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.
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.
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.
LFS301-SAGE Bionetworks, Digital Mammography DREAM Challenge and How AWS Enab...Amazon Web Services
DREAM Challenges pose fundamental questions about systems biology and translational medicine. Designed and run by a community of researchers from a variety of organizations, the challenges invite participants to propose solutions, fostering collaboration and building communities in the process. The Sage Bionetworks Synapse platform, which powers many research consortiums including the DREAM Challenges, are starting to put into practice model cloud-initiatives that not only provide impactful discoveries in the areas of neuroscience, infectious disease, and cancer, but are also revolutionizing scientific research by enabling an interactive consortium science platform. In this session, you learn how to build a "consortium model" of research in order to connect research organizations with non-profit organizations, technology companies, biotechnology, and pharmaceutical companies. You can also learn about how to leverage machine learning, Amazon ECS, and R for consortium-based science initiatives.
"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."
HLC302_Adopting Microservices in Healthcare Building a Compliant DevOps Pipel...Amazon Web Services
Healthcare organizations are rapidly adopting container technology to drive innovation. In this session, join Horizon Blue Cross Blue Shield of New Jersey and ClearDATA to learn about how to integrate Amazon ECS into your deployment pipeline while maintaining compliance for healthcare workloads, how to harden container environments for sensitive workloads, and how to leverage AWS tooling and microservices to provide new views and analysis for data stored in on-premises data centers.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
AWS Lambda enables you to run code without provisioning or managing servers in one AWS Region. Today, Lambda@Edge provides the same benefits closer to your end users, enabling you to assemble and deliver content on-demand to create low-latency web experiences. Come and join us for examples of how customers can move significant workloads they previously managed server fleets into Lambda for truly serverless website backends.
CMP216_Use Amazon EC2 Spot Instances to Deploy a Deep Learning Framework on A...Amazon Web Services
Deep learning, an implementation of machine learning, uses neural networks to solve complex problems like computer vision, natural language processing, and recommendations. Deep learning libraries and frameworks enable developers to enhance the capabilities of their applications and projects. In this workshop, learn how to build and deploy a powerful deep learning framework, Apache MXNet, on containers. The portability and resource management benefit of containers enables developers to focus less on infrastructure and more on building. The lab first demonstrates the automation capabilities of AWS CloudFormation to stand up core infrastructure. We also leverage Spot Fleet for the cost benefit of using Spot Instances, especially important for developer environments. Next we create an MXNet container in Docker and deploy it with Amazon ECS. Finally, we explore image classification with MXNet to validate that everything is working as expected.
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.
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.
LFS301-SAGE Bionetworks, Digital Mammography DREAM Challenge and How AWS Enab...Amazon Web Services
DREAM Challenges pose fundamental questions about systems biology and translational medicine. Designed and run by a community of researchers from a variety of organizations, the challenges invite participants to propose solutions, fostering collaboration and building communities in the process. The Sage Bionetworks Synapse platform, which powers many research consortiums including the DREAM Challenges, are starting to put into practice model cloud-initiatives that not only provide impactful discoveries in the areas of neuroscience, infectious disease, and cancer, but are also revolutionizing scientific research by enabling an interactive consortium science platform. In this session, you learn how to build a "consortium model" of research in order to connect research organizations with non-profit organizations, technology companies, biotechnology, and pharmaceutical companies. You can also learn about how to leverage machine learning, Amazon ECS, and R for consortium-based science initiatives.
"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."
HLC302_Adopting Microservices in Healthcare Building a Compliant DevOps Pipel...Amazon Web Services
Healthcare organizations are rapidly adopting container technology to drive innovation. In this session, join Horizon Blue Cross Blue Shield of New Jersey and ClearDATA to learn about how to integrate Amazon ECS into your deployment pipeline while maintaining compliance for healthcare workloads, how to harden container environments for sensitive workloads, and how to leverage AWS tooling and microservices to provide new views and analysis for data stored in on-premises data centers.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
AWS Lambda enables you to run code without provisioning or managing servers in one AWS Region. Today, Lambda@Edge provides the same benefits closer to your end users, enabling you to assemble and deliver content on-demand to create low-latency web experiences. Come and join us for examples of how customers can move significant workloads they previously managed server fleets into Lambda for truly serverless website backends.
CMP216_Use Amazon EC2 Spot Instances to Deploy a Deep Learning Framework on A...Amazon Web Services
Deep learning, an implementation of machine learning, uses neural networks to solve complex problems like computer vision, natural language processing, and recommendations. Deep learning libraries and frameworks enable developers to enhance the capabilities of their applications and projects. In this workshop, learn how to build and deploy a powerful deep learning framework, Apache MXNet, on containers. The portability and resource management benefit of containers enables developers to focus less on infrastructure and more on building. The lab first demonstrates the automation capabilities of AWS CloudFormation to stand up core infrastructure. We also leverage Spot Fleet for the cost benefit of using Spot Instances, especially important for developer environments. Next we create an MXNet container in Docker and deploy it with Amazon ECS. Finally, we explore image classification with MXNet to validate that everything is working as expected.
DynamoDB adaptive capacity: smooth performance for chaotic workloads - DAT327...Amazon Web Services
Database capacity planning is critical to running your business, but it’s also hard. In this session we’ll compare how scaling is usually performed for relational databases and NoSQL databases. We’ll look behind the scenes at how DynamoDB shards your data across multiple partitions and servers. Finally, we’ll talk about some of the recent enhancements to DynamoDB that make scaling even simpler, particularly a new feature called adaptive throughput that eliminates much of the throttling issues that you may have experienced.
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.
GPSBUS221_Breaking Barriers Move Enterprise SAP Customers to SAP HANA on AWS ...Amazon Web Services
Migrating mission-critical SAP workloads to AWS allows enterprises to realize business benefits quickly and securely without a significant upfront investment. Today, customers are turning capital expense into operating expense at a record pace and are accelerating business processes and efficiency for less than the cost of a week at a beach resort. Learn how other SAP customers are removing risk and testing their SAP migrations and upgrades for low cost to jumpstart their SAP projects for low cost.
DVC303-Technological Accelerants for Organizational TransformationAmazon Web Services
"Developers and management can seem at cross purposes when one group looks at technologies and the other looks at organizational issues. Both groups are looking for ways to deliver value faster, leaner, and at less cost. There are technological avenues for accomplishing these goals, including DevOps and serverless architectures. However, these approaches also have organizational implications, as they change the nature and content of communication between teams. In this session, we cover the technology benefits and organizational transformations involved in DevOps and serverless architectures.
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."
RET301-Build Single Customer View across Multiple Retail Channels using AWS S...Amazon Web Services
A challenge faced by many retailers is how to form an integrated single view of the customer across multiple retail channels to help you better understand purchasing behavior & patterns. In this session, we will present a solution that merges web analytics data with customer purchase history based on AWS API Gateway, Lambda and S3. Learn how to track customer purchase behaviors across different selling channels to better predict future needs and make relevant, intelligent recommendations.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
Introducing AWS IoT Analytics, the new managed service that lets customers structure, preprocess, store, analyze, and visualize connected device data. The service team will walk through the service’s features and introduce two customer use cases from the private beta.
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.
AMF305_Autonomous Driving Algorithm Development on Amazon AIAmazon Web Services
Over the next decade, accelerating autonomous driving technology—including advances in artificial intelligence, sensors, cameras, radar and data analytics—are set to transform how we commute. In this session, you learn how to use Amazon AI for a highly productive, on demand, and scalable autonomous driving development environment. We compare the most popular AI frameworks including TensorFlow and MXNet for use in autonomous driving workloads. You learn about the AWS optimizations on MXNet that yield near linear scalability for training deep neural networks and convolutional neural networks. We demonstrate the ease of getting started on AWS AI by using a sample training dataset for building an object detection model on AWS. This session is intended for audiences who have some exposure to the underlying concepts for AI-based autonomous driving development. After attending the session, you can get started with AI development on AWS by using a sample dataset for building an object detection model.
NEW LAUNCH! Building Alexa Skills for Businesses (ALX204) Amazon Web Services
Alexa for Business makes it possible for businesses to create Alexa skills designed specifically for employees or customers. With Alexa for Business, devices can be managed and provisioned to be used by employees in conference rooms, at employees’ desks, or around the workplace. You can also create skills that can be used by customers, in places like hotel rooms, restaurants, hospitality suites, or even stores. In this session, we’ll provide an overview of Alexa for Business, and show you how Alexa for Business creates business value for both customers and employees.
ARC210_Building Scalable Multi-Tenant Email Sending ProgramsAmazon Web Services
Many companies use Amazon Simple Email Service (Amazon SES) to build applications that enable their users to send millions of emails every day. In this session, you learn how to build applications using the scalable, reliable Amazon SES infrastructure. You also learn how to monitor email sending and enforce compliance rules on individual accounts without impacting other accounts. Zendesk discusses the architecture of its multitenant email sending platform, the historical challenges it faced, its phased approach to platform migration, and the ways Amazon SES helped them meet their goals.
NEW LAUNCH! AWS Serverless Application Repository - SRV215 - re:Invent 2017Amazon Web Services
In this session, we will discuss how the AWS Serverless Application Repository makes it easy to discover and deploy serverless applications published by fellow developers and companies like Datadog, Here, Splunk, and many others. We will cover how you can use the repository to find applications for a variety of use cases and then deploy them to your AWS account. In addition, we will discuss how you can publish your own applications to the repository. You will also hear from two contributors, Datadog and Here, who will describe their approach to building the serverless applications that they have published to the Serverless Application Repository.
This session is especially tailored for technology and consulting partners, looking to learn more about big data and analytics on AWS. As individuals and commerce move online, companies have unprecedented access to data to improve customer experience and take advantage of new market opportunities. However, organizations often struggle with turning data into actionable insights to drive their business. Learn how AWS and big data APN partners are helping companies enable a broad range of analytic capabilities, to deliver better business results and better serve their customers. We discuss key big data and analytics use cases, and programs to enable partners to get to market with these solutions.
Developing deep learning applications just got even simpler and faster. In this session, you will learn how to program deep learning models using Gluon, the new intuitive, dynamic programming interface available for the Apache MXNet open-source framework. We’ll also explore neural network architectures such as multi-layer perceptrons, convolutional neural networks (CNNs) and LSTMs.
This session covers the current state of the union for mobile application development on AWS, providing an overview of the services available to mobile developers from AWS. We discuss the entire lifecycle of the mobile application process from building, testing, deploying, and production, to growing your user base and business with ongoing engagement and campaigns.
FSV305-Optimizing Payments Collections with Containers and Machine LearningAmazon Web Services
The Bank of Nova Scotia is using deep learning to improve the way it manages payments collections for its millions of credit card customers. In this session, we will show how the Bank of Nova Scotia leveraged Amazon EC2 Container Service and EC2 Container Registry and Docker to streamline their deployment pipeline. We will also cover how the bank used AWS IAM and Amazon S3 for asset management and security, as well as AWS GPU accelerated instances and TensorFlow to develop a retail risk model. We will conclude the session by examining how the Bank of Nova Scotia was able to dramatically cut costs in comparison to on-premise development.
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.
STG314-Case Study Learn How HERE Uses JFrog Artifactory w Amazon EFS Support ...Amazon Web Services
HERE Technologies enables people, enterprises, and cities around the world to harness the power of location. In this session, you learn how HERE uses JFrog Artifactory with Amazon EFS to deliver close to a million downloads and uploads per day to its CI/CD environment. We walk you through HERE’s AWS process for handling development at scale, and we discuss lessons learned and best practices for success throughout.
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.
How does a practice become a "best" practice? How does a pattern become an "anti" pattern? As always, experience is the best teacher. As Partner Solution Architects, we receive a lot of partner feedback on how practices and design patterns work—and occasionally fail to work—in the real world. We use this feedback to inform our recommendations and reference architectures. In this session, we explore a representative set of real-life "failures." We look at what these failures have to teach us about design and how to prioritize remediation of known issues.
Organizations around the world are facing a “data tsunami” as next-generation sensors produce enormous volumes of earth observation data. Come learn how NASA is leveraging AWS to efficiently work with data and computing resources at a massive scale. NASA is transforming its earth science EOSDIS (Earth Observing System Data Information System) program by moving data processing and archiving to the cloud. NASA anticipates that their data archives will grow from 16 PB today to over 400 PB by 2023 and 1 Exabyte by 2030. They’re moving to the cloud to scale their operations for this new paradigm.
The Future of Securing Access Controls in Information SecurityAmazon Web Services
by Tim Kropp and Greg Frascadore from Bridgewater Associates
Identity Access and Management is a critical information security control used by companies of all shapes and sizes. Tim Kropp and Greg Frascadore from Bridgewater Associates worked with the Automated Reasoning Group (ARG) within AWS to drive innovation in automating, scaling, and future-proofing access controls. Join us to hear how Bridgewater Associates and AWS are leading the future of securing policies through a mathematics based methodology called formal reasoning.
DynamoDB adaptive capacity: smooth performance for chaotic workloads - DAT327...Amazon Web Services
Database capacity planning is critical to running your business, but it’s also hard. In this session we’ll compare how scaling is usually performed for relational databases and NoSQL databases. We’ll look behind the scenes at how DynamoDB shards your data across multiple partitions and servers. Finally, we’ll talk about some of the recent enhancements to DynamoDB that make scaling even simpler, particularly a new feature called adaptive throughput that eliminates much of the throttling issues that you may have experienced.
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.
GPSBUS221_Breaking Barriers Move Enterprise SAP Customers to SAP HANA on AWS ...Amazon Web Services
Migrating mission-critical SAP workloads to AWS allows enterprises to realize business benefits quickly and securely without a significant upfront investment. Today, customers are turning capital expense into operating expense at a record pace and are accelerating business processes and efficiency for less than the cost of a week at a beach resort. Learn how other SAP customers are removing risk and testing their SAP migrations and upgrades for low cost to jumpstart their SAP projects for low cost.
DVC303-Technological Accelerants for Organizational TransformationAmazon Web Services
"Developers and management can seem at cross purposes when one group looks at technologies and the other looks at organizational issues. Both groups are looking for ways to deliver value faster, leaner, and at less cost. There are technological avenues for accomplishing these goals, including DevOps and serverless architectures. However, these approaches also have organizational implications, as they change the nature and content of communication between teams. In this session, we cover the technology benefits and organizational transformations involved in DevOps and serverless architectures.
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."
RET301-Build Single Customer View across Multiple Retail Channels using AWS S...Amazon Web Services
A challenge faced by many retailers is how to form an integrated single view of the customer across multiple retail channels to help you better understand purchasing behavior & patterns. In this session, we will present a solution that merges web analytics data with customer purchase history based on AWS API Gateway, Lambda and S3. Learn how to track customer purchase behaviors across different selling channels to better predict future needs and make relevant, intelligent recommendations.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
Introducing AWS IoT Analytics, the new managed service that lets customers structure, preprocess, store, analyze, and visualize connected device data. The service team will walk through the service’s features and introduce two customer use cases from the private beta.
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.
AMF305_Autonomous Driving Algorithm Development on Amazon AIAmazon Web Services
Over the next decade, accelerating autonomous driving technology—including advances in artificial intelligence, sensors, cameras, radar and data analytics—are set to transform how we commute. In this session, you learn how to use Amazon AI for a highly productive, on demand, and scalable autonomous driving development environment. We compare the most popular AI frameworks including TensorFlow and MXNet for use in autonomous driving workloads. You learn about the AWS optimizations on MXNet that yield near linear scalability for training deep neural networks and convolutional neural networks. We demonstrate the ease of getting started on AWS AI by using a sample training dataset for building an object detection model on AWS. This session is intended for audiences who have some exposure to the underlying concepts for AI-based autonomous driving development. After attending the session, you can get started with AI development on AWS by using a sample dataset for building an object detection model.
NEW LAUNCH! Building Alexa Skills for Businesses (ALX204) Amazon Web Services
Alexa for Business makes it possible for businesses to create Alexa skills designed specifically for employees or customers. With Alexa for Business, devices can be managed and provisioned to be used by employees in conference rooms, at employees’ desks, or around the workplace. You can also create skills that can be used by customers, in places like hotel rooms, restaurants, hospitality suites, or even stores. In this session, we’ll provide an overview of Alexa for Business, and show you how Alexa for Business creates business value for both customers and employees.
ARC210_Building Scalable Multi-Tenant Email Sending ProgramsAmazon Web Services
Many companies use Amazon Simple Email Service (Amazon SES) to build applications that enable their users to send millions of emails every day. In this session, you learn how to build applications using the scalable, reliable Amazon SES infrastructure. You also learn how to monitor email sending and enforce compliance rules on individual accounts without impacting other accounts. Zendesk discusses the architecture of its multitenant email sending platform, the historical challenges it faced, its phased approach to platform migration, and the ways Amazon SES helped them meet their goals.
NEW LAUNCH! AWS Serverless Application Repository - SRV215 - re:Invent 2017Amazon Web Services
In this session, we will discuss how the AWS Serverless Application Repository makes it easy to discover and deploy serverless applications published by fellow developers and companies like Datadog, Here, Splunk, and many others. We will cover how you can use the repository to find applications for a variety of use cases and then deploy them to your AWS account. In addition, we will discuss how you can publish your own applications to the repository. You will also hear from two contributors, Datadog and Here, who will describe their approach to building the serverless applications that they have published to the Serverless Application Repository.
This session is especially tailored for technology and consulting partners, looking to learn more about big data and analytics on AWS. As individuals and commerce move online, companies have unprecedented access to data to improve customer experience and take advantage of new market opportunities. However, organizations often struggle with turning data into actionable insights to drive their business. Learn how AWS and big data APN partners are helping companies enable a broad range of analytic capabilities, to deliver better business results and better serve their customers. We discuss key big data and analytics use cases, and programs to enable partners to get to market with these solutions.
Developing deep learning applications just got even simpler and faster. In this session, you will learn how to program deep learning models using Gluon, the new intuitive, dynamic programming interface available for the Apache MXNet open-source framework. We’ll also explore neural network architectures such as multi-layer perceptrons, convolutional neural networks (CNNs) and LSTMs.
This session covers the current state of the union for mobile application development on AWS, providing an overview of the services available to mobile developers from AWS. We discuss the entire lifecycle of the mobile application process from building, testing, deploying, and production, to growing your user base and business with ongoing engagement and campaigns.
FSV305-Optimizing Payments Collections with Containers and Machine LearningAmazon Web Services
The Bank of Nova Scotia is using deep learning to improve the way it manages payments collections for its millions of credit card customers. In this session, we will show how the Bank of Nova Scotia leveraged Amazon EC2 Container Service and EC2 Container Registry and Docker to streamline their deployment pipeline. We will also cover how the bank used AWS IAM and Amazon S3 for asset management and security, as well as AWS GPU accelerated instances and TensorFlow to develop a retail risk model. We will conclude the session by examining how the Bank of Nova Scotia was able to dramatically cut costs in comparison to on-premise development.
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.
STG314-Case Study Learn How HERE Uses JFrog Artifactory w Amazon EFS Support ...Amazon Web Services
HERE Technologies enables people, enterprises, and cities around the world to harness the power of location. In this session, you learn how HERE uses JFrog Artifactory with Amazon EFS to deliver close to a million downloads and uploads per day to its CI/CD environment. We walk you through HERE’s AWS process for handling development at scale, and we discuss lessons learned and best practices for success throughout.
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.
How does a practice become a "best" practice? How does a pattern become an "anti" pattern? As always, experience is the best teacher. As Partner Solution Architects, we receive a lot of partner feedback on how practices and design patterns work—and occasionally fail to work—in the real world. We use this feedback to inform our recommendations and reference architectures. In this session, we explore a representative set of real-life "failures." We look at what these failures have to teach us about design and how to prioritize remediation of known issues.
Organizations around the world are facing a “data tsunami” as next-generation sensors produce enormous volumes of earth observation data. Come learn how NASA is leveraging AWS to efficiently work with data and computing resources at a massive scale. NASA is transforming its earth science EOSDIS (Earth Observing System Data Information System) program by moving data processing and archiving to the cloud. NASA anticipates that their data archives will grow from 16 PB today to over 400 PB by 2023 and 1 Exabyte by 2030. They’re moving to the cloud to scale their operations for this new paradigm.
The Future of Securing Access Controls in Information SecurityAmazon Web Services
by Tim Kropp and Greg Frascadore from Bridgewater Associates
Identity Access and Management is a critical information security control used by companies of all shapes and sizes. Tim Kropp and Greg Frascadore from Bridgewater Associates worked with the Automated Reasoning Group (ARG) within AWS to drive innovation in automating, scaling, and future-proofing access controls. Join us to hear how Bridgewater Associates and AWS are leading the future of securing policies through a mathematics based methodology called formal reasoning.
SID302_Force Multiply Your Security Team with Automation and AlexaAmazon Web Services
Adversaries automate. Who says the good guys can't as well? By combining AWS offerings like AWS CloudTrail, Amazon Cloudwatch, AWS Config, and AWS Lambda with the power of Amazon Alexa, you can do more security tasks faster, with fewer resources. Force multiplying your security team is all about automation! Last year, we showed off penetration testing at the push of an (AWS IoT) button, and surprise-previewed how to ask Alexa to run Inspector as-needed. Want to see other ways to ask Alexa to be your cloud security sidekick? We have crazy new demos at the ready to show security geeks how to sling security automation solutions for their AWS environments (and impress and help your boss, too).
Devoxx: Building AI-powered applications on AWSAdrian Hornsby
Slides from my talk at devoxx2018
The video: https://www.youtube.com/watch?v=-izfBVlHkSc
https://cfp.devoxx.be/2017/talk/XEO-9942/Building_Serverless_AI-powered_Applications_on_AWS
Manage Infrastructure Securely at Scale and Eliminate Operational Risks - DEV...Amazon Web Services
Managing AWS and hybrid environments securely and safely while having actionable insights is an operational priority and business driver for all customers. Using SSH or RDP sessions could lead to unintended or malicious outcomes with no traceability. Learn to use Amazon EC2 Systems Manager to improve your security posture, automate at scale, and minimize application downtime for both Windows and Linux workloads. Easily author configurations to automate your infrastructure without SSH access, and control the blast radius of configuration changes. Get a cross-account and cross-region view of what’s installed and running on your servers or instances. Learn to use Systems Manager to securely store, manage, and retrieve secrets. You can also run patch compliance checks on the fleet to react to malware and vulnerabilities within minutes, while still providing granular control to users with different privilege levels and full auditability. You will hear from FINRA, the Financial Industry Regulatory Authority, on how they use Systems Manager to safely manage their Enterprise environment.
The 1% Identity and Governance Patterns from the Most Advanced AWS Customers ...Amazon Web Services
by Fritz Kunstler, Sr. AWS Security Consultant AWS
Join us for four days of security and compliance sessions and hands-on labs led by our AWS security pros during AWS Security Week at the San Francisco Loft. Join us for all four days, or pick just the days that are most relevant to you. We'll open on Monday with Security 101 day, followed by sessions Tuesday on Identity and Access Management, our popular Threat Detection and Remediation day Wednesday will feature an updated GuardDuty lab, and we'll end Thursday with Incident Response sessions, labs, and a talk by Netflix on their new open source IR tool. This week will also feature Dome9 as a sponsor, and you can hear them speak and present a hands-on workshop Monday during Security 101 day.
AWS X-Ray: Debugging Applications at Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to reduce time to resolution for errors and performance bottlenecks from days/hours to minutes
- Learn how to detect latency distribution and pinpoint issues to specific service(s)
- Learn how to quantify customer impact
The 1%: Identity and Governance Patterns From the Most Advanced AWS Customers...Amazon Web Services
by Fritz Kunstler, Sr. AWS Security Consultant, AWS
Across the AWS customer base there's a wide spectrum of experience levels. In this session, we'll dive deep into a number of advanced patterns that some of our most advanced customers are using to make themselves successful. By equipping you with these deep learnings, you'll be able to raise the bar within your organization, allowing you to achieve greater levels of control, speed, and visibility at a greatly accelerated pace.
SID331_Architecting Security and Governance Across a Multi-Account StrategyAmazon Web Services
Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation, separation of duties, and billing requirements. In this session, we discuss considerations, limitations, and security patterns when building out a multi-account strategy. We explore topics such as identity federation, cross-account roles, consolidated logging, and account governance. Thomson Reuters shared their journey and their approach to a multi-account strategy. At the end of the session, we present an enterprise-ready, multi-account architecture that you can start leveraging today.
We encourage you attend the full multi-account track:
SID331: Architecting Security and Governance Across a Multi-Account Strategy (Session)
SID335: Implementing Security and Governance Across a Multi-Account Strategy (Chalk Talk)
ENT324: Automating and Auditing Cloud Governance and Compliance in Multi-Account Environments (Session)
SID311: Designing Security and Governance Across a Multi-Account Strategy (Workshop)
SID308: Multi-Account Strategies (Chalk Talk)"
by Michael St. Onge, Global Cloud Security Architect, AWS
Events are precursor to incidents, but how do you decide if an event is harmful? Tuning the signal to noise means that every event needs to be inspected and its impact calculated in as short amount of time as possible to stop bad things from happening. In this session, we will dive deep into a few event types to do advanced analysis in pursuit of deciding if it is a security incident, and how to resolve it by the time the alert hits your inbox.
AWS offers customers multiple solutions for federating identities on the AWS Cloud. In this session, we will embark on a tour of these solutions and the use cases they support. Along the way, we will dive deep with demonstrations and best practices to help you be successful managing identities on the AWS Cloud. We will cover how and when to use Security Assertion Markup Language 2.0 (SAML), OpenID Connect (OIDC), and other AWS native federation mechanisms. You will learn how these solutions enable federated access to the AWS Management Console, APIs, and CLI, AWS Infrastructure and Managed Services, your web and mobile applications running on the AWS Cloud, and much more.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Security, Risk and Compliance of Your Cloud Journey - Tel Aviv Summit 2018Amazon Web Services
How can you ensure your environment is Secure? How can you implement an effective governance model in your organization? The AWS Cloud Adoption Framework (CAF) and its Security Perspective provide a structured approach to make risk based decisions, build security guardrails and meet your compliance goals as you migrate to AWS. The Security perspective of the CAF provides a set of 5 core themes designed to help you structure your selection and implementation of controls that are right for your business: IAM, Detective Controls, Infrastructure Security, Data Protection and Incident response. In this session you will learn what it takes to lead a Secure Cloud Journey for your organization and make key strategic decisions.
NEW LAUNCH! AWS PrivateLink: Bringing SaaS Solutions into Your VPCs and Your ...Amazon Web Services
Many customers are hesitant to adopt SaaS solutions due to the concerns on the safety of the network connectivity traversing internet. It is also difficult to manage the firewall rules, NAT Gateway or VPN connections. AWS PrivateLink provided solution that let our customers’ applications, whether in a VPC or in their own data center, to connect to SaaS solutions in a highly scalable and highly available manner, while keeping all the network traffic within the AWS network.
AWS Lambda enables you to run code without provisioning or managing servers. Today, you can write your Lambda functions once and execute them everywhere your end viewers are present with AWS Lambda@Edge. This session walks through multiple examples of web applications that use the serverless programming model for authentication, customization, and security to address the question of how to design and deploy intelligent web applications with AWS Lambda@Edge and Amazon CloudFront. The startup DataDome will also share its experience with Lambda@Edge and CloudFront, and how it simplified the onboarding process for its customers. Deployed globally on CloudFront PoP locations, their bot protection service can now be activated in one-click through the AWS console.
Incident Response: Preparing and Simulating Threat ResponseAmazon Web Services
Once you have built and deployed security infrastructure and automated key aspects of security operations you should validate your work through an Incident Response simulation. In this session we discuss the best way to protect your logs; how and why to develop automated IR capabilities via AWS tooling (e.g. Lambda); the importance of testing existing forensics tools to ensure efficacy in cloud environment; and ways to test your plan early and often.
Similar to MAE401_Designing for DisneyMarvel Studio-Grade Security (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.
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.