the path may take an &ldquo;unexpected&rdquo; turn from technical lead to first-time engineering manager.
We will explore the differences between managing and leading, review different management styles, and discuss their impact on both the manager and the team member. Finally, we will find out why you do not want to treat everyone equally.
I will share my personal experiences going from being one of the team to actually managing it: the pitfalls of suddenly being responsible for the team, typical problems surfacing, and how to avoid common mistakes. As part of the session, I would also like to share thoughts and considerations about which career path could be the right one for whom, and what the advantages and disadvantages are going one way or the other.
This is not a &ldquo;You get it all from the expert&rdquo;- session, but a session to share experiences and discuss how this fits to your career path.

This session is about your career perspective as an engineer, especially when the path may take an “unexpected” turn from technical lead to first-time engineering manager.

Accidentally Manager – A Survival Guide for First-Time Engineering Managers

For a long time, the scope of a transaction in MongoDB spanned only one document. Some scenarios were more difficult to support with this approach. Since MongoDB 4.0, ACID transactions can include multiple documents. This session explains how exactly it works and what it implies in terms of concurrency, scalability, durability, and performance. I'll discuss some of the underlying mechanics of multi-document transactions to gain a deeper understanding of this feature and how it affects your data design decisions.


ACID transactions are not always necessary in a document-oriented database. But if you do need them, Mongo now supports them! I'll show you how ACID transactions work in Mongo, and what it implies for your data design.

ACID Transactions with MongoDB

Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Designed with the founders of Apache Spark, Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. This session will cover the basics of Azure Databricks, how to start developing applications within Azure Databricks.

Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. This session will cover the basics of Azure Databricks, how to start developing applications within Azure Databricks.

Add Some Spark to Your Data Processing Pipeline

Continuous Delivery (CD) is the ability to get changes of all types including new features, configuration changes, bug fixes and experiments into production, or into the hands of users, safely and quickly in a sustainable way. In order to be agile, we would need to ensure that developer productivity is not hindered and not much time is spent on manual processes to push changes out. Keeping this in mind, the following principles act as pillars for designing and developing the delivery pipeline for large scale Android applications:
* Automated deployment to the Google Play Store * Unified APK * Staged deployment
Automated deployment to the Google Play Store: Automated deployment to Google Play Store is supported by the use of Triple-T Gradle Play publisher plugin. This allows the upload of platform specific versions, removing the manual labor of uploading them one by one.
Unified APK: While Google Play Store allows developers to ship various versions of their APKs to different environments, it also provides mechanisms to promote one APK from one environment to another. For large scale applications, differentiating between alpha, beta and production sets the bandwidth to better rollout in stages.
Staged deployment: Staged deployment is necessary for the application, as it allows for options to halt the rollout as needed. This is extremely important, as rollbacks in apps are much harder to do, especially if there are databases involved.

Building the best consumer email inbox requires a smooth, fast and straight forward deployment strategy that is not only automated but is also easy to build, and can scale to millions of its users.

Agile Delivery of Large Scale Android Applications

I've been told DevOps doesn't apply to IoT or to embedded systems. Customers don't want their devices continuously updating. While that may often be true, we're seeing companies like Tesla turn frequent software updates with smaller batch sizes of features into a competitive advantage. At PacBio, I was curious if these same principles could be applied to our DNA sequencers. Over the course of nine years and three hardware platforms, we increased our cadence by a factor of 20x and significantly reduced our time to resolve issues. We learned a ton along the way with some unexpected wins, which I'd like to share in this talk.

Can DevOps apply to IoT devices? Over the course of 9 years and 3 hardware platforms, we tried just that and increased our cadence by a factor of 20x. We learned a ton along the way with some unexpected wins, which I'd like to share in this talk.

Agile, DevOps, and Hardware

Demystify the world of Artifical Intelligence and Machine Learning in a simple and fun way so that everyone can understand and use Machine learning. Including a Hands-on demo using Machine Learning.

SQL Server 2016 High Availability Unleashed (includes Content Update Program)

Exam Ref 70-775 Perform Data Engineering on Microsoft Azure HDInsight

AI and ML for Everyone

Emotional intelligence is the ability to understand and manage your own emotions, and those of the people around you. Managers have a higher impact on their team, especially their emotional state, and therefore a higher responsibility to lead by example. In this section we will present key characteristics that allow true leadership to emerge. We will also describe some practices that you can immediately use to increase your emotional intelligence and inspire higher quality results.

In this section we will present key characteristics that allow emotionally intelligent leadership to emerge. We will also describe some practices that you can immediately use to increase your emotional intelligence.

Applied Wisdom for the Emotionally Intelligent Manager

This presentation will offer a comprehensive coverage of the topic of artificial intelligence (AI). What are the impacts, potentials and challenges of AI? AI is profoundly affecting every thing we do, how we think, how we behave. It will be a critical understanding and kill for every software professionals and computer science students.
Elon Musk said recently "the difference between human intellect and AI is comparable to the difference between chimpanzees and humans". Is it really true? How can humans do better in comprehension of AI than chimpanzee's intellectual capacity?
This presentation will also demonstrate some AI and machine learning hand-on applications using the Python language.

This presentation offers deep look into the field of artificial intelligence, its potentials and challenges. This presentation will also demonstrate some AI and machine learning hand-on applications using the Python language.


Artificial Intelligence: Potentials and Challenges

If data is the new oil, then Big Data is the new snake oil. 
For over a decade, Big Data has managed to delude far too many smart, honest, hard-working data practitioners, with nothing but the best intentions.
This session is a plea for your common sense and decency. 
Together, we will use history, facts, authority, and logic to expose it for what it really is. 
Layer by layer, we will peel off the Confusion, Illusion, Deception, Distraction and the Regression that is "Big Data".
You will realize just how much progress and value Big Data has bestowed on us over the past decade.
But more importantly, we will see what we can and must do to make data practice, and consequently the world, a better place. 
Brace yourself for a thought-provoking session, filled with "Aha" moments. 
I promise that after this session, you will never look at big data the same way as you did before you stepped into the room.

Join me for this enlightening journey to realize what Big Data is really all about.
Others have said: “Though Provoking”, “An eye opener”, “Realizations galore”, “It makes so much sense now”, "Wow. the best session by far in this conference."

Big Data, Big Dupe: A Little Session about a Big Bunch of Nonsense

For some software developers, especially the ones who are just getting started into programming, the mere thought of opening a terminal window makes their faces cringe. But those who understand CLI would argue that it&rsquo;s one the most powerful tools at their disposal.
In this session, we will talk about creating CLI with a fraction of efforts that of building other User Interfaces and, yet, keeping it a humane interface that is a joy to work with.
I will walk you through the process of creating a sample extensible CLI using oclif (The Open CLI Framework) and talk about other NodeJS libraries to use to make the CLI user-friendly. Also, I will talk about how we are creating an amazing CLI tool for PayPal developers.
So, if you are interested in building a high performant, extensible, and engaging CLI or just want to hack a tool for personal workflows, this talk is for you.

Quickly create amazing CLI using oclif and other NodeJS libraries.

Building Amazing Extensible CLI with oclif

Practical advice and considerations for how to identify, build, and grow a distributed team.  The talk will cover issues like considerations for identifying a location, recruiting and building a team, effective and efficient communication channels, and ensuring remote offices are set up for success.

Building Distributed Teams

I this session we will talk about the architectural patterns to make your services and distributed systems more resilient and reliable. We will discuss some of the challenges of the distributed systems, how to handle failures and error conditions, how to make your services highly available, highly scalable and improve latency. Concepts you learn in this talk are generally applicable to different platforms and frameworks used to build services and distributed systems.

Talk about architectural patterns to make your services and distributed systems more resilient and reliable

Building Reliable and Resilient Services

Jossie Haines, Platform Engineering Director at Tile, will explain how we built a secure location finding network that supports getting 1.5 billion unique location updates per day.   This is the world’s largest lost and found community spanning over 230 countries and territories and locating more than 5 million unique items every day. She will cover the whole stack from building a secure Bluetooth transport layer to developing a scalable backend service on AWS.


Jossie Haines, Platform Engineering Director at Tile, will explain how we built a secure location finding network that supports getting 1.5 billion unique location updates per day.   

Building the World's Largest Bluetooth Finding Network

It is easy to write a trivial application in C#. For a non-trivial application, C# is full of unexpected gotchas. It really helps to know a few simple best practices so you can avoid the gotchas and write reliable, scalable code from the beginning. This talk covers the essential C# best practices you need: resource management, properties, error handling, and exception-safe code. 

This talk covers the essential C# best practices you need: memory management, properties, error handling, and exception-safe code. 

C# Real World Best Practices

Why writing Clean Code makes us more efficient? Over the lifetime of a product, maintaining the product is actually one - if not the most - expensive area(s) of the overall product costs.
We will dive into why decoupling is so crucial and what design patterns, best practices, and technologies are out there to do it right and want can go wrong.
We start by reviewing the basics of Inversion of Control (IOC) and Dependency Injection (DI) and different ways of achieving decoupling on class-level, using and exploring both: Best Practices, Design and Anti Patterns.
Then we will move into Microservices, how these push decoupling to the next level and how to combine the different patterns for an extensible, supportable and maintainable code base.
This presentation requires knowledge and understanding of basics like DRY, SoC, SRP, SOLID etc. which are building the base for decoupled architecture. However, we will start at the basics of DI and will work towards intermediate scenarios for DI and Microservices depending on the participating group.
This presentation is based on C#. However, the demonstrated patterns and practice can be applied to every other programming language too.

We will dive into why decoupling is so crucial and what design patterns. We start by reviewing the basics of Inversion of Control (IOC) and Dependency Injection (DI) and will move into Micro Services reviewing different ways of achieving decoupling.

Clean Code – The Art of Decoupling

Using your existing web technology skills, learn how to use Tizen Studio to develop a wearable web app, and bring your apps to millions of global users.
 
During the session we will cover the basics of wearable apps development, how to use Tizen Studio to create web apps that use multiple biometric sensors and how to test them.

Using your existing web technology skills, learn how to use Tizen Studio to develop a wearable web app, and bring your apps to millions of global users.

Create Your First Wearable Application with Tizen

Five techniques that can make our teamwork and our teams dramatically more effective. The nuances I almost never see teams doing (and that have made my teams much more effective) that I coach all my teams in.
I'm an engineering-team and engineering-org fire-jumper. This is stuff that works for me.
I've not only seen these techniques work with my teams, but... I'm also the co-author of the Study of Product Team Performance, in which correlations from the thousands of respondents on product teams all over the world have validated the universality of the nuances of two of the techniques I'll be sharing.
The first four techniques are pretty easy and pretty simple. I've been teaching and coaching managers and teams in all five for 15 years. It's time they get wider visibility, and a wider swath of teams and managers get a shot at leveraging them.

Five techniques that can make our teamwork and our teams dramatically more effective. The nuances I almost never see teams doing (and that have made my teams much more effective) that I coach all my teams in.

Programming the 65816: Including the 6502, 65C02, and 65802

Managing the Unmanageable: Rules, Tools, and Insights for Managing Software People and Teams

Critical Agile Practices, Nuanced Techniques

The microservice architecture is becoming increasing important. But what is it exactly? Why should you care about microservices? And, what do you need to do to ensure that your organization uses the microservice architecture successfully?
In this talk, I&rsquo;ll answer these and other questions using shapes as visual metaphors. You will learn about the motivations for the microservice architecture and why simply adopting microservices is insufficient. I describe essential characteristics of microservices You will learn how a successful microservice architecture consist of loosely coupled services with stable APIs that communicate asynchronous I cover strategies for effectively testing microservices.

Learn microservice architecture essentials through visual metaphors.

Microservices Patterns: With examples in Java

POJOs in Action: Developing Enterprise Applications with Lightweight Frameworks

Cubes, Hexagons and More: Understanding the Microservices Through Shapes

Have you ever thought of automating end to end workflow for setting up a new data center by single click? Have you ever thought of implementing automations for infrastructure setups which generally takes months of effort to hours with single click? Some of the examples of such setups are:
1. Setting up DC network in reliable and reproducible manner. 2. Automatic OS provisioning on blade servers. 3. Secure login mechanism for human and service accounts. 4. Configuring the DC components using idempotent automation workflows. 5. Setting up highly available internal private cloud / container orchestration platform like Kubernetes on auto provisioned infra. 6. A very complex Inventory state life management workflow.
To accomplish reliable, reproducible and idempotent automation for infrastructure setup, NVIDIA DevOps team has been working on implementing *DC Automation Manager*, a framework developed using CICD tools ecosystem.
In this presentation we will talk about design and automation used at NVIDIA GPU Cloud to setup new DC of 1000s of GPU and CPU blade servers from scratch using Jenkins and GitOps for,
1. Streamlining inventory life cycle 2. L2/L3 network setups 3. Secret management to secure human or automated interaction with all the data center services. 4. Node provisioning and OS configuration with dynamic inventory capabilities 5. Setting up container orchestration platforms on BM/Cloud 6. Bridging the gap between application engineering and operation engineering.

Bringing CICD principles and practices into DC operations helps to efficiently manage DC resources i.e. from network devices setup to container platform to application deployment. This also helps in scaling DC to thousands of servers reliably.

Data Center automation at NVIDIA using Pipeline as Code

Groundbreaking theory, big data, and compute power — with this trifecta, the extraordinary advent of deep learning seems almost inevitable. It propels computer vision and real-time operational and industrial applications to new heights. Inevitably, our reliance on deep learning increases as we ride this accelerating wave of progress. And yet, this very momentum could be propelling us to a dangerous place. Deep learning's deployment exposes new and particular vulnerabilities. In this session, Luba Gloukhova will survey the various forms of adversarial attacks against neural networks that have emerged, and the state of the art methods for defense. 

In this session, Luba Gloukhova will survey the various forms of adversarial attacks against neural networks that have emerged, and the state of the art methods for defense. 

Deep Learning's Most Dangerous Vulnerability: Adversarial Attacks

Powering your application with deep learning is no walk in the park but is certainly attainable with some tricks and good practice. Serving a deep learning model on a production system demands the model to be stable, reproducible, capable of isolation and to behave as a stand-alone package. One possible solution to this is a containerized microservice. Ideally, serving deep learning microservices should be quick and efficient, without having to dive deep into the underlying algorithms and their implementation. Too good to be true? Not anymore! Together, we will demystify the process of developing, training, and deploying deep learning models as a web microservice using Model Asset Exchange, an open source framework developed in Python at the IBM Center for Open Source Data and AI Technologies (CODAIT). We will kick off with an overview of how deep learning models are best published as Docker Images on DockerHub and are best prepared for deployment in local or cloud environments using Kubernetes or Docker. We highlight the following benefits of such an approach:
* Standardized REST API implementation and application-friendly output format (JSON)
* Abstracting out the complex pre and post-processing portions of the model inputs and outputs. We will walk you through some super cool applications. All these are open source and we conclude by opening the gates for you to be a part of this amazing initiative!


Seamlessly serve state-of-the-art deep learning models as web microservices in minutes and create an application around it without having prior deep learning experience.

Deploy deep learning models as a web microservice in minutes

Flutter is an open-source mobile application platform developed by Google. It was released in May 2017 for the very first time. Latest stable release version 1.5.4 was released on May 7, 2019. Other cross-platform solutions are React-Native, Xamarin and Web. However, Flutter boasts the maximum code-reuse in comparison with it's competitors. Flutter apps are written in Dart programming language. In this talk, we'll see how a cross-platform landing page can be designed and implemented using Flutter for Android, iOS and Web. 
 
Note: This talk is going to be based on my this 3 part article: https://ptyagicodecamp.github.io/designing-cross-platform-flutter-prototype-for-landing-page.html, about designing and implementing a landing page for Web and Native (Android and iOS) platforms. Making it responsive to fit on the various screen form factors, and finally theming and making use of custom fonts.

Flutter is an open-source mobile application platform developed by Google. In this talk, we'll see how a cross-platform landing page can be designed and implemented using Flutter for Android, iOS and Web.

Getting Started for Internet of Things with Launch Pad and ESP8266 (River Publishers Series in Information Science and Technology)

Developing Cross-platform applications using Flutter (Web, Android and iOS)

You don't hear much about mainframes these days, but chances are very high that you interacted with one today without even knowing it. From banks to airlines, they still dominate industries where data integrity, security, and uptime are essential. The modern mainframe boasts the fastest off-the-shelf processors in the world, offer terabytes of memory, support the most secure HSM (Hardware Security Module) to date, and are even tested to survive earthquakes. Plus, contrary to popular belief, it's not all green on black terminals and cryptic commands for batch processing. This talk will explore some of the modern, open source, tooling under active development by the Open Mainframe Project, including APIs, shells, graphical interfaces, and automation tooling for z/OS. We'll also explore how familiar workloads are supported through native Linux support on the LinuxONE series of Linux-only mainframes.
Whether you're developing in COBOL, Java, Node.js, or Go, the modern mainframe has you covered.

This talk will explore some of the modern, open source tools from the Open Mainframe Project, including APIs, shells, GUIs, and automation tooling for z/OS. It will also discuss the native Linux support on the IBM LinuxONE series of mainframes.

Common OpenStack Deployments: Real-World Examples for Systems Administrators and Engineers

The Official Ubuntu Book (9th Edition)

Developing for the Modern Mainframe

DonkeyCar, https://www.donkeycar.com/, is a free, open source project that provides instructions and source code to build, program, train and even race your own small-scale autonomous car. At its&rsquo; core, DonkeyCar is a high level self driving library written in Python. It was developed with a focus on enabling fast experimentation and easy contribution. It is has been called the Hello World of autonomous vehicles. This session will show you how easy and inexpensive it is to get started with autonomous vehicles. The session will cover:
- The anatomy of an autonomous scale car
- Behavioral Cloning or how to train a neural network to drive like you
- What you need to get started
- How to get help if you get stuck
- How to find others for learning and competing

DonkeyCar, https://www.donkeycar.com/, is a free, open source framework for self-driving scale cars.  Come and learn how build, program, train and race a self-driving scale car.

DonkeyCar® - Build and Program an Autonomous Vehicle

We live in the era of big data, and modern tools have been developed to help analyze this vast amount of data as well as using data to discover new, never-before-seen patterns. Developers are using analysis tools to query data, but also machine learning to discern patterns that weren't possible before. With scikit-learn, pandas, PyTorch, and TensorFlow, the possibilities are endless. However, not everyone has the AI/ML nor math background to jump straight into tools like those. In this session, attendees will learn how to *use* machine learning through a set of APIs provided in the Google Cloud Platform.
By being a user of machine learning, developers will learn the terminology and the steps necessary to one day be able to fully build &amp; train their own machine learning models then validate &amp; deploy them to make predictions on new data. This session provides an easier on-ramp to working with machine learning by taking advantage of Google's pre-trained models accessible via API.
The specific APIs covered include the Google Cloud... * Natural Language API * Vision API * Speech-to-Text API * Text-to-Speech API * Video Intelligence API * BigQuery API
Each API will be demonstrated in Python for brevity. (Other languages are supported of course.) Finally, the AutoML feature will be discussed, allowing developers to customize and further train Google's APIs so that they're more appropriate for your data and being able to do so without a sophisticated machine learning background.

Developers today are creating insightful tools like never before with machine learning. However, not everyone has the background to jump straight into scikit-learn or TensorFlow. In this session, learn how to access Google's pretrained models by API.

Easy Path to Machine Learning

Everyone understands the importance of encrypting sensitive data. It turns out that is easier said than done in the case of at-scale business data.
Existing approaches rely on identifying sensitive data and selectively encrypting it, which can be problematic given the vast amounts of data in today&rsquo;s enterprises.
Our solution is to encrypt ALL data everywhere &ndash; at rest and in flight &ndash; thus eliminating the guess work of selecting data. This solution is unique to IBM Z and IBM LinuxONE.
In this session we will discuss:
&bull; The challenges of encrypting data at scale &bull; Why just 4% of records breached since 2013 were encrypted &bull; A high-level view of the hardware behind our encryption solution &bull; On-prem implementations &bull; Using this hardware solution in IBM Cloud

Encrypting enterprise data is easier said than done.  Learn about the technology that makes it possible to easily encrypt everything without any application changes.

Encrypt This!  How to Encrypt Enterprise Data at Scale

Already an Engineering Manager (Sr Manager, Dir, VP) and wanting to get into a better company? Or are you a senior engineer wanting to jump ship to management? Or are you early in your career and wondering if Management is for you?
This session will provide a lot of insights into how to switch into and stay in Management, across companies. What does the interview process look like? Do you still have to code? What about Systems Design? What is the evaluation like? Do you need to prepare for leadership questions? Are they even possible to prepare for? What do top companies look for, that others don't?

If you are an Engineering Manager or you're just curious about mgmt, then this session is for you. Interview Kickstart will go in-depth into what interviewers, especially at top companies, look for in an EM interview. And how to prepare for those! 

Engineering Management Interviews

Once a complex monolith, today LendingClub is powered by hundreds of micro-services that are built, tested, shipped multiple times a day with speed and quality leveraging CI/CD and DevOps principles. In this session, Aravind Kalavagattu will describe the problems Lending Club set out to solve in this journey, how they leveraged Jenkins 2.0 and pipeline libraries to solve and scale to bring efficiency across all their engineering teams across the company. 
 
I plan to discuss the fundamentals of Jenkins based pipelines, what the pipeline libraries provide, examples of writing DSLs for easy customization/extensibility/configuration management across hundreds of services. Along with this, I will cover the challenges in migrating pipelines to this approach, how we can scale this transformation and tools that can help you do it easily
 
It all starts even before the code is merged! I will be presenting an end-to-end flow of pre-merge pipeline, pull request validations, testing pyramid and automation, deployment automation. Best practices and learnings doing this across hundreds of services and multiple teams will be shared and our key take aways how your teams can leverage this with above mentioned tools and services.
 
My previous related talks:
From monolith to micro-services: LendingClub's journey toward adopting CI/CD and DevOps https://www.cloudbees.com/cloudbees-days#los-angeles 
From Commit to Production: How Yahoo Mail does CICD https://www.youtube.com/watch?v=WQdtbv_ETpM

I plan to discuss the fundamentals of CICD, Jenkins pipeline libraries, examples for easy customization/extensibility across hundreds of services. Best practices and learnings doing this across hundreds of services and multiple teams will be shared

Engineering scalable CICD pipelines using Jenkins and Pipeline Libraries

In this talk we will learn about javascript modules, what problems they solve, history and evolution of modules. We will then look at the role of module bundlers in a typical modern web application.
 
If you are have heard of terms like Modules, CommonJS, AMD, UMD, ESM, Webpack, Browserify and would like to learn more this talk is for you

JS modules evolution, bundling, and front end development

Evolution of Javascript Modules

* Need for near-duplicate image detection in various use cases in eCommerce * Fundamental research on exact search in Hamming space using Elasticsearch * How we implement near-duplicate image detection using pHash * Comparison with FAISS, which is the best-in-class KNN search * Implementation notes on how we scale the solution

Empowering Elasticsearch with Exact and Fast r-Neighbor Search in Hamming Space

Fast Exact Neighbor Search in Hamming Space Using Elasticsearch

The General Data Protection Regulation (GDPR) has raised the bar on privacy in Europe, and new privacy laws are coming into effect around the world. Protecting privacy is a continuous process and affects small and large companies alike. The process to manage privacy around the world impacts software development as well as business processes. This talk will provide a high-level overview of managing privacy in global products.

The process to manage privacy around the world impacts software development as well as business processes. This talk will provide a high-level overview of managing privacy in global products.

GDPR and Privacy Around the World

Go is an open-source programming language that makes it easy to build simple, reliable, and efficient software.
 
Go is an amazing choice for a language as it was developed by some of the same individuals who created the C programming language, Unix, and UTF-8 - some of the most influential contributions to computer science. Robert Griesemer, Rob Pike, and Ken Thompson created Go to be a modern language that easily uses multiple cores, easily implements concurrency, easily works in distributed environments, and easily allows the programmer to write programs - it has a very lean and user-friendly syntax.
 
Go was created by luminaries in computer science at one of the best, if not the very best, software engineering firm to have ever existed - Google.
 
The credentials of Go are unsurpassed.
 
In my opinion, Go is the best programming language that you can be learning today. 
 
Come learn about the greatest programming language ever created. You will leave with resources and code samples to start making all of your software and apps really go.

Go is a modern language that easily uses multiple cores, easily implements concurrency, easily works in distributed environments, and easily allows the programmer to write programs - build applications that scale and go fast.

Getting Started with The Go Programming Language ( golang )

Communication is a difficult task that requires balancing between succinctness and clarity, asking the right questions, and receiving timely and useful information! Communication between computers is no different. Here we have to balance several conflicting requirements: avoiding over-fetching while reducing round trips, avoiding under-fetching while keeping payload size to a minimum, and doing this all the while ensuring data security. We faced many of these issues as we build our product, so we decided to give GraphQL a try.
 
GraphQL, a relatively new data query and manipulation language, promises to simplify client-server communication. Used correctly, it can provide a clean and performant way to communicate. While GraphQL is a statically-typed query language, using it from a statically-typed language such as Scala presents interesting challenges and opportunities.
 
This talk will explore what we learned from that adoption. We will focus on both server-side and client-side aspects of implementing GraphQL.

GraphQL promises to simplify client-server communication. Used correctly, it can provide a clean and performant way to communicate. This talk will explore what we learned from that adoption focusing on both server-side and client-side aspects.

AspectJ in Action: Enterprise AOP with Spring Applications

GraphQL with Scala

Graphs are important to master to crack technical interviews today. Unfortunately many colleges in the world don't get to teach Graphs properly, because of which a lot of candidates struggle to understand this topic well.
In this session, Interview Kickstart coaches will present a unified theory of understanding most Graph problems. That will make it easier for you to tackle unseen problems in Graphs.
We'll present a perspective where BFS, DFS and other traversing techniques can be viewed as mere factions of a unified approach!

If Graphs are a bit challenging for you, then you don't want to miss this session. Interview Kickstart coaches will make Graphs much easier for you than before, so that you can confidently start solving Graphs' problems! 

Graphs for Technical Interviews

In this hands-on session we'll discuss some of the main websites vulnerabilities such as XSS, indirect object access, broken authentication and session management, sql injection and security misconfiguration. 
 
The discussion will be somewhat limited as the majority of this session will be dedicated to hacking: you'll get an IP of a machine on AWS and after you'll register and login you'll get tasks: each task will be a CTF (capture the flag) and in order to find the flag you'll need to expose and use a different vulnerability in order to hack the site. In my experience this is one of the best ways to learn cybersecurity, hope you'll enjoy it as much as I do!

This is a hands-on session, you'll need to bring a computer with internet access in order to participate. We'll do CTFs and in order to find the flags you'll need to expose and use a different vulnerabilities to hack a fake-website.

Hands On Cybersecurity

Learning how people (not machines) learn is not something we're taught in school, or what we were told is not backed by scientific evidence. Understanding how we learn, from a scientific point of view, helps us better communicate information to others so it will be understood and remembered.
We'll start with laying down an evidence-based foundation by looking at how we take in and process information in working memory and, if we're lucky, gets stored in long-term memory. Getting the information into long-term memory is a struggle, so we'll see ways to make that process easier by having images and words work together instead of fighting each other.
We'll then learn why forgetting is a good thing; mixing things up instead of cramming makes improves remembering; and attack some of the myths of learning. We'll find out there's the good way of making brains work hard during learning as well as bad ways, and see how learning is similar to isolating muscles when strength training.
You'll see examples along the way that will demonstrate applying this research and you'll come away with solid tips to confidently improve technical documentation, training manuals, video courses, and presentation slides.

Understanding how humans learn helps us inform, teach, and communicate better. Find out how to apply research to create better docs, videos, and presentations in this example-filled session.

How Humans Learn and Why It Matters

Slack was originally built to be the collaboration hub for the work within your company. As the network of companies using Slack for internal work grew, we saw the value of allowing different companies to collaborate together in one channel.
 
This talk will cover how our team went about making architectural decisions and worked to build this critical feature

Building Shared Channels on slack needed a great deal of architectural changes and disrupted some of our fundamental DB models. I hope to cover some of those details in this talk.

How Slack Built Shared Channels

In 2015, Money Magazine identified Software Architect as its #1 Best Job to hold in the U.S. If you have ever wondered what a Software Architect actually “does” for a living, this is the presentation for you.
 
Software Architects deeply “think about”, discuss and develop solutions for back office enterprise components, primarily using the Object Oriented paradigm, in which the basic abstractions defined in the problem description are identified, fleshed out and manipulated. 
 
On truly large software projects, it is only after both the system analysis is completed and the design fleshed out and documented by the software architect, that the programmers get called in to implement the resulting solution. This is EXACTLY the relationship between the architect and the craftsmen (plumbers, electricians and carpenters) during the building of a house. By necessity, they each think about the same house in very different ways. 
 
Attendees (with even a basic programming background) will learn how to think about large software projects "the other way".

Software Architects design solutions for complex back office enterprise applications by identifying the basic abstractions.  Attendees will use their techniques to interactively develop the high level design for such an application.

How to "think" (and design) like a Software Architect

Over 40 and struggling to find a programming job? Ageism is real in software engineering.
In this session, Interview Kickstart coaches will discuss strategies and tips to deal with ageism during your job search. Finding the right companies, building the right skillset and approaching it with the right mindset are all crucial to success. Strategy too, is critical e.g. while we want everyone to wear their age with pride, sometimes it can also be better to hide it.
In this session, you will also hear experiences of some senior engineers who found stellar roles by taking the ageism bull by its horns. And sometimes avoiding the bullfight altogether.

If you are nearing 40 or over 40, it may not be as easy to find your next role. This session will help you think through various options and plan ahead.

How to Defy Ageism in Software Engineering

Without Full-stack development, AI is an engine that runs to serve itself. But with Full-stack development, AI can serve it's core purpose. Hence, it is necessary that we as developers know how to incorporate AI in Full-stack development so that AI can shine where it needs to. In this talk, I will show how to develop Full-stack Application along with how we can incorporate AI technologies so that your users can see the difference of your Full-stack App, with and without AI.

How to develop a Full-stack Application with Artificial Intelligence.

How to Fullstack AI

Businesses care about delivering business values to their customers, open and community-driven APIs, and runtime portability.  This session is to show developers how to grow their career through Open Source. Through the "open" contribution, there are options for you to build your credibility to correspond to business needs. This session will show you the future of the Open Source and job marketing growth in the year of 2020.

This session is to show developers how to grow their career through Open Source. Through the "open" contribution, there are options for you to build your credibility to correspond to business needs. 

How to Grow Your Career Through Open Source

Open sourcing a project can have many benefits, both for companies and for individuals. But it takes more than just making a GitHub repository public, and adding an open source license to it, to become successful with the project.
 
In this talk, Carsten Jacobsen, Open Source Developer Advocate at Uber, talks about how to select which projects to open source, how to prepare projects for open sourcing, licensing and how to measure the success of the project.

Both individuals and companies can benefit greatly from open sourcing projects. In this talk, Carsten Jacobsen, Open Source Developer Advocate at Uber, talks about how to successfully open source a project.

How to successfully Open Source a project

Embedded to Full-Stack? Backend to ML? Fronend to Backend? Testing to Development? Data Warehousing to Data Engineering?
Stuck in a domain that doesn't pay well? Stuck in a domain that's outdated? Stuck in a boring technology that is no longer the hot thing? Stuck in a peripheral role and wanting to go to the core teams?
Expert at stuff that very few people care about?
Come to the discussion about how you can get out of and into a newer domain. Learn tips and tricks from engineers who have made the switch and are enjoying well-paying careers at top companies, despite starting in domains that weren't as sexy.

There is no need to be stuck in a certain technical domain if you don't like it. Learn tips and tricks from engineers who have switched their domains.

How to Switch Your Technical Domain

In the last few years Blockchain has generated more hype than most IT technologies. But what is it actually good for? Where are the successful apps? It turns out that Blockchain already is wildly successful in the Supply Chain space. Why is that and what apps are we talking about? And what can non-Blockchain developers learn from Blockchain's success in the Supply Chain? In this session we will begin by looking at VS Code and the brand new cloud-based IBM Blockchain Platform to see how we develop Blockchain apps. We'll also look at some other up-and coming dev tools. We'll then look at two succssful Blockchain apps in the Supply chain space: IBM Food Trust and TradeLens and delve into the architecture pre- and post Blockchain to understand why the Blockchain has been so dramatically successful in the Supply Chain area. We'll cover architectural good practices, Smart Contracts, issues like GDPR and how to store personal data on the Blockchain, on- and off-chain, security, encryption and performance, modeling Blockchain applications and we'll end up with a discussion of what other areas might also be ripe for disruption with Blockchain technology.

In this session we will begin by looking at VS Code and the brand new cloud-based IBM Blockchain Platform to see how we develop Blockchain apps for Supply Chain. We'll also look at some other up-and coming dev tools.

IBM Blockchain Platform and VS Code: Globalizing the world of Supply Chain

A resilient, MySQL database next-gen architectural solution using open source software(using Orchestrator, Consul & HAProxy/ProxySQL). Which removes the human factor, a Zero-touch configuration management attains 100%  availability of database clusters during software upgrades/maintenances and disasters. 

Yes, everything is compacted and backed with DEMO. 

A resilient, MySQL database next-gen architectural solution using open source software(using Orchestrator, Consul & HAProxy/ProxySQL). 

Immortal database cluster architecture

Initially the purposed architecture for IOT machine learning invasion that the edge device would act purely as sensors forwarding data to Artificial Intelligence application running in the Cloud. Over time two issues have surfaced, which indicate a need to push part or all of these applications out towards the cloud edge.
For some applications the possibility of placing increasing computing power outward from the Central Cloud and thereby allowing the AI work to be push out to the Cloud Edge exists.
However for many IOT application constraints of power consumption and battery life preclude such a solution. In those case a hybrid approach where the training and execution portions of a machine learning application are split apart is often the solution. The training portion requiring extensive computing resources remaining at the Cloud Center with execution being ported to low power edge device at the Cloud edge via algorithm optimized for such devices.
The presentation will demonstrate the use of TensorFlow running in an Azure Notebook to do the model training portion of GRU time series machine learning application, which is deployed to ARM M4 low power microcontroller located at the Cloud edge via the ARM CMSIS NN package.
Note: This time series machine learning application like the one discussed in this presentation is more relevant to control application than the more commonly discussed pattern recognition AI applications.
&nbsp;

The presentation will demonstrate the use of TensorFlow running in an Azure Notebook to do  the  training portion of GRU time series machine learning application, which is deployed to ARM M4 low power microcontroller located at the Cloud edge.


Implementing Machine Learning on IOT devices at the Cloud Edge

Extreme programming is a set of practices that help agile development teams self-organize around quality software and quality of life. But giving a busy team the opportunity to build muscle memory around extreme programming practices such as pairing and mobbing, test driven development, and acceptance test driven development can be challenging for developers, product owners, scrum masters, managers, and coaches alike. Come hear from a renowned technical agile coach about an effective six-week Agile XP Dojo that is enabling active development teams discover ways to improve quality, sustainability, and team happiness with the help of extreme programming--all without stepping away from the work they‘re already doing.

Learn about a six-week Agile XP Dojo enabling teams to discover ways to improve quality, sustainability, and team happiness with the help of extreme programming.


Scrum: Novice to Ninja: Methods for Agile, Powerful Development

Improve Quality and Joy: Agile XP Dojos Work

Experimentation is the standard to measure the impact of products we are building. From front-end UI changes to backend changes, the data-driven decisions to pick a winning variant is facilitated by our experimentation platform. In this talk, we share how we leveraged Machine Learning to invigorate our platform with the intelligence to dynamically adapt to changing product requirements.

In this session, we will introduce the concept of multi-arm bandits, it's applications. We will also talk about the high level architecture and talk about challenges in implementing an AI system in production.

Intelligent Experimentation using Machine Learning

Have you ever wondered what is a wearable device? Do you wonder how to create an app that checks your heart rate? Do you know what are the main differences between a mobile app and a wearable app? In this session we will cover all these topics and more. Get ready to take your idea to a whole new audience and develop for devices worn daily by millions of users.

Learn how to develop and design apps for wearable devices, and reach a new global audience of smart watches’ users.

Intro to Smart Watches Development and Design

What is Test-Driven Development? How does it differ from conventional programming? In this session, we'll look at:

• The 3 Steps of TDD • The 3 Laws of TDD • A collaborative demonstration with a simple code kata • Costs vs. Benefits

A platform-agnostic intro to Test-Driven Development (TDD)

iOS Unit Testing by Example: XCTest Tips and Techniques Using Swift

Intro to Test-Driven Development

In this session, David will give an overview of modern application development and deployment through containers and Kubernetes, and how Red Hat OpenShift enables containerized, orchestrated microservices.
We&rsquo;ll cover: - What is Kubernetes and why is it useful? - How does Kubernetes help my application scale? - What are microservices good for? - What best practices does OpenShift recommend? - What are the benefits of Hybrid and Multi-cloud?

In this session, David will give an overview of modern application development and deployment through containers and Kubernetes, and how Red Hat OpenShift enables containerized, orchestrated microservices.

Introduction to Kubernetes and OpenShift

This will be a non-intimidating introduction to machine learning, one of the most dominant subjects in technology. We'll talk about what it is, how machines learn, and why it has become so important. We’ll look at why the quantity of data is so important to machine learning and the qualities that the best data should have. We’ll then talk about how a model is trained, and the machine learning process.
 
We’ll also discuss Artificial Intelligence and machine learning’s role in AI. This will be a non-technical introduction, but we'll discuss some of the technology behind AI, including neural networks and deep learning. Specifically, we’ll delve into Convolutional Neural Networks and explore why they’re so good at computer vision tasks. We'll also discuss how machine learning, deep learning, and artificial intelligence are related, and how they differ. We'll conclude by talking about some of the amazing things that AI can do and what it can’t do (yet).

This will be a non-intimidating introduction to machine learning. We'll talk about what it is, how machines learn, and why it has become so important. We’ll also discuss Artificial Intelligence and machine learning’s role in AI.

Introduction to Machine Learning and Artificial Intelligence

5G is future of wireless communications which is going to transform how wireless devices (mobile phones, cars, sensors, IoT) communicate with each other. In this presentation, we will focus on how 5G is transforming wireless field in general and cellular field in particular. We will start form 2G and discuss how cellular communication has evolved from 2G to 3G, 4G and now 5G. We will discuss how 5G is enabling technologies that are far from cellular domain and are moving to IoT (internet of things). We will also dwell on what challenges 5G is facing and how we can overcome those challenges.

5G is future of wireless communications which is going to transform how wireless devices (mobile phones, cars, sensors, IoT) communicate with each other. In this presentation, we will focus on how 5G is transforming wireless field.

Introduction to NR-5G and Its Challenges

What can we learn from the last couple of data breaches? You cannot assume that databases are a safe place to store data. During this session, we'll take a look at best practices to ensure that even if a database full of user password data is leaked, the possibility of password reverse engineering is minimized.
We'll also take a deep dive into the mistakes other companies have made and explore the real life consequences of such mistakes.

We will explore the best practices of storing passwords in databases.

Introduction to Password Security and Safety For Developers

We will cover all the new features of iOS development including Swift 5.1, ML Playgrounds, ARKit, and XCode10.  This talk will include all the latest announcements from WWDC 2019. We finish the session by examining the similarities between Kotlin & Swift / Material Design & Apple HIG / Android Studio & XCode / Play Store & App Store. The similarities will shock you :-)


This session will cover native iOS development with the best architecture, design patterns, libraries, components, tools, tips, tricks and new features from WWDC 2019.

iOS: The Best Parts

Securing docker application requires one to know internals of Linux security. Armed with Linux security pillars, we will review how docker security has expanded on it. Kubernetes is default orchastrator of dockerized applications. With basics of Linux and Docker security covered, we will review foundations of Kubernetes security. We will review YAML files with various aspects of Kubernetes security ( Node, Pod, Container, Port, ServerRole, RBAC etc. ).
 
In this session, you will also learn how docker security can be transparently moved to Kubernetes and then, you can make improvements in incremental manner. Live demos will make concepts clear and session highly interactive. The demos will be shown on local Dcoker installation and on public clouds like Googe, Azure Kubernetes platforms.

Dockerized applications are on rise with Kubernetes as orchastartor. In this session, let us  learn how Linux/Docker  security principles power Kubernetes Security. Live demos will make concepts clear and session highly interactive. 

Knowing Linux and Docker Security for  Kubernetes Security

Working for some of the best known names in the tech world like Google and Facebook is a dream for many programmers. But a major obstacle in this pursuit is the interview process at these companies, which are typically academic and pedantic, often involving testing of concepts not used in professional programming such as recursion and dynamic programming. Thus unconventional and self taught programmers, and those who rusty on academic fundamentals are put at a disadvantage. 

This session intends to provide a  overview of the interview process at these companies, and a guideline for anyone, especially self taught programmers, to have a fair chance at cracking coding interviews. 

Key sections covered in the session are overview of the interview process, strategies to get noticed by recruiters, topics to prepare for algorithms and data structures based coding interviews along with an overview of abstract topics like time complexity, recursion and dynamic programming, and strategies to answer behavioral questions.


Strategies to get noticed by recruiters at top tech companies and prepare for coding interviews, including an overview of challenging topics like time complexity, recursion and dynamic programming. 

Landing a job at sought after companies like Google and Facebook?

How can I create and lead sustainable business transformation in my organization? How can I manage organizational change in my organization? How can I lead innovation to create long term transformation/adoption from a people, process, and technology perspective? We will explore answers to these questions by examining several organizational change management (OCM) frameworks (such as The McKinsey 7-S Model, KYOCERA's Organizational Change Management Consulting Approach, etc.) and recommend how to best utilize these frameworks. We will analyze the business transformations of several Silicon Valley Tech Companies and dig deeper into the process modifications (such as the creation of corporate startup accelerator programs) and tech tools utilized to create organizational change. We will also go through change management team building activities that you can take back with you to your organizations to begin conversations on change leadership and innovation.
This session is for current and prospective directors, engineering directors/managers, technical program managers, technical management consultant, change management consultants, and technical product managers. Managers that are involved with business transformations are expected to benefit the most.

How can I lead innovation to create long term transformation/adoption from a people, process, and technology perspective? We will explore answers to these questions by examining several organizational change management (OCM) frameworks.

Leading through Innovation

The Go programming language is the best choice for web programming today. 
 
Created by Google, the Go programming language allows you to build web services that easily scale. 
 
In this session, you will learn how to build a web server in Go and will see how to program routes to handle requests and serve responses. 
 
For three years, it has been my privilege to teach the Go Programming Language and Web Development With Go at both the college and university level. I have taught Go as an introductory programming course and I have taught Go to graduate students in computer science. In addition, I have taught over 50,000 students online the Go Programming Language. 
 
I am looking forward to sharing with you my passion for Go, along with the great repositories I have developed over the last two years to help people learn Web Development With Go.

In this session, you will learn how to build a web server in Go and will see how to program routes to handle requests and serve responses. 

Learn To Build A Website with Golang

Successful Personalization is the most important factor behind the growth of Netflix, LinkedIn and Amazon. With personalized recommendations, Amazon can generate more revenue, Netflix can attract more subscribers and LinkedIn can link more users.
In this session, we will learn Artificial Intelligence and how to use it to create a Personalization experience.


Artificial Intelligence for Personalization implementation

Learn to use Artificial Intelligence for Personalization

In this fun, debate-style session you will learn what are the differences and pros and cons using Kubernetes vs Red Hat OpenShift. Join Marek Sadowski and Dave Nugent as they debate each other on Kubernetes vs Red Hat OpenShift and share in which situations one technology is more appropriate than the other. We will debate and you will learn about: 1) deploying your apps; 2) managing your apps; 3) day to day operations; 4) security
The main take away for the participant would be good knowledge on the most popular Containers technology, as well as when to use default Kubernetes or RedHat OpenShift for containers orchestration management.

In this session you will learn what are the differences and pros and cons using Kubernetes vs Red Hat OpenShift. Join Marek Sadowski and Dave Nugent as they debate each other on Kubernetes vs Red Hat OpenShift.

Let’s Get Ready to Rumble - Kubernetes Vs. Red Hat OpenShift

Machine learning has been subject to great hype within the tech industry; sparking great interest amongst seasoned and aspiring engineers alike. In spite of the large barriers to entry, high level frameworks like Keras, SKLearn, and ML5js, help democratize artificial intelligence to the masses. Apple has made their contributions to help this cause by developing Core ML and Turi Create; high level frameworks that allow developers to incorporate machine learning capabilities into their apps from automating the detection of hateful posts or explicit images, using image recognition to identify what a user is selling, or creating a chatbot for help centers. 
 

Turi Create is a high level deep learning library that allow developers to create their own pre-trained classifiers; a machine learning model that acts as a cheat sheet for computers to make prediction. Core ML is not a machine learning library but a library that allow developers to apply their pre-trained classifiers into their apps. Core ML works with other high level libraries like Vision for image and object detection, natural language for language processing, and GameplayKit for decision trees. Both libraries are easy to use and the audience will take away knowing how to create their own pre-trained classifiers to create an image recognition app and a sentiment analysis app.

Learning how to create your own machine learning models with Turi Create and converting those models to Core ML models and apply them to iOS applications.

Machine Learning for iOS

In this session, you'll learn the details of the Hexagonal architecture (aka "Ports &amp; Adapters") and how it helps keep your code clean and well-tested. You'll find out how can scale from small microservices to much larger applications and how it's superior to traditional tiered and horizontally layered architectures.
You'll see how the core domain is easily augmented with RESTful APIs, a Web UI, database persistence, and calling out to external APIs. You'll learn how each part fits nicely into place in the Hexagonal architecture, yet are expendable when external needs change, without causing a major overhaul.
While this talk is full of multiple examples of working Java code (Spring Boot) that implements this architecture, it is directly applicable to other languages, such as PHP and JavaScript.

Making your code more testable can be easy if you have the right architecture. In this session, you'll learn how the Hexagonal Architecture (aka Ports & Adapters) can not only make it easier to adapt to a changing world, but help keep things testable

Track Name: AI and Machine Learning