The EGG | 09 April 2019

Agenda Overview

  • Tuesday, 09 April
  • Tuesday, 09 April
  • 08:00 – 9:00 Registration
    09:00 – 9:50 Concurrent Session
    10:00 – 10:50 Concurrent Session
    11:00 – 12:15 Keynote
    12:15 – 13:15   Lunch
    13:15 – 14:05 Concurrent Session
    14:15 – 15:05 Concurrent Session
    15:05 – 15:30 Break  
    15:30 – 16:20 Concurrent Session
    16:30 – 18:00
    Networking Reception

    *Agenda subject to change.

Session Details

Technical Track 1

Tech Deep Dive: Cloud Backup and Data Management with Veeam, N2WS and AWS

9:00 – 9:50

Moving backups to the cloud and managing data protection across on-premises and cloud environments can be challenging. Veeam and N2WS (a Veeam company) enable data protection and portability to the AWS Cloud with enterprise-class backup and disaster recovery for EC2, RDS, DynamoDB, and EBS. In this technical session, learn how to scale for growth on the AWS cloud and manage data protection for thousands of production EC2 instances. We will cover how to backup, restore, and protect production databases and workloads with N2WS Backup & Recovery solution, NEW Veeam Availability for AWS, and the significant cost-savings in long term data retention with native S3 integration to Veeam’s flagship product, Veeam Availability Suite 9.5 Update 4 release.

Niels Engelen, Global Technologist, Veeam Product Strategy

Laurent Mombel, Senior System Engineer, N2WS

Management Track

Tableau and AWS: Analytics in the Cloud

9:00 – 9:50

Many organizations are shifting to a data lake architecture, which makes massive amount of data readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Tableau has deep integrations with AWS to equip enterprises with an end-to-end analytics platform in the cloud. It all starts with direct connections to Amazon data sources including Amazon Redshift, Amazon Athena, and Amazon EMR Hadoop Hive. Beyond this, Tableau Server runs seamlessly in Amazon’s cloud infrastructure so that organisations that prefer to deploy all systems on AWS have a complete solution offering from Tableau.

David Sigerson, Sales Consultant, Tableau Software

Jeet Shangari, Senior Technical Account Manager, Amazon Web Services

Spotlight Track

VMware: The Fastest Path to Hybrid Cloud

9:00 – 9:50

Organisations are rapidly adopting hybrid cloud strategies to take advantage of both on-premises and cloud services. However, moving applications to the cloud can be difficult and time-consuming, often taking months. VMware offers solutions that customers are using to migrate hundreds of applications to the cloud in a few days. Additionally, VMware solutions simplify day 2 operations by providing consistent infrastructure and operations across on-premises and public cloud services. Come to this session to hear how VMware is helping organisations migrate applications to the cloud, extend their data centers to the cloud, deploy cloud-based disaster recovery solutions, and modernize their applications with the power of VMware and AWS cloud services.

Gilles Chekroun, Lead VMware Cloud on AWS Specialist, VMware

Paul Bockelman, Sr. Manager, Specialist Solutions Architect, Amazon Web Services

Technical Track 2

Building Intelligent Applications Using AI Services

9:00 – 9:50

Easily add intelligence to your applications using pre-trained AI services for computer vision, speech, translation, transcription, natural language processing, and conversational chatbots. No machine learning skills required.

Steven Bryen, Senior Technical Evangelist, Amazon Web Services

Building with Purpose-Built Databases: Match Your Workload to the Right Database

10:00 – 10:50

Learn how to evaluate a new workload for the best managed database option based on specific application needs related to data shape, data size at limit, computational requirements, programmability, throughput and latency needs, and more. This session explains the ideal use cases for relational and non-relational database services, including Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache for Redis, Amazon Neptune, and Amazon Redshift.

Daniel Manero Bernao,  Solutions Architect, Amazon Web Services

Top Cloud Security Myths Dispelled

10:00 – 10:50

In this session, we cover the most common cloud security questions that we hear from customers. We provide detailed answers for each question, distilled from our practical experience working with organisations around the world. This session is for everyone who is curious about the cloud, cautious about the cloud, or excited about the cloud.

Tim Rains, Cybersecurity & Compliance Leader for EMEA, Amazon Web Services

Using Voice Technology to Enhance the Student Experience

10:00 – 10:50

Voice technology is becoming the newest medium in which students can interact with their education. With Amazon Alexa, students worldwide are gaining more from their educational experience by simplifying ways they acquire information and stay organized. Institutions can personalize campus life by building private skills, providing daily flash briefings, and quickly retrieving campus information. Join Chris Dixon, Head of IT and Innovation at Lancaster University, to learn more about how the L.U. Alexa skill is adding another dimension to the student university experience, engaging students in a variety of topics from study skills and welfare problems to social life and academic progression.

Chris Dixon, Head of IT and Innovation, Lancaster University

Ana Cavez, Business Development Manager, Education, Amazon Web Services

Modern Application Development in the Cloud

10:00 – 10:50

When it comes to building our own services, our engineering groups have strong opinions, and they express them in the technologies they pick: Are microservices always the way to go? Should we choose serverless, containers, or serverless containers? Is relational over? Is Java over? Learn about our experience in building AWS services and working with customers on their cloud-native apps.

Steven Bryen, Senior Technical Evangelist, Amazon Web Services

Drive Digital Transformation Using Machine Learning

13:15 – 14:05

Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.

Neil Mackin, Technical Business Development Manager, Amazon Web Services

Florian Goossens, Co-founder & Project Lead, Radix.ai

Paul Van Brabant, Lead AI & Analytics, VDAB (Flemish Employment Agency) 

Better, Faster, Cheaper: Government in the Cloud Age

13:15 – 14:05

Can a government be an innovative, citizen-centric, data-driven organisation? In this session, government pioneers will share their experience in building a modern, open, cloud-based infrastructure that makes public service fit for the digital age.

Christian-Zahorski Philippe, Head, Pan-EU, Amazon Web Services

Mario Campolargo, Deputy Director-General, European Commission

Dr. Patrick Grete, IT Security in the Cloud, German Federal Office for Information Security (BSI)

Wayne Parkes, Chairman, UK National Police, Technology Council

Working with Open Data in the Cloud

13:15 – 14:05

AWS allows you to share any amount of data with as many people as you want. Come learn about how governments, research institutions, and even private companies are using AWS to share massive amounts of data publicly. In this session, you will learn best practices for sharing data in the cloud, how to find publicly available datasets through the Registry of Open Data on AWS, and how you can share your own data through AWS. You will also learn practical examples of how government agencies can use open data in their own operations to achieve their missions at lower cost.

Jed Sundwall, Global Open Data Lead, Amazon Web Services

Daniel Bernao, Solutions Architect, Amazon Web Services

Modern Data Platform on AWS

13:15 – 14:05

Modern data is massive, quickly evolving, unstructured, and increasingly hard to catalog and understand from multiple consumers and applications. This session will guide you though the best practices for designing a robust data architecture, highlightning the benefits and typical challenges of data lakes and data warehouses. We will build a scalable solution based on managed services such as Amazon Athena,AWS Glue, and AWS Lake Formation.

Javier Ramirez, Senior Technical Evangelist, Amazon Web Services

Getting Started with Serverless Architectures

14:15 – 15:05

Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities. In this session, you will learn about serverless architectures, their benefits, and the basics of the AWS’s serverless stack (e.g., AWS Lambda, Amazon API Gateway, and AWS Step Functions). You will also get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately.

Prakash Palanisamy, Solutions Architect, Amazon Web Services

Moving to DevOps the Amazon Way

14:15 – 15:05

DevOps is currently one of the most sought after engineering models. One reason is that it helps enterprise transformations. The Amazon transformation to DevOps was born out of the desire to be even more customer obsessed, more agile, and more innovative. Come and learn from our journey as we share the playbook that helped us successfully implement and adopt DevOps as well as the lessons we learned the hard way.

Mario Vlachakis, Solutions Architect, Amazon Web Services

Accelerating Innovation in the Public Sector with Cloud Innovation Centers

14:15 – 15:05

AWS Cloud Innovation Centers help cities, governments, universities, and not-for-profit organisations solve some of their largest challenges, including public safety, smart transportation, homelessness, and environmental protection. In this session you will hear about how leading public sector organisations such as Cal Poly, Sciences Po, Munich University of Applied Sciences, and CODE Berlin are using Amazon’s working backwards methodology and cloud technology to innovate at speed to drive better citizen services and experiences.

Dr. Sven Winterhalder, Head of the Strategic Advancement Office, Munich University of Applied Sciences (MUAS)

Dr. Florian Allwein, Program Manager, Digital Transformation Lab, Munich University of Applied Sciences (MUAS)

Emilia Lischke, Head of Partnerships, CODE University of Applied Sciences (CODE)

Thomas Bachem, CEO, CODE University of Applied Sciences (CODE)

Ben Butler, Senior Manager, Cloud Innovation Center, Amazon Web Services

Lars Schmitz, Digital Innovation Lead, Amazon Web Services

Breaking the Monolith Using AWS Container Services

14:15 – 15:05

How do you break a monolithic application into microservices? Learn how AWS delivers the integrated building blocks to support the move to containerized microservices for any application architecture, regardless of scale, load, or complexity. Learn more about the newly released AWS App Mesh and how it makes it easy to monitor and control containerized microservices. We will explore different options for running containers on AWS, such as AWS Fargate (serverless containers), EKS, and ECS.

Ric Harvey, Senior Technical Evangelist, Amazon Web Services

Everything You Need to Know About Big Data: From Architectural Principles to Best Practices

15:30 – 16:20

In this session, we discuss architectural principles that help simplify big data analytics. We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.

Manos Samatas, Solutions Architect, Amazon Web Services

No Session

The People Pillar of Cloud Adoption: Developing Your Workforce & Building Digital Talent

15:30 – 16:20

A successful cloud-transformation journey incorporates three pillars: people, process, and technology. Far too often, organisations focus on process improvements and technology implementation, but ignore the human aspect. Many leaders acknowledge that the first two are easy to modify, while influencing culture is more difficult. This session covers best-practice methods meant to empower customers to address this challenge. Learn about roles and responsibilities germane to the transition and post-cloud adoption phase. Assess your organisation’s gaps among the requisite skills and competencies, build effective training models, and shape an effective DevOps culture.

Thomas Blood, Enterprise Evangelist, Amazon Web Services

Jan Willem Arnold, Head Information & Process Management, Royal Netherlands Meteorological Institute, KNMI  

Enabling Resilience Through the Cloud: AWS Disaster Response Program

15:30 – 16:20

The AWS Disaster Response Program, launched in August 2018, is focused on helping public sector organizations (governments, NGOs, educational institutions) leverage AWS technology before, during, and after disasters. In this session, we will discuss how AWS services, such as Snowball Edge, are enabling secure access to critical workloads and datasets in limited or disconnected environments to improve our customers’ response capabilities. We will share with you how Amazon Connect provided a scalable, virtual call center solution to ensure hurricane survivors can speak with volunteers about information on critical aid services. Come and learn from AWS employees’ experience deploying to disasters and how those lessons are helping to solve our customers' biggest challenges.

Jed Sundwall, Global Open Data Lead, Amazon Web Services