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AWS EMEA Webinars

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  • Serverless Architectural Patterns and Best Practices
    Serverless Architectural Patterns and Best Practices Danilo Poccia, Technical Evangelist, AWS Recorded: Oct 18 2017 46 mins
    If you want to deploy your workloads without the burden of managing servers or operating systems, this webinar is for you. During the session, we will explore four re-usable serverless architectural patterns for supporting web apps, stream processing apps, batch processing apps, and automation apps. For each pattern, we provide a TCO analysis and comparison with the server-based equivalent. We also discuss the considerations and nuances associated with each pattern, with AWS customers sharing their experiences of deploying them. The information covered in the webinar is relevant for architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve agility.
  • SAP Solutions on AWS Overview
    SAP Solutions on AWS Overview Allan Knudsen, Business Development Manager, AWS Recorded: Oct 11 2017 44 mins
    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
    Deploying your Data Warehouse on AWS Ian Meyers, Head of CAT, DBS Outbound & Customer Prgrm, AWS Recorded: Oct 11 2017 58 mins
    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
    Microsoft SQL Server Deep Dive Julien Lepine, Principal Solutions Architect, Amazon Web Services Recorded: Oct 4 2017 54 mins
    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
    Getting Started with Managed Database Services on AWS Ian Robinson, Specialist SA: Analytics, EMEA, AWS Recorded: Sep 20 2017 61 mins
    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
    Best Practices for Microsoft Architectures on AWS Julien Lepine, Principal Solutions Architect, Amazon Web Services Recorded: Sep 6 2017 47 mins
    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
    Getting Started with Windows on AWS Julien Lepine, Principal Solutions Architect, Amazon Web Services Recorded: Jul 20 2017 46 mins
    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
    Getting Started with Microsoft SQL Server on AWS Julien Lepine, Principal Solutions Architect, Amazon Web Services Recorded: Jul 20 2017 45 mins
    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
    Software Security and Best Practices in the AWS Cloud Mike Morain, AWS Marketplace Solutions Architect Recorded: Jun 6 2017 29 mins
    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
    Think IoT and not Servers - the Power of the Serverless Analytics IoT platform Danilo Poccia, Technical Evangelist, AWS Recorded: May 31 2017 39 mins
    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

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