The automotive industry is undergoing rapid change in every area, and cloud computing is at the center of this transformation. In this session, learn how leading global automotive companies are partnering with AWS to transition their enterprises to create innovative, connected brand experiences and future mobility services. Volkswagen Group discusses how they are migrating legacy applications to create an agile, scalable, microservices-based digital platform using AWS as a cloud service provider, serving their 12 global brands and connecting millions of vehicles. BMW Group shows how they modernized their digital customer engagement platform by migrating their monolithic backend to a microservice-based platform and subsequently leveraging multiple AWS services to support more than 28 front-end customer touchpoints across auto and motorcycle brands. Finally, Toyota Research Institute shows how they are using deep learning on Amazon EC2 P3 instances, Amazon S3, Amazon SQS, and AWS networking services to accelerate the research and development of their automated driving systems.
[NEW LAUNCH!] Introducing AWS App Mesh – service mesh on AWS (CON367) - AWS r...Amazon Web Services
AWS App Mesh is a new service mesh that provides visibility and control for microservices applications on AWS. It configures Envoy proxies using a control plane to handle tasks like load balancing, monitoring, and authentication cross multiple services. App Mesh currently supports Amazon ECS and EKS workloads and will add integrations for services like AWS Fargate.
What's New with Amazon Redshift ft. McDonald's (ANT350-R1) - AWS re:Invent 2018Amazon Web Services
Learn about the latest and hottest features of Amazon Redshift. We’ll deep dive into the architecture and inner workings of Amazon Redshift and discuss how the recent availability, performance, and manageability improvements we’ve made can significantly enhance your user experience. We’ll also share glimpse of what we are working on and our plans for the future. McDonald's will join us to share how they leverage a data lake powered by Redshift, Redshift spectrum and Athena to get quick insights.
The New Normal for Mission-Critical SAP Workloads (ENT219-R1) - AWS re:Invent...Amazon Web Services
In order to increase business agility, drive transformation, and reduce costs, enterprise customers are moving their entire SAP landscapes to AWS. Examples of enterprise customers running their core businesses on AWS include: AIG, BP, BMS, Brooks Brothers, and Zappos. In this session, hear why thousands of customers are running SAP workloads on AWS, and understand how AWS helps Fortune 500 companies migrate and transform their environments accelerate greater innovation with AWS.
Architecting for the Cloud (ARC213-R2) - AWS re:Invent 2018Amazon Web Services
Bring your ideas, war stories, and "aha moments" to this interactive session with an AWS solutions architect, where we discuss cloud architecture best practices. We highlight specific "light bulb" moments for AWS customers as the cloud redefined how they think about scalability, designing for failure, constrained thinking, elasticity, parallel processing, loose coupling, and more. Come with your own story or an interest in learning how AWS forever changed the way your colleagues think about the IT world.
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018Amazon Web Services
Learn best practices from Hilton Hotels Worldwide as they built an Enterprise Data Lake/Management (EDM) platform on AWS to drive insights and analytics for their business applications, including worldwide hotel booking and reservation management systems. The EDM architecture is built with Hadoop clusters running on Amazon EC2 combined with Amazon Redshift and Amazon Athena for data warehousing and ad hoc SQL analytics. This is a great opportunity to get an unfiltered customer perspective on their road to data nirvana!
“Cloud First” Helps Hub Intl Grow the Business with Splunk on AWS (ANT330-S) ...Amazon Web Services
What does “Cloud First” really mean for your processes, customers, and the future of your business? In this session, learn from Hub International’s CISO and Head of Architecture how the insurance company is transforming their business by migrating to the cloud for greater scale, cost savings, performance, and security. With a goal to go all-in on AWS by end of 2018, Hub International needed real-time visibility across its cloud and hybrid environments to mitigate risks and ensure seamless migrations—thereby keeping customers happy and their data safe. See how Hub International is harnessing machine data and predictive analytics to secure applications and infrastructure, control costs and improve capacity planning. This session is brought to you by AWS partner, Splunk.
Get hands on with the main components of AWS IoT Core. You will learn how to connect and manage your devices, secure device connections and data, process and act upon device data, and read and set device state at any time. You will see how the Device Gateway serves as the entry point for IoT devices connecting to AWS. The Device Gateway supports the MQTT, WebSockets, and HTTP 1.1 protocols. You will work with the high throughput Message Broker to securely transmit messages to and from all of your IoT devices and applications. The flexible nature of the Message Broker’s topic structure allows you to send messages to, or receive messages from, as many devices as you would like. It supports messaging patterns ranging from one-to-one command and control messaging, to one-to-one million (or more!) broadcast notification systems. You will set up the Registry to track device attributes and metadata and create a persistent, virtual version of each device known as the Device Shadow. Finally, you will explore the Rules Engine to author rules within the management console or write rules using a SQL-like syntax. Join us if you are a cloud architect, device engineer, software developer, or firmware engineer.
Managing Modern Infrastructure in Enterprises (ENT227-R1) - AWS re:Invent 2018Amazon Web Services
In this session, Verizon shares how it uses AWS Systems Manager for inventory, compliance, and patch management solutions. Learn about the challenges that large enterprises face when they attempt to retrofit legacy solutions for cloud environments, and discover best practices for using AWS Systems Manager for minimal access policies, custom Amazon Machine Images, tagging policies, encryption, and more.
[NEW LAUNCH!] Introducing AWS App Mesh – service mesh on AWS (CON367) - AWS r...Amazon Web Services
AWS App Mesh is a new service mesh that provides visibility and control for microservices applications on AWS. It configures Envoy proxies using a control plane to handle tasks like load balancing, monitoring, and authentication cross multiple services. App Mesh currently supports Amazon ECS and EKS workloads and will add integrations for services like AWS Fargate.
What's New with Amazon Redshift ft. McDonald's (ANT350-R1) - AWS re:Invent 2018Amazon Web Services
Learn about the latest and hottest features of Amazon Redshift. We’ll deep dive into the architecture and inner workings of Amazon Redshift and discuss how the recent availability, performance, and manageability improvements we’ve made can significantly enhance your user experience. We’ll also share glimpse of what we are working on and our plans for the future. McDonald's will join us to share how they leverage a data lake powered by Redshift, Redshift spectrum and Athena to get quick insights.
The New Normal for Mission-Critical SAP Workloads (ENT219-R1) - AWS re:Invent...Amazon Web Services
In order to increase business agility, drive transformation, and reduce costs, enterprise customers are moving their entire SAP landscapes to AWS. Examples of enterprise customers running their core businesses on AWS include: AIG, BP, BMS, Brooks Brothers, and Zappos. In this session, hear why thousands of customers are running SAP workloads on AWS, and understand how AWS helps Fortune 500 companies migrate and transform their environments accelerate greater innovation with AWS.
Architecting for the Cloud (ARC213-R2) - AWS re:Invent 2018Amazon Web Services
Bring your ideas, war stories, and "aha moments" to this interactive session with an AWS solutions architect, where we discuss cloud architecture best practices. We highlight specific "light bulb" moments for AWS customers as the cloud redefined how they think about scalability, designing for failure, constrained thinking, elasticity, parallel processing, loose coupling, and more. Come with your own story or an interest in learning how AWS forever changed the way your colleagues think about the IT world.
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018Amazon Web Services
Learn best practices from Hilton Hotels Worldwide as they built an Enterprise Data Lake/Management (EDM) platform on AWS to drive insights and analytics for their business applications, including worldwide hotel booking and reservation management systems. The EDM architecture is built with Hadoop clusters running on Amazon EC2 combined with Amazon Redshift and Amazon Athena for data warehousing and ad hoc SQL analytics. This is a great opportunity to get an unfiltered customer perspective on their road to data nirvana!
“Cloud First” Helps Hub Intl Grow the Business with Splunk on AWS (ANT330-S) ...Amazon Web Services
What does “Cloud First” really mean for your processes, customers, and the future of your business? In this session, learn from Hub International’s CISO and Head of Architecture how the insurance company is transforming their business by migrating to the cloud for greater scale, cost savings, performance, and security. With a goal to go all-in on AWS by end of 2018, Hub International needed real-time visibility across its cloud and hybrid environments to mitigate risks and ensure seamless migrations—thereby keeping customers happy and their data safe. See how Hub International is harnessing machine data and predictive analytics to secure applications and infrastructure, control costs and improve capacity planning. This session is brought to you by AWS partner, Splunk.
Get hands on with the main components of AWS IoT Core. You will learn how to connect and manage your devices, secure device connections and data, process and act upon device data, and read and set device state at any time. You will see how the Device Gateway serves as the entry point for IoT devices connecting to AWS. The Device Gateway supports the MQTT, WebSockets, and HTTP 1.1 protocols. You will work with the high throughput Message Broker to securely transmit messages to and from all of your IoT devices and applications. The flexible nature of the Message Broker’s topic structure allows you to send messages to, or receive messages from, as many devices as you would like. It supports messaging patterns ranging from one-to-one command and control messaging, to one-to-one million (or more!) broadcast notification systems. You will set up the Registry to track device attributes and metadata and create a persistent, virtual version of each device known as the Device Shadow. Finally, you will explore the Rules Engine to author rules within the management console or write rules using a SQL-like syntax. Join us if you are a cloud architect, device engineer, software developer, or firmware engineer.
Managing Modern Infrastructure in Enterprises (ENT227-R1) - AWS re:Invent 2018Amazon Web Services
In this session, Verizon shares how it uses AWS Systems Manager for inventory, compliance, and patch management solutions. Learn about the challenges that large enterprises face when they attempt to retrofit legacy solutions for cloud environments, and discover best practices for using AWS Systems Manager for minimal access policies, custom Amazon Machine Images, tagging policies, encryption, and more.
Easy Rider: How ML, Serverless, and IoT Drive Mobility as a Service (AMT302) ...Amazon Web Services
Vehicle mobility is evolving, from traditional rental and fleet services, to car sharing, ride hailing, and future driverless services. Mobility providers need an agile, scalable, digital platform to manage all aspects of their fleet and its usage. In this session, Avis Budget Group (ABG) and Slalom walk through their serverless mobility platform using the AWS connected vehicle reference architecture, Amazon SageMaker, Amazon Kinesis Data Analytics, and AWS Lambda. Learn the practical application of using AWS IoT to connect vehicles and Amazon SageMaker to apply machine learning to uncover insights for use cases, including vehicle inventory, shuttling efficiency, driver behavior, and vehicle trajectory analysis to identify fraudulent vehicle usage. We dive deep into the overall solution and services mentioned above, as well as the operations dashboard ABG created with Uber's open source framework, deck.gl.
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...Amazon Web Services
Every M&E migration strategy to AWS requires the customer and partners to design and implement a content ingest workflow. These services vary from simple file transfer to fairly complex workflows that do quality control, proxy creation, and metadata augmentation. In this session, we present a baseline process for moving content into a Media Asset Management system in AWS, leveraging common open-source tools for asset registry and using AWS ML services to augment the metadata associated with assets. We also talk about common considerations that M&E organizations should consider when moving their assets and workflows to the cloud. Topics include metadata input, modeling, storage services and policies, security considerations, and managing increased content demands. We also visit the different storage tiers for different archive use cases and offer a TCO model.
All About the Customer: GraphQL & Real-Time Subscriptions in Customer Service...Amazon Web Services
ALDO wanted to improve in-store customer experience by offering rapid personalized assistance. In this session, follow ALDO’s journey in adopting GraphQL and serverless technologies for their in-store modern apps. Learn how this global fashion brand is offering elevated real-time, personalized customer experiences while optimizing in-store retail operations. Hear how they integrated with their existing infrastructure, along with other challenges. They also share best practices that they are carrying forward for future apps.
Real-Time Web Analytics with Amazon Kinesis Data Analytics (ADT401) - AWS re:...Amazon Web Services
Knowing what users are doing on your websites in real time provides insights you can act on without waiting for delayed batch processing of clickstream data. Watching the immediate impact on user behavior after new releases, detecting and responding to anomalies, situational awareness, and evaluating trends are all benefits of real-time website analytics. In this workshop, we build a cost-optimized platform to capture web beacon traffic, analyze it for interesting metrics, and display it on a customized dashboard. We start by deploying the Web Analytics Solution Accelerator, then once the core is complete, we extend their solution to capture new and interesting metrics, process those with Amazon Kinesis Analytics, and display new graphs on their custom dashboard. Participants come away with a fully functional system for capturing, analyzing, and displaying valuable website metrics in real time.
Modernizing .NET Applications on AWS (GPSCT204) - AWS re:Invent 2018Amazon Web Services
Many customers move to the cloud to innovate faster and gain more business agility. In order to recognize these benefits of the cloud, many customers are migrating their .NET applications to AWS, whilst innovating faster by taking advantage of cloud-native services. In this session, we will go through application modernization journey for a .NET application to AWS, and walkthrough Containerization as an option. We also discuss how easy it is for the customers to transform their business applications using AWS while using the familiar Microsoft toolset and workflows.
Listen to Your Customers' Social Voice & Engage Them with Delightful Experien...Amazon Web Services
In this session, we demonstrate how to easily deploy an AWS solution that ingests all Tweets from any Twitter handle, uses Amazon Comprehend to generate a sentiment score, and then automatically engages customers with a personalized message. The intended audience includes developers and marketers who want to leverage AWS to create powerful user engagement scenarios. We highlight how quickly a machine-learning marketing solution can be deployed. We cover the AWS services Amazon Pinpoint, a digital user engagement service, and Amazon Comprehend, a natural language processing service that uses artificial intelligence and machine learning to find insights and relationships in text.
Automate & Audit Cloud Governance & Compliance in Your Landing Zone (ENT315-R...Amazon Web Services
The document discusses automating and auditing cloud governance and compliance in AWS landing zones. It describes establishing foundational accounts and organizational structures using AWS Organizations and shared services accounts. It also discusses implementing logging, monitoring and auditing of activity and configurations using services like AWS CloudTrail, AWS Config, and AWS Lambda. The document provides examples of automating security responses by sending events to responders using AWS Lambda.
Shift-Left SRE: Self-Healing with AWS Lambda Functions (DEV313-S) - AWS re:In...Amazon Web Services
Even the best continuous delivery and DevOps practices cannot guarantee that there will be no issues in production. The rise of Site Reliability Engineering (SRE) has promoted new ways to automate resilience into your system and applications to circumvent potential problems, but it’s time to “shift-left” this effort into engineering. In this session, learn to leverage AWS Lambda functions as “remediation as code.” We show how to make it part of your continuous delivery process and orchestrate the invocation of Self-Healing Lambda functions in case of unexpected situations impacting the reliability of your system. Gone are the days of traditional operation teams—it’s the rise of “shift-lefters”! This session is brought to you by AWS partner, Dynatrace.
Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...Amazon Web Services
Companies have to process, analyze, and extract meaning from ever-growing volumes of audio, image, and video data. Automating media workflows, such as image and video indexing or manual transcription for closed captions, can help you scale the growth of your media library and save time from manual, error-prone work. In this workshop, you learn how to automate workflows using the Media Analysis Solution, which includes Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. You learn how to extract metadata from media files and create a searchable library of metadata.
Operationalizing Microsoft Workloads (WIN320) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss best practices and approaches for managing your Microsoft Windows-based infrastructure on AWS. We describe the AWS services that can help you manage Windows servers at scale and realize the maximum benefit of the cloud. In addition, we show you how to build simple and effective solutions to manage logging, configuration drift, inventory, licensing, and more. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...Amazon Web Services
The document discusses Amazon EC2 high memory instances certified for running SAP HANA in-memory database workloads. It introduces new EC2 bare metal instance types with up to 12TB of memory and describes how they provide a simple, flexible way to elastically scale SAP HANA deployments in the AWS cloud. Case studies are presented showing how Whirlpool Corporation has used high memory instances to gain agility and speed for their SAP environments.
Serverless Video Ingestion & Analytics with Amazon Kinesis Video Streams (ANT...Amazon Web Services
Amazon Kinesis Video Streams makes it easy to capture live video, play it back, and store it for real-time and batch-oriented ML-driven analytics. In this session, we first dive deep on the top five best practices for getting started and scaling with Amazon Kinesis Video Streams. Next, we demonstrate a streaming video from a standard USB camera connected to a laptop, and we perform a live playback on a standard browser within minutes. We also have on stage members of Amazon Go, who are building the next generation of physical retail store experiences powered by their "just walk out" technology. They walk through the technical details of their integration with Kinesis Video Streams and highlight their successes and difficulties along the way.
Running Enterprise Test/Dev on Amazon EC2 Spot Instances (CMP407-R1) - AWS re...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances for test and development workloads. It begins with an introduction to EC2 Spot Instances and their cost benefits. It then explores using Spot Instances for various test and development use cases like builds, testing, and load testing. It provides tips for handling interruptions and using EC2 Fleet to launch a diversified set of Spot Instances. The presentation was scheduled for November 29th at 1:00 PM.
The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AW...Amazon Web Services
In this session, we share the top 10 lessons learned from migrating the online transaction processing (OLTP) and data warehouse (DW) databases used by Amazon.com to AWS services, such as Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Redshift, and Amazon DynamoDB. We discuss the challenges associated with operating and managing legacy OLTP and DW databases at Amazon.com scale and how the Amazon.com team successfully executed the database freedom program across different organizations and geographies.
Rightsizing Your Silicon Design Environment: Elastic Clusters for EDA Workloa...Amazon Web Services
The static nature of on-premises electronic design automation (EDA) data centers can limit workloads from scaling to meet unforeseen deadlines and aggressive tape-out schedules. The elasticity of the cloud puts virtually unlimited compute capacity at your fingertips and can enable semiconductor companies to quickly scale up in ways they couldn't before, reducing time to market. In this hands-on workshop, you work alongside solutions architects and the AWS internal silicon design infrastructure team to dive deep into scalable architectures for designing chips in the cloud. You deploy an elastic computing cluster that is optimized for EDA workloads and scales dynamically using AWS services. We cover compute, storage, network, security options, and best practices. Within your AWS account, you will retain a silicon design environment running in the cloud. Come prepared to build with a laptop and an existing AWS account. AWS credits will be provided.
AWS for Manufacturing: Digital Transformation throughout the Value Chain (MFG...Amazon Web Services
The document discusses how various manufacturing companies are using AWS to drive digital transformation across their value chains. It provides examples of Airbus using AWS to build a global data platform to gather aircraft performance data and SKF using AWS IoT services to connect smart products with smart factories. It also shares how Georgia-Pacific is establishing an "enterprise data lake" on AWS to power advanced analytics across its manufacturing operations.
M&E Leadership Session: The State of the Industry, What's New from AWS for M&...Amazon Web Services
In this wide-ranging keynote session, first hear from AWS VP Carla Stratfold on the major forces affecting the industry, then learn from AWS Global M&E Tech Lead Usman Shakeel about the latest and most exciting releases coming out of re:Invent relevant to the M&E industry. And finally, hear how technical leaders at the forefront of the industry are responding to accelerating changes in the media landscape.
Scalable Multi-Node Deep Learning Training in the Cloud (CMP368-R1) - AWS re:...Amazon Web Services
Developing and optimizing machine learning (ML) models is an iterative process. It involves frequently training and retraining models with new data and optimizing model and training parameters to increase prediction accuracy. At the same time, to drive higher prediction accuracy, models are getting larger and more complex, thus increasing the demand for compute resources. In this chalk talk, AWS and Fast.ai will share best practices on how to optimize AWS infrastructure to minimize deep learning training times by using distributed/multi-node training.
Serverless State Management & Orchestration for Modern Apps (API302) - AWS re...Amazon Web Services
The document discusses serverless state management and orchestration using AWS Step Functions. It provides examples of how companies like Xylem, Coinbase, Granular and Novartis Institutes for Biomedical Research have used Step Functions to build modern applications. Specifically, it highlights how Step Functions enabled these companies to scale workflows, integrate legacy and modern systems, improve reliability and reduce costs. The document also provides technical details on how Step Functions can be used to orchestrate tasks and process large datasets across multiple AWS services.
Operationalizing Your Analysis with AWS IoT Analytics (IOT358-R1) - AWS re:In...Amazon Web Services
AWS IoT Analytics makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity required to build your own IoT analytics platform. It collects and prepares data for analysis and also lets you explore and visualize your IoT data so you can make better and more accurate business decisions. AWS IoT Analytics is a fully managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases. Models built and trained in AWS IoT Analytics can be run on connected devices. Join us for a deep dive and demo on how to operationalize your analytical workflows with AWS IoT Analytics.
1. Cloud Adoption Journey reference framework to help Teams move to Cloud and become Cloud Native
2. Define basic Pillars to include Security & Compliance, Costs Optimization, Scalability and Performance as well as Operational Excellence, AWS Well-Architected as guidance
3. Goal is to assess and guide Companies/Teams in Portfolio to faster adopt and evolve Cloud concepts to focus on Business value
4. Governance as a key driver to boost flexibility, reduce risks and foster efficiency
5. Enterprise Transformation Architecture offerings
Maximize Innovation and Agility by Building Your SaaS Solution on AWS (GPSBUS...Amazon Web Services
AWS Partner Network (APN) Partners seek a SaaS delivery model for their products to support rapidly changing customer business needs, save costs, and expand market value. AWS has over ten years of experience supporting thousands of ISVs who use AWS services and products as the foundation for their software business, leveraging our rapid pace of service and product innovation, pay-as-you-go pricing, scale and availability, security and compliance, and global reach. In this session, you hear directly from partners who have successfully built their SaaS business on AWS, including how they transformed their business, the impact on business and customers, and ways they used the APN along the way.
Easy Rider: How ML, Serverless, and IoT Drive Mobility as a Service (AMT302) ...Amazon Web Services
Vehicle mobility is evolving, from traditional rental and fleet services, to car sharing, ride hailing, and future driverless services. Mobility providers need an agile, scalable, digital platform to manage all aspects of their fleet and its usage. In this session, Avis Budget Group (ABG) and Slalom walk through their serverless mobility platform using the AWS connected vehicle reference architecture, Amazon SageMaker, Amazon Kinesis Data Analytics, and AWS Lambda. Learn the practical application of using AWS IoT to connect vehicles and Amazon SageMaker to apply machine learning to uncover insights for use cases, including vehicle inventory, shuttling efficiency, driver behavior, and vehicle trajectory analysis to identify fraudulent vehicle usage. We dive deep into the overall solution and services mentioned above, as well as the operations dashboard ABG created with Uber's open source framework, deck.gl.
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...Amazon Web Services
Every M&E migration strategy to AWS requires the customer and partners to design and implement a content ingest workflow. These services vary from simple file transfer to fairly complex workflows that do quality control, proxy creation, and metadata augmentation. In this session, we present a baseline process for moving content into a Media Asset Management system in AWS, leveraging common open-source tools for asset registry and using AWS ML services to augment the metadata associated with assets. We also talk about common considerations that M&E organizations should consider when moving their assets and workflows to the cloud. Topics include metadata input, modeling, storage services and policies, security considerations, and managing increased content demands. We also visit the different storage tiers for different archive use cases and offer a TCO model.
All About the Customer: GraphQL & Real-Time Subscriptions in Customer Service...Amazon Web Services
ALDO wanted to improve in-store customer experience by offering rapid personalized assistance. In this session, follow ALDO’s journey in adopting GraphQL and serverless technologies for their in-store modern apps. Learn how this global fashion brand is offering elevated real-time, personalized customer experiences while optimizing in-store retail operations. Hear how they integrated with their existing infrastructure, along with other challenges. They also share best practices that they are carrying forward for future apps.
Real-Time Web Analytics with Amazon Kinesis Data Analytics (ADT401) - AWS re:...Amazon Web Services
Knowing what users are doing on your websites in real time provides insights you can act on without waiting for delayed batch processing of clickstream data. Watching the immediate impact on user behavior after new releases, detecting and responding to anomalies, situational awareness, and evaluating trends are all benefits of real-time website analytics. In this workshop, we build a cost-optimized platform to capture web beacon traffic, analyze it for interesting metrics, and display it on a customized dashboard. We start by deploying the Web Analytics Solution Accelerator, then once the core is complete, we extend their solution to capture new and interesting metrics, process those with Amazon Kinesis Analytics, and display new graphs on their custom dashboard. Participants come away with a fully functional system for capturing, analyzing, and displaying valuable website metrics in real time.
Modernizing .NET Applications on AWS (GPSCT204) - AWS re:Invent 2018Amazon Web Services
Many customers move to the cloud to innovate faster and gain more business agility. In order to recognize these benefits of the cloud, many customers are migrating their .NET applications to AWS, whilst innovating faster by taking advantage of cloud-native services. In this session, we will go through application modernization journey for a .NET application to AWS, and walkthrough Containerization as an option. We also discuss how easy it is for the customers to transform their business applications using AWS while using the familiar Microsoft toolset and workflows.
Listen to Your Customers' Social Voice & Engage Them with Delightful Experien...Amazon Web Services
In this session, we demonstrate how to easily deploy an AWS solution that ingests all Tweets from any Twitter handle, uses Amazon Comprehend to generate a sentiment score, and then automatically engages customers with a personalized message. The intended audience includes developers and marketers who want to leverage AWS to create powerful user engagement scenarios. We highlight how quickly a machine-learning marketing solution can be deployed. We cover the AWS services Amazon Pinpoint, a digital user engagement service, and Amazon Comprehend, a natural language processing service that uses artificial intelligence and machine learning to find insights and relationships in text.
Automate & Audit Cloud Governance & Compliance in Your Landing Zone (ENT315-R...Amazon Web Services
The document discusses automating and auditing cloud governance and compliance in AWS landing zones. It describes establishing foundational accounts and organizational structures using AWS Organizations and shared services accounts. It also discusses implementing logging, monitoring and auditing of activity and configurations using services like AWS CloudTrail, AWS Config, and AWS Lambda. The document provides examples of automating security responses by sending events to responders using AWS Lambda.
Shift-Left SRE: Self-Healing with AWS Lambda Functions (DEV313-S) - AWS re:In...Amazon Web Services
Even the best continuous delivery and DevOps practices cannot guarantee that there will be no issues in production. The rise of Site Reliability Engineering (SRE) has promoted new ways to automate resilience into your system and applications to circumvent potential problems, but it’s time to “shift-left” this effort into engineering. In this session, learn to leverage AWS Lambda functions as “remediation as code.” We show how to make it part of your continuous delivery process and orchestrate the invocation of Self-Healing Lambda functions in case of unexpected situations impacting the reliability of your system. Gone are the days of traditional operation teams—it’s the rise of “shift-lefters”! This session is brought to you by AWS partner, Dynatrace.
Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...Amazon Web Services
Companies have to process, analyze, and extract meaning from ever-growing volumes of audio, image, and video data. Automating media workflows, such as image and video indexing or manual transcription for closed captions, can help you scale the growth of your media library and save time from manual, error-prone work. In this workshop, you learn how to automate workflows using the Media Analysis Solution, which includes Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. You learn how to extract metadata from media files and create a searchable library of metadata.
Operationalizing Microsoft Workloads (WIN320) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss best practices and approaches for managing your Microsoft Windows-based infrastructure on AWS. We describe the AWS services that can help you manage Windows servers at scale and realize the maximum benefit of the cloud. In addition, we show you how to build simple and effective solutions to manage logging, configuration drift, inventory, licensing, and more. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...Amazon Web Services
The document discusses Amazon EC2 high memory instances certified for running SAP HANA in-memory database workloads. It introduces new EC2 bare metal instance types with up to 12TB of memory and describes how they provide a simple, flexible way to elastically scale SAP HANA deployments in the AWS cloud. Case studies are presented showing how Whirlpool Corporation has used high memory instances to gain agility and speed for their SAP environments.
Serverless Video Ingestion & Analytics with Amazon Kinesis Video Streams (ANT...Amazon Web Services
Amazon Kinesis Video Streams makes it easy to capture live video, play it back, and store it for real-time and batch-oriented ML-driven analytics. In this session, we first dive deep on the top five best practices for getting started and scaling with Amazon Kinesis Video Streams. Next, we demonstrate a streaming video from a standard USB camera connected to a laptop, and we perform a live playback on a standard browser within minutes. We also have on stage members of Amazon Go, who are building the next generation of physical retail store experiences powered by their "just walk out" technology. They walk through the technical details of their integration with Kinesis Video Streams and highlight their successes and difficulties along the way.
Running Enterprise Test/Dev on Amazon EC2 Spot Instances (CMP407-R1) - AWS re...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances for test and development workloads. It begins with an introduction to EC2 Spot Instances and their cost benefits. It then explores using Spot Instances for various test and development use cases like builds, testing, and load testing. It provides tips for handling interruptions and using EC2 Fleet to launch a diversified set of Spot Instances. The presentation was scheduled for November 29th at 1:00 PM.
The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AW...Amazon Web Services
In this session, we share the top 10 lessons learned from migrating the online transaction processing (OLTP) and data warehouse (DW) databases used by Amazon.com to AWS services, such as Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Redshift, and Amazon DynamoDB. We discuss the challenges associated with operating and managing legacy OLTP and DW databases at Amazon.com scale and how the Amazon.com team successfully executed the database freedom program across different organizations and geographies.
Rightsizing Your Silicon Design Environment: Elastic Clusters for EDA Workloa...Amazon Web Services
The static nature of on-premises electronic design automation (EDA) data centers can limit workloads from scaling to meet unforeseen deadlines and aggressive tape-out schedules. The elasticity of the cloud puts virtually unlimited compute capacity at your fingertips and can enable semiconductor companies to quickly scale up in ways they couldn't before, reducing time to market. In this hands-on workshop, you work alongside solutions architects and the AWS internal silicon design infrastructure team to dive deep into scalable architectures for designing chips in the cloud. You deploy an elastic computing cluster that is optimized for EDA workloads and scales dynamically using AWS services. We cover compute, storage, network, security options, and best practices. Within your AWS account, you will retain a silicon design environment running in the cloud. Come prepared to build with a laptop and an existing AWS account. AWS credits will be provided.
AWS for Manufacturing: Digital Transformation throughout the Value Chain (MFG...Amazon Web Services
The document discusses how various manufacturing companies are using AWS to drive digital transformation across their value chains. It provides examples of Airbus using AWS to build a global data platform to gather aircraft performance data and SKF using AWS IoT services to connect smart products with smart factories. It also shares how Georgia-Pacific is establishing an "enterprise data lake" on AWS to power advanced analytics across its manufacturing operations.
M&E Leadership Session: The State of the Industry, What's New from AWS for M&...Amazon Web Services
In this wide-ranging keynote session, first hear from AWS VP Carla Stratfold on the major forces affecting the industry, then learn from AWS Global M&E Tech Lead Usman Shakeel about the latest and most exciting releases coming out of re:Invent relevant to the M&E industry. And finally, hear how technical leaders at the forefront of the industry are responding to accelerating changes in the media landscape.
Scalable Multi-Node Deep Learning Training in the Cloud (CMP368-R1) - AWS re:...Amazon Web Services
Developing and optimizing machine learning (ML) models is an iterative process. It involves frequently training and retraining models with new data and optimizing model and training parameters to increase prediction accuracy. At the same time, to drive higher prediction accuracy, models are getting larger and more complex, thus increasing the demand for compute resources. In this chalk talk, AWS and Fast.ai will share best practices on how to optimize AWS infrastructure to minimize deep learning training times by using distributed/multi-node training.
Serverless State Management & Orchestration for Modern Apps (API302) - AWS re...Amazon Web Services
The document discusses serverless state management and orchestration using AWS Step Functions. It provides examples of how companies like Xylem, Coinbase, Granular and Novartis Institutes for Biomedical Research have used Step Functions to build modern applications. Specifically, it highlights how Step Functions enabled these companies to scale workflows, integrate legacy and modern systems, improve reliability and reduce costs. The document also provides technical details on how Step Functions can be used to orchestrate tasks and process large datasets across multiple AWS services.
Operationalizing Your Analysis with AWS IoT Analytics (IOT358-R1) - AWS re:In...Amazon Web Services
AWS IoT Analytics makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity required to build your own IoT analytics platform. It collects and prepares data for analysis and also lets you explore and visualize your IoT data so you can make better and more accurate business decisions. AWS IoT Analytics is a fully managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases. Models built and trained in AWS IoT Analytics can be run on connected devices. Join us for a deep dive and demo on how to operationalize your analytical workflows with AWS IoT Analytics.
1. Cloud Adoption Journey reference framework to help Teams move to Cloud and become Cloud Native
2. Define basic Pillars to include Security & Compliance, Costs Optimization, Scalability and Performance as well as Operational Excellence, AWS Well-Architected as guidance
3. Goal is to assess and guide Companies/Teams in Portfolio to faster adopt and evolve Cloud concepts to focus on Business value
4. Governance as a key driver to boost flexibility, reduce risks and foster efficiency
5. Enterprise Transformation Architecture offerings
Maximize Innovation and Agility by Building Your SaaS Solution on AWS (GPSBUS...Amazon Web Services
AWS Partner Network (APN) Partners seek a SaaS delivery model for their products to support rapidly changing customer business needs, save costs, and expand market value. AWS has over ten years of experience supporting thousands of ISVs who use AWS services and products as the foundation for their software business, leveraging our rapid pace of service and product innovation, pay-as-you-go pricing, scale and availability, security and compliance, and global reach. In this session, you hear directly from partners who have successfully built their SaaS business on AWS, including how they transformed their business, the impact on business and customers, and ways they used the APN along the way.
The document summarizes sessions from the AWS re:Invent 2018 conference related to digital advertising and machine learning. It provides an index of breakout sessions, chalk talks, and workshops on topics like using Amazon Rekognition for video analysis, global cloud architecture, and real-time targeted advertising. A highlighted session discusses how The Trade Desk has evolved to use AI/ML techniques and another session describes how VidMob leverages Amazon Rekognition for video creative asset production and analysis.
The document discusses transitioning from a monolithic architecture to microservices and containers. It describes how Moka transformed its architecture using AWS services like ECS, Fargate, and Step Functions. This allowed Moka to scale its business 600% in a year while improving latency, innovation, and developer productivity through a more flexible architecture. The document also provides recommendations around configurations, CI/CD pipelines, and coordinating microservices.
Building Volkswagen Group's Digital Ecosystem (AMT304) - AWS re:Invent 2018Amazon Web Services
Volkswagen has built a One Digital Platform (ODP) based on AWS to power its digital transformation and develop new mobility solutions. The ODP provides a flexible cloud-native architecture and will extend connectivity to vehicles. Volkswagen migrated over 100 applications to the ODP within 14 months to support new vehicle launches. Lessons learned included adopting an evolutionary approach, aligning platform development with application needs, investing in new skills, and gaining acceptance across functions. Next steps involve refactoring applications, modularizing code, and scaling the platform to support 15 million connected vehicles.
The document discusses lessons learned from Jonathan Allen's career in enterprise IT and strategies for moving to the cloud. It covers compelling reasons for cloud migration like agility, cost reduction, and facility decisions. It also discusses challenges of reskilling employees and account setup hurdles. The rest of the document outlines methods for modern product development using DevOps, agile teams, and design thinking. It emphasizes the importance of continuous testing and achieving organizational flow.
Leadership Session: The Future of Enterprise IT (ENT220-L) - AWS re:Invent 2018Amazon Web Services
The document discusses the future of enterprise IT and cloud computing. It notes that IT organizations are moving away from traditional monolithic applications towards microservices, containers, serverless computing, and machine learning. Companies are adopting a more product-centric model where small cross-functional teams focus on individual products and services. It also discusses how companies can build security into their processes from the start and train their workforce on cloud technologies.
Starting your Cloud Transformation Journey - Tel Aviv Summit 2018Amazon Web Services
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
Starting your Cloud Transformation Journey - Tel Aviv Summit 2018Boaz Ziniman
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
Transforming Product Development- AWS Transformation Day Raleigh 2018.pdfAmazon Web Services
Many enterprises who are embarking on a journey to the cloud view this effort as an opportunity to transform their operations and development practices. DevOps, agile software development, and design thinking are the popular methodologies that are being used to create a more customer-centric mindset and speed up the delivery of new products & features. This session breaks down the essential components of each methodology and provides best practices on navigating the challenges that are commonly encountered when adopting these methods during a cloud migration.
Best Practices for Safe Deployments on AWS Lambda and Amazon API Gateway (SRV...Amazon Web Services
Deploying frequently is fundamental to reduce the feedback loop and increase developer productivity. There are multiple features available in AWS Lambda, Amazon API Gateway and AWS SAM that can be used to implement a continuous deployment pipeline using safe deployment strategies such as canary releases. In this session, we'll review the possible options applied to different scenarios such as microservices architectures, chaos engineering, and A/B testing, to find out the best practices for your use cases. You will also hear how teams at Capital One created a deployment pipeline using AWS SAM and AWS CodeDeploy for canary deployments for the Capital One Credit Offers API, which is built on Golang and AWS Lambda.
Transforming Product Development- Transformation Day Philadelphia 2018Amazon Web Services
Many enterprises who are embarking on a journey to the cloud view this effort as an opportunity to transform their operations and development practices. DevOps, agile software development, and design thinking are the popular methodologies that are being used to create a more customer-centric mindset and speed up the delivery of new products & features. This session breaks down the essential components of each methodology and provides best practices on navigating the challenges that are commonly encountered when adopting these methods during a cloud migration.
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past you had to provision and scale servers to run your application code install and operate distributed databases and build and run custom software to handle API requests. Now AWS provides a stack of scalable fully-managed services that eliminates these operational complexities. In this session you will learn about the the basics of serverless and especially how your business can benefit from it.
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
The document discusses how application platforms and AWS can work together to help customers build and modernize hybrid applications. It describes how application platforms provide capabilities for self-service provisioning, automation, and standards-based development that integrate well with the elasticity, availability, and security of AWS. The document outlines a hybrid journey where applications can start on application platforms and gradually move capabilities to AWS for better performance, cost optimization, and scalability.
Building Microservices with Containers (CON308-R1) - AWS re:Invent 2018Amazon Web Services
Microservices are minimal function services that are deployed separately, but can interact together to function as a broader application. Microservices can be built, changed, and deployed quickly with a relatively small impact, empowering developers to speed up the rate of innovation. In this session, we show how containers help enable microservices-based application architectures, discuss best practices for building new microservices, and cover the AWS services that allow you to build performant microservices applications.
Transforming Product Development - AWS Transformation Day Boston 2018Amazon Web Services
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Transforming Product Development - AWS Transformation Day 2018: DetroitAmazon Web Services
Many enterprises who are embarking on a journey to the cloud view this effort as an opportunity to transform their operations and development practices. DevOps, agile software development, and design thinking are the popular methodologies that are being used to create a more customer-centric mindset and speed up the delivery of new products & features. This session breaks down the essential components of each methodology and provides best practices on navigating the challenges that are commonly encountered when adopting these methods during a cloud migration.
About the event
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Who should attend?
This event is recommended for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud. CIOs, CTOs, CISOs, CDOs, CFOs, IT leaders and IT professionals, enterprise developers, business decision makers, and finance executives.
How can your business benefit from going serverless?Adrian Hornsby
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code to install and operate distributed databases and build and run custom software to handle API requests. Now AWS provides a stack of scalable fully-managed services that eliminates these operational complexities. In this session, you will learn about the basics of serverless and especially how your business can benefit from it.
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
Starting your cloud journey - AWSomeDay IsraelBoaz Ziniman
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
Similar to Leadership Session: AWS Automotive - Paving the Way for the Future of the Automotive Industry (AMT201-L) - AWS re:Invent 2018 (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.
32. Page 32BMW Group | AWS re:Invent 2018
THE PLATFORM CONSOLIDATES THE VEHICLE PRODUCTS AS SERVICES.
~7
Engines
~12
Colors
~14
Wheels
~11
Upholstery
~7
Trims
~90
Optional
Equipment
many possibilitiesto configure your dream car
=
OUR PLATFORM CONSOLIDATES THE VEHICLE PRODUCTS AS SERVICES.
33. Page 33BMW Group | AWS re:Invent 2018
EXAMPLES OF FRONTENDS WHICH USE OUR CONFIGURATOR PLATFORM.
Dealer iPad Configurator bmw.de mini.at bmw-motorrad.de 26+ Systems
34. Page 34BMW Group | AWS re:Invent 2018
UNIFIED CONFIGURATOR PLATFORM: CENTRAL
ENGAGEMENT PLATFORM AS BUSINESS ENABLER.
Unified Configurator Platform
Accessories
Product Data
Officialtechnical
Data
Net-Gross-Price
Calculation
Virtual Garage
Constructability
Check
Data Import Data Generation
Product Data Technical Data …
consumes API
...
Technical
Calculations
Key facts:
- RESTful API
- used by ~30 products
- hundreds of Mio API
calls per month
- supports all BMW Group
brands and markets
36. Page 36BMW Group | AWS re:Invent 2018
A MONOLITHIC SYSTEM ISN‘T BYDEFINITION A BAD THING.
Monolith
Team
clients
Benefits:
Fast development of a first production ready MVP
No need to handle the challenges of a distributed system
Challenges and driving factors for going the next step:
Increased number of requirements led to an increase of
the overall complexity
37. Page 37BMW Group | AWS re:Invent 2018
MICROSERVICES WITH API-FIRST STRATEGY: ENABLES FASTER DEVELOPMENT AND
INCREASED TRANSPARANCY.
Benefits:
Increased transparency for API consumer due to API
first approach
Multiple teams can work independently
Challenges and driving factors for going the next
step:
Latency performance to provide our service on a world
wide basis
Broader solution scope needed to satisfy business
needs
Teams
clients
MS
MS
MS
MS
40. Page 40BMW Group | AWS re:Invent 2018
GAME CHANGER: BRINGING THE MICROSERVICES IN A „LIFT-THINK-SHIFT“-APPROACH
TO AWS.
AWS Elastic Beanstalk
AWS API-Gateway
AWS ECS + AWS Batch
AWS RDS
AWS-Cloud
Glassfish 4
Microservice
Software Business Logic
API Specification Transformation into API-GW
Transformation from
ORACLEto Postgres
API-Sec. Auth. Information
Dockerize the business logic
Specifications
WEB-EAM Master Solution
On-Premise Off-Premise
API-Interface (generated)
Authentication Information
Docker + GF4
Microservice DB
Software Business Logic
Rewrite import procedures
from PL/SQLto Java
Microservice DB
Import Job
Docker
Software Import Job
42. Page 42BMW Group | AWS re:Invent 2018
MOVINGTO AWS ENABLED US TO INCREASE OUR IN-HOUSE EFFORT.
DEV OPS
Code Deploy
Test Monitor
DEV OPS
Code Deploy
Test Monitor
BEFORE NOW
43. Page 43BMW Group | AWS re:Invent 2018
TRANSITIONING TO AWS WITH 100% IN-HOUSE EFFORT PAID OFF.
- Reduced timeto market – daily releases instead of 3 major releases per year.
- Supports agile culture for flexible and continuous improvements.
- Enables building solutions on state of the art technologies.
- Enables new business opportunities.
44. LEARN MORE
Visit the re:Invent website to view our session from yesterday
AMT305 – Building BMW Group’s Customer Engagement Platform on AWS
Highlight how AWS provides the resources and capabilities to enable companies of any size and in any industry to innovate and change to be digital innovators
We know that the industry is undergoing a transformation unlike anything it has faced in the past.
Driven by mega trends like Ubiquitous Connectivity, Cloud Computing, Powertrain Electrification, and the Sharing Economy
But also a shift in consumer mindset – they are eschewing traditional automotive purchase reasons and focus more on experiences, and personalized interactions and the mobile revolution has created expectations that their digital lives should follow them wherever they go
For the auto industry, the convergence of these factors is unlike anything we have experienced in the past – these are changes to the fundamental way the customers purchase and drive cars and forcing the entire industry to rethink their brands and business.
https://venturebeat.com/2017/03/22/why-ai-will-drive-the-future-of-connected-cars-starting-now/
In short - Every automotive company will be a technology company
This is a major change to a century-old industry who’s primary focus has been on the hardware: QRD, Fuel Economy, Performance
Now in addition to developing compelling, safe and efficient products, you also have to have a software focus both inside and outside of the vehicle
Now, a customer will choose a vehicle based on weather it has Car Play or not
Our role in the value chain is as an enabler – and we do this in 4 primary ways
Our core IT infrastructure services of Compute, Storage, Networking, Data Base and many others –
Next is a range of digital products and solutions that provide the capability to deliver advanced functionality to our customers
We take this vast toolset that we have and develop reference architectures that allow customers to get started using the most secure, efficient and powerful architecture
And finally, by working with other Amazon Business units and a wide variety of partners to develop automotive solutions that are market ready
When we approach the business, our focus is on 6 core areas. The primary focus is on product solutions around Connected Vehicles, Autonomous Driving Development and Digital Customer Engagement. This is where the marketing is focused and you will see this reflected in our AWS for Automotive web site.
But we also are working through our account teams on the enterprise solutions, such as applications for big data and analytics for predictive maintenance, and marketing applications; High Performance Computing for the R&D divisions and other Enterprise workloads like ERP, SAP, website platforms and call centers.
Exlain product solutions means….
Connected Vehicle Services Platform
Connected Consumer Initiatives – Mobile, B2C, Digital Marketing
Location-based Services
Alexa Voice Integration
In-vehicle App Store and Payments
Amazon Music, Audible, Prime Video
Logistics and Prime Now
Autonomous Vehicle Driving Development
Machine Learning - Predictive Diagnostics
Machine Learning – Targeted Offers
So today we are delighted to be joined by three of our customers who are leading the digital transformation in the automotive industry to tell their stories of how AWS helps them. What is interesting, is that even though each company will be talking about a different area of transformation, you will hear similar themes of how AWS has enabled them to transform their entire organization to be more agile, innovative and responsive to the business and ultimately, their end customer.
To get us started, I would like to introduce Peter Garzarella, head of SW development at Volkswagen Group
Wrap up by inviting others to attend your session
I would like to take you on to our journey on how we modernized our digital customer engagement platform by migrating our monolithic backend to a microservice-based platform and subsequently leveraging multiple AWS services.
- Let us start by talking about a common use case:
Can you image how many possibilties you have to configure your dream car?
For example for the brand new BMW 3 series you have the following possibilities to configure your dream car. You can choose from:
So from a frontend perspektiv you need on the one hand all the vehicle data to visualize it for the customer and on the other hand functionalities like a constructability check, to check if the dream car configuration of our customer is constructable.
Within the BMW Group there existed a huge demande to get the car informations and functionalities from a central platform
So that not everyone needs to take care about where to get the vehicle data from and to rebuilding commonly used functionalities
Therefor we created the unified Configurator Platform that is currently used by more then 30 Applications/Frontends.
As an example our Platform is used from
various car configurators that are for example implemented as nativ iOS Applications or Web Frontends
But our platform is also used for example for getting relevant data for AI purposes or for creating invoices
Let us now have a look on our platform from a high level perspective
We are providing a RESTFul API that exposes all necessary product data and functionalities like
The constructability check / Price calucation services / or to save a customer car configuration within a virtual garage
To expose the data we are frequently importing data from the BMW Group backend systems
Our platform surves currently hundreds of Mio API calls per month on a world wide basis
And our platform is supporting all BMW Group brands and all markets
I would like to talk now about our journey from a monolith system to microservices
And followed that about the important strategic change we did and the transition to AWS
It‘s nowadays modern and everyone is talking about microservices.
But from our view a monolithic system has also advantages:
We started at the beginning with a monolithic system that allowed us to have a fast development of a first production ready MVP
And we do not had the need to handle the challenges of a distributed system just at the beginning like:
Data Synchronization / Debugging and logging and so on…
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Nevertheless as the monolithic system growed we were faced with the challenges a monolith provide:
Small changes led to a rebuild of the complete application
Implementing new requirments led to a lot of refactoring
In a nutshell: The monolith became to complex and the Implementation became slow and we couldn‘t hold on to the development speed that we had at the beginning – So it was time to break up the monolith!
At the same time as we broke up the monolith into microservice to handle the complexability, we also introduced the API first approach.
The API first approach helps us to get all our stakeholders on the same page and to specify the API upfront before the actual implementation starts
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As our platform became more and more popular - new challenges came allong:
How can we provide our platform on a world wide basis by having low latencies?
How can we get a broader solution scope to satisfy business needs with state of the art technologies?
In a nutshell: The microservices helped us to handle the complexity but it was now time to bring the microservices to next level:
But before bringing the Microservices to next level we did in our oppinion an important strategic change!
By Looking from a historical perspektiv: Many companies tried to reduce costs by outsourcing their IT.
But nowadays IT becomes more and more an enabler and a strategic asset to have inhouse
Therfor we decided to getting the IT back inhouse.
In our oppinon together with the services and automation posibilities that the cloud provides today, it‘s worthwhile to evaluate if the transformation from on-prem to off-prem is feasable with inhouse effort.
We did so and it was the best decision we could made!
Let’s see how we did the transition to AWS:
<go step by step through the layers>
- As you can se for us it was important to have as many managed services as possible so that we can benefit 100% from the potential the cloud provides today and that we can focus on our main mission to provide new platform services for the BMW Group.
Before doing the transition to AWS in 100% in-house effort:
Our work was mainly driven from an architectural perspectiv, we described how the architecture should look like and defined the software to build
Now we are taking on more on more phases from the DEV/OPS-Cycle:
We take care of the complete CI/CD Pipeline
We develop more and more of the software components inhouse
We are doing most of the operation tasks inhouse with providing 24/7 on call
So We are coming more and more in the situation of „you build / you run it“
The strategic step of getting back the IT was for now the absolut right decision.
It helps to build up sustainable knowledge within the bmw group and last but not least it also led to an increase of job satisfaction.
As we are now again able to do what we IT folks love – to build new solutions!
Besides on the really important fact of getting the IT back in-house we do also have a couple of other achivments through out our transition to AWS:
We can now deploy downtime free our software on a daily basis instead of having 3 major releases per year – which lead to a Reduced time to market
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The overall package of functionalities the cloud provides supports also an Agile culture: of exploration and of providing new platform functionalites faster and be prepared for any grows.
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We are now able to build solutions on state of the art technologies and are not limited any more to a given tech stack
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And last but not least: We are now able to adequately support new business opportunities like for example online sales where among others high availability is an import factor.
Summarize by encouraging people to download the session
Formed in January 2016
Investigated various providers, selected AWS as best fit
What really matters is autonomy for people. We’re working to improve lives by giving everyone the freedom to move – whether across town or across the room.
We are applying artificial intelligence to help Toyota produce cars in the future that are safer, more accessible and more environmentally friendly.
We are expanding artificial intelligence technology into new applications by strengthening and refining the interaction between human and machine
How safe is safe enough?
We believe automated vehicle technology will help save lives. TRI has been taking a dual-path approach to automated driving, Guardian and Chauffeur modes. Guardian and Chauffeur modes are being designed to give consumers a choice.
In the Guardian approach, the human driver maintains vehicle control, and the automated driving system operates in the background, monitoring for potential crash situations. It can intervene to help protect vehicle occupants when needed.
Chauffeur is TRI’s version of full vehicle autonomy where all occupants are passengers as the car drives itself.
Rich sensor suite – often have multiple, cameras, lidar, radar sensors
Generate 1 TB per hour / car of data
How much data is enough?
https://devblogs.nvidia.com/training-self-driving-vehicles-challenge-scale/
1 Tb/hr -> 2.2Gbit/s
Netflix Ultra HD stream is ~25Mbit/s (https://help.netflix.com/en/node/306)
How do you scale out to process all the data once you’ve collected it?
Meet the demands of all potential workloads?
How do you stay up to date with hardware advances?
- Technology continues to change, do you want to invest in hardware that has a 3 or 5 year depreciation, but might no longer meet your needs in 2 years?
Build: Experiment and build a promising model on small dataset
CI: Make sure code base is free of defects and bugs
Train and tune: Make the model work with larger datasets and optimize it
Prepare a model for deployment and validate it
Build: Experiment and build a promising model on small dataset
CI: Make sure code base is free of defects and bugs
Train and tune: Make the model work with larger datasets and optimize it
Prepare a model for deployment and validate it
Deploy model to vehicles
The lower your iteration times, the more productive your researchers and developers.
Talk about log processing pipeline
Talk about clusters
Pytorch
Lots of services to take advantage of, lets you focus on what makes your company different
Leverage others- AWS – truly are customer focused. Work with your account team to get new feature requests in, understand problems, help. ProServe
F7: We knew what we wanted to do with IaC and pipelines
F7 is excellent at this and accelerating our momentum while we work on the unique things to our company
Going back to the “how safe is safe enough” question, if we assume for now that an AV must be 10 times as safe as human driving, that would mean that the fatality rate of AV must be one in 1 trillion miles.
How do we get there and also prove that statistically?
Testing of our prototype vehicles on public roads is certainly not enough. We would need thousands of vehicles running 24 hours and it would still take years and years to prove the safety, because we can never cover every possible traffic scenario.
Therefore, we are using simulation to virtually re-create traffic situations in a computer and run our software, adding adverse conditions such as bad weather and difficult traffic pattern.
We are also putting a lot of effort into gathering data from real drivers so we can train our AI.
Sanat – we still have a lot of great automotive content remaining that I encourage you to attend.