Speakers

SPICE is a solution developed by Red Hat to access virtual machines remotely. Under the pressure of 3D-enabled desktops and gaming clouds, SPICE has been redesigned with a stronger focus on video streaming. Smart streaming adjusts the video quality dynamically for a better remote desktop experience.

“Is your Time To Market increasing? Move to microservices! Everybody will love it. ”

This is precisely what we won’t be telling you in this talk.

 What are good reasons to perform this move? How should it be initiated?

When overwhelmed with microservices, which tools or practices would save your life?

These are the main questions we will try to address.

“Is your Time To Market increasing? Move to microservices! Everybody will love it. ”

This is precisely what we won’t be telling you in this talk.

 What are good reasons to perform this move? How should it be initiated?

When overwhelmed with microservices, which tools or practices would save your life?

These are the main questions we will try to address.

E2E testing is the part developpers hate. Setting up, writing, running and debuging tests is now made easy thanks to Cypress.io. I will explain why I considered using Cypress and do a live-coding demo to show how to use Cypress in practice in a BDD process, from the Code editor to the CI/CD chain.

The purpose of this workshop is to allow you to discover the main features of Terraform, one of the most famous tool in the domain of Infrastructure as Code. We will work together on simple exercises and you will quickly understand why this tool is so appreciated!

Prerequisites: 

– A computer
– An SSH client
– known how to add an SSH private key

Discover how to set up continuous integration with Gitlab-CI and Docker, then deploy your application on a Kubernetes cluster.

Prerequisites:

– an account on https://gitlab.com/users/sign_in

– a laptop, possibly with docker

Due to the versatility of the markets addressed, operational agility is essential to industrial success. This agility has a cost in terms of complexity and heterogeneity of information and control systems. Moreover, parallel to the deployment of automation, we experience an evolution in the manufacturing trades: products are manufactured in lesser quantity and larger variations. Given, this complexity, the human being finds more and more its place as a supervisor: it guarantees the smooth functioning of the system as a whole by being able to unlock as quickly as possible any abnormal situation. Still, AI and rule-based systems prove to provide interesting « complements » to help them focus on the real problems and their possible causes. By attempting to eliminate false positive alertings, the real pain of automatic supervision, we can provide truely useful « assistants » that help reduce stress. Hurence, a recognized specialist in Big Data systems, is setting up an hybrid system, mixing rules and supervised learning, that: detects abnormal situations in the production line in real time; provides real-time diagnostic assistance on the potential origin of the anomalies and the corrective actions to be taken. This system is based on a light and real-time Big Data architecture able to: process in real time the large volumes of industrial data driving the plant exploit the experience accumulated by operators through the use of a rules engine embark supervised learning in order to automatically improve the detection of abnormal situations and their diagnosis, with the objective of reducing the amount of false positives

The rise of IoT and smart infrastructure has led to the generation of massive amounts of complex data. Traditional solutions struggle to cope with this shift, leading to a decrease in performance and an increase in cost. In this talk, we will take a look at this kind of data coming from real-world smart factory sensors. Participants will learn how to create a data pipeline for ingestion and visualisation. By the end of this session, we will be able to set up a highly scalable data pipeline for complex time series data with real-time query performance.

Prerequisites:

A laptop, with a functional docker environment and a java development environment.
We can use Kafka with other languages (javascript, python) but java is still the main language in the kafka ecosystem.

This workshop will introduce how embedded 3D GPUs are working, and how they can be programmed at low-level on a Linux systems. Live coding examples will be presented: GL ES shader programming, full embedded system build with Buildroot, live camera image processing with V4L2 and GStreamer…

Prerequisites:

People interested to do the coding examples should come with a laptop running a working Linux system (e.g. Debian 9, Ubuntu 18, Fedora 29, …) with some free disk space (about 20GB). This is a technical session, in which many programming examples will be shown.

Attendees may follow the presentation without any equipment. All the presented materials and code will be published, so it can be reproduced later on.

Attendees which would like to do live coding session, will need a laptop with Linux (tested with Ubuntu 18). 20GB of free disk space is needed for running all demos.

Design your Connected Object in the biggest FabLab of the Côte d’Azur: Design, prototyping, realization (3x1h)

In this talk, we will discuss some of the current trends in AI and see how these can be applied within the travel industry. From choice modelling to recommender systems, reinforcement learning to data generation, we will showcase how these techniques can be leveraged to improve the travel experience.

Application developers making use of open source components need to know whether those components comprise security vulnerabilities, understand their risk in the particular application context and mitigate accordingly. This vulnerability management can be automated using an open source solution called vulnerability-assessment-tool, developed by SAP and open sourced in 2018. This solution requires a vulnerability database with detailed information about the vulnerable source code and the respective security patch, all of which is difficult to obtain due to non-reliable standard sources of advisories and vulnerability data (such the National Vulnerability Database, NVD). In our previous research work, we treated source code changes as documents in natural language processing, potentially ignoring the structured nature of source code, in order to populate the database. We will give a brief overview of the directions of our most recent work, where we incorporate the semantic properties of code into our analysis by leveraging on state-of-the art approaches to generate distributed code representations by analyzing and aggregating paths extracted from the abstract syntax tree of the code.

Application developers making use of open source components need to know whether those components comprise security vulnerabilities, understand their risk in the particular application context and mitigate accordingly. This vulnerability management can be automated using an open source solution called vulnerability-assessment-tool, developed by SAP and open sourced in 2018. This solution requires a vulnerability database with detailed information about the vulnerable source code and the respective security patch, all of which is difficult to obtain due to non-reliable standard sources of advisories and vulnerability data (such the National Vulnerability Database, NVD). In our previous research work, we treated source code changes as documents in natural language processing, potentially ignoring the structured nature of source code, in order to populate the database. We will give a brief overview of the directions of our most recent work, where we incorporate the semantic properties of code into our analysis by leveraging on state-of-the art approaches to generate distributed code representations by analyzing and aggregating paths extracted from the abstract syntax tree of the code.

Datafari is a big data open source enterprise search solution. It can be used to index your hard drive, as well as the file shares of your organization, but also data from the web. Many crawling connectors make it multisource (Sharepoint, SMB, DBs, Web…). The difference with Elasticsearch? It is a layer above: Datafari is not only a search engine, it also provides a framework for crawling, it manages security, it provides a web interface, as well as a complete administration interface. In this initiation workshop, we will be presenting the tool and its architecture, and then we will dive directly into its installation and usage: installation of Datafari CE on your machine, first indexing and configuration, customizing of the UI. With this, you can go back home with a technology that is easy to install and providing you with a search that is multisources and multiformats.

Prerequisites:

participants must come with a laptop with at least 8GB of RAM. Preferences, the laptop must be under Linux to be able to do the installation phase. If the laptops are on windows, we will skip the installation step.