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What is AWS?

Are you new to cloud computing and would like to learn more about Amazon Web Services? If you intend to implement a project and would like to discover the basics of the AWS cloud, or if you are a business looking to evaluate cloud computing, attend this complimentary webinar to learn about:

• The history of AWS and how a global online retailer got into cloud computing
• The concepts of utility computing and elasticity and why these are important to a cost-effective, scalable and reliable IT architecture
• The AWS service portfolio and the global footprint on which it is delivered
• A model reference architecture and use cases to help you relate cloud based infrastructure to your own needs
• An overview of the security model operated by AWS
• Best practices for getting started in the AWS cloud

No experience is necessary, so join us for a high level overview of the

Amazon cloud services, and a discussion of how cloud computing can help accelerate innovation in your company.

Reasons to attend:
• Understand the basics of AWS cloud services
• Hear about the history of AWS
• Discover more about cloud computing and the basics of the AWS cloud including EC2, S3 and RDS
• Gain an understanding of the fundamental concepts of utility, elastic computing
• Learn how you can implement services from AWS to build efficient, cost-effective and reliable architectures

Who should attend:
• Anyone who is new to cloud computing and is looking for an introduction to the AWS Cloud
• Business managers who would like to gain a greater understanding of cloud technology
• Developers, IT Managers or Business owners seeking to understand the basics of AWS
Recorded Oct 1 2013 60 mins
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Presented by
James Brown, Business Development Manager, AWS
Presentation preview: What is AWS?
  • Channel
  • Channel profile
  • SAP Solutions on AWS Overview Recorded: Oct 11 2017 44 mins
    Allan Knudsen, Business Development Manager, AWS
    Many of the world’s largest enterprises are replacing their traditional SAP server environments with SAP running in the AWS Cloud. As well as increasing business agility and scalability, our cloud platform significantly reduces SAP infrastructure and support costs, simplifies operations and contributes directly to the bottom line.

    In this overview webinar, you will learn about:

    • How Fortune 50 companies are migrating their SAP workloads to AWS
    • How rapid resource provisioning in the cloud can help enterprises be more agile
    • How IT, and specifically SAP running in the cloud, can become a competitive differentiator, not just a cost centre
    • Typical SAP solutions and use cases deployed on AWS
    • Methods for accelerating SAP HANA:registered: implementations — break barriers and move to SAP HANA in less than 48 hours
  • Deploying your Data Warehouse on AWS Recorded: Oct 11 2017 58 mins
    Ian Meyers, Head of CAT, DBS Outbound & Customer Prgrm, AWS
    Data warehousing is a critical component for analysing and extracting actionable insights from your data. Amazon Redshift allows you to deploy a scalable data warehouse in a matter minutes and start to analyse your data right away using your existing business intelligence tools. It’s a fast, fully-managed, and cost-effective data warehousing system. You can analyse all your data using standard SQL and your existing Business Intelligence (BI) tools. Amazon Redshift also includes Redshift Spectrum, allowing you to directly run SQL queries against exabytes of unstructured data in Amazon S3. In this, you will learn how to migrate from existing data warehouses, optimise schemas and load data efficiently. We will also cover analytics tools to help you build visualisations, perform ad-hoc analysis and quickly get business insights from your data.

    Learning Objectives:

    • Discover best practices for building a data warehouse using Amazon Redshift

    • Learn to use Amazon QuickSight for Business Intelligence and AWS Glue for ETL.
  • Microsoft SQL Server Deep Dive Recorded: Oct 4 2017 54 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    Learn how SQL Server on AWS gives you complete control over every setting, without the maintenance, backup and patching requirements of traditional on-site solutions. Discover how to provision and monitor your SQL Server databases in both Amazon RDS and Amazon EC2, and how to optimise scalability, performance, availability, security and disaster recovery.
  • Getting Started with Managed Database Services on AWS Recorded: Sep 20 2017 61 mins
    Ian Robinson, Specialist SA: Analytics, EMEA, AWS
    Amazon Web Services (AWS) offers a wide range of database options to fit your application requirements. From database services that are fully managed and that can be launched in minutes with just a few clicks to self-managed databases running on EC2. AWS managed database services include Amazon Relational Database Service (Amazon RDS), with support for six commonly used database engines, Amazon Aurora, a MySQL and PostgreSQL-compatible relational database, Amazon DynamoDB, a NoSQL database service or Amazon Redshift, a petabyte-scale data warehouse service. AWS also provides the AWS Database Migration Service, a service which makes it easy and inexpensive to migrate your databases to AWS cloud.

    In this webinar, we take a closer look at the AWS database offerings and learn how to quickly select, set up, operate, and scale your database in the cloud.

    Learning Objectives:

    • Gain insights into the AWS database offering and know which to select for your workload.

    • Learn how the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) can facilitate and simplify migrating your business critical applications to Amazon Web Services.

    • Learn how Amazon DynamoDB Accelerator (DAX) can reduce Amazon DynamoDB response times from milliseconds to microseconds, even at millions of requests per second.

    • Hear from our partners like Version1 and Clckwrk who can help you in your journey towards Database freedom.
  • Best Practices for Microsoft Architectures on AWS Recorded: Sep 6 2017 47 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    Learn best practices for architecting fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, introduce DevOps concepts, automation, and repeatability.
  • Getting Started with Windows on AWS Recorded: Jul 20 2017 46 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    In our first Windows webinar, find out about the benefits of migrating your Windows workloads to AWS. During the session, we will explain why AWS makes your Windows applications faster, more reliable and more secure. He will also talk about how to bring your own license (BYOL), how to architect, deploy, and manage your Windows platforms on AWS.
  • Getting Started with Microsoft SQL Server on AWS Recorded: Jul 20 2017 45 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    In this webinar, we will explain how running SQL Server on AWS gives you complete control over every setting, without the maintenance, backup and patching requirements of traditional on-site solutions. Learn how to provision and monitor your SQL Server databases in both Amazon RDS and Amazon EC2, and how to optimise scalability, performance, availability, security and disaster recovery.
  • Software Security and Best Practices in the AWS Cloud Recorded: Jun 6 2017 29 mins
    Mike Morain, AWS Marketplace Solutions Architect
    Meet security-sensitive requirements faster. AWS provides several security capabilities and services to increase privacy and control network access that enable private or dedicated connections from your on-premises environment. In addition to the already secure AWS Cloud, AWS Marketplace offers industry-leading solutions to help you secure operating systems, platforms, applications and data that can integrate with existing controls in your AWS Cloud and hybrid environments.

    Learning objectives:

    - Learn about Marketplace security policies to ensure AWS Marketplace product security (Managed Catalog Operations)
    - Explore Security applications: vendor-enforced best-practices
    - Augmenting AWS Security offerings with Marketplace products.
  • Think IoT and not Servers - the Power of the Serverless Analytics IoT platform Recorded: May 31 2017 39 mins
    Danilo Poccia, Technical Evangelist, AWS
    Scaling IoT platforms to support production workloads can be difficult and time consuming. In this webinar, we’ll see how to design real-world IoT applications with a serverless back end. This kind of architecture can grow from very few to virtually unlimited users without any infrastructure or servers to manage. In particular, we’ll see an example of data collection from multiple IoT sensors, and how to process streaming data and present the results in a consolidated web dashboard.

    Learning objectives:

    - Learn how to implement data collection from IoT sensors using service such as AWS IoT
    - Leverage the Amazon Kinesis platform to analyse streaming data
    - Understand best practices to design a serverless architecture to process and consolidate results
  • AWS Security Best Practices Recorded: May 31 2017 37 mins
    Ian Massingham, Head of EMEA Evangelism, AWS
    AWS provides a range of security services and features that AWS customers can use to secure their content and applications and meet their own specific business requirements for security. This presentation focuses on how you can make use of AWS security features to meet your own organisation's security and compliance objectives.
  • Using Artificial Intelligence to Enhance Your Customer Experience Recorded: May 31 2017 38 mins
    Steve Turner, Solutions Architect, AWS
    Artificial Intelligence (AI) is enhancing many of the services that we interact with today. It can improve the customer experience of many services to make them more accessible, whilst providing information faster in a format that feels more natural.

    AWS provides a collection of highly scalable, pre-trained and pre-tuned managed AI services that you can adopt without any previous artificial intelligence or deep learning knowledge. In this webinar, Steve explains how to implement each of these services to improve the user journey for a flight booking and check-in system.

    The AWS solutions discussed here include Amazon Polly, which provides audio instructions for sight-impaired users and Amazon Rekognition, which provides an additional layer of security during the check-in process, matching users with customer data on file. Finally, Amazon Lex is used to enable customers to make future flight bookings using only their voices.

    Learning objectives:

    - Understand why you may wish to use AI in your applications today
    - Identify the common AI challenges and practical use cases for Amazon AI services
    - Implement Amazon AI services without a PhD or Data Science background
  • Generating Insights from IoT Data Using Amazon Machine Learning Recorded: May 24 2017 34 mins
    Neeraj Kumar, Solutions Architect, AWS
    If you knew the state of everything in the world, and could apply logic on top of the data, what problems could you solve?

    AWS IoT Services help you collect and send data to the cloud, make it easy to load and analyse that information, and provide the ability to manage your devices, so you can focus on developing applications that fit your needs.

    Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualisation tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.

    In this webinar, Neeraj explains how you can use AWS IoT and Amazon Machine Learning together to build smart IoT applications. We will demonstrate how to setup Amazon Machine Learning, create and train Machine Learning models for your applications. We will then use these models in our IoT Applications, in real time.

    Learning objectives:

    - Understand why you may use Amazon Machine Learning with IoT and how to set it up.
    - Understand how to use IoT Rules Engine
  • Architecting Security and Governance Across a Multi-Account Strategy Recorded: May 17 2017 56 mins
    Dave Walker, Specialist Solutions Architect – Security and Compliance, AWS
    Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation and billing requirements. In this session, we discuss considerations, limitations, and security patterns when building out a multi-account strategy. We explore topics such as identity federation, cross-account roles, consolidated logging, and account governance.

    At the end of the session, we present an enterprise-ready, multi-account architecture that you can start leveraging today.
  • Securing Enterprise Big Data workloads Recorded: May 17 2017 33 mins
    Pratim Das, Specialist Solutions Architect – Analytics, AWS
    Security of big data workloads in a hybrid IT environment often comes as an afterthought. This session discusses how enterprises can architect secure, big-data workloads on AWS. We cover the application of authentication, authorization, encryption, and additional security principles and mechanisms to workloads leveraging Amazon Elastic MapReduce (EMR) and Amazon Redshift.
  • 3 Easy Steps to Building Large-Scale IoT Architectures Recorded: May 10 2017 30 mins
    Jan Metzner, Specialist Solutions Architect IoT/Mobile in EMEA, AWS
    You have already started connecting your devices to AWS IoT. You can control them from the cloud. And you can collect, store and analyse data from all your devices in the cloud. So far so good, but you now need to build an architecture that will serve millions of users and devices concurrently.

    In this session, Jan will explain how you can build a real world IoT architecture that serves millions of devices. The talk will focus on user and device onboarding, device and user access management, message exchange and end user access to live and historical data stored in the cloud.

    Learning objectives:

    - Learn simple steps to build a real-world IoT architecture that serves millions of devices
    - Understand how to onboard and manage users and IoT devices and to access live and historial data in the cloud
  • How AI connects the dots for IoT - Augmenting IoT Solutions with AI Recorded: May 10 2017 38 mins
    Danilo Poccia, Technical Evangelist, AWS
    IoT can give you great insight into consumer behaviour and demand, helping to you create the innovative, revenue-generating services of the future. However, there are still lots of challenges around collecting data from devices, which often have significant limitations in terms of processing power, memory and interfaces.

    In this presentation, Danilo talks about how Amazon AI services can be used to augment device capabilities to make data collection, storage and analytics easier. He also considers how people can start interacting with machines in a more natural way, for example using natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS).

    Learning objectives:

    - Learn how to design IoT solutions using services such as AWS Greengrass and AWS IoT
    - Gain insights into practical use cases for Amazon AI services
    - Understand the possibilities of using AI from an IoT device
  • Compliance with AWS - Verifying AWS Security Recorded: May 10 2017 55 mins
    Dave Walker, Specialist Solutions Architect – Security and Compliance, AWS
    Does meeting stringent compliance requirements keep you up at night? Do you worry about having the right audit trails in place as proof?

    In this session, you will learn why building security in from the beginning saves you time (and painful retrofits) later, how to gather and retain audit evidence for instances that are only up for minutes or hours, and how to meet many compliance requirements and ensured that Amazon EC2 instances are immediately protected as they come online.
  • No Ransomware: How Europol, Dutch Police & AWS Deal with Cybercrime Recorded: May 3 2017 52 mins
    John Fokker, Raj Samani, Ben Potter
    Come to this session to learn how Europol, the Dutch police, Intel Security, and Kaspersky Lab have come together in an unprecedented collaboration of government and private-sector organizations. Open source ransomware code makes it easier to lock victims’ computers and encrypt their data, resulting in an alarming increase of cyber ransom. In response www.nomoreransom.org was created with the additional cooperation of AWS and Barracuda Web Application Firewall. Learn what tools are available to retrieve encrypted data and take a peek under the hood of this mission-critical website in the fight against ransomware. Perhaps because the site opposes ransomware, it has already received a number of attacks. Learn how AWS and Intel worked to rebuff these persistent assaults.
  • Automating Security Event Reponses Recorded: Apr 26 2017 46 mins
    Steve Turner, Solutions Architect, AWS
    With security-relevant services such as AWS Config, VPC Flow Logs, Amazon CloudWatch Events, and AWS Lambda, you now have the ability to automatically respond to and process security events that may occur within your AWS environment. These including prevention, detection, response, and remediation. This session covers the process of automating security event response using various AWS building blocks, gaining confidence in your coverage by proactively testing security monitoring and response effectiveness before anyone else does.
  • How Harvard Improves Scalable Cloud Network Security Recorded: Apr 26 2017 53 mins
    Leo Zhadanovsky, Thomas Vachon
    With constantly evolving threats across the Internet, Harvard University deployed a security network platform to mitigate cyber threats, current and future, to protect institutional and research data. By using multiple geographic locations, best of breed equipment, and network automation, Harvard provides visibility, availability, and multilayer protections for their cloud network. This talk discusses the benefits, considerations, and lessons learned from using their security network platform at the edge of the cloud. Learn how Harvard designed and deployed the platform, utilizing serverless architecture to orchestrate the solution from within to protect their most sensitive data and afford students, faculty, and staff the flexibility of cloud computing.
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AWS EMEA Webinars

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  • Title: What is AWS?
  • Live at: Oct 1 2013 9:00 am
  • Presented by: James Brown, Business Development Manager, AWS
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