AWS Summit Online India
 13 MAY, 2020 - 9:00AM (IST)

Join us for AWS Summit Online India on Wednesday, 13 May 2020

AWS Summit Online is designed for executives and IT professionals looking to leverage the AWS Cloud to build and innovate at scale. Hear the very latest in opening and closing keynotes, an array of insightful breakout sessions featuring customer stories, and engage with AWS experts to get your questions answered live. Enhance your skills with hands-on learning, learn from inspiring demos in the Builders’ Zone and discover what AWS and Partner ecosystem can do for your business.

This free online conference is designed to educate you about AWS services; and help you design, deploy, and operate infrastructure and applications.

What to Expect

40+ Sessions across 10 Tracks
40+ Sessions across 10 Tracks
Experiential Zone
Experiential Zone
Live Chat
Live Chat
Resource Center
Resource Center
AWS DeepRacer League
AWS DeepRacer League

Join us on 13 May to build your own agenda on the event platform, and gain insights from a full catalogue of sessions that are most relevant to your job role, topic interest, and industry. These in-depth discussions will be delivered by AWS subject matter experts who will share best practices and real-world customer stories with you.

Migration
Migration
Enterprise
Enterprise
Machine Learning
Machine Learning
Data & Analytics
Data & Analytics
Startups
Startups
DevOps
DevOps
Why Attend?

Why Attend?

Whether you are recently-introduced to the cloud or an experienced user, learn how cloud technology can help your business transform – lowering costs, improving efficiency, and innovating at scale – at this free digital Summit. Get your questions answered by our AWS business and technical experts, and engage in virtual activities such as the Builders’ Zone and Skills Zone.

Who Should Attend?

Who Should Attend?

If you are a business decision-maker, look forward to a day of learning from an array of Introductory (Level 100) and Intermediate (Level 200) content. If you are an IT professional, solution architect, developer, engineer or system administrator, gain new skills and a deeper understanding of the greatest tech stacks on AWS with Advanced (Level 300) and Expert (Level 400) content.

Dr. Werner Vogels
Dr. Werner Vogels, Chief Technology Officer, Amazon.com

Dr. Werner Vogels is Chief Technology Officer at Amazon.com, where he is responsible for driving the company's customer-centric technology vision.

As one of the forces behind Amazon's approach to cloud computing, he is passionate about helping young businesses reach global scale, and transforming enterprises into fast-moving digital organizations.

Vogels joined Amazon in 2004 from Cornell University, where he was a distributed systems researcher. He has held technology leadership positions in companies that handle the transition of academic technology into industry. Vogels holds a PhD from the Vrije Universiteit in Amsterdam and has authored many articles on distributed systems technologies for enterprise computing.

Agenda & Session Description

60 mins Opening Keynote
Dr. Werner Vogels, Chief Technology Officer, Amazon.com
  • Innovation with Amazon
  • Enterprise
  • Migrate
  • Data, Database and Analytics
  • Machine Learning - Track 1
  • Machine Learning - Track 2
  • Modern Application Development
  • Developers
  • Building Applications at Scale
  • AWSome Day
  • Innovation with Amazon
  • 30 mins

    Using data and ML to innovate for customers (Level 100)

    Businesses today are recognizing the value of collecting real-time and historical data and using ML technology to innovate faster for customers, whether through helping online shoppers automate repeat purchases, creating advanced real-time recommendations for online gamers, or accelerating new product development. In this session, Glenn Gore, Worldwide Lead Solutions Architect, AWS, explores how businesses such as Amazon.com, Amazon Alexa, and Amazon Robotics use data and ML to innovate for customers.

  • Enterprise
  • 30 mins Realizing the business value of modernizing (Level 200)

    Most organizations know that they can achieve cost savings by moving to the cloud, but they often struggle to quantify benefits beyond cost. In this session, we introduce the AWS Cloud Adoption Framework (CAF) and explain how it can be used to quantify not only cost savings, but also the value of business agility, operational resilience, and staff productivity. By the end of this session, you should be able to describe the benefits of the cloud to different stakeholders across your organization and present a comprehensive value-based business case.
       
    30 mins Trends with data lakes and analytics (Level 200)

    In this session, you discover the key trends in analytics and data lakes. You also learn how AWS customers are leveraging analytics platforms to drive innovation, build data-driven products, and transform their customers’ experiences.
       
    10 mins Break
       
    30 mins Security best practices: The Well-Architected way (Level 200)

    As you continually evolve your use of AWS, it’s important to consider ways to improve your security posture and take advantage of new security services and features. In this session, you explore architectural patterns for meeting common challenges, learn about service limits, and hear some tips and tricks, as well as learn ways to continually evaluate your architecture against best practices. Automation and tools are featured throughout, and we also include code giveaways!
       
    45 mins Enterprise cloud migration meets application containerization (Level 300)

    In this session, learn how to build your application migration framework and pipelines centering on containerization. We show you how to assess and qualify your applications, build and refine your landing zones, create specific security baselines, and create migration pipelines leveraging Amazon ECR and Amazon EKS, two services that are part of the AWS container management portfolio.
       
    30 mins Cloud Operating Models for accelerated transformation

    In this session, learn how to adopt a Cloud Operating Model and accelerate your cloud transformation. Get insights on some of the effective Cloud Operating models (centralised, decentralised and distributed), how they affect organisational structures, and the role they play in digital transformation. Learn how training plays a role in your accelerated transformation. Uncover how to build and bootstrap a Cloud Center of Excellence (CCOE) including how it evolves as you transform your business in the adoption of cloud.
  • Migrate
  • 30 mins Transform with Microsoft on AWS (Level 200)
     

    According to IDC, nearly 60 percent of Windows servers in the public cloud run on AWS. In this session, you learn how to run Microsoft solutions on AWS, hear about key innovations, learn how to optimize licensing, and reduce end-of-support risk for Windows Server 2008 and SQL Server 2008. Come hear how leveraging these services for Microsoft on AWS can help you free up time to focus on transforming your workloads.
       
    30 mins Transformation starts with a business case for change (Level 200)
     

    The cloud has become the new normal for organizations of all sizes. But like any large-scale enterprise transformation project, migrating to the cloud requires a strong business case and justification. In this session, we take a step-by-step approach to building out a business case that justifies the move to AWS. We cover how to build the AWS cost base, address the typical non-cost benefits, and examine the components that make up the cost of change. Finally, we look at the end-to-end business case and explore key sensitivities that make the most significant commercial impact to your business case.
       
    10 mins Break
       
    30 mins Innovating Enterprise Workloads on AWS: SAP and Microsoft  (Level 100)

    Most enterprise customers across industries choose AWS as their Cloud platform. Goldman Sachs, Coca-Cola, Johnson & Johnson, Siemens, Shell, and Comcast are some of the thousands of enterprises using AWS to create new revenue streams, improve operational efficiency, and reduce business risks. Join us to hear on how you can run your SAP and Windows workloads on AWS to become more agile, innovative, and efficient. You can take can more easily take advantage of cutting-edge technologies like machine learning and IoT to derive new value from SAP, migrate Microsoft workloads on AWS faster and easier than ever and learn best practices to right size and migrate Windows based infrastructure inclusive of legacy applications.
       
    45 mins Accelerate transformation and unlock innovation (Level 200)

    Transformation is a common theme for enterprises adopting the cloud. But in order to realize the benefits that the cloud has to offer, your workforce needs the type of skills and experience that take time to build. In this session, learn what you can do to provide your workforce with an environment that enables transformation, and discover how other organizations have worked with the AWS Skills Guild to produce an agile and innovative community of builders to accelerate their journey to cloud.
  • Data, Database and Analytics
  • 30 mins Turn data into insights (Level 200)

    Data is incredibly valuable, but extracting it is getting harder as the volume, variety, and velocity of data continues to increase. AWS offers a comprehensive collection of services to store, organize, secure, and analyze your data. Come learn about modern data architectures and the variety of ways you can analyze your data to find the hidden insights that will help you succeed.
       
    30 mins Best practices for implementing a data lake in Amazon S3 (Level 200)

    Flexibility is key when building and scaling a data lake, and by choosing the right storage architecture, you have the agility to quickly experiment and migrate with the latest analytics solutions. In this session, we explore the best practices for building a data lake on Amazon S3, which allow you to leverage an entire array of AWS, open-source, and third-party analytics tools, helping you remain at the cutting edge. We also explore use cases for analytics tools, including Amazon EMR and AWS Glue, and query-in-place tools like Amazon Athena, Amazon Redshift Spectrum, Amazon S3 Select, and Amazon Glacier Select.
       
    10 mins Break
       
    30 mins Streaming and real-time analytics (Level 300)

    Learn how streaming technologies can help analyze data in real time, move data between systems in real time, or power data flows in next-generation applications and microservices architectures. This block covers both the Amazon Kinesis family of products and Amazon Managed Streaming for Apache Kafka (Amazon MSK), and it provides deep examples of how these streaming technologies can be used to easily build real-time and connected applications.
       
    45 mins Modernize your data warehouse (Level 200)

    Migrating an on-premises data warehouse to the cloud is often perceived as complex, but it doesn't have to be. In this session, we go over the steps you should take to correctly collect your requirements. We also cover AWS services that can assist you in migrating your data to Amazon Redshift, such as AWS Database Migration Service (AWS DMS), AWS Snowball, and AWS Snowmobile. We then dive into targeted use cases.
       
    30 mins Database freedom: Break free to save, grow, and innovate (Level 200)

    Hundreds of thousands of customers have broken free from old-guard database providers to run on AWS databases, which provide commercial-grade features at one-tenth the cost. AWS databases merge the flexibility and low cost of open-source databases with the robust enterprise features of commercial databases, freeing teams from the heavy lifting of database administration. In this session, learn how AWS databases were designed to support the scale, performance, and availability demands of modern globally distributed applications with microservices architectures. Discover how AWS databases enable companies to break away from the constraints of legacy database providers and scale, grow, and innovate faster.
  • Machine Learning - Track 1
  • 30 mins Streamlining machine learning operations (Level 200)

    Machine learning (ML) workflows are continuous and iterative processes that require adequate tools and practices in order for ML teams to be highly efficient. In this session, we discuss the common challenges faced when using ML systems in production, and we address these challenges by diving deep into the new features introduced for Amazon SageMaker, including Amazon SageMaker Debugger and Amazon SageMaker Model Monitor.
       
    30 mins Simplify and accelerate time-series forecasts & real-time personalization (Level 200)

    Deploying custom machine learning (ML) models to solve complex business challenges does not have to be hard. Based on ML technology that was perfected through years of use on Amazon.com, Amazon Forecast and Amazon Personalize enable developers with no prior ML experience to easily build accurate forecasting and sophisticated personalization capabilities into their applications. In this session, we show you how these two services, using a new automating process called AutoML, create individualized recommendations for customers and deliver highly accurate forecasts. Learn how both services run on fully managed infrastructure and provide easy-to-use recipes that deliver high-quality models, which you can use even if you have little ML experience.
       
    10 mins Break
       
    30 mins Best practices for building production-grade deep learning systems  (Level 300)

    AWS offers different paths for building and deploying scalable ML solutions. In this session, we dive deep into insights and best practices developed while implementing deep learning-powered applications. Discover how Amazon ML services, with a large number of complementary AWS technologies, provide a great platform to implement production-grade solutions, such as recommendation, forecast, and prediction engines.
       
    45 mins The effortless development of custom computer vision models (Level 300)

    Do you want to use computer vision in your projects, but find the idea of training a custom neural network model daunting? Have you used pre-trained computer vision models, but find that these models don’t cover every aspect of your use case? With Amazon Rekognition Custom Labels, you can easily customize existing computer vision models without needing an expert data scientist. Come learn how to prepare your dataset, customize Amazon Rekognition models with your data, and deploy these models in an application. We also discuss the difference between training computer vision models using Amazon Rekognition Custom Labels and doing so using Amazon SageMaker.
       
    30 mins Natural language for enterprise search (Level 300)

    As the ease and cost of storing data improves, more valuable data is being stored than ever before. Being able to effectively search these datasets for the right data is becoming critical to realizing the promise of data strategies. In this session, we share how to improve applications by adding highly accurate natural language search using Amazon Kendra. Join this session to find out how you can eliminate information silos by bringing your data sources together and how you can continually improve search results.
  • Machine Learning - Track 2
  • 30 mins Accelerating machine learning: Your role in the journey (Level 200)

    AL/ML holds the promise of transforming industries, increasing efficiencies, and driving innovation. Executives play an important role in accelerating the ML journey, but while many are prioritizing ML, going from idea to implementation can be daunting. In this session, we discuss ML implementation challenges and explain how AWS customers have successfully introduced ML to help achieve their business goals. We share how customers are working with AWS to align teams, drive ML excitement, provide developers with the right technical education, and identify appropriate use cases to start moving from idea to production.
       
    30 mins Fraud detection: Using ML to identify and manage fraudulent activities (Level 200)

    Amazon Fraud Detector is a fully managed service that you can use to identify potentially fraudulent online activities, such as online payment fraud and fake accounts. The service uses ML and 20 years of fraud detection expertise to automatically identify potentially fraudulent activity and enable you to catch more fraud faster. In this session, learn how to use Amazon Fraud Detector to create a fraud detection model with just a few clicks and no prior ML experience. Learn how to implement a customized fraud detection solution for online activities using ML, identify use cases, and implement changes to protect your company and customers.
       
    10 mins Break
       
    30 mins AWS DeepRacer: Train, evaluate, and tune your reinforcement learning model (Level 300)

    In this session, we introduce the basics of reinforcement learning and show you how to apply it to train your own autonomous vehicle models. You also learn how to test them in a virtual car racing scenario powered by AWS DeepRacer. Learn about the single-car time-trial format and the dual-car head-to-head racing challenges in the AWS DeepRacer 3D racing simulator. By the end of this session, you will be able to participate in the AWS DeepRacer League, where you can compete for prizes and meet other machine learning enthusiasts.
       
    45 mins DevOps for data science: Operationalizing ML (Level 400)

    Organizations are recognizing the importance of cross-functional expertise and efficient tooling when bringing AI-driven products to market. In this session, learn how to build an end-to-end pipeline for continuous delivery of ML models. Also learn how to automate MLOps with Amazon SageMaker and serverless workflows to build, deploy, and monitor models at scale to maximize the business value to your organization.
       
    30 mins All things AI/ML: Tying them together (Level 300)

    AWS offers comprehensive services to assist the work of developers, data scientists, and expert ML practitioners. In this session, explore how developers can start building complex multi-functional AI solutions that use reinforcement learning on AWS. We demonstrate these capabilities with a next generation-targeted advertising use case.
  • Modern Application Development
  • 30 mins Applications and operations modernization (Level 200)

    Traditional operations are designed for long-lived infrastructure, low-to-medium velocity of changes, and predefined scale. However, serverless applications have diametrically opposite characteristics.  In this session, we outline the top challenges in operating serverless applications on AWS, and we demonstrate key operations-focused design patterns using a combination of AWS services.
       
    30 mins Application integration patterns for microservices (Level 300)

    When you have a microservices architectural style, much of the communication between components is done over the network. In order to achieve what microservices promise, this communication must happen in a loosely coupled manner. In this session, we discuss some fundamental application integration patterns mostly based on messaging, and we connect them to real-world use cases in a microservices scenario. We also highlight the benefits that asynchronous messaging can have over REST APIs for communication between microservices.
       
    10 mins Break
       
    30 mins Kubernetes GitOps on AWS (Level 300)

    GitOps is an approach where infrastructure as code lives alongside your application in the same Git repository, and any changes are automatically deployed when they’re merged there. This session demonstrates how to implement this approach for AWS-managed backend resources together with front-end services running on Kubernetes out of the same Git repository. You learn how AWS resources are deployed and managed in an automated way and deployed on Kubernetes via Flux. If you’re a developer or operational team member looking for ways to leverage AWS with Kubernetes and Amazon EKS to build and run applications in a simpler and cohesive Git-driven experience, this is the session for you.
       
    45 mins The art of the state: Coordinating services using AWS Step Functions (Level 200)

    Microservice architectures give us increased agility and scale, but as they grow, they can become complicated to coordinate and debug. In this session, we review common service coordination patterns and how AWS Step Functions can help us quickly build fully managed and resilient workflows powered by easy-to-understand state machines.
       
    30 mins Delivering container-native applications without managing servers (Level 300)

    AWS Fargate is a completely serverless, container-native compute engine. It doesn’t require users to provision, scale, or manage servers, and it works with Amazon ECS and Amazon EKS. In this session, learn how to design and deliver a scalable and secure modern application on Fargate. Also learn how to use the AWS Cloud Development Kit (AWS CDK) to define reusable cloud components that compose the entire application architecture.
  • Developers
  • 30 mins

    Building serverless applications with AWS Amplify (Level 400)

    Since it was released in 2017 as a JavaScript library, AWS Amplify has become a great way to build, provision, and deploy web and mobile serverless applications on AWS. In this session, we explore what you can do with AWS Amplify. We provide examples of how to build application APIs, and we show you how to add advanced capabilities like AI/ML to your application. We also discuss best practices around developer tooling and workflow as well as CI/CD orchestration using the Amplify console.

       
    30 mins Supersonic serverless Java on AWS Lambda (Level 300)

    Java has typically been associated with cold starts, making it less attractive for serverless technologies such as AWS Lambda. Discover the changes in AWS Lambda such as V2N, and Provisioned Capacity, and how that improves start up time. Learn about the significant changes with the Oracle GraalVM that now allow for native compilation of Java, opening up a new realm of opportunities for Java and JVM languages such as Kotlin and Scala, beyond AWS.
       
    10 mins Break
       
    30 mins Purpose-built databases for modern applications (Level 300)

    Seldom can one database fit the needs of multiple distinct use cases. The days of the one-size-fits-all monolithic database are behind us, and developers are building highly distributed applications using many purpose-built databases. The world is changing, and the categories of databases continue to grow. We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. In response to these needs, developers now have the choice of relational, key-value, wide column, document, in-memory, graph, time-series, and ledger databases. Each solves a specific problem or group of problems. Come learn about AWS purpose-built databases that meet the scale, performance, and manageability requirements of modern applications.
       
    45 mins Building event-driven architectures with Amazon EventBridge  (Level 300)

    Many companies are adopting event-driven architectures to drive efficiencies and agility in their business processes, reduce the cost of integration, and unlock value with SaaS partners. In this session, we review how Amazon EventBridge helps developers build serverless event-driven architectures, enables them to easily define, share, discover, and process events across organizations and SaaS providers, and helps them integrate them across service and process boundaries. We show you how to use Amazon EventBridge Schema Registry and AWS Lambda Destinations to build end-to-end event-driven applications and accelerate developer productivity.
       
    30 mins CI/CD at scale: Best practices with AWS DevOps services (Level 300)

    You can increase development speed and encourage best practices by enabling CI/CD across your organization through repeatable patterns and infrastructure-as-code templates. This is achieved by creating and maintaining easily extensible infrastructure-as-code patterns for creating new services and automatically deploying them using CI/CD. Join us for a discussion on this and explore other key factors to consider when creating a DevOps culture and building DevOps capabilities for your applications on AWS.
  • Building Applications at Scale
  • 30 mins A path to event sourcing with Amazon MSK (Level 200)

    Event sourcing is an exciting pattern for thinking differently about how to process and store data. With Amazon Managed Streaming for Apache Kafka (Amazon MSK), it’s now even easier for development teams to run and operate applications that are built around event sourcing patterns. In this session, we demonstrate a Java-based personal banking website that uses Amazon MSK, AWS Fargate, and Amazon Elasticsearch Service (Amazon ES) to process data using event sourcing with eventual consistency. We explore the code and review some of the operational characteristics in the AWS Management Console.
       
    30 mins End-to-end IoT solution building (Level 200)

    The best IoT solutions work backwards from a desired outcome, such as a customisable consumer experience in a home, near-real time reactivity in a car, or increased machine uptime in a factory. Effectively translating from the right data and device inputs, to the actions and outputs that facilitate those outcomes requires a holistic strategic approach to IoT deployment. In this session, discover how to build an outcomes-focused IoT solution from end-to-end. Learn best practices and discover how to use the broad and deep range of AWS IoT services to design and launch your solution. Hear how to connect devices, collect, store and analyse device data, make data-driven decision-making and actions, and more. The session will also address security considerations and how to integrate with AI and ML for continuous improvement. You can expect to walk away with a holistic understanding of the right steps to take in order to build a smart and outcome-achieving IoT solution to meet customer needs.
       
    10 mins Break
       
    30 mins What's new in AWS file storage (300)

    In this session, we focus on innovations in the fast-growing AWS file-storage portfolio, including Amazon Elastic File System (Amazon EFS), Amazon FSx for Windows File Server, and Amazon FSx for Lustre.
       
    45 mins Amazon speeds desktop deployment for 25,000 global workers using Amazon WorkSpaces (Level 200)

    Designed for companies that have contingent workers, remote offices or frequent M&A, this session will help you understand how Amazon has taken on the challenge of providing virtual desktops to over 25K users around the world. Freed from the challenges of on-prem VDI solutions, Amazon IT uses Amazon WorkSpaces to quickly provision desktops in minutes supported by just two engineers - saving over $17M annually. This session will provide an overview of the WorkSpaces service, the Amazon IT use cases in production, and the architectural approach they chose to service 25K users. Learn why and how Amazon WorkSpaces has become “the de facto model for onboarding new remote employees, contract workers, and subsidiaries.”
       
    30 mins Tuning your cloud: Improve global network performance for applications (Level 300)

    Do you need to scale while also ensuring that you're getting the most out of your AWS services? This session provides you with the tools and techniques you need to analyze and understand your application’s network behavior, model and test different scenarios, and tune AWS services to meet your requirements. We focus on Amazon Linux, Amazon EC2 services, and AWS regional and backbone network infrastructure.
  • AWSome Day
  • AWSome Day
    20 mins Module 1: Introduction to the AWS Cloud

    In this session, you learn about the value of the cloud and the benefits of adopting the AWS Cloud.
       
    25 mins Module 2: Getting started with the AWS Cloud

    This session covers several of the key AWS categories and services. Learn what the services do, and understand when and how to use them.
       
    10 mins Break
       
    25 mins Module 3: Building in the cloud

    In this session, learn about the services that support building in the cloud and enable you to have scalable applications, monitor your resources, automate deployments, connect and share data, and streamline content delivery.
       
    30 mins Module 4: Secure your cloud applications

    This session covers how AWS approaches securing the cloud. Additionally, we cover the AWS Shared Responsibility Model, AWS access control and management, AWS security compliance programs, and the resources that are available to help you better understand AWS Cloud security options.
       
    30 mins Module 5: AWS pricing, support, and architecting

    This session covers the fundamentals of AWS Support plans, elements of pricing for several key services, and AWS architecting. We also discuss the AWS Well-Architected Framework and reference architectures for fault tolerance, high availability, and web hosting.
Level 100
Introductory
Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.
Level 200
Intermediate
Sessions are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.
Level 300
Advanced
Sessions dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution.
Level 400
Expert
Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations.

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40+ Sessions across 10 Tracks
Learn from AWS experts to accelerate your cloud journey and deep dive into architecture and code. Based on your business needs and technical expertise, build your own agenda from a broad range of topics: machine learning, migration, data and analytics, enterprise, DevOps and more.

Experiential Zone
Dive deep into architectures and technical stacks, and learn how AWS experts have helped solve real-world problems for organizations in industries and walk away with the ability to implement these or similar solutions in your own organization.

Live Chat
Q&A with AWS experts during sessions and live chat whilst you explore our zones

Resource Center
Learn more by downloading resources around AWS Marketplace, AWS Partner Network and more. Gain access to short tutorials, whitepapers, reference architectures, and customer case studies to expand your knowledge of AWS.

AWS DeepRacer League Summit Race
Compete for prizes and meet fellow machine learning enthusiasts, online. Racers will have the opportunity to join the DeepRacer online workshop and have a 1-to-1 chat with our machine-learning experts.