As we kickoff AWSome Day, we'll start with the basics: what is the cloud, the advantages of cloud computing, cloud deployment models, and AWS' global infrastructure.

In this section, we'll introduce Compute by comparing the differences between physical and virtual servers and highlight Amazon Elastic Compute Cloud (EC2). We will then transition to a short discussion on Storage, and the many scalable, durable, and cost-effective Storage options available through AWS. 

In this section, we'll showcase the power of purpose-built databases available through AWS. There's an option available to fit every organizational need. As we close this section, we will center on Networking, including Amazon Virtual Public Cloud and Elastic Load Balancing. 

Security is AWS' top priority. Grounded in the Shared Responsibility Model, AWS' services are designed for security with a highly automated, accredited, and available posture. 

In this section we will discuss innovation opportunities through topics like Machine Learning, IoT, Edge Computing and more.

As we close AWSome Day, you’ll leave with resources that will kick-start your learning journey and prepare you to start building on AWS.

Companies that follow the fast-changing trends of web and mobile application development deliver superior customer experiences. In this presentation, we review trends and learn how to deliver innovative applications faster. AWS Amplify provides solutions for building scalable full stack applications. The AWS Amplify admin UI is a visual interface for modeling data, adding authentication, authorisation and managing users and groups. We will look at how non-developers, even without an AWS account, can get access to the data they need to develop and manage apps. Once defined, the admin UI automatically provisions necessary backend infrastructure such as Amazon Cognito, AWS AppSync, and Amazon DynamoDB using AWS CloudFormation.

Organisations around the world are minimising operations and maximising agility by developing with serverless architectures. In this session we will talk with Jaap Kabbedijk, Head of Engineering from Ohpen. Ohpen is a cloud native banking platform that is using serverless technologies to build applications that are not only more resilient, secure, and scalable but also more cost efficient. In addition, we will share some of the new innovations made in the serverless stack. By the end of the session, you'll see how you can benefit from the serverless programming model, whether you’re building new applications or modernising your existing portfolio.

Modern applications are helping organisations around the world innovate faster while reducing cost and increasing operational resiliency. In this session, you'll learn about the running modern applications on containers with scalability, agility and innovation. In particular, this session will discuss use of spot instances, in place containerization, service decoupling, observability and business continuity while running containerized modern application at scale using customer examples and results. Alex Howard Whitaker from Ocado will talk about running retail solution at scale using AWS Container and Serverless Services.

As applications become increasingly distributed, developers and IT operators need more automated practices to improve their development and operations life cycles especially in the area of code quality and application availability. In this session you will learn how AWS AI services and machine learning can help you turbocharge your DevOps practices by reducing the time spent in managing code through to productions and identifying application availability issues.

In this session, you will learn how developers can leverage Infrastructure as Code and the AWS CDK, to write, test and maintain infrastructure resources in a reusable, scalable way. Matt Coulter from Liberty IT will share with us his experiences and the lessons he learnt while working as a Technical Architect for Liberty Mutual, where he built CDK Patterns, a collection of Serverless architecture reusable patterns built with AWS CDK and based on the Serverless Applications Lens of the AWS Well-Architected Framework.

AWS Fargate provides a way to use AWS Container Orchestration Services—Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS)—without needing to provision and maintain the infrastructure that runs your containers. Fargate gives you the flexibility to run containerised workloads on serverless infrastructure managed by AWS, without having to focus on capacity planning. But even though Fargate is fully managed by AWS, monitoring your Fargate clusters is still very desirable, as it can help you understand the performance and cost of your containerised applications. In this session, Gunnar Grosch (AWS) and Ara Pulido (Datadog), will discuss Fargate’s key metrics, how to gather them and ways to interpret and visualise that data, so you can make the best use of the platform. They will then demonstrate these key concepts through a live demo.

AWS helps thousands of organizations in the process of transforming, migrating, and governing their enterprise application portfolios.

In this session, Tim Brown, Senior Director Cloud and Operations at Inmarsat, will explain how Inmarsat, a global provider of satellite broadband services, approached the challenges and opportunities of a large scale migration and dive deep into their transformational journey which allowed them to accelerate their pace of migration from a few workloads a day to several hundred a month. Inmarsat real-world experiences, lessons learned and insights can help you execute your cloud transformation with confidence.

Enterprises are adopting AWS cloud at a rapid pace to lower costs, become more agile and innovate faster. While most workloads can be easily migrated to the cloud, some workloads remain on premises or in edge nodes due to low-latency, local data processing, or data residency requirements. Customers want to run their workloads using the same infrastructure, services APIs, and tools across all environments – from the cloud to on-premises to edge nodes.
In this session, Jennifer Didoni, Head of Cloud Portfolio and Management at Vodafone Business, will explain how Vodafone Business is leveraging AWS Wavelength to unveil the power of Multi-Access Edge Computing (MEC), by moving applications at the edge of its 4G and 5G networks. AWS Wavelength fully embraces the MEC paradigm, aiming at unlocking the potentiality of the developer community that is innovating at the so-called ‘last mile’, fostering its capabilities to smoothly deliver new solutions to the end-customers, with fast speed and ultra-quick response time.

Schneider Electric, a global leader in Energy Management and Automation solutions, wanted faster insights from its SAP and legacy mainframe systems. However, they understood that extracting value from data stored in multiple ERP systems and more, without impacting the performance of core operations required a well-crafted game plan. Attend the session to hear how the company joined hands with AWS and Qlik to unshackle its legacy data for real time insights with fully automated end-to-end data pipelines. Learn what it took to:

• Build a multi-purpose, highly performance data operations ecosystem with Amazon S3, Redshift, Databricks on AWS and Qlik

• Fully automate data replication and data lake creation while ensure pipeline visibility, transparency and control

• Deliver operational, managerial and financial insights to 3500+ active users in near real-time
  

Learn how you can benefit from intersection of the cloud and open source software using AWS. In this session you will learn how AWS is using, contributing, innovating in the open source space. You will discover how to choose the right open source software and how to deploy open source software at scale. You will see a demo of some of the AWS open source solutions like AWS CDK and CDK8. By attending the session you will learn about the AWS open source strategy and commitment to fostering growth and innovation with open source communities and projects, and we describe how you can participate, including by collaborating with AWS to build open source expertise within your enterprises.

Continuous Integration and Continuous Deployment (CI/CD) allows Development Teams to be agile and respond to rapid business changes. It is one of the mechanisms used to increase software quality. In the cloud, AWS customers are typically using managed services such AWS Code Pipeline and AWS CodeBuild to automate their CI/CD pipelines. But what about developers on the Mac platforms ? Those building iOS, tvOS or watchOS applications ? These typically require access to Apple machines running macOS to build, test and deploy the apps. In this talk you will learn how to combine these two worlds: orchestrate and automate your builds and test using AWS Code* services, while delegating the actual build and test to Amazon EC2 instances running macOS.

NXP Semiconductors N.V. is a semiconductor manufacturer headquartered in Eindhoven, The Netherlands. The company employs ~29,000 people in 30+ countries and has a 60+ years of history in accelerating breakthroughs that advance the world through their semiconductor technology leadership. NXP's chip design processes are extremely time-to-market focused, part of which involves running simulations to validate chip behaviour. During the simulation process, the demand for compute resources can be very high but, over the lifetime of a project, resource demand fluctuates making forecasting for capacity a complex process. In this session, Maarten Kelderman, Director R&D IT Design Infrastructure at NXP Semiconductors, talks about their adoption of AWS for running chip design workloads on the Cloud. You will hear about NXP's design infrastructure journey, learn about the HPC architecture NXP uses to support chip design projects, NXP's motivation to move to the Cloud, and their Cloud journey so far.

Data is incredibly valuable, but extracting it is getting harder and harder as the volume, variety, and velocity of data continues to explode. AWS offers a comprehensive collection of services to store, organize, secure, and analyze your data. In this session, Raamy Schroede, Woolworths BI Technical Manager, Alexandru Voinescu, Gameloft Technical BI Manager and Marian Cosmin Nicolae, Gameloft BI Manager, will discuss the way they are leveraging AWS Analytics Services for a data-driven infrastructure. Come learn about the variety of ways you can analyze your data to find the hidden insights that will help you succeed.

Cloud data warehouses are less expensive, easier to use, and faster than legacy on-premises data warehouses but still have an easy migration process that leverages your existing SQL skills. AWS recommends moving to a “lake house” approach for data warehousing that combines the best of both a data warehouse and a data lake approach to analytics. Learn how you can unlock better performance and increased functionality while still reducing your spend.

Customers worldwide use open source distributions including Spark, Hadoop, Hive, Elasticsearch, Logstash, Kibana, and Kafka and more for analytics, but struggle with the operational burden of hardware and software provisioning, management, and ongoing maintenance. Learn how to deliver insights more quickly and cost effectively by moving your big data processing, log analytics and search, and real-time streaming analytics to fully managed AWS analytics services with Amazon EMR Studio, Amazon Managed Workflows for Apache Airflow (MWAA) and how to visualise your insights with Amazon Quicksight.

Powered by Delta Lake, the Databricks Lakehouse combines the best of data warehouses and data lakes. We have built an open source and open format based, simple platform to store and manage all of your data for all of your analytics workloads. In this session you will learn how a modern lakehouse architecture builds on Apache Parquet, provides schema enforcement, and end-to-end streaming. Only basic knowledge of Data & Analytics and Machine Learning concepts is assumed in this presentation.

Loopmasters is a UK-based e-commerce company, building and selling sounds for DJs, producers and composers - from its own labels, and also 3rd parties. When the company was founded over 10 years ago, they were in the business of selling CDs and DVDs, but they’ve had to reinvent themselves multiple times to remain viable in the modern digital age. Loopmasters started using Amazon S3 to host their ever-growing library in 2017, before adapting more and more services as they built new, cloud-native applications. Loopmasters are currently mid-way through a large migration and database modernization program, which will prepare them for the next stage on their journey, as they recently became part of the Beatport family.

Fast analytics is critical to business success because you cannot act quickly when your dashboards are stale. But how do you keep latency down when your growth is through the roof? In this session, Felix Gessert and Wolfram Wingerath from Baqend show how, with the help of AWS, they scaled their analytics stack from 5 to 100 million users in a single month and switched from batch processing to real-time streaming analytics. Together with the AWS Prototyping Team, Baqend has completely renewed its analytics stack by replacing an ETL-heavy Athena warehouse with a continuously running Kinesis data analytics application. In addition to the purely technical decisions in this process, this session also shows how such a transformation can be organisationally implemented.

Developers are decoupling complex applications to build highly distributed, loosely coupled application architectures. We are seeing these applications powering the most demanding workloads in the cloud. By choosing the right database to solve a specific problem, developers are able to build applications to drive agility, innovation and efficiency. In this session, we will carefully determine the needs of a cloud-native application and choose a database which is aligned to the technical and business needs. We will be focusing on three of the purpose built databases Amazon DynamoDB, Amazon ElastiCache and Amazon Neptune. 

In this session, you will learn more about the journey from innovative idea to new computer vision startup (Lensor). You will hear how Lensor aims to automate all manual vehicle inspections and which challenges are faced, bringing Computer Vision from PoC into production. We will dive into how it works and how we leveraged AWS to easily iterate and scale the solution to handle thousands of scans a day.

Learn how you can use AWS machine learning and AI services to address specific business outcomes. In this session you will learn how to address common use cases such as personalized recommendations, modernizing contact centers, intelligent search, fraud detection, forecasting, and intelligence document processing.

Artificial intelligence and machine learning (AI/ML) is already a strategic priority for Financial Services customers across the industry. It is fast becoming the technology that helps Financial Services companies differentiate by creating new products, services, and business models to enhance customer experience and gain competitive advantage. In this session, you will learn how you can leverage AWS AI services like Amazon Comprehend to enhance customer experience in the financial industry. We will look at the key consideration for financial industry customers to build ML solutions and how to use Applied AI services while keeping these considerations in perspective.

Organisations across all sectors and industries require processing documents, both physical and digital, and require extracting text and understanding its content. Examples include mortgage processing in banking, claims management in insurance, medical records in healthcare, news aggregation and many others. This session will present a serverless solution for processing and extracting information from documents, built using AWS services like Amazon Textract and Amazon Comprehend. The solution is capable of handling both handwritten and typed documents, and the underlying model can be trained with custom datasets to allow custom entity recognition or classification for customer-specific use cases.

Forget the “new normal.” It’s time for the “not normal,” where automated and intelligent observability can fully enable teams to work more efficiently, with answers, not just data. In this session, learn best practices and hear valuable examples from customers who are leading the way in applying AI to cloud observability, enabling higher-quality software releases at scale. This presentation is brought to you by Dynatrace, an AWS Partner.

Developers, start your engines! This session provides developers of all skill levels an opportunity to get hands-on with AWS DeepRacer, including exciting announcements and enhancements coming to the league in 2021. Learn about the basics of machine learning and reinforcement learning (a machine learning technique, ideal for autonomous driving). In this session, you can build a reinforcement learning model and submit that model to the AWS DeepRacer League, for a chance to win prizes and glory.

Increasing environmental complexity makes understanding performance issues and debugging incredibly hard and it makes collecting that data for analysis even more difficult. Many times data is siloed, giving you a complete lack of actionable information. With logs, metrics, and tracing data living in different places, how do we get this mashup of seemingly disparate data together? OpenTelemetry! OpenTelemetry creates and collects telemetry data from your services and software, then forwards that data to a variety of analysis tools, providing you end-to-end observability to speed up performance troubleshooting. In this talk, we’ll introduce you to OpenTelemetry and answer frequently asked questions to help you get started.

Amazon EC2 offers the broadest and deepest platform to run workloads ranging from simple web apps to mission-critical workloads. Now you can pick from over 400 EC2 instance types to get the best price-performance for any workload. Attend this session if you want to understand what instance type choices are right for your workloads. We will also be joined by Jonathan Harvey, the Head of Common Platform for ITV, who will share with us his experience and lessons learnt on their cloud migration and modernization journey. We will talk about how ITV was able to grow and optimize their compute capacity while maintaining the lowest total cost of ownership (TCO) by blending EC2 Spot Instances, On-Demand Instances, and Savings Plans.

Building and deploying web applications on AWS requires building appropriate network architecture to support desired application accessibility. Learn about the network building blocks provided by Amazon VPC which can be used to build connectivity - to and from the internet, across different VPCs in AWS environment, to and from on-premises systems over VPN and to non-VPC AWS services. First, we will demonstrate building the foundational networking constructs of Amazon VPC which includes configuring the VPC, subnets and security groups. Next, we will do a walkthrough of building the connectivity using AWS Internet and NAT gateways, application load balancers, peering connections, transit gateway, managed site to site IPSec VPNs and AWS VPC endpoints. This mid-level architecture build walkthrough is aimed at network administrators, developers and decision-makers interested in understanding the building blocks available with Amazon VPC.

With the West Midlands facing an air quality crisis, Birmingham received a UK government mandate to create a Clean Air Zone. This introduced a need to monitor congestion, but instead of starting from scratch, Transport for West Midlands saw the opportunity to repurpose the Automatic Number Plate Recognition data that was being captured by West Midlands Police. They didn’t use ninety-nine per cent of this data in crime prevention, but it was filled with information such as engine type and classification; perfect for building a clearer picture of the effects that congestion had on air quality. Using Amazon Kinesis, Amazon Simple Storage Service (Amazon S3), Amazon Athena, and Amazon Neptune, Transport for West Midlands use metrics from nearly 4.5 million records a day to provide near real-time analytics and forecasting for the highway network. This repurposing of available data to a 24/7 live feed reduced, costs by 75 per cent while increasing the amount of data from a sample size of one week per year. It currently has over 700 users across the West Midland Local Authorities, with an ambition to make the data available to the public and academic institutions. 

In this session, we will walk through the fundamentals of AWS Edge Networking with Amazon Route 53, Amazon CloudFront, AWS Global Accelerator, AWS WAF and AWS Shield. Participants will learn about how Edge Networking services help extend the benefits of the AWS global infrastructure to improve the end-user experience and security of their applications. We will then build a demo using a web application served using Amazon Cloudfront for improved end-user experience, protecting the application from attacks with AWS WAF rules, as well as learn how we can use Lambda@Edge to do customisations. IT decision-makers and developers curious about building or migrating customer-facing applications onto AWS should join this session to learn about features, benefits, and architectural considerations.

Managing file-based workloads on-premises is often complex, difficult to scale, and costly. Customers are moving to AWS fully managed file storage and hybrid storage solutions to simplify their application migration, speed up agility, and lower costs. In this session, we are going to learn about how our customers modernise their application on their windows file load with Amazon FSx for Windows and cover some of the benefits and use cases of FSx for Windows file server. Anup Raj Gopinathan (Sr. Solutions Architect, adidas) will join us and share how adidas leverage FSx for Windows file server to digitise their core 3D design capabilities at scale, which took months to process in on-prem environments.

Digital identity is one of the most important elements as you build in the cloud. It permeates through every user, workload, service, and API call, and is essential for building a robust, secure and scalable cloud environment. This session will look at the evolution of AWS access and identity management. We will talk about IAM Access Analyser, AWS Organizations, AWS Resource Access Management and AWS Single Sign-On, and how all these services together provide a simpler model to manage who can access what within your organisation.

As a developer, you understand how your code is running, you own the IP, implement processes to accelerate time to market, and use open-source code to get there. As the Ops team, you own the cloud footprint and are responsible for overcoming misconfigurations, tackling storage hygiene and ensuring your part of the shared responsibility model is upheld.

Can two opposing forces go from villains to heroes, together? Learn how organisations are using DevSecOps to break down silos, empower shared services, and support a self-serve developer model to maintain innovation and delivery.

Learn how GAMSTOP in the UK has been using AWS security Services to Protect their network and applications running on AWS. 

Learn how Leveris guarantees the security of their platform by using AWS services like Guard Duty and Security Hub in a multi-account environment used by security-sensitive customers. Hear from Eoin Fleming, Leveris CISO, on what the plan is to automatically respond to security threats and what AWS capabilities are used to reduce the risk of attacks.

IT operations or DevOps teams often need to provision and take operational actions on hundreds of applications. How can IT make operations management and governance easy and efficient, while also enjoying the freedom and speed of innovation that the cloud brings? We will see how to simplify operations and cloud governance. I will propose to create a mechanism based on the Amazon experience to reduce deployment failures, we will simulate a production issue and we will try to optimise the analysis of the root cause of this issue. Finally, we will set up an automatism to prevent this incident to happen again.

In this session, we will demonstrate how to level up security and operations tools, skills and processes to run with the same speed and agility enjoyed by developers. First, the session will dive deep on Shift-left v's Shift-Everywhere. Next, we dive deep into the risks facing developers and security teams who are adopting modern application development architectures. We move on to show you some solutions from Amazon, OpenSource and Partners to accelerate your security and operations teams. Finally, we demonstrate these solutions with practical examples to mitigate risks at speed and without friction.

There's no escaping the buzz about blockchain tech right now. The truth is blockchain technology is evolving rapidly. In this session, learn about what blockchain is, how it works and its enterprise use cases. We will talk about how AWS views blockchain technology and the features of our new service, Amazon Managed Blockchain, which makes it easy to build and manage scalable Hyperledger Fabric and Ethereum networks on AWS.

Customers are leveraging AWS IoT and the AWS Cloud to change the face of the industrial landscape. Regardless of where customers are in their IoT and data-driven journey, AWS IoT enables them to securely connect and manage devices, collect and analyse data from devices, and build and deploy solutions that unlock new possibilities and drive greater business value.

In this session, hear from one such pioneering customer Pirelli, as we dive deep into their journey with AWS IoT and how the AWS Cloud is unlocking value for their business.

Edge computing is the key enabler of transformation at the edge. Across a wide range of uses, like those requiring ultra-low latency compute or edge data processing, it saves lives, improves performance, and reduces costs in scenarios where near-real-time action is required. High-performance edge applications rely on the cloud for processing, analytics, storage, and machine learning, but also need to do some processing, like ML inference, close to where data is generated to deliver intelligent real-time responsiveness, and reduce the amount of data transferred—even when cloud connectivity is intermittent. This session covers how AWS edge computing solutions provide infrastructure and software that move data processing and analysis as close to the endpoint as required.

Seeing in obscured conditions such as night-time, heavy smoke and cloud cover from space enables customers to make quick decisions and respond to global crisis events. ICEYE uses AWS to operate its Synthetic Aperture Radar (SAR) satellite constellation, which provides government and commercial customers access to timely and reliable satellite imagery captured despite these obscured conditions. Learn how ICEYE uses AWS Ground Station, AWS storage, machine learning services, and high-performance computing in their end-to-end satellite solution architecture. You will also hear how they apply solutions to support customer use cases such as maritime domain awareness, insurance applications, and natural disaster response.

Building and deploying robotic software is a challenging and complicated process. This session covers AWS Robotics solutions that accelerate development, improve testing, and streamline robot fleet management. We cover how you can run a test case in simulation using AWS RoboMaker across a fleet of robots. Finally, we introduce how AWS RoboMaker WorldForge can help you to automate 3D world generation to simplify streamline testing and training of core robotic algorithms at scale.

A common way to protect and secure access to IoT devices is to use firewalls. Yet, accessing and managing devices deployed at remote sites, and behind firewalls that block all inbound traffic might be challenging. This often increases the complexity and the cost of device management, which involves technicians being sent onsite to connect to those devices, in order to troubleshoot them. AWS IoT Secure Tunnelling helps customers establish bidirectional communication to remote devices, over a secure connection that is managed by AWS IoT. Secure tunnelling does not require updates to your existing inbound firewall rule, so you can keep the same security level provided by firewall rules at a remote site.

We help thousands of customers in the process of transforming, migrating, and governing their enterprise application portfolio. Join us to learn from Max Watson, Head of Engineering at Dunelm, on how the UK’s largest homeware retailer achieved a large-scale digital transformation and built a microservices eCommerce platform using the AWS serverless portfolio. Their real-world experience and insights can help you execute your cloud transformation with confidence.

This session is designed for IT decision-makers and administrators who are thinking about the futures of their workforces in a post-COVID world. In this session, we share the latest innovations in virtualisation and the AWS vision for how you can enable your workforce to be secure and productive from anywhere, at any time. We will discuss with Sameera Alatawi, Director of IT at the American University of Bahrain, about how they are empowering students' and staff in the remote learning environment.

Learn how EcoOnline reinvented their digital foundations combining their private cloud with hyperscalable microservices, CI/CD's, infrastructure as code, continous compliance, machine learning competencies, DevOps and DevSecOps. The company is now able to adopt the most innovative technology services into their digital strategy across the company, empowering their new value creation to stay ahead in their market through close cooperation with their partners, Orange Business Services and AWS. Adopting Agile Operations and Innovation Labs, they significantly increased their operational efficiency and their competitiveness in their market. EcoOnline is an expert within the chemical industry and helps businesses within the Nordics, UK and Ireland to comply with complex regulations and ensure a safe workplace.

Organisations of all sizes can face challenges in their software supply chain, such as high costs of legacy software, drawn-out procurement cycles that inhibit innovation, and lack of visibility into software usage. This presentation explores how you can transform your modernisation approach using third-party software and data products combined with AWS services. AWS Marketplace and AWS Data Exchange work with AWS Control Tower to integrate third-party offerings into your environment, while procurement features help control costs and prioritise compliance. Learn how you can access 8,000+ products from 1,600 providers and pair AWS services with AWS Marketplace capabilities to support innovation.

Learn how Device42 facilitates safe, rapid migrations and delivers value throughout your entire transformation journey. A deep discovery of your entire IT landscape including physical, virtual, and cloud infrastructure, modern and legacy applications - together with their dependencies - provides end-to-end visibility to de-risk and accelerate any migration process. Device42 feeds discovered data into AWS Migration Evaluator, to create a business case with resource utilisation metrics including storage insights and cost modelling to inform any migration strategy. Device42 is also integrated with many other migration tools to fuel your transformation and modernisation efforts well into the future.

Learn how to build a 100% cloud contact centre, that allows you to meet your business goals of customer satisfaction and operational excellence. We will follow the journey of a business and one of their customers, to understand how to build a contact centre and succeed in each of the steps.

Legacy enterprise workloads are the backbone of most businesses, delivering critical services like financial services, employee productivity, data management and processing, resource planning, people management, and more. Planning for the migration and modernization of these workloads is an important component of any complete digital transformation strategy. In this session, we will discuss VMware Cloud on AWS and how it could rapidly extend and migrate your VMware environment to the AWS cloud, VMware’s preferred hybrid cloud option for vSphere workloads. Participants will experience a demo of the service, which will include an initial build of the environment before illustrating how vSphere workloads can be migrated non-disrupitevly using Hybrid Cloud Extension (HCX). IT decision makers and professionals curious about building or migrating VMware environments onto AWS should join this session to learn about the features, benefits, and migration capabilities. 

Au cours de cette session, vous apprendrez comment les développeurs peuvent tirer parti du code d'infrastructure et d'AWS CDK pour écrire, tester et gérer vos ressources d'infrastructure de manière réutilisable et évolutive. Vous allez voir dans une démonstration pratique comment développer et déployer une application et son infrastructure de bout en bout, depuis zéro, jusqu'à un environnent de production avec AWS CDK.

De nombreuses pratiques de l'ingénierie logicielle peuvent et devraient être appliquées au développement de fonctions Lambda: Single Responsibility Principle (SOLID), You Ain't Gonna Need It (YAGNI), Keep It Simple Stupid (KISS). Durant cette session, vous découvrirez les différentes façons d'appliquer ces principes en tirant partie des services Serverless AWS, et avec le minimum de code, parfois même sans Lambda.

Les applications modernes basées sur les conteneurs aident les organisations du monde entier à innover plus rapidement tout en réduisant les coûts et en augmentant la résilience opérationnelle et la sécurité. Dans cette session, Vincent Mercier, SRE de Qonto, nous explique comment ils ont pu mettre à l'échelle leurs applications avec Kubernetes sur AWS et comment, en tirant parti de DevOps et des services gérés, ils accélèrent le développement de solutions qui répondent au mieux aux besoins de leurs clients.

Dans le contexte d’une fédération d’entreprises, AXA Group Operations a mis en oeuvre une solution novatrice de gestion des organisations, entités et comptes AWS. Jerome Chemit, AWS executive manager, partage l’experience acquise par les équipes AXA ces 3 dernières années. Il insiste sur l’importance de la conception des fondations qui sont aujourd’hui un accélérateur dans l’adoption des usages.

Comment bénéficier du duo Cloud and OpenSource à l'aide d'AWS ? Au cours de cette session, vous decouvrirez comment AWS utilise, contribue et innove dans le monde OpenSource. Nous parlerons des choix que vous aurez a faire en matière de logiciels Open Source et comment deployer ces derniers à l'échelle. Nous presenterons egalement une démo de quelques unes des solutions OpenSource, comme AWS CDK et JDK8. En participant a cette session, vous decouvrirez la stratégie Open Source AWS et son engagement à favoriser la croissance et l'innovation de la communauté et des projets OpenSource ; nous vous partagerons egalement comment vous pouvez participer, notemment en collaborant avec AWS pour developper une expertise OpenSource au sein de votre entreprise.

Nos clients dans le domaine du calcul intensif (High Performance Computing) souhaitent pouvoir se concentrer sur l’innovation autour de la recherche, du développement et de la production sans avoir à se soucier de contraintes amenées par des infrastructures traditionnellement installées et opérées sur site.

Nous vous invitons à découvrir avec cette démonstration comment utiliser des instances Amazon EC2 et orchestrer des services AWS afin d’exécuter vos applications HPC les plus exigeantes. Que cela soit pour le calcul de dynamique des fluides (CFD), la modélisation et simulation des réservoirs, les prévisions météorologiques ou encore la recherche pharmaceutique, vous apprendrez comment nos clients utilisent la flexibilité et la capacité virtuellement illimité d’AWS afin d’exécuter leur simulations les plus complexes.

Les données augmentent de façon exponentielle. Elles proviennent de nouvelles sources, sont de plus en plus diversifiées et doivent être consultées et analysées en toute sécurité par un nombre illimité d'applications et de personnes. Dans cette session, vous apprendrez comment les entreprises peuvent extraire plus de valeur de leurs données grâce à l'architecture Lake House et ses cinq pilliers: un data lake passant à l'échelle, une gouvernance unifiée, des mouvements de données transparents, des services spécialisés, et une optimisation des coûts et de la performance. A travers une démonstration, vous verez comment capturer sans effort les données depuis des systèmes operationels vers des systèmes analytiques pour en extraire l'information qui fera la différence.

Nos clients nous disent que les datewarehouses cloud sont moins coûteux, plus souples, plus innovants et plus rapides que les solutions hébergées sur site. Nombre d'entre-eux adoptent l'approche "lake house" pour tirer le meilleur des architectures datalake et datewarehouse. Dans cette session, découvrez comment tirer parti du cloud pour obtenir de meilleures performances sur votre datewarehouse avec un coût optimisé, et comment innover dans la valorisation de vos données.

Vous êtes nombreux à entreproser vos données et à construire vos data lakes sur le cloud. Au final, comment offrir de l'interactivité sur ces données à vos utilisateurs métiers ? Venez à cette session technique pour découvrir comment Amazon QuickSight vous permettra une connection facile à vos données et la création rapide de tableaux riches et interactifs. Amazon QuickSight sera l'outil de choix pour vos utilisateurs pour analyser vos données de manière approfondie.

Amazon SageMaker aide les data scientists et les développeurs à préparer, créer, entraîner et déployer rapidement des modèles de machine learning (ML) de haute qualité en rassemblant un large ensemble de fonctionnalités spécialement conçues pour le ML. Dans cette session, vous apprendrez comment AXA Belgique a pu profiter de ces fonctionnalités pour donner agilité et excellence operationelle aux équipes de data scientists, en automatisant une partie du travail des conseillés AXA. 

Venez découvrir comment utiliser le machine learning et les services d’intelligence artificielle d’AWS pour résoudre en quelques clics les défis majeurs liés à l’activité de votre entreprise.

Des organisations de tous les secteurs et industries ont besoin de traiter des documents, que ce soit physiques ou numériques, et ont besoin d'en extraire du texte et de comprendre son contenu. Par exemple, on peut penser au traitement des dossiers d'hypothèques dans le secteur bancaire, la gestion des réclamations dans les assurances, les dossiers médicaux dans les soins de santé, l'agrégation de nouvelles et bien d'autres. Découvrez une solution “serverless” pour le traitement et l'extraction d'informations à partir de documents, construite à l'aide de services AWS tels qu'Amazon Textract et Amazon Comprehend. La solution est capable de gérer à la fois des documents manuscrits et tapés, et le modèle de machine learning sous-jacent peut être entraîné avec des ensembles de données personnalisés afin de permettre la reconnaissance ou la classification d'entités personnalisées pour des cas d'utilisation spécifiques.

Au cours de cette session, nous aborderons les services fondamentaux du réseau périphérique de AWS comme Amazon CloudFront, AWS Global Accelerator, Amazon Route 53, AWS WAF et AWS Shield. Vous apprendrez comment ces aident à étendre les bénéfices de l’infrastructure mondiale de AWS afin d’améliorer l’expérience cliente et sécuriser les applications.

Une démonstration vous montrera comment améliorer les performances d'une application web avec Amazon CloudFront, la protéger des attaques avec AWS WAF ainsi qu'apprendre à utiliser Lambda@Edge afin de personaliser votre application.

Les performances des applications et l'optimisation des coûts de stockage peuvent nécessiter différentes approches en fonction de la latence des applications et des modèles d'accès. En assistant à cette session, vous apprendrez les principales considérations relatives au stockage des données dans les classes de stockage Amazon S3 en fonction des modèles d'accès et de vos besoins en performances. Découvrez comment tirer le meilleur parti d'Amazon S3 pour optimiser les coûts, améliorer les performances et gérer vos données à grande échelle.

Dans cette session, nous aborderons la mise en place des éléments réseaux sur AWS qui permettent à une application hébergée sur AWS d’accéder à Internet, à votre datacenter et aux services AWS. Nous ferons un rapide rappel de la configuration d’un VPC, en commençant par la sélection de votre adressage IP et de la configuration des sous-réseaux dans les différentes zones de disponibilité. Ensuite nous configurerons l’accès Internet et un exemple de connectivité inter VPC avec AWS transit Gateway. Nous mettrons aussi en place de la connectivité vers votre datacenter. Nous regarderons aussi la mise en place de point de terminaison VPC pour accéder à des services AWS de manière privée. Cette session de niveau intermédiaire est destinée aux administrateurs réseau, aux développeurs et aux personnes qui souhaitent comprendre comment construire une architecture réseau avec AWS.

En assistant cette session, vous apprendrez comment simplifier les opérations et la gouvernance cloud de vos applications d’entreprise pour vous concentrer sur la construction de nouvelles fonctionnalités. Je vous propose à travers un exemple, de créer un mécanisme basé sur l’expérience Amazon pour diminuer les incidents de déploiement. Nous simulerons un incident de production et nous essaierons d’optimiser la recherche de la cause racine de cet incident. Enfin, nous mettrons en place un automatisme pour que cet incident ne se reproduise plus.

Durant cette session, vous apprendrez à detecter des menaces avec Amazon GuardDuty, mettre en place des notifications grâce à AWS Chatbot et centraliser le suivi et vos actions avec AWS Security Hub.

Durant cette session, vous apprendrez à configurer des règles AWS WAF et à les gérer de manière centralisée avec AWS Firewall Manager pour protéger vos applications Web. Une démo vous montrera une application Web ayant quelques vulnérabilités Web courantes, telles que des injections SQL (SQLi) et du Cross Site Scripting (XSS), que nous protegerons en déployant des règles AWS WAF, puis utiliserons ces mêmes règles comme base de gouvernance sur l'ensemble d'une organisation AWS multi-comptes grâce au service AWS Firewall Manager.

In der Session zeigen wir, wie IaC in AWS umgesetzt werden kann. Wir werfen einen Blick auf AWS CloudFormation und das AWS Cloud Development Kit (CDK). Die Session zeigt anhand einer praktischen Demonstration, wie mit Hilfe des CDK Infrastruktur definiert und automatisch ausgeliefert werden kann.

Unternehmen beschäftigen sich in vielen Bereichen und auf vielen Ebenen mit Integrationsfragen. Lose gekoppelte Integration bietet nicht nur die Möglichkeit, voneinander unabhängige Systeme zu entwerfen, die individuell entwickelt und betrieben werden können, sondern auch die Verfügbarkeit und Zuverlässigkeit des Gesamtsystems zu erhöhen. Asynchrones Messaging ist ein hierzu passender Ansatz und die Fachliteratur stellt Standard-Muster bereit, um Integrations- und Konversations-Szenarien mit asynchronem Messaging zu entwerfen. Für Entwicklungsteams liegt es jedoch oftmals nahe - und erscheint vermeintlich einfacher - auf synchrone und enger gekoppelte Integrations-Optionen zurückzugreifen - beispielsweise, wenn eine vorhandene monolithische Anwendung in mehrere Services zerschlagen werden soll. Daher wird in dieser Session anhand von konkreten Anwendungsfällen gezeigt, wie Integrations- und Konversations-Muster, die auf asynchronem Messaging basieren, implementiert werden können. Insbesondere wird gezeigt, dass der Einsatz von serverless und cloud-native Services dies stark vereinfachen und damit die Go-To-Market Zeit verringern kann.

Weltweit modernisieren Firmen ihre Applikationen mit Container-Orchestrierung in der Cloud. Damit können sie ihre Innovationsgeschwindigkeit ankurbeln, den Betrieb ausfallsicherer gestalten und gleichzeitig Kosten sparen. In dieser Session erzählt Christian Beneke, Tech Lead Infrastructure bei Trade Republic, wie sie es geschafft haben, mit Kubernetes auf AWS ihre Workloads zu skalieren, ständig wiederkehrende Tasks zu automatisieren und die Entwicklungsgeschwindigkeit zu erhöhen.

Um die Voraussetzungen für eine erfolgreiche Migration in die AWS-Cloud zu schaffen, sind die richtigen Rahmenbedingungen von zentraler Bedeutung. In dieser Session wird Oliver Schönherr, IT-Architekt bei Solarisbank, seine Erfahrungen teilen und auf Themen wie Sicherheit, Betrieb, Governance und Ausfallsicherheit sowie Skills, Prozesse und Tools eingehen, die für die Vorbereitung auf eine Migration entscheidend sind. Nach dieser Session werden Sie das notwendige Wissen haben, um Anwendungen in die Cloud zu migrieren und dort zu betreiben.

Wie hat es SimScale geschafft eine Cloud-basierte Plattform für technische Simulationen aufzubauen, die Kunden begeistert? Johannes Probst, Mitgründer und Teamleiter von drei Softwareentwicklungs-Teams bei SimScale, gibt Einblicke in die einzigartigen Herausforderungen, die HPC in der Cloud mit sich bringt und wie sie gelöst werden können.

Jeder trägt die Verantwortung, seine Bedürfnisse so zu erfüllen, dass zukünftige Generationen nicht darin beeinträchtigt sind, ihre eigenen Bedürfnisse zu erfüllen. Das ist Nachhaltigkeit. In dieser Präsentation werfen wir einen Blick auf das Shared-Responsibility-Modell für ökologische Nachhaltigkeit und betrachten die Auswirkungen auf die Umwelt als Optimierungsproblem. Wir beantworten die Frage nach geeigneten Metriken und potenziellen Architekturen in der Cloud sowie nach gängigen Praktiken der Cloud-Governance, die bei der Priorisierung von Verbesserungsmaßnahmen innerhalb einer großen Anwendungslandschaft helfen. Abschließend demonstrieren wir Architekturmuster, mit denen Sie die Nachhaltigkeits-Ziele Ihres Unternehmens erreichen und gleichzeitig die Auswirkungen auf andere nicht-funktionale Anforderungen gering halten.

Daten sind das Herzstück jeder Anwendung, und AWS bietet die größte Auswahl an speziell entwickelten Datenbanken für alle Ihre Anforderungen, damit Sie schneller wachsen, sparen und innovieren können. Sie können aus mehr als 15 zweckbestimmten AWS-Datenbank-Engines wählen, die verschiedene Datenmodelle unterstützen und es Ihnen ermöglichen, anwendungsfallbezogene, hoch skalierbare, verteilte Anwendungen zu erstellen. In dieser Session werden wir über die Vorteile gemanagter Datenbanken sprechen und darüber, wie Sie die richtige Engine für ihren Einsatszweck auswählen. Um mehr Kontext und Klarheit zu schaffen, werden wir uns eine Demonstration von drei Datenbank-Engines ansehen, die für drei verschiedene Arten von Anwendungen verwendet werden.

Schnelle Analysen sind entscheidend für den Geschäftserfolg, denn Sie können nicht schnell handeln, wenn Ihre Dashboards veraltet sind. Aber wie halten Sie die Latenzzeit niedrig, wenn Ihr Wachstum durch die Decke geht? In dieser Session zeigen Felix Gessert und Wolfram Wingerath von Baqend, wie sie mit Hilfe von AWS ihren Analytics-Stack von 5 auf 100 Millionen Benutzer in einem einzigen Monat hochskaliert haben und dabei von Batch-Verarbeitung auf Real-Time Stream-Analyse umgestiegen sind. Gemeinsam mit dem AWS Prototyping-Team hat Baqend seinen Analytics-Stack von Grund auf erneuert, in dem ein auf Batching basierendes, ETL-lastiges Athena-Warehouse durch eine kontinuierlich laufende Kinesis-Data-Analytics Anwendung ersetzt wurde. Neben den rein technischen Entscheidungen in diesem Prozess zeigt diese Session ausserdem, wie eine solche Transformation organisatorisch implementiert werden kann.

Viele unserer Kunden nutzen Open-Source-Anwendungen wie Spark, Hadoop, Hive, Kibana und Kafka um Daten zu analysieren. Häufig wünschen sie sich einen einfacheren Weg um Hardware und Software bereitzustellen, zu verwalten und auf Dauer zu warten. In dieser Präsentation lernen Sie, wie Sie schnell und kostengünstig Erkenntnisse aus Daten gewinnen, indem Sie Prozesse wie Volltext-Suche, Logdatei-Analyse, oder auch Echtzeit-Datenverarbeitung zu AWS-Diensten wie Amazon EMR Studio und Amazon Managed Workflows für Apache Airflow (MWAA) migrieren.

Amazon SageMaker hilft Data Scientists und Entwicklern, hochwertige Modelle für maschinelles Lernen (ML) schnell vorzubereiten, zu erstellen, zu trainieren und bereitzustellen, indem es eine breite Palette von Funktionen zusammenbringt, die speziell für ML entwickelt wurden. In dieser Session erhalten Sie zunächst einen schnellen Überblick über SageMaker und anschließend eine praktische Demonstration, wie Sie schnell und einfach mit SageMaker starten können.

Unternehmen in allen Branchen benötigen die Verarbeitung physischer und digitaler Dokumente, insbesondere werden hier skalierbare Text-Extraktion und -Analyse gefordert. Buildsimple K.I. unterstützt Unternehmen bei der Vereinfachung und Digitalisierung von solchen Dokumentprozessen. In dieser Session wird Rene Weseler, Head of Builsimple, uns einige ihrer technischen Herausforderungen erläutern und wie die AWS Services Amazon Textract, Amazon Comprehend und Amazon Sagemaker genutzt werden um einen KI-basierten, skalierbaren Service zur Trennung, Klassifikation und Entitäts-Extraktion in einem SaaS Modell bereitzustellen.

Künstliche Intelligenz und maschinelles Lernen (KI/ML) haben längst strategische Priorität in der Finanzdienstleistungsbranche. Diese Technologien helfen Unternehmen dabei, sich durch die Entwicklung neuer Produkte, Services und Geschäftsmodelle zu differenzieren. Sie hilft die Customer-Experience zu verbessern und Wettbewerbsvorteile zu erzielen. In dieser Session lernen Sie, wie Sie AWS-KI-Services wie Amazon Comprehend nutzen können, um die Customer-Experience in der Finanzbranche anzureichern. Wir werden uns die wichtigsten Gesichtspunkte für Kunden aus der Finanzbranche zum Aufbau von ML-Lösungen betrachten und wie Sie Applied AI-Services nutzen können.

In dieser Session beschäftigen wir uns mit Amazon Simple Storage Service (S3), dem Cloud-Speicher, der seit nunmehr 15 Jahren Standards in Bezug auf Performance, Skalierbarkeit, Verfügbarkeit und Interoperabilität setzt. Unser Fokus liegt auf Erfahrungen aus der Praxis wie hohe Performance und möglichst geringe Kosten auch bei ständig wachsenden Datenvolumen erreicht werden können.

Amazon EC2 bietet über 400 EC2-Instanztypen, um für jede Workload das beste Preis-Leistungs-Verhältnis zu erzielen. In dieser Session demonstrieren wir anhand einer Server-Flotte, wie Sie den passenden Instanztyp ermitteln und die Möglichkeiten von Intel- und ARM-basierten CPUs nutzen können. Außerdem zeigen wir Ihnen, wie Sie Performance und Kosten optimieren, indem Sie EC2-Spot-Instanzen, On-Demand-Instanzen und Compute-Savings-Plans kombinieren.

Das Betreiben von dateibasierten Speicherlösungen in On-Premises-Rechenzentren ist oft komplex, schwer zu skalieren und kostenintensiv. Viele unserer Kunden suchen nach einfachen, komplett gemanagten Speicherlösungen die ihnen helfen, Kosten zu sparen und gleichzeitig die Performance und Skalierbarkeit Ihrer Datenspeicher erhöhen. Gemanagte und hybride Speicherlösungen von AWS, wie Amazon Elastic Block Store (EBS), Amazon Elastic File System (EFS) oder Amazon FSx for Windows File Server helfen bei der Modernisierung, Migration und Vereinfachungen von Anwendungsarchitekturen und operativen Aufgaben. Amazon EBS bietet hochperformanten Blockspeicher für Ihre Workloads. Amazon FSx for Windows File Server basiert auf Microsoft Windows Server und bietet einen voll verwalteten Speicher für Windows-basierte Business-Anwendungen. Amazon EFS ist ein voll gemanagtes, performantes NFS-basiertes Dateisystem. In dieser Session schauen wir uns neben einer Einführung in die verschiedenen Speicherlösungen von AWS vor allem Amazon EFS genauer an. Sie lernen, wie Sie Amazon EFS für Ihre Workflows optimal nutzen, wie Sie Backups und Datensicherheit gewährleisten sowie Skalierung und Performance passend für Ihre Anwendung nutzbar machen.

Digitale Identität ist eines der wichtigsten Elemente der cloud-basierten Entwicklung. Jede/r Nutzer/in, Workload, Service, und API-Call kommt mit ihr in Berührung. Sie ist ist essenziell für die Entwicklung robuster, sicherer und skalierbarer Systeme. In dieser Präsentation beschäftigen wir uns mir der Verwaltung der digitalen Identität in AWS, genauer mit Identity und Access Management. Dabei legen wir den Fokus auf vier Produkte: IAM Access Analyzer, AWS Organizations, AWS Resource Access Management und AWS Single Sign-On. Wir zeigen, wie Sie mit Hilfe dieser Komponenten eine zentrale Frage innerhalb Ihrer Organisation einfach beantworten können: Wer hat worauf Zugriff?

In dieser Session lernen Sie, wie Sie AWS Multi-Account-Umgebungen mit intelligenter Threat-Detection und durchgängiger Überwachung zentral absichern können. In einer praktischen Demonstration zeigen wir, wie Sie Bedrohungen mit Amazon GuardDuty erkennen, Benachrichtigungen mit AWS Chatbot versenden sowie mit AWS Security Hub eine zentrale Überwachung Ihrer Accounts umsetzten können.

In dieser praktischen Session lernen Sie, wie Sie zentral mittels AWS Firewall Manager und AWS Web Application Firewall (WAF) Sicherheitsregeln implementieren und Angriffe auf typische Schwachstellen einer Web-Anwendung (z.B. SQL Injection, Cross Site Scripting, fehlende Cross Site Request Forgery-Token oder Path Traversal) blockieren können.

In questa sessione vediamo come per le aziende sia divenuto fondamentale poter sviluppare rapidamente applicativi ricchi di funzionalità avanzate, per poter soddisfare le esigenze sempre più elevate dei propri utenti. Analizziamo questi requisiti e vediamo una dimostrazione pratica di come sia possibile implementare in modo rapido ed efficace applicativi innovativi, sfruttando le risorse e le funzionalità messe a disposizione dal cloud quali autenticazione gestita, database scalabili ed API moderne con funzionalità di sincronizzazione in real-time tra diversi client e dispositivi. Per realizzare l’applicazione usiamo tecnologie come React per il front-end web, AWS AppSync per la parte di API, Amazon DynamoDB per il database e AWS Amplify per orchestrare la creazione la gestione delle risorse nel cloud in modo totalmente trasparente.

Grazie all’adozione del serverless computing molte aziende di tutto il mondo, da startup ad enterprise, sono in grado di innovare riducendo i costi e la gestione operativa delle infrastrutture nel cloud. In questa sessione ospitiamo Gianluca Bozzurra di Vini Franchetti, che ci racconta come anche un’azienda vitivinicola con limitate risorse IT è stata in grado di adottare rapidamente tecnologie serverless come AWS Lambda, Amazon API Gateway e Amazon Cognito per automatizzare la gestione infrastrutturale, ottimizzare i tempi di elaborazione dati, ridurre i costi ed accelerare lo sviluppo di nuove soluzioni per il proprio business.

Le applicazioni moderne basate su container stanno aiutando le organizzazioni di tutto il mondo ad innovare più rapidamente, riducendo i costi e aumentando la resilienza operativa. In questa sessione Stefano Flamia, CTO di Chili, ci racconta come riescono a scalare le loro applicazioni con Kubernetes su AWS e come sfruttando DevOps e servizi gestiti stiano accelerando lo sviluppo di soluzioni che soddisfino al meglio le esigenze dei loro clienti.

In questa sessione esploriamo l'insieme di progetti e prodotti open-source che sono parte integrante di AWS e vediamo come il mondo open source viene integrato e gestito all’interno di AWS. Condividiamo come AWS collabora con i progetti e i maintainer open-source e come parte di questi progetti vengono creati e gestiti all’interno di AWS, oltre ai servizi che sono essi stessi dei progetti open-source. Un altra parte molto importante del mondo open source è legata anche agli strumenti che supportano sviluppatori, sistemisti e data scientist per aumentare la produttività. La sessione include anche una dimostrazione pratica di uno strumento completamente open-source chiamato AWS Cloud Development Kit (CDK), che permette di creare e gestire le risorse cloud in modo semplice sfruttando Python e VSCode.

Le aziende stanno adottando il cloud di AWS a ritmo rapido per ridurre i costi, diventare più agili e innovare più velocemente. Anche se la maggior parte dei carichi di lavoro può essere facilmente migrata sul cloud, alcuni di questi rimangono on-premise o nelle appliance aziendali per ragioni legate alla latenza, alla necessità di elaborare i dati in locale o per soddisfare ai requisiti di residenza dei dati. Questo introduce il bisogno di eseguire le proprie elaborazioni utilizzando la stessa infrastruttura, le stesse API, e gli stessi strumenti in qualunque ambiente - dal cloud all’on-premises. In diretta dal suo sito di produzione, Gabriele Ballarin, Chief Information Officer di Unox, ci spiegherà quali strategie sta implementando e quali sfide sta affrontando Unox, leader mondiale nella realizzazione di forni professionali, per innovare grazie all’ecosistema di AWS, connettendo centralmente più di 10mila unità di forni altamente tecnologici.

Dalla fluidodinamica alle previsioni meteo, fino alla scoperta di nuovi farmaci: sempre più scienziati, ricercatori e ingegneri usano l’High Performance Computing (HPC) per eseguire simulazioni più accurate e complesse. In questa sessione pratica vedremo come i clienti AWS utilizzano la capacità e la flessibilità virtualmente illimitata del cloud per innovare, beneficiando delle nuove istanze Amazon EC2 e orchestrando i servizi di AWS al fine di ottimizzare le prestazioni delle applicazioni più esigenti.

In questa sessione esploriamo il caso d’uso di Infocert e approfondiamo come hanno accelerato la migrazione del database al cloud e i vantaggi ottenuti in termini di scalabilità, prestazioni, gestione dell'infrastruttura e costi passando da database legacy a una soluzione open-source grazie a database gestiti. Inoltre, vediamo come l'ampio portafoglio AWS di oltre 15 database purpose-built ha consentito al team di sviluppatori di Infocert di scegliere il database giusto per soddisfare specifici requisiti applicativi e di business. Infine, parliamo di come il team di sviluppatori di Infocert sia riuscito ad innovare ed essere autonomo nello sviluppo di nuove applicazioni, sfruttando solo le risorse necessarie, ed allo stesso tempo a configurare e scegliere facilmente gli strumenti appropriati per la risoluzione dei problemi.

I servizi di analisi dei dati di AWS permettono di implementare in maniera veloce ed efficiente un data lake in modalità completamente serverless con benefici in termini di costi, agilità ed integrazione – senza dover gestire alcun server o cluster. In questa sessione introduciamo i servizi e le soluzioni a supporto di questa architettura e vediamo come brumbrum ha implementato un sistema completo di data analytics su AWS, dall’ingestion alla fruizione del dato utilizzando servizi come Amazon S3 e Amazon Athena.

Le aziende di tutto il mondo stanno investendo in iniziative di trasformazione dei dati, di migrazione dei dati al cloud, modernizzazione dei data warehouse, e creazione di architetture lake house. Ma com’è possibile utilizzare questi strumenti per supportare le decisioni di business? In questo approfondimento tecnico, ricco di dimostrazioni pratiche, vediamo come Amazon QuickSight permette ad analisti ed utenti aziendali di connettersi ai dati e creare rapidamente dashboard ricche ed interattive, e con funzionalità intelligenti di machine learning integrate.

La moderazione dei contenuti è un aspetto fondamentale per le comunità online per far sì che il contenuto generato dagli utenti come commenti o articoli rispetti regole generali (contenuto illegale o inappropriato) o regole specifiche della comunità stessa. Moderare il contenuto manualmente con intervento umano è un processo lento, oneroso e soggetto ad errori che può essere automatizzato, velocizzato e migliorato con il machine learning. In questa sessione vediamo come Calciomercato.com, portale di notizie calcistiche, ha automatizzato la moderazione dei commenti sul proprio sito web utilizzando Amazon SageMaker, servizio gestito che semplifica il processo di preparazione, sviluppo, training e deployment di modelli di machine learning (ML) fornendo un ampio set di funzionalità appositamente sviluppate per il ML.

In questa sessione introduciamo alcuni dei più comuni scenari di business in cui intelligenza artificiale e machine learning possono essere d’aiuto, come analisi dei documenti, ricerca intelligente e consigli personalizzati. Vedremo anche come Il Sole 24 Ore - gruppo editoriale italiano - abbia usato i Servizi AWS per dare nuova vita ad ALF, l’assistente virtuale che aiuterà i professionisti dell’area fiscale a ricercare informazioni puntuali tra milioni di documenti e a trovare risposte alle proprie domande in pochi secondi.

Dall'elaborazione di report finanziari alla gestione dei sinistri nel settore assicurativo, dalle cartelle cliniche nel settore sanitario fino all'aggregazione di notizie e l’elaborazione di documenti fisici o digitali. Tutti questi casi d'uso partono dall'estrazione di testo e dalla comprensione del contenuto, che è una necessità per le aziende di molti settori. In questa sessione esploriamo una soluzione moderna che permette l'elaborazione e l'estrazione di informazioni da immagini e documenti senza dover gestire alcun server o librerie, sfruttando servizi gestiti come Amazon Textract e Amazon Comprehend. Inoltre, approfondiamo la possibilità di gestire contenuti di documenti scritti a mano e di come creare un modello per consentire il riconoscimento o la classificazione di entità personalizzate per casi d'uso specifici.

In questa sessione vediamo come sia possibile ottenere alte affidabilità, sicurezza e prestazioni per i carichi di lavoro più critici utilizzando Amazon EBS (Elastic Block Store), per esempio per applicazioni enterprise e database relazionali e non relazionali. Inoltre, vediamo come le soluzioni di File-system condivisi gestiti fornite da Amazon EFS e Amazon FSx per Windows possono aiutarvi a migrare velocemente, risparmiare e mantenere in alta affidabilità le cartelle condivise tramite protocolli SMB o NFS, garantendo al tempo stesso elasticità e flessibilità in termini di risorse e prestazioni.

In questa sessione vediamo anche come TeamSystem - gruppo italiano che include prodotti come Fattura in Cloud, Studio Cloud e Teamsystem Enterprise - utilizza le nuove istanze Graviton2 con le nuove CPU con architettura ARM per migliorare le performance a ridurre i costi, come hanno affrontato il processo di razionalizzazione della flotta di istanze, come gestiscono le applicazioni basate su container e come affrontano la scelta tra le opzioni di acquisto a disposizione (Istanze Riservate, Saving Plans, Spot).

Quali servizi e funzionalità sono a tua disposizione per implementare una rete virtuale nel cloud? In questa sessione introduciamo i costrutti chiave alla base del networking su AWS, e dimostriamo in modo pratico come questi possano essere combinati per realizzare una soluzione di rete resiliente, modulare e scalabile utilizzando servizi come Amazon VPC ed AWS Transit Gateway.

Come gestire in modo semplice le identità ed i loro permessi su diversi account? In questa sessione introduciamo le best practice applicabili su multi-account e raccontiamo come Docebo ha standardizzato la gestione di identità in un unico punto centrale per proteggere il loro ambiente mentre i workload sono in continua crescita.

Come è possibile proteggere il tuo ambiente multi-account, i tuoi carichi di lavoro e i tuoi dati AWS in maniera centralizzata? In questa sessione dimostrativa vediamo come rilevare le minacce grazie ad Amazon GuardDuty, come ricevere notifiche da AWS Chatbot, come centralizzarle ed intervenire con AWS Security Hub.

Come si possono proteggere rete ed applicazioni nel passaggio da on-premises al cloud AWS? In questa sessione discutiamo Insieme al CISO di Autostrade per l’Italia di come utilizzare i servizi e le integrazioni di sicurezza di AWS per affrontare al meglio una migrazione verso il cloud.

Компании, которые следуют быстро меняющимся тенденциям разработки мобильных и веб-приложений, обеспечивают превосходное качество обслуживания клиентов. В этой сессии мы рассмотрим тенденции и узнаем, как быстрее выпускать инновационные приложения. AWS Amplify предоставляет решения с минимальным объёмом кода для создания масштабируемых комплексных приложений. Пользовательский интерфейс администратора AWS Amplify — это визуальный интерфейс для моделирования данных, добавления аутентификации, авторизации и управления пользователями и группами. Мы посмотрим, как люди без опыта разработки и даже без аккаунта AWS могут получить доступ к данным, необходимым для разработки и управления приложениями. После настройки пользовательский интерфейс администратора автоматически подготавливает необходимую серверную инфраструктуру, такую как Amazon Cognito, AWS AppSync и Amazon DynamoDB, с помощью AWS CloudFormation.

Компании по всему миру снижают издержки и повышают гибкость, разрабатывая приложения на основе бессерверной архитектуры. В рамках данной сессии мы расскажем о последних инновациях в бессерверном стеке.

По результатам сессии вы получите представление о преимуществах модели разработки на основе бессерверных подходов — как для построения новых, так и для модернизации существующих приложений.

Использование подхода “инфраструктура-как-код” (IaC) в практиках разработки программного обеспечения имеет ряд преимуществ: ресурсы можно реплицировать для создания нескольких окружений разработки и тестирования, а инфраструктура легко поддаётся тестированию и аудиту, поскольку такой подход позволяет версионировать описание ваших окружений вместе с остальным программным обеспечением.

На этой сессии мы расскажем, как использовать IaC с помощью AWS CloudFormation и AWS Cloud Development Kit (CDK). Мы обсудим передовые методы описания, тестирования и поддержки шаблонов инфраструктуры и, наконец, на практическом примере покажем, насколько легко применять эти подходы.

Посетив эту сессию, вы узнаете о семи стратегиях миграции приложений в облако, называемых 7R. Мы детально обсудим одну из них - Rehost, где нам поможет сервис AWS Application Migration Service (AWS MGN) на основе сервиса AWS CloudEndure Migration. При использовании AWS MGN, вы можете быстро добиться результатов и одновременно снизить стоимость владения, осуществив миграцию в  облако AWS без изменений и при минимальном периоде недоступности для ваших приложений. Во время демонстрации мы покажем, как подготовить и затем осуществить миграцию приложений на примере SQL Server в облако AWS. Вы увидите, что это требует минимального периода недоступности и избавляет от сложных процессов ручной настройки.

На сессии мы расскажем о том, как AWS использует и вносит свой вклад в инновации в программное обеспечение с открытым исходным кодом. Мы обсудим, как выбрать подходящее программное обеспечение с открытым исходным кодом для вас, как развернуть программное обеспечение с открытым исходным кодом (CDK) и покажем некоторые решения с использованием AWS CDK. Мы рассмотрим стратегию AWS и стремление стимулировать рост и инновации с помощью сообществ и проектов, связанных с открытым программным обеспечением, а также опишем, как вы можете участвовать, в том числе путём сотрудничества с AWS для построения этих проектов.

Клиенты с задачами по высокопроизводительным вычислениям (HPC) хотят модернизировать подход к исследованиям, разработке и развёртыванию рабочих нагрузок в производственной среде без ограничений традиционных дата-центров. В этой сессии вы узнаете, как использовать новые инстансы Amazon EC2 и другие сервисы AWS для запуска даже самых требовательных HPC-приложений. Мы расскажем о том, как клиенты из разных областей, таких как вычислительная гидродинамика, имитационное моделирование резервуаров, предсказание погоды, а также открытие новых лекарств, используют практически неограниченную масштабируемость и гибкость облака AWS для выполнения даже самых крупных и сложных симуляций.

Данные являются ключевым аспектом почти каждого приложения, и AWS предлагает самый широкий выбор специализированных баз данных для всех ваших потребностей, чтобы вы могли эффективнее экономить, расти и быстрее внедрять инновации. Вы можете выбирать из более чем 15 специализированных баз данных AWS, которые позволяют создавать распределённые приложения с широкими возможностями масштабирования для решения практических задач.

В этой сессии мы поговорим о преимуществах полностью управляемых сервисов баз данных и о том, как правильно выбрать базу данных. А для лучшего контекста и большей ясности мы продемонстрируем три базы данных, используемых для трёх различных типов приложений.

Облачные хранилища данных дешевле, проще в использовании и быстрее, чем традиционные локальные хранилища данных, но при этом имеют простой процесс миграции, который позволяет использовать ваши существующие навыки SQL. AWS рекомендует переходить к подходу хранения данных "lake house" , который сочетает в себе лучшее из двух подходов - хранилищ данных и озёр данных. Узнайте, как можно мигрировать в облако AWS, получить большую производительность и расширенную функциональность при одновременном сокращении расходов.

Всё больше клиентов инвестирует ресурсы в проекты по преобразованию данных, включая миграцию данных в облако, модернизацию хранилищ данных и создание озёр данных. Но как насчет последнего этапа — как построить взаимодействие с данными для конечных пользователей? Приходите на этот технический доклад, чтобы узнать, как Amazon QuickSight позволяет подключаться к данным и быстро создавать многофункциональные и интерактивные информационные панели с расширенными аналитическими функциями. Amazon QuickSight позволяет аналитикам глубже и детальнее понять и исследовать ваши данные, чтобы найти новые способы быть полезными вашим конечным пользователям.

Amazon SageMaker за счёт широкого спектра возможностей помогает специалистам по работе с данными и разработчикам в быстрой подготовке, обучении и развёртывании высококачественных моделей машинного обучения. SageMaker предлагает инструменты для каждого шага в процессе разработки для машинного обучения, включая маркировку и подготовку данных, создание признаков, определение статистического смещения, автоматизированное машинное обучение, хостинг, мониторинг и рабочие процессы. В этой сессии вы узнаете, как быстро начать использовать Amazon SageMaker.

Узнайте, как вы можете использовать сервисы машинного обучения и искусственного интеллекта от AWS для решения распространённых бизнес-задач. Из этого рассказа вы узнаете, как создать системы персонализированных рекомендаций, обнаружения мошенничества, прогнозирования, поиска аномалий и их причин в бизнес-показателях.

Узнайте, как с помощью сервисов AWS AI оценить интерпретируемость ваших моделей и выявить непреднамеренное искажение данных в таких отраслях как финансы, здравоохранение и страхование. Прозрачная и надёжная модель машинного обучения позволит вам получить дополнительную информацию о выводах, сделанных при помощи машинного обучения, чтобы выполнить требования регуляторов и укрепить доверие ваших клиентов.

В рамках этой сессии мы рассмотрим основы периферийной сети AWS с Amazon Route 53, Amazon CloudFront, AWS Global Accelerator, AWS WAF и AWS Shield. Участники узнают о том, как сервисы периферийной сети помогают расширить преимущества глобальной инфраструктуры AWS для улучшения взаимодействия с конечными пользователями и безопасности их приложений. Затем мы создадим в качестве демонстрации веб-приложение, обслуживаемое с помощью Amazon CloudFront, добавим безопасность с помощью правил AWS WAF, а также узнаем, как мы можем использовать Lambda@Edge для создания пользовательских сценариев. Лица, принимающие решения в области ИТ, и разработчики, которым интересно создавать или мигрировать приложения, ориентированные на клиентов в облаке AWS, могут присоединиться к нашей сессии, чтобы узнать о функционале, преимуществах и архитектурных особенностях.

Построение и поддержка большого локального файлового хранилища может быть непростой и дорогостоящей задачей. Необходимо обеспечить масштабирование, защиту данных и производительность. Полностью управляемые сервисы AWS для хранения файловых данных и гибридные решения для хранения данных упрощают эти задачи, ускоряют миграцию приложений в облако и снижают стоимость инфраструктуры. Amazon FSx for Windows File Server предоставляет облачное хранилище с доступом по протоколу SMB, а сервис Amazon EFS — это эластичное, полностью управляемое файловое хранилище с поддержкой протокола NFS. В этой сессии мы поговорим про FSx и EFS и на практике увидим, как создавать и монтировать файловые системы Amazon EFS, управлять доступом к данным, настраивать отказоустойчивость, резервное копирование и мониторинг.

На этой сессии мы создадим базовые сетевые структуры в облаке AWS и подключим серверы, развёрнутые в AWS, к Интернету, другим сервисам AWS, а также к датацентрам на земле. Сначала мы рассмотрим создание VPC, включая выбор диапазона IP-адресов, выделение подсетей в различных зонах доступности и создание групп безопасности. Затем мы настроим исходящее и входящее подключение к Интернету, подключение к VPC внутри AWS, частное сетевое подключение к удалённому датацентру через Интернет и частное подключение к сервисам AWS, не относящимся к VPC. Это пошаговое руководство по построению архитектуры среднего уровня предназначено для сетевых администраторов, разработчиков и менеджеров, которые хотят узнать о различных компонентах Amazon VPC, и их функциях. 

Цифровая идентификация является одной из важнейших частей при построении вашей инфраструктуры в облаке. В ней участвуют все пользователи, рабочие нагрузки, сервисы и API-вызовы, а также она является необходимым элементом при создании надёжной, безопасной и масштабируемой облачной среды. В этой сессии мы посмотрим на развитие инструментов для контроля доступа и управления идентификацией в AWS. Мы поговорим об IAM Access Analyzer, AWS Organizations, AWS Resource Access Manager и AWS Single Sign-On, а также о том, как все эти сервисы вместе обеспечивают более простую модель управления доступом в вашей организации.

DevOps-команды часто сталкиваются с необходимостью разворачивать и управлять сотнями приложений. Как же при помощи облака можно упростить и улучшить операционные процессы, не жертвуя свободой и скоростью инноваций? Мы покажем, как облегчить управление облачными ресурсами. На примере опыта Amazon я предложу механизмы уменьшения ошибок при развёртывании приложений. Мы симулируем возникновение ошибок и рассмотрим, как их можно проанализировать и понять причины их возникновения. Наконец, мы рассмотрим средства автоматизации для предотвращения повторения таких инцидентов.

На этой сессии вы узнаете, как централизованно настраивать правила AWS WAF и управлять ими в AWS Firewall Manager для защиты ваших веб-приложений от распространённых веб-уязвимостей. В рамках демонстрации мы покажем веб-приложение, содержащее некоторые распространённые веб-уязвимости, такие как внедрение SQL (SQLi) и межсайтовый скриптинг (XSS), которые мы исправим, развернув правила AWS WAF. Затем установим эти правила в качестве базового уровня безопасности для всей организации AWS с использованием AWS Firewall Manager.