In this session, go on a journey from traditional, on-premises applications and architecture to pure cloud-native environments. This transformative approach highlights the steps required to incrementally move to AWS technologies while increasing resiliency and efficiency and reducing operational overhead. We challenge traditional understanding and show you how different types of workloads can be migrated using real-world examples. Additionally, we demonstrate how you can assemble and use the AWS building blocks available today to bolster your success and position yourself to inherit the power of our managed services, such as Amazon API Gateway, AWS Lambda, Amazon Cognito, Amazon S3, Amazon Simple Queue Service (SQS), Amazon SNS and our AWS CodeStar suite. You leave this session armed with the knowledge you need to begin your own voyage towards serverless architecture.
Disney's Magic The Story of Cloud Transformation - ARC206 - re:Invent 2017Amazon Web Services
Creating a comprehensive, accelerated cloud strategy for a complex or federated organization requires a disciplined approach—one that balances the need for centralized governance with the opportunity to innovate across all engineering segments within the enterprise. In this session, will follow the Walt Disney Company’s journey to create an initial cloud value hypothesis and cloud business case, and then develop a structured approach towards cloud migrations and a "cloud-first" operating model. Attendees learn more about the key implications, risks, and considerations of the company’s cloud transformation program; see examples of reference architectures and implementation guides; and understand the required activities that contributed to the success of the program. The patterns presented are broadly applicable to complex organizations with global aspirations to make the journey to the Cloud.
Session sponsored by Accenture
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
The document discusses building serverless websites using AWS Lambda@Edge. It provides an overview of Lambda@Edge and how it can be used with Amazon CloudFront to customize content delivery and generate responses at the edge. Specific examples covered include customizing content based on device type or location, A/B testing using origin selection, redirecting unauthenticated users, and aggregating content from multiple sources to generate personalized responses. The document argues that many features that currently require backend servers, such as authentication, personalization, and dynamic content, could potentially be moved to the edge using Lambda@Edge.
This panel focuses on the racial digital divide. Panelists discuss the pipeline, recruiting, hiring, and retention—and share stories on what it means to be underrepresented in this industry. They also discuss strategies for overcoming both microaggressions and systemic challenges.
Zombie Annihilation Using AWS Big Data - ABD328 - re:Invent 2017Amazon Web Services
The AWS Signal Corps has built the beginning of a data lake, but their colony was infected before they could finish. In this workshop, we pick up where they left off. We discover and organize the various datasets using AWS Glue, query against them using Amazon Athena, and empower business users through Amazon QuickSight to analyze the data without having to write SQL. Because some of the data being streamed into the data lake is coming in real time through Amazon Kinesis Firehose, we add real-time analytics using Kinesis Analytics. Lastly, we run Spark analytics using Amazon EMR, which is connected to the AWS Glue Data Catalog. We perform advanced Spark analytics using a Zeppelin Notebook.
ARC311_Serverless Encoding at Scale with Content Moderation via Deep Learning...Amazon Web Services
With more companies entering the OTT market, AWS sees customer demand for ways to decrease the time it takes to get content into their users’ hands, while increasing operational efficiency and lowering IT infrastructure costs. Using deep learning-based image analysis can provide users actionable feedback about the content they view. When combining a new serverless architecture approach using Amazon Elastic Transcoder with AWS’ deep learning technology Amazon Rekognition, companies can provide near real-time, on-demand encoding of assets and content moderation. This session covers serverless versus virtualized infrastructure, handling encoding jobs with AWS Lambda, encoding dynamic media assets with Elastic Transcoder (or Elemental), moderating content with Amazon Rekognition, and storing metadata with Amazon DynamoDB. We also provide a demo to test a production-ready serverless encoding architecture.
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
DVC304_Compliance and Top Security Threats in the Cloud—Are You ProtectedAmazon Web Services
Compliance is necessary and a good thing. However, many compliant companies are still getting breached. In this talk, we discuss the importance of using a risk model to figure out the biggest threat to your business and mitigation and monitoring tactics to guard against these high-risk threats. We also dive into a real-world example of achieving Payment Card Industry Data Security Standard (PCI-DSS) compliance in under a year; we share architecture and design patterns; and we discuss what worked and what didn't. Leave this session knowing what the top cloud attack vectors are and how to protect yourself by using AWS services to build a fully automated, highly flexible and secure environment.
This session is part of the re:Invent Developer Community Day, six community-led sessions where AWS enthusiasts share technical insights on trending topics based on first-hand experiences and knowledge shared within local AWS communities.
Security is paramount for media storage and workloads and can directly impact a studio's bottom line. As core media workloads move to the cloud, it’s imperative to examine the security implications of a multi-tenant public cloud environment in light of various asset classifications, content production, and delivery scenarios, as well as content handling during production workloads. In this session, we address questions and concerns about security in the cloud in the context of tier-1 (pre-released) studio content, as well as the MPAA. We highlight a studio's journey to meet Marvel’s security requirements and run a tier-1 content workflow in the cloud and discuss what it took to approve the environment on AWS.
Disney's Magic The Story of Cloud Transformation - ARC206 - re:Invent 2017Amazon Web Services
Creating a comprehensive, accelerated cloud strategy for a complex or federated organization requires a disciplined approach—one that balances the need for centralized governance with the opportunity to innovate across all engineering segments within the enterprise. In this session, will follow the Walt Disney Company’s journey to create an initial cloud value hypothesis and cloud business case, and then develop a structured approach towards cloud migrations and a "cloud-first" operating model. Attendees learn more about the key implications, risks, and considerations of the company’s cloud transformation program; see examples of reference architectures and implementation guides; and understand the required activities that contributed to the success of the program. The patterns presented are broadly applicable to complex organizations with global aspirations to make the journey to the Cloud.
Session sponsored by Accenture
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
The document discusses building serverless websites using AWS Lambda@Edge. It provides an overview of Lambda@Edge and how it can be used with Amazon CloudFront to customize content delivery and generate responses at the edge. Specific examples covered include customizing content based on device type or location, A/B testing using origin selection, redirecting unauthenticated users, and aggregating content from multiple sources to generate personalized responses. The document argues that many features that currently require backend servers, such as authentication, personalization, and dynamic content, could potentially be moved to the edge using Lambda@Edge.
This panel focuses on the racial digital divide. Panelists discuss the pipeline, recruiting, hiring, and retention—and share stories on what it means to be underrepresented in this industry. They also discuss strategies for overcoming both microaggressions and systemic challenges.
Zombie Annihilation Using AWS Big Data - ABD328 - re:Invent 2017Amazon Web Services
The AWS Signal Corps has built the beginning of a data lake, but their colony was infected before they could finish. In this workshop, we pick up where they left off. We discover and organize the various datasets using AWS Glue, query against them using Amazon Athena, and empower business users through Amazon QuickSight to analyze the data without having to write SQL. Because some of the data being streamed into the data lake is coming in real time through Amazon Kinesis Firehose, we add real-time analytics using Kinesis Analytics. Lastly, we run Spark analytics using Amazon EMR, which is connected to the AWS Glue Data Catalog. We perform advanced Spark analytics using a Zeppelin Notebook.
ARC311_Serverless Encoding at Scale with Content Moderation via Deep Learning...Amazon Web Services
With more companies entering the OTT market, AWS sees customer demand for ways to decrease the time it takes to get content into their users’ hands, while increasing operational efficiency and lowering IT infrastructure costs. Using deep learning-based image analysis can provide users actionable feedback about the content they view. When combining a new serverless architecture approach using Amazon Elastic Transcoder with AWS’ deep learning technology Amazon Rekognition, companies can provide near real-time, on-demand encoding of assets and content moderation. This session covers serverless versus virtualized infrastructure, handling encoding jobs with AWS Lambda, encoding dynamic media assets with Elastic Transcoder (or Elemental), moderating content with Amazon Rekognition, and storing metadata with Amazon DynamoDB. We also provide a demo to test a production-ready serverless encoding architecture.
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
DVC304_Compliance and Top Security Threats in the Cloud—Are You ProtectedAmazon Web Services
Compliance is necessary and a good thing. However, many compliant companies are still getting breached. In this talk, we discuss the importance of using a risk model to figure out the biggest threat to your business and mitigation and monitoring tactics to guard against these high-risk threats. We also dive into a real-world example of achieving Payment Card Industry Data Security Standard (PCI-DSS) compliance in under a year; we share architecture and design patterns; and we discuss what worked and what didn't. Leave this session knowing what the top cloud attack vectors are and how to protect yourself by using AWS services to build a fully automated, highly flexible and secure environment.
This session is part of the re:Invent Developer Community Day, six community-led sessions where AWS enthusiasts share technical insights on trending topics based on first-hand experiences and knowledge shared within local AWS communities.
Security is paramount for media storage and workloads and can directly impact a studio's bottom line. As core media workloads move to the cloud, it’s imperative to examine the security implications of a multi-tenant public cloud environment in light of various asset classifications, content production, and delivery scenarios, as well as content handling during production workloads. In this session, we address questions and concerns about security in the cloud in the context of tier-1 (pre-released) studio content, as well as the MPAA. We highlight a studio's journey to meet Marvel’s security requirements and run a tier-1 content workflow in the cloud and discuss what it took to approve the environment on AWS.
"The Open Guide to AWS is an open source writing project, which over the past year has become one of the most popular AWS resources on the web. It’s both a written resource on GitHub, with over 100 contributors, and a large Slack group. Each has become a forum for trading practical knowledge not covered in standard documentation. In this session, we talk about the Guide and how it started, share lessons on seeding initial content, the editorial process, and how to foster a healthy extended community and encourage social engagement.
This session is part of the re:Invent Developer Community Day, six community-led sessions where AWS enthusiasts share technical insights on trending topics based on first-hand experiences and knowledge shared within local AWS communities."
Self-Service Analytics with AWS Big Data and Tableau - ARC217 - re:Invent 2017Amazon Web Services
Expedia built a self-service analytics platform on AWS to optimize their payment processing and track costs. They used Tableau for reporting and implemented loosely coupled components including data collection from various sources, transformation and storage using Hive on EMR and Redshift, and orchestration. Their goal was to provide a familiar and usable interface while embracing cloud impermanence and scalability.
Learn how Amazon EC2 Spot and Thinkbox Deadline can make your VFX and CG renders explode off the screen, with minimal effort and low cost. This session focuses on rendering workloads combining Deadline (an AWS rendering pipeline management service), Thinkbox Marketplace usage-based licensing for flexible render licensing, and Spot for scalable low-cost computing. Learn how to seamlessly integrate your existing production pipeline, as well as advanced asset management, synchronization, and connections to other AWS services such as AWS storage and networking for advanced workflows, including the extension of on-premises render workflows into the cloud and all-in-cloud rendering pipelines. We also highlight a few real-world examples of customers with actual Hollywood productions.
GPSBUS208-GPS DevOps transformations leading to cloud migrationsAmazon Web Services
DevOps transformations are leading organizations to migrate workloads to the cloud. This provides opportunities for DevOps partners to focus on cloud migration. DevOps tools and services can help automate the migration process. AWS partners can assist customers with workload assessments, migration planning, and DevOps transformations to optimize applications on AWS.
Build your case for the cloud and engage your business stakeholdersAmazon Web Services
Migration of enterprise applications to a cloud-based infrastructure will impact and change the daily operations of multiple teams and business functions across your organisation. Early engagement and education around these changes is critical in order to ensure organisation-wide support for your cloud migration program. Watch this session to identify common questions seen from business stakeholders and best practices tips on how to address them.
Building a Photorealistic Real-Time 3D Configurator with Server-Side Renderin...Amazon Web Services
WebGL has made great improvements over the past years. However, it still can’t provide photorealistic experiences alone. In order to provide products with the best look and feel, we decided to use server-side 3D rendering. In this session, we show you how we built our real-time 3D configurator stack using Amazon EC2 Elastic GPUs, RESTful microservices, Lambda@Edge, Amazon CloudFront and other services.
Building Best Practices and the Right Foundation for your 1st Production Work...Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to take your first steps on the AWS Cloud, explain how to make smarter decisions for architecting your application, and demonstrate the best way to scale your infrastructure.
Sony Pictures Imageworks uses cloud bursting on AWS to handle peaks in rendering demands for visual effects. For the movie The Smurfs, they tested using AWS Spot instances and found it was 42% cheaper than traditional hardware rentals while maintaining scale. For the movie The Emoji Movie, they scaled up to 75,000 vCPUs on AWS to increase artist productivity and meet tight deadlines. Cloud bursting on AWS allows them to dynamically scale rendering capacity up or down as needed to complete projects on time and on budget.
21st Century Fox is building a media platform on AWS to manage their global media supply chain. Their goals are to provide consistent capabilities across Fox, leverage cloud technologies for innovation, and drive automation
Create a Serverless Image Processing Platform - ARC326 - re:Invent 2017Amazon Web Services
This document outlines a workshop on building a serverless image processing platform. It discusses using AWS services like AWS Lambda, Amazon Rekognition, Amazon Elasticsearch Service, and AWS CloudFormation to build an application that allows users to upload images and performs tasks like creating thumbnails, identifying objects in images, and enabling search of image metadata and objects. The workshop will deploy the necessary infrastructure using a CloudFormation template, discuss serverless architectures and challenges like handling sporadic workloads, and demonstrate how to use the various AWS services to build the image processing platform in a cost-effective and scalable manner without having to manage servers.
Reinforcement Learning – The Ultimate AI - ARC320 - re:Invent 2017Amazon Web Services
Reinforcement Learning (RL) can be used to solve real-world problems in robotics and conversational engines without supervision. AI algorithms that observe their surroundings and learn are considered to be the ultimate forms of AI. The RL use cases shines in multi-agent scenarios where each agent reacts in real-time to the changing situation. In this session, we explain RL, the theory, and the algorithms used. We show an MXNet-based demo that will automatically learn to play a game. We use a game and show how an agent powered by MXNet takes actions to win. Initially, you notice that the agent making very little progress, but after a few dozen iterations, it can play the game better than any human being. You can generalize this to real world problems. RL is currently used today in robotics, gaming, autonomous vehicle control, spoken language systems and many more. In this talk, I will be using Amazon EC2 P2 instances, AWS deep learning AMI, MXnet deep learning framework, Amazon EBS, and Amazon S3.
AWS Metering provides customers with detailed usage information (down to a specific Amazon EC2 instance or Amazon S3 bucket used in a single hour), enabling them to gain deep insights into their utilization of cloud resources. However, this level of transparency is not available across most customers’ traditional IT infrastructure, making it difficult to understand what resources are being used, when, and by whom. Join us in this session to learn how to meter, measure, and understand your usage from AWS, on-premises data centers, containers, serverless compute, even other clouds across your IT infrastructure. We show you how to meter your non-AWS resources to make smarter decisions about your business and investment in the cloud.
The document outlines the agenda for the AWSome day Copenhagen 2017 event. It includes details of the event schedule with sessions on AWS foundations, infrastructure, databases, security, and management tools. There will also be technical and business tracks running in parallel sessions. The event will feature a keynote, presentations from AWS architects, and time for Q&A with AWS experts.
Exploring Blockchain Technology, Risks, and Emerging Trends - ARC313 - re:Inv...Amazon Web Services
Blockchain has become a hot topic for enterprises, start-ups, entrepreneurs, and regulatory bodies. Born from bitcoin in 2008, blockchain's promise of a distributed ledger has far greater implications than cryptocurrency. Companies are now beginning to understand its disruptive potential and are experimenting with its most promising applications. But, few companies have asked the more fundamental question: Are we ready to adopt a shared public database for financial transactions? In this session, we cover the concepts of blockchain and use cases in the enterprise. We also demonstrate blockchain in use and show how to implement it using AWS services.
ATC304_RFID (Really Freaking Indispensable and Decisive) AdvertisingAmazon Web Services
Interested in learning how to integrate the Internet of Things into your advertising platform and combine it with AWS Greengrass, AWS Lambda, Amazon DynamoDB, and Amazon API Gateway to send context-aware advertisements to users at the point of buying? In this session, Mobiquity, the leader in digital engagements servicing the world’s top brands, and their Innovation Partner Flomio discuss how they’ve been able to use AWS to create compelling digital experiences for their clients. We deep-dive on the technology behind Mobiquity’s innovative shopping system that uses RFID, Bluetooth, captive Wifi, and a mobile app to provide real-time context for understanding how and where your customers interact with your products and services, allowing you to better tailor your ads to their particular preferences.
Bringing the Superpower of Bots to Your Company with a Serverless Bot Solutio...Amazon Web Services
Bots are leading the next disruptive wave of how people and companies communicate. Companies can use bots for internal communications, such as facilities management or support, or for external communications, such as selling products, helping customers with searches, and acting as a trusted advisor in other ways. In this session, we show how easy it is to deploy a bot and how it improves customer interactions. Further, most bot solutions operate with a single language. We show how to build a language-agnostic bot solution using AWS Lambda and other AWS services.
MCL202_Ally Bank & Cognizant Transforming Customer Experience Using Amazon AlexaAmazon Web Services
Given the increasing popularity of natural language interfaces such as Voice as User technology or conversational artificial intelligence (AI), Ally® Bank was looking to interact with customers by enabling direct transactions through conversation or voice. They also needed to develop a capability that allows third parties to connect to the bank securely for information sharing and exchange, using oAuth, an authentication protocol seen as the future of secure banking technology. Cognizant’s Architecture team partnered with Ally Bank’s Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services.
Session sponsored by Cognizant
GPSTEC321_VMware on AWS Cloud Technical Deep Dive & Native AWS Services Integ...Amazon Web Services
Do you know that customers can seamlessly migrate on-premises applications to VMware Cloud on AWS? Come learn the compute, network, and storage architecture of the VMware Cloud on AWS solution. In this session, we use practical, real-world customer use cases to dive deep on hybrid cloud network connectivity, data protection, and security best practices. Additionally, we highlight how to use native AWS services with VMware Software-Defined Data Center (SDDC) workloads. Expect to walk away with practical guidance and tips on helping customers with their VMware and AWS hybrid cloud journey.
DVC201-Build AWS Skills Through Community-Led User Groups.pdfAmazon Web Services
"Did you know that there are over 300 AWS User Groups worldwide? Join this panel discussion featuring AWS community leaders from around the world, and learn the value of attending community-led AWS Meetups in your region. Community leaders share their experiences, talk through how local communities help developers solve problems and achieve their goals, and discuss the benefits of participating in peer-to-peer AWS knowledge sharing and networking activities.
This session is part of the re:Invent Developer Community Day, six community-led sessions where AWS enthusiasts share technical insights on trending topics based on first-hand experiences and knowledge shared within local AWS communities."
WPS301-Navigating HIPAA and HITRUST_QuickStart Guide to Account Gov Strat.pdfAmazon Web Services
Join AWS in examining governance and compliance designs aimed at helping organizations meet HIPAA and HITRUST standards. Learn how to better validate and document your compliance, expedite access to AWS compliance accelerators, and discover new ways to use AWS native features to monitor and control your accounts. This session is for a technical audience seeking to dive deep into the AWS service offerings, console, and API.
Cox Automotive’s Data Center Migration to the AWS Cloud - ENT330 - re:Invent ...Amazon Web Services
Cox Automotive provides digital solutions that transform how the world buys, sells, and owns cars. Cox is currently engaged in a multiyear effort to migrate the bulk of its applications from physical data centers to AWS, including client-facing SaaS applications and large, consumer-facing websites. In this session, they discuss their learnings on how to effectively migrate large, service-based architectures to AWS while minimizing the impact to customers. They also share lessons learned for conducting organizational change at scale and creating a culture of self-service.
Design, Build, and Modernize Your Web Applications with AWSDonnie Prakoso
Cloud makes it super easy for you to spin off your desired IT resources. But, the true value of cloud lies in its capability to provide you a set of building blocks for your applications. Join us in this hands-on session to understand how to use Amazon Virtual Private Cloud (VPC) and Amazon Elastic Compute Cloud (EC2) along with Amazon EC2 Auto Scaling and Elastic Load Balancer to design your scalable architecture and build your applications in no time. Moreover, we will discover how to modernize your application with the help of our serverless service AWS Lambda.
"The Open Guide to AWS is an open source writing project, which over the past year has become one of the most popular AWS resources on the web. It’s both a written resource on GitHub, with over 100 contributors, and a large Slack group. Each has become a forum for trading practical knowledge not covered in standard documentation. In this session, we talk about the Guide and how it started, share lessons on seeding initial content, the editorial process, and how to foster a healthy extended community and encourage social engagement.
This session is part of the re:Invent Developer Community Day, six community-led sessions where AWS enthusiasts share technical insights on trending topics based on first-hand experiences and knowledge shared within local AWS communities."
Self-Service Analytics with AWS Big Data and Tableau - ARC217 - re:Invent 2017Amazon Web Services
Expedia built a self-service analytics platform on AWS to optimize their payment processing and track costs. They used Tableau for reporting and implemented loosely coupled components including data collection from various sources, transformation and storage using Hive on EMR and Redshift, and orchestration. Their goal was to provide a familiar and usable interface while embracing cloud impermanence and scalability.
Learn how Amazon EC2 Spot and Thinkbox Deadline can make your VFX and CG renders explode off the screen, with minimal effort and low cost. This session focuses on rendering workloads combining Deadline (an AWS rendering pipeline management service), Thinkbox Marketplace usage-based licensing for flexible render licensing, and Spot for scalable low-cost computing. Learn how to seamlessly integrate your existing production pipeline, as well as advanced asset management, synchronization, and connections to other AWS services such as AWS storage and networking for advanced workflows, including the extension of on-premises render workflows into the cloud and all-in-cloud rendering pipelines. We also highlight a few real-world examples of customers with actual Hollywood productions.
GPSBUS208-GPS DevOps transformations leading to cloud migrationsAmazon Web Services
DevOps transformations are leading organizations to migrate workloads to the cloud. This provides opportunities for DevOps partners to focus on cloud migration. DevOps tools and services can help automate the migration process. AWS partners can assist customers with workload assessments, migration planning, and DevOps transformations to optimize applications on AWS.
Build your case for the cloud and engage your business stakeholdersAmazon Web Services
Migration of enterprise applications to a cloud-based infrastructure will impact and change the daily operations of multiple teams and business functions across your organisation. Early engagement and education around these changes is critical in order to ensure organisation-wide support for your cloud migration program. Watch this session to identify common questions seen from business stakeholders and best practices tips on how to address them.
Building a Photorealistic Real-Time 3D Configurator with Server-Side Renderin...Amazon Web Services
WebGL has made great improvements over the past years. However, it still can’t provide photorealistic experiences alone. In order to provide products with the best look and feel, we decided to use server-side 3D rendering. In this session, we show you how we built our real-time 3D configurator stack using Amazon EC2 Elastic GPUs, RESTful microservices, Lambda@Edge, Amazon CloudFront and other services.
Building Best Practices and the Right Foundation for your 1st Production Work...Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to take your first steps on the AWS Cloud, explain how to make smarter decisions for architecting your application, and demonstrate the best way to scale your infrastructure.
Sony Pictures Imageworks uses cloud bursting on AWS to handle peaks in rendering demands for visual effects. For the movie The Smurfs, they tested using AWS Spot instances and found it was 42% cheaper than traditional hardware rentals while maintaining scale. For the movie The Emoji Movie, they scaled up to 75,000 vCPUs on AWS to increase artist productivity and meet tight deadlines. Cloud bursting on AWS allows them to dynamically scale rendering capacity up or down as needed to complete projects on time and on budget.
21st Century Fox is building a media platform on AWS to manage their global media supply chain. Their goals are to provide consistent capabilities across Fox, leverage cloud technologies for innovation, and drive automation
Create a Serverless Image Processing Platform - ARC326 - re:Invent 2017Amazon Web Services
This document outlines a workshop on building a serverless image processing platform. It discusses using AWS services like AWS Lambda, Amazon Rekognition, Amazon Elasticsearch Service, and AWS CloudFormation to build an application that allows users to upload images and performs tasks like creating thumbnails, identifying objects in images, and enabling search of image metadata and objects. The workshop will deploy the necessary infrastructure using a CloudFormation template, discuss serverless architectures and challenges like handling sporadic workloads, and demonstrate how to use the various AWS services to build the image processing platform in a cost-effective and scalable manner without having to manage servers.
Reinforcement Learning – The Ultimate AI - ARC320 - re:Invent 2017Amazon Web Services
Reinforcement Learning (RL) can be used to solve real-world problems in robotics and conversational engines without supervision. AI algorithms that observe their surroundings and learn are considered to be the ultimate forms of AI. The RL use cases shines in multi-agent scenarios where each agent reacts in real-time to the changing situation. In this session, we explain RL, the theory, and the algorithms used. We show an MXNet-based demo that will automatically learn to play a game. We use a game and show how an agent powered by MXNet takes actions to win. Initially, you notice that the agent making very little progress, but after a few dozen iterations, it can play the game better than any human being. You can generalize this to real world problems. RL is currently used today in robotics, gaming, autonomous vehicle control, spoken language systems and many more. In this talk, I will be using Amazon EC2 P2 instances, AWS deep learning AMI, MXnet deep learning framework, Amazon EBS, and Amazon S3.
AWS Metering provides customers with detailed usage information (down to a specific Amazon EC2 instance or Amazon S3 bucket used in a single hour), enabling them to gain deep insights into their utilization of cloud resources. However, this level of transparency is not available across most customers’ traditional IT infrastructure, making it difficult to understand what resources are being used, when, and by whom. Join us in this session to learn how to meter, measure, and understand your usage from AWS, on-premises data centers, containers, serverless compute, even other clouds across your IT infrastructure. We show you how to meter your non-AWS resources to make smarter decisions about your business and investment in the cloud.
The document outlines the agenda for the AWSome day Copenhagen 2017 event. It includes details of the event schedule with sessions on AWS foundations, infrastructure, databases, security, and management tools. There will also be technical and business tracks running in parallel sessions. The event will feature a keynote, presentations from AWS architects, and time for Q&A with AWS experts.
Exploring Blockchain Technology, Risks, and Emerging Trends - ARC313 - re:Inv...Amazon Web Services
Blockchain has become a hot topic for enterprises, start-ups, entrepreneurs, and regulatory bodies. Born from bitcoin in 2008, blockchain's promise of a distributed ledger has far greater implications than cryptocurrency. Companies are now beginning to understand its disruptive potential and are experimenting with its most promising applications. But, few companies have asked the more fundamental question: Are we ready to adopt a shared public database for financial transactions? In this session, we cover the concepts of blockchain and use cases in the enterprise. We also demonstrate blockchain in use and show how to implement it using AWS services.
ATC304_RFID (Really Freaking Indispensable and Decisive) AdvertisingAmazon Web Services
Interested in learning how to integrate the Internet of Things into your advertising platform and combine it with AWS Greengrass, AWS Lambda, Amazon DynamoDB, and Amazon API Gateway to send context-aware advertisements to users at the point of buying? In this session, Mobiquity, the leader in digital engagements servicing the world’s top brands, and their Innovation Partner Flomio discuss how they’ve been able to use AWS to create compelling digital experiences for their clients. We deep-dive on the technology behind Mobiquity’s innovative shopping system that uses RFID, Bluetooth, captive Wifi, and a mobile app to provide real-time context for understanding how and where your customers interact with your products and services, allowing you to better tailor your ads to their particular preferences.
Bringing the Superpower of Bots to Your Company with a Serverless Bot Solutio...Amazon Web Services
Bots are leading the next disruptive wave of how people and companies communicate. Companies can use bots for internal communications, such as facilities management or support, or for external communications, such as selling products, helping customers with searches, and acting as a trusted advisor in other ways. In this session, we show how easy it is to deploy a bot and how it improves customer interactions. Further, most bot solutions operate with a single language. We show how to build a language-agnostic bot solution using AWS Lambda and other AWS services.
MCL202_Ally Bank & Cognizant Transforming Customer Experience Using Amazon AlexaAmazon Web Services
Given the increasing popularity of natural language interfaces such as Voice as User technology or conversational artificial intelligence (AI), Ally® Bank was looking to interact with customers by enabling direct transactions through conversation or voice. They also needed to develop a capability that allows third parties to connect to the bank securely for information sharing and exchange, using oAuth, an authentication protocol seen as the future of secure banking technology. Cognizant’s Architecture team partnered with Ally Bank’s Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services.
Session sponsored by Cognizant
GPSTEC321_VMware on AWS Cloud Technical Deep Dive & Native AWS Services Integ...Amazon Web Services
Do you know that customers can seamlessly migrate on-premises applications to VMware Cloud on AWS? Come learn the compute, network, and storage architecture of the VMware Cloud on AWS solution. In this session, we use practical, real-world customer use cases to dive deep on hybrid cloud network connectivity, data protection, and security best practices. Additionally, we highlight how to use native AWS services with VMware Software-Defined Data Center (SDDC) workloads. Expect to walk away with practical guidance and tips on helping customers with their VMware and AWS hybrid cloud journey.
DVC201-Build AWS Skills Through Community-Led User Groups.pdfAmazon Web Services
"Did you know that there are over 300 AWS User Groups worldwide? Join this panel discussion featuring AWS community leaders from around the world, and learn the value of attending community-led AWS Meetups in your region. Community leaders share their experiences, talk through how local communities help developers solve problems and achieve their goals, and discuss the benefits of participating in peer-to-peer AWS knowledge sharing and networking activities.
This session is part of the re:Invent Developer Community Day, six community-led sessions where AWS enthusiasts share technical insights on trending topics based on first-hand experiences and knowledge shared within local AWS communities."
WPS301-Navigating HIPAA and HITRUST_QuickStart Guide to Account Gov Strat.pdfAmazon Web Services
Join AWS in examining governance and compliance designs aimed at helping organizations meet HIPAA and HITRUST standards. Learn how to better validate and document your compliance, expedite access to AWS compliance accelerators, and discover new ways to use AWS native features to monitor and control your accounts. This session is for a technical audience seeking to dive deep into the AWS service offerings, console, and API.
Cox Automotive’s Data Center Migration to the AWS Cloud - ENT330 - re:Invent ...Amazon Web Services
Cox Automotive provides digital solutions that transform how the world buys, sells, and owns cars. Cox is currently engaged in a multiyear effort to migrate the bulk of its applications from physical data centers to AWS, including client-facing SaaS applications and large, consumer-facing websites. In this session, they discuss their learnings on how to effectively migrate large, service-based architectures to AWS while minimizing the impact to customers. They also share lessons learned for conducting organizational change at scale and creating a culture of self-service.
Design, Build, and Modernize Your Web Applications with AWSDonnie Prakoso
Cloud makes it super easy for you to spin off your desired IT resources. But, the true value of cloud lies in its capability to provide you a set of building blocks for your applications. Join us in this hands-on session to understand how to use Amazon Virtual Private Cloud (VPC) and Amazon Elastic Compute Cloud (EC2) along with Amazon EC2 Auto Scaling and Elastic Load Balancer to design your scalable architecture and build your applications in no time. Moreover, we will discover how to modernize your application with the help of our serverless service AWS Lambda.
Oracle Enterprise Solutions on AWS - ENT326 - re:Invent 2017Amazon Web Services
This document summarizes a presentation about running Oracle enterprise solutions on AWS. It discusses how several large customers have successfully migrated Oracle E-Business Suite, PeopleSoft, and Siebel applications to AWS. The presentation covers the architectures for running these applications on AWS, along with considerations for backups, high availability, and migration strategies using tools like AWS Database Migration Service. It also discusses a case study of how consulting partner Sierra-Cedar helped a customer migrate their PeopleSoft environment from their data center to AWS.
Reactive Architectures with MicroservicesAWS Germany
The document discusses reactive architectures with microservices. It defines reactive architecture as being asynchronous, non-blocking, loosely coupled, and push-based. It recommends building reactive systems on AWS using services like ECS, Lambda, Kinesis, ElastiCache and DynamoDB. The application architecture described uses Vert.x and microservices like HTTP, caching and Redis Verticles. Global rollout is discussed, noting the options of a master region or distributed processing across regions using CloudFormation for infrastructure as code.
Serverless introduction - AWS IL Beer Sheva meetupBoaz Ziniman
- The document discusses serverless computing, which allows building and running applications without having to manage servers. It describes how serverless is an evolution from physical servers, to virtual servers in datacenters, to virtual servers in the cloud. With serverless, there is no server to manage, which eliminates responsibilities around provisioning, scaling, operations, availability and fault tolerance. Serverless applications are event-driven and pay only for usage, with continuous scaling. Common use cases provided include a 3-tier web app and image thumbnail creation.
GPS: Industry 4.0: AI and the Future of Manufacturing - GPSTEC326 - re:Invent...Amazon Web Services
Advances in artificial intelligence, machine learning, and deep learning, along with the rapid deployment of Internet of Things (IoT) devices, are changing how physical products are designed and built. In this session, learn how AWS partners Siemens and Autodesk use AWS to enhance the design process and how they're incorporating AWS services into their products and smart factories. We explore how these trends impact the future of design and manufacturing.
GPSTEC326-GPS Industry 4.0 AI and the Future of ManufacturingAmazon Web Services
Advances in artificial intelligence, machine learning, and deep learning, along with the rapid deployment of Internet of Things (IoT) devices, are changing how physical products are designed and built. In this session, learn how AWS partners Siemens and Autodesk use AWS to enhance the design process and how they're incorporating AWS services into their products and smart factories. We explore how these trends impact the future of design and manufacturing.
Strategies for Migrating Microsoft SQL Databases to AWS - WIN314 - re:Invent ...Amazon Web Services
In this workshop, we explore different strategies and options for migrating Microsoft SQL databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools that you can use for migration, monitoring, and backup and recovery.
DAT317_Migrating Databases and Data Warehouses to the CloudAmazon Web Services
The document discusses migrating databases and data warehouses to AWS using AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT). DMS allows migrating and replicating databases to AWS, supporting heterogeneous migrations between commercial and open-source databases. SCT automates converting database schemas between different database engines. The document provides an overview of the migration process, when to use DMS and SCT, how they work, examples, and resources for customers.
This document provides an overview of Amazon Lightsail, a platform for deploying and managing virtual private servers. It highlights key Lightsail features like easy instance provisioning, predictable pricing, global availability, and integration with other AWS services. The document also demonstrates how to launch an instance, access it via SSH, take snapshots, and programmatically control Lightsail using the AWS API. It discusses when Lightsail is suitable compared to other AWS services and how applications can grow on Lightsail.
Digital Transformation: Adapt or Perish - CON207 - re:Invent 2017Amazon Web Services
Red Hat OpenShift Containers Platform uses Kubernetes, Docker, Amazon EC2, Elastic Load Balancing, and persistent storage to provide a high performance, optimized, and scalable Linux container infrastructure leveraging Red Hat Enterprise Linux. In this session, we discuss best practices on successfully designing, implementing, and managing distributed microservices applications at any scale. We also explore other innovative strategies, including integrated analytic techniques to anticipate and predict scaling operations to allow infrastructures to scale elastically on-demand.
Session sponsored by Red Hat
Did you know 52% of today’s organizations are planning to leverage a hybrid-cloud approach? With eight years’ experience running Windows workloads in the cloud, AWS provides the perfect platform to modernize your Microsoft applications.
This webinar will demonstrate how AWS ensures customization, high availability and scalability for most of your Microsoft applications on a hybrid-cloud model and learn how to reduce cost. We will also offer you an understanding of how these workloads are licensed and monitored, and share best practice reference architectures.
Key Outcomes:
• How to get the most out of your Microsoft Applications
• How do you start Migrating Applications to AWS?
• Hybrid cloud deployments using AWS
• Licensing Considerations
Session is suitable for
• Technical Decision Makers
• Senior IT Managers and Specialist
• DBA’s
• Solution Architects and Engineers
GPSBUS220-Refactor and Replatform .NET Apps to Use the Latest Microsoft SQL S...Amazon Web Services
Developers and architects migrating Microsoft enterprise applications to AWS can leverage new tools and services to implement DevOps best practices identified and developed by AWS solution architects and service teams. Learn about architectural best practices and AWS services such as AWS CodeBuild and AWS CodeDeploy, focusing on the .NET environment. Get examples of using the latest SQL Server release on Amazon EC2 or Amazon RDS, or on other database offerings native to AWS, like Amazon Aurora or serverless environments. Hear how an APN Partner took a global retail customer’s ecommerce engine and SQL Server–based data platform from on premises to the AWS Cloud in just weeks.
This document summarizes an introduction to cloud computing presentation by AWS. It discusses definitions of cloud computing, benefits such as cost savings and scalability, AWS global infrastructure and services, examples of AWS customers, and how organizations can get started with cloud migration. The presentation covers key cloud concepts in order to help audiences understand cloud computing with AWS.
Building Serverless Microservices with AWSDonnie Prakoso
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features.
For those who are building microservices, this deck provides you a guideline on what AWS services you can use to build microservices, starting from development, deployment tools to coordination.
Independientemente de que usted sea un banco inversor mundial o una startup emergente del sector tecnológico-financiero, AWS puede ayudarlo a reinventar y optimizar su relación con la tecnología para disminuir los plazos de ingreso al mercado, automatizar y fortalecer la seguridad, aumentar los beneficios de los accionistas, mejorar las experiencias de los clientes y reducir los costos.
Learn how to build serverless applications using the AWS Serverless Platform-...Amazon Web Services
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server?
In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
We will cover:
- Learn the basics of AWS Lambda and Amazon API Gateway
- Understand how to build a web application using these AWS services
- Learn to architect a serverless application
- Gain an overview of frameworks for building serverless applications
This webinar is a Level 100 session and is suited for:
- Developers
- Solution architects and engineers
- Technical managers
Speakers:
Stephen Liedig, Public Sector Solution Architect, Amazon Web Services
Q&A:
Ed Lima, Solutions Architect, Amazon Web Services
This document discusses deep learning model serving. It introduces Apache MXNet as a deep learning framework and describes how MXNet Model Server can be used to deploy trained models and serve predictions. Key aspects covered include model archives, containerization of models for deployment, operational metrics, and challenges for further improving model serving platforms.
You want to go to the cloud, but you are blocked by legacy technical debt. In this session, we guide you into the cloud using trusted application platforms like OpenShift and CloudFoundry. Come learn how to unblock your migration and unwind an otherwise complicated transformation.
GPSWKS407-Strategies for Migrating Microsoft SQL Databases to AWSAmazon Web Services
Data is king! In this workshop, we explore different strategies and options for migrating Microsoft SQL Server databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools you can use for migration, monitoring, and backup and recovery.
Similar to Getting from Here to There: A Journey from On-premises to Serverless Architecture - ARC316 - re:Invent 2017 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.