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Journey Through the AWS Cloud: Building Powerful Web Apps

Web applications are a common 'green-field' first step for companies deploying into AWS. And when you are building 'afresh' you can leverage cloud fundamentals to build highly available, cost effective web-scale applications. In this webinar we will explain how to design for elasticity and availability within AWS using common web architecture as a reference point, discussing strategies for scaling, security, application management and global reach. If you want to know how to make your applications truly scale then join this webinar to learn more.

Reasons to attend:
• Understand the architectural properties of powerful, scalable and highly available applications in the Amazon cloud
• Learn about Amazon regions and services that operate within in them that enable you to leverage cloud scale
• Discover how to manage data with services like Amazon S3, DynamoDB and Elastic MapReduce to remove constraints from your applications as your achieve web-scale data volumes
• Hear about customer case studies and real-world examples of scaling from a handful of resources to many thousands in response to customer demand

Who should attend:

• Developers, operations, engineers and IT architects who want to learn how to get the best from their applications in AWS
Recorded Sep 10 2013 56 mins
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Presented by
James Brown, Business Development Manager, AWS
Presentation preview: Journey Through the AWS Cloud: Building Powerful Web Apps
  • Channel
  • Channel profile
  • Help Us Close the Digital Skills Gap with AWS re:Start Feb 28 2018 10:00 am UTC 60 mins
    Max Costick AWS, Peter Yarwood, Princes Trust & Sarah Ahmed Princes Trust
    After the successful launch of AWS re:Start in London, the program is coming to Manchester in March. Join us to hear to from Princes Trust and AWS about the importance of this initiative in the region and how your company can get involved to give a young person a potentially life-changing opportunity and in turn help close the digital skills gap.
  • Deep Dive on Apache MXNet with Python Recorded: Dec 13 2017 59 mins
    Julien Simon, AI Technical Evangelist, AWS EMEA
    In recent months, Artificial Intelligence has become the hottest topic in the IT industry. In this session, we’ll explain how Deep Learning — a subset of AI — differs from traditional Machine Learning, and how AWS customers use it to solve complex problems such as computer vision and natural language processing. Then, using Python code, we’ll show you how to start writing and training models using Apache MXNet, a popular library for Deep Learning which supports both CPUs and GPUs. Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art, pre-trained models.
  • Optimising SAP HANA on AWS Recorded: Dec 7 2017 60 mins
    Adam Hill, Specialist Solutions Architect - SAP, AWS EMEA
    Join this webinar to find out how Amazon Web Services (AWS) provides hyperscale cloud infrastructure for running SAP HANA. You will learn about the features of SAP and AWS that support multi-terabyte OLTP and OLAP workloads on HANA, which can be deployed quickly and simply using our QuickStart guides. Additionally, you will discover how to deploy large SAP HANA estates on AWS based on multiple migration options, and how to leverage AWS services to build flexible, redundant, high-availability architectures.

    Learning Objectives:

    - Discover which SAP HANA solutions are supported on AWS
    - Learn how to rapidly scale up and out with SAP HANA on AWS
    - Gain the knowledge needed to deploy SAP HANA on AWS with confidence
    - Find out how to optimise SAP HANA workloads for AWS
  • Best Practices for Building Your Data Lake on AWS Recorded: Nov 22 2017 62 mins
    Ian Robinson, Specialist SA: Analytics, EMEA, AWS
    Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.

    Join this webinar to discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.
  • Building Smart Applications with Amazon Machine Learning Recorded: Nov 15 2017 54 mins
    Neeraj Kumar, Enterprise Solutions Architect, AWS
    Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production, and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT, and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.
  • Deploying SAP Solutions on AWS Recorded: Nov 8 2017 61 mins
    John Studdert, Partner Solutions Architect - SAP, EMEA, Amazon Web Services
    Amazon Web Services (AWS) provides many options for running hyperscale SAP solutions in the cloud. Additionally, the majority of SAP on-premise products can be run on AWS, including all major RDBMS platforms and Windows/Linux OS platforms. Join this webinar to discover more about these capabilities and services, and how you can use them to deploy your SAP estate on AWS. You can also learn the benefits of running your SAP workloads on AWS and how our customers have leveraged this to achieve real-world business benefits.

    Learning Objectives:

    - Overview of SAP solutions supported on AWS
    - Overview of core AWS services for SAP workloads
    - Benefits of deploying SAP on AWS
    - Examples of how customers are running SAP workloads on AWS
  • AI & Deep Learning At Amazon Recorded: Nov 1 2017 46 mins
    Adrian Hornsby, Technical Evangelist, AWS
    Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to get started with Artificial Intelligence on the AWS Cloud. In particular, we will explore AWS cloud-native machine learning and deep learning technologies that address a range of different use cases and needs. These include AWS Lex, which provides natural language understanding (NLU) and automatic speech recognition (ASR); Amazon Rekognition, which provides visual search and image recognition capabilities; Amazon Polly for text-to-speech (TTS) capabilities; and Amazon Machine Learning tools. The session will also cover the AWS Deep Learning AMI, which lets you run deep learning in the cloud at any scale. You can use launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to run sophisticated AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.
  • Deep Dive on AWS Lambda Recorded: Oct 25 2017 85 mins
    Heitor Lessa, Specialist Solutions Architect, AWS
    Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or backend service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app. Join us on the day and take your serverless computing strategy to the next level.
  • Serverless Architectural Patterns and Best Practices Recorded: Oct 18 2017 46 mins
    Danilo Poccia, Technical Evangelist, AWS
    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 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
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    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.
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    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.
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    Ian Robinson, Specialist SA: Analytics, EMEA, AWS
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    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.
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    Julien Lepine, Principal Solutions Architect, Amazon Web Services
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    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
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  • 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.
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    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
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  • Presented by: James Brown, Business Development Manager, AWS
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