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Deep learning advancements

This session explains how recent development in the field of Artificial Intelligence (AI) makes gap between human and machine smaller than ever before, by explaining and comparing traditional approach user in development of AI systems with new approach that has been used by AI system AlphaZero, developed by Google's DeepMind.

Traditionally AI systems have been tested in chess and the same has been done to demonstrate the power of AlphaZero. But, instead of playing against human, it played against the best (at the time) chess program Stockfish. While chess programs (before AlphaZero), were using powerful hardware and embedded built-in formal knowledge about the game, AlphaZero is using completely new approach, running on standard hardware and using deep learning. It learned about the game by playing a large number of games with itself, learning in the process.

Session will also explain what is so revolutionary in AlphaZero approach to AI and how this new approach can be used in different areas of processing visual information, bio-medicine, autonomous driving, robotics and AI generated images/videos of humans.

Advanced databasing

Advanced techniques in using RDBMS.
Learn how to use your database as a pro, squeeze the last drop of performance from the same hardware.

Design your system to be both high available and high reliable. Don’t get stuck in mediocrity, move your system further by learning secrets professionals won’t share on StackOverflow.

Machine Learning on the IoT Edge

or options in running TensorFlow on Pi. My idea was (a bit born from need), to run TensorFlow on Pi class device. And this presentation is born from my adventures, showing pro and cons of each approach.
From running directly on Pi to Azure IoT Edge on to Intel Neural Stick, and the list most probably is in “works” you will see the challenges and results of implementing TensorFlow using these technologies.

Remark: Kinder chocolates have noting to do with ML but will be present ;).

Tale of Two Pizzas: Developer Tools @ AWS

In this session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon.

Darko will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS Developer Tools set of Services, inspired by Amazon's internal developer tools and DevOps practice.

Where to implement rendering in your JavaScript application - CSR or SSR?

These days Single Page Application (SPA) is trendy. With SPA, Client Side Rendering (CSR) comes by default, and people forget what Server Side Rendering (SSR) is.
Let's try to explain what is the difference between these two, so you understand architecture better when you need to decide on what will you use. CSR or SSR?

coding.starts_with('git commit');

Good Commit and Commitizen completely rewired my programmer's brain.

What are they anyway and why are they so important?
How can they help us become good open and closed source citizens?
Why coding should start and not end with "git commit"?

This is a story of Good Commit and Commitizen told through plenty of real-life examples. But it's also much more than that. It's a story of a sudden and unexpected personal and professional transformation.

Coding that starts_with("git commit") has the power to make us more focused and more productive. It has the power to rewire our programmer's brains. For the sake of having more fun, focus, and productivity between our commits.

I hope my positive experience will motivate you to start rewiring your own programmer's brains :-)

Cloud architectural patterns 101

Cloud has been a buzzword for almost ten years now, but still, a considerable portion of systems isn't "up there". The reasons vary from being scared through not having enough time to investigate it properly, to valid legal and/or technical reasons.
It's easy to get started and not so easy to make it right. Cloud requires serious thought and serious investment into learning the new concepts before one can understand what the trade-offs are.
We all heard of the horror stories of raking incredible fees by simply not understanding that having the infinite scaling set up creates infinite cost scaling as well.
Through many demanding migration projects, I realized there is no way I can satisfy the demand. There is simply no way to teach many organizations to bootstrap their cloud efforts right. So, I built the solution for that demand - a concentrated solution based on the verified, battle-tested configurations I made for clients throughout the years. One with proper security in place and tailored for real-world scenarios I encountered in my work.
The goal was to ease the migration, cut down the migration cost and duration, and increase the reliability and stability of the new system. But to make something like it, you first have to figure out which "templates" fit most of the use cases, and are a good fit to start extending for those cases which require more specializations.
Don't get me wrong... this isn't a sales talk, this is a talk about that journey, full of recommendations how to move to the cloud... any cloud, since the patterns and services are almost the same.
So please join to see us taking off the "mystery veil" off of the cloud, and discussing how to build your cloud native and/or hybrid cloud system without much fuss.

Learn blockchains by building one

According to Google research, Bitcoin and blockchain were among the most searched terms in the past year, while blockchain technology is one of the leading developer trend at the moment.
More and more companies are looking for a way to use blockchain mania for their own benefit. Over 50 percent of large corporations are interested in building some kind of blockchain application.
Those are very good news for software developers. Why? Blockchain is explicitly based on software, how to safely store, share and maintain the data (transactions).

Blockchain applications can be developed in different programming languages like Go, C#, C++, Java or Python. During this presentation, after a short introduction about blockchain, we'll create our mini version of blockchain using JavaScript.
Why JavaScript? Because of the simplicity and the fact that the next assertion is TRUE: 9999999999999999 === 10000000000000000.

Let's make our own mini blockchain!

The platform is dead, long live the platform

Out with the old, in with the new. Replacing a functioning platform with shiny containerized automated goodness.
When companies evolve, their tech stacks need to as well. But sometimes you realize every single part of the machine needs evolving, and you're better off scrapping the entire thing.
Zero downtime migration from a legacy stack based on Jenkins, Ansible, Icinga, HAproxy, nginx, uwsgi, pypi, and Tomcat to a new one based on Travis, Docker, CloudFormation and ECS/Fargate with assorted tech debt solved on the way there.

A high level overview of current tech, leaning towards the "serverless" trend by having 0 self-managed resources ("classic servers"). Talk will focus on AWS offerings but is applicable to most of the popular public clouds.
It's basically a rich man's Heroku, with all the flexibility you might possibly need, while avoiding scary tech like Kubernetes which nobody wants to really learn how to manage properly.

Agile development - are you really ready

Do you know that more than 75% of all companies never succeeded with Agile?
Are you aware which steps are necessary before you can say that you are agile?
Do you know which mistakes are common to all IT companies?
If your answers are mostly - YES, this session is just for you.

TDD. Launch can not wait! Let's write tests.

Test driven development(TDD) has become standard. Writing tests in right way can make difference between delivering high quality code on time and a catastrophic failure. However in practice we usually don't apply TDD at all or make some crucial mistakes when doing so. Let's focus on mistakes we frequently make. Why do we repeat them? How can we fix those when it's not only up to us?

We will cover:
1. Story about my interview project:
* How TDD saved me big delay in short term project.
* How this would effect on bigger projects?

2. Why sometimes we don't write tests? How it slow us down?
* In order to deliver faster we sometimes don't write tests.
* How it actually slow us down?
* What other problems it makes?
* Why sometimes we claim to use TDD, but actually we don't.
* What frequent mistakes we make.


3. Basic concepts of TDD

4. Good practices:
* Anti-patterns in testing
* Test coverage - How to decide where to write tests?
* How to write tests easier, faster and more reusable?

5. Helpers in testing:
* Helpers and libraries that will improve your test writing.
* Few simple NodeJS examples.

6. Summary:
* Let's not repeat same mistake.
* Write tests, write them by TDD and write them properly.
* Learn more about good practices, helpers and libraries.
* Improve your code by adding tests/refactoring old tests.

Machine Learning on the IoT Edge

or options in running TensorFlow on Pi. My idea was (a bit born from need), to run TensorFlow on Pi class device. And this presentation is born from my adventures, showing pro and cons of each approach.
From running directly on Pi to Azure IoT Edge on to Intel Neural Stick, and the list most probably is in “works” you will see the challenges and results of implementing TensorFlow using these technologies.

Remark: Kinder chocolates have noting to do with ML but will be present ;).

Micro Frontends - micro-services on the frontend

There are multiple advantages in successful techniques and strategies of micro-services, an architecture paradigm which is typical for backend.

The idea is to improve already standard SPA application development to make them use technology agnostic, isolated parts of code which are a flexible fit for the work with multiple teams.
Applications like that implement modern approaches like Progressive Web Applications (PWA) for offline work, web components, native browser APIs, server-side rendering, and even data access.
During this session, we'll take a look at advantages that micro frontend architecture provides as well as preparing the applications for the future that follows.

Be nice, help the person who hacks your servers to get your data

Where are your credentials and secrets stored?
In .env files or in environment variables, or even worse in config files?
Are your primary AWS keys shared amongst developers?
Do you still have SSH keys from former employees on your servers?

If your answer is "Yes" to one or more of these questions you probably haven't heard the term "secrets management"

In this talk we will look into managing secrets in development and operations, and expose the problems related to them.

I will give you an overview of the current state of techniques to mitigate these problems and we'll take a brief look at how an open source tool like Hashicorp Vault can provide a solution to managing secrets in the years to come.

Deep learning advancements

This session explains how recent development in the field of Artificial Intelligence (AI) makes gap between human and machine smaller than ever before, by explaining and comparing traditional approach user in development of AI systems with new approach that has been used by AI system AlphaZero, developed by Google's DeepMind.

Traditionally AI systems have been tested in chess and the same has been done to demonstrate the power of AlphaZero. But, instead of playing against human, it played against the best (at the time) chess program Stockfish. While chess programs (before AlphaZero), were using powerful hardware and embedded built-in formal knowledge about the game, AlphaZero is using completely new approach, running on standard hardware and using deep learning. It learned about the game by playing a large number of games with itself, learning in the process.

Session will also explain what is so revolutionary in AlphaZero approach to AI and how this new approach can be used in different areas of processing visual information, bio-medicine, autonomous driving, robotics and AI generated images/videos of humans.

Rewrite or Refactor That Is the Question

Two teams solving the same problem in two different ways. This talk will follow the Android and iOS teams at FlixBus fighting with legacy code, each in their own way. The Android team chose to refactor their old app, while the iOS team decided to create a brand new application.

In this talk, we will consider the benefits and drawbacks of both approaches. We will also go through the pitfalls that you may encounter on these paths to a modern codebase.

By the end of this talk, you will have all the necessary knowledge to pick the best path for you when fighting with the technical debt.

Possibilities of functional design in C# 8

Object-oriented and functional programming have always been the two sides of the same coin. A recent development of typical object-oriented languages, like C# and Java, confirms that the mixing of paradigms is possible (and preferable) inside the same codebase.

During this talk, we'll see the new functional features that came with a new syntax in C# 8. We'll show the advancements in pattern matching syntax and the consequence it had on class design.

We'll see that functional design is already a real possibility in C#, despite the obvious syntax flaws when compared with pure functional languages.