Learn how to connect your JMS-based applications to the cloud and integrate them with new cloud-native applications. In this session, we quickly refresh your knowledge about messaging enterprise integration patterns. We then discuss architectural examples to bridge the JMS-based and cloud-native worlds. We work through an example implementation based on Amazon MQ, Amazon SQS, and Amazon SNS. Leave this session with a solid understanding of how to connect existing applications to new cloud-native applications using messaging patterns.
Create a Custom Celebrity List for Your Media Assets (AIM349-R1) - AWS re:Inv...Amazon Web Services
When indexing large amounts of media files, it can become difficult to search through them to find certain objects and individuals. In this session, we show you how creating a custom celebrity list enables you to index your media files by the people you train it to recognize. Come and see how this solution can serve as the foundation for creating automated sports highlight reels, building face-based user verification systems, and more.
Amazon S3 provides a number of different settings to help you secure your data, controls to ensure that those settings remain in place, and features to help you audit all of the above. In this workshop, we walk you through these different capabilities of Amazon S3, presenting scenarios to help you apply them for different security requirements.
Private Network Connectivity: Connecting AWS into Public Sector Networks (WPS...Amazon Web Services
Many countries operate separate, private networks for use purely by public sector organizations, which historically have hindered use of the public cloud. In this session, we examine the different architectures available to bridge this gap and answer questions that attendees might have, using examples from the UK and beyond.
Automating Compliance Certification with Automated Mathematical Proof (SEC330...Amazon Web Services
At AWS, we have begun using automated mathematical proof search methods to automate compliance certification. Our approach uses automated mathematical proof tools to find arguments that express, in a repeatable precise way, what controls are used, and why and how they are correctly implemented. In this chalk talk, learn how auditors can independently validate design and operating effectiveness using open-source and community-validated tools. This validation approach provides evidence of the operating effectiveness of a control at all times, for all operations. This approach can reduce costs and takes the time spent achieving compliance certification from months to seconds. This approach can also remove ambiguity from what it means to be compliant with a particular control.
Migrating Data to the Cloud: Exploring Your Options from AWS (STG205-R1) - AW...Amazon Web Services
AWS offers a variety of data migration services and tools to help you easily and rapidly move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor trailer. Learn about the available data migration options, including the AWS Snowball family, AWS Storage Gateway, Amazon S3 Transfer Acceleration, and other approaches. We provide the guidance to help you find the right service or tool to fit your requirements, and we share examples of customers who have used these options in their cloud journey.
Maximizing Throughput and Performance on Amazon EFS (STG406) - AWS re:Invent ...Amazon Web Services
Have you struggled to get the best performance out of Amazon EFS? Do you think more can be done to best leverage this massively parallel storage platform? Amazon EFS is a highly available, highly durable, shared file system built on the core tenets of simplicity, scalability, and elasticity. Its distributed data storage design allows you to achieve high levels of performance using the industry standard NFSv4 protocol. This provides new and existing applications the ability to achieve high levels of throughput while sharing file data across multiple Amazon EC2 instances and on-premises servers. In this session, you’ll hear how to best take advantage of this distributed data storage design by parallelizing access to your file system, scaling out to use multiple clients, and much, much more. You’ll also learn about the different performance and throughput modes and when to use one versus the other. Be prepared to power up your laptop to follow along with the live demos and hands-on tutorials.
MassMutual Goes Cloud First with Hybrid Cloud on AWS (ENT210) - AWS re:Invent...Amazon Web Services
In this session, we discuss how MassMutual adopts a cloud-first strategy, and we outline their journey to hybrid cloud on AWS. Specifically, we cover four aspects of MassMutual's hybrid cloud on AWS architecture: First, we talk about the use of the AWS Well-Architected Framework to create MassMutual’s cloud minimal viable product (MVP) document. Next, we do a deep dive into MassMutual's multi-account, multi-region architecture. We discuss achieving cloud governance, risk, and compliance through tooling and automation. Finally, we demonstrate how MassMutual deploys fully compliant hybrid cloud environments in less than five minutes. We also showcase some of MassMutual's actual hybrid deployments and share the benefits of using AWS.
Drive Customer Value with Data-Driven Decisions (GPSBUS206) - AWS re:Invent 2018Amazon Web Services
Organizations that use data as a competitive differentiator are more likely to lead and outperform their peers. Many organizations have transformed their data architectures and adopted the cloud to meet a variety of scalability and automation challenges. In this session, we develop a blueprint for data flows from data sources to data lakes, data warehousing, advanced analytics, and machine learning (ML). We look at the big picture, understand how to build data pipelines and repositories for different use cases, and enable data science at enterprise scale in a way that unleashes the value of corporate data, and embeds AI/ML in business processes.
Create a Custom Celebrity List for Your Media Assets (AIM349-R1) - AWS re:Inv...Amazon Web Services
When indexing large amounts of media files, it can become difficult to search through them to find certain objects and individuals. In this session, we show you how creating a custom celebrity list enables you to index your media files by the people you train it to recognize. Come and see how this solution can serve as the foundation for creating automated sports highlight reels, building face-based user verification systems, and more.
Amazon S3 provides a number of different settings to help you secure your data, controls to ensure that those settings remain in place, and features to help you audit all of the above. In this workshop, we walk you through these different capabilities of Amazon S3, presenting scenarios to help you apply them for different security requirements.
Private Network Connectivity: Connecting AWS into Public Sector Networks (WPS...Amazon Web Services
Many countries operate separate, private networks for use purely by public sector organizations, which historically have hindered use of the public cloud. In this session, we examine the different architectures available to bridge this gap and answer questions that attendees might have, using examples from the UK and beyond.
Automating Compliance Certification with Automated Mathematical Proof (SEC330...Amazon Web Services
At AWS, we have begun using automated mathematical proof search methods to automate compliance certification. Our approach uses automated mathematical proof tools to find arguments that express, in a repeatable precise way, what controls are used, and why and how they are correctly implemented. In this chalk talk, learn how auditors can independently validate design and operating effectiveness using open-source and community-validated tools. This validation approach provides evidence of the operating effectiveness of a control at all times, for all operations. This approach can reduce costs and takes the time spent achieving compliance certification from months to seconds. This approach can also remove ambiguity from what it means to be compliant with a particular control.
Migrating Data to the Cloud: Exploring Your Options from AWS (STG205-R1) - AW...Amazon Web Services
AWS offers a variety of data migration services and tools to help you easily and rapidly move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor trailer. Learn about the available data migration options, including the AWS Snowball family, AWS Storage Gateway, Amazon S3 Transfer Acceleration, and other approaches. We provide the guidance to help you find the right service or tool to fit your requirements, and we share examples of customers who have used these options in their cloud journey.
Maximizing Throughput and Performance on Amazon EFS (STG406) - AWS re:Invent ...Amazon Web Services
Have you struggled to get the best performance out of Amazon EFS? Do you think more can be done to best leverage this massively parallel storage platform? Amazon EFS is a highly available, highly durable, shared file system built on the core tenets of simplicity, scalability, and elasticity. Its distributed data storage design allows you to achieve high levels of performance using the industry standard NFSv4 protocol. This provides new and existing applications the ability to achieve high levels of throughput while sharing file data across multiple Amazon EC2 instances and on-premises servers. In this session, you’ll hear how to best take advantage of this distributed data storage design by parallelizing access to your file system, scaling out to use multiple clients, and much, much more. You’ll also learn about the different performance and throughput modes and when to use one versus the other. Be prepared to power up your laptop to follow along with the live demos and hands-on tutorials.
MassMutual Goes Cloud First with Hybrid Cloud on AWS (ENT210) - AWS re:Invent...Amazon Web Services
In this session, we discuss how MassMutual adopts a cloud-first strategy, and we outline their journey to hybrid cloud on AWS. Specifically, we cover four aspects of MassMutual's hybrid cloud on AWS architecture: First, we talk about the use of the AWS Well-Architected Framework to create MassMutual’s cloud minimal viable product (MVP) document. Next, we do a deep dive into MassMutual's multi-account, multi-region architecture. We discuss achieving cloud governance, risk, and compliance through tooling and automation. Finally, we demonstrate how MassMutual deploys fully compliant hybrid cloud environments in less than five minutes. We also showcase some of MassMutual's actual hybrid deployments and share the benefits of using AWS.
Drive Customer Value with Data-Driven Decisions (GPSBUS206) - AWS re:Invent 2018Amazon Web Services
Organizations that use data as a competitive differentiator are more likely to lead and outperform their peers. Many organizations have transformed their data architectures and adopted the cloud to meet a variety of scalability and automation challenges. In this session, we develop a blueprint for data flows from data sources to data lakes, data warehousing, advanced analytics, and machine learning (ML). We look at the big picture, understand how to build data pipelines and repositories for different use cases, and enable data science at enterprise scale in a way that unleashes the value of corporate data, and embeds AI/ML in business processes.
Best Practices for Building Multi-Region, Active-Active Serverless Applicatio...Amazon Web Services
In this session, we walk through building and deploying a global-scale, multi-region, active-active serverless backend using Amazon Route 53 to route the traffic among AWS Regions, Amazon API Gateway, and AWS Lambda for the backend, and Amazon DynamoDB global tables for handling data storage at a global scale. We provide a demo and a hands-on coding opportunity.
Configuration Management and Service Discovery with AWS Lambda (SRV338-R1) - ...Amazon Web Services
Your system is composed of highly decoupled, independent, fast, and modular microservices. But how can they share common configurations, dynamic endpoints, database references, and properly rotate secrets? Based on the size and complexity of your serverless system, you may use AWS Lambda environment variables, AWS Systems Manager's Parameter Store, and the recently announced AWS Secrets Manager. In this session, we showcase the best use cases for each solution, as well as corresponding best practices to achieve the highest standards for security and performance.
DevOps Concepts for Data Science (DEV347-R2) - AWS re:Invent 2018Amazon Web Services
DevOps and Data Science? How does that work? In software teams where innovation is a priority, DevOps can be an accelerator. In data science and machine learning, there are a number of factors that increase complexity of systems and thus the complexity of DevOps. This session will touch on fundamental concepts in data science such as data management, ETL, modeling, and model validation, and open discussion around some ways that common tools and processes can be used to decouple and stabilize workflows to accelerate research.
Deep Dive on AWS CloudHSM (SEC358-R1) - AWS re:Invent 2018Amazon Web Services
Organizations building applications that handle confidential or sensitive data are subject to many types of regulatory requirements, and they often rely on hardware security modules (HSMs) to provide validated control of encryption keys and cryptographic operations. AWS CloudHSM is a cloud-based HSM that enables you to easily generate and use your own encryption keys on the AWS Cloud using FIPS 140-2 Level 3 validated HSMs. This talk demonstrates best practices in configuring and scaling your CloudHSM cluster, implementing cross-region disaster recovery, and optimizing throughput.
[NEW LAUNCH!] How-to: Amazon RDS on VMware and Hybrid Database Architecture (...Amazon Web Services
Learn how to prepare your data center for Amazon RDS on VMware and enable hybrid database architectures. We’ll cover hardware, software, network, and other infrastructure requirements, and then walk through installation and onboarding in your VMware vSphere cluster. Bring your questions – we’ve got a whiteboard!
GraphQL is a popular technology among developers right now. GraphQL is the mechanism by which mobile and web apps can communicate with AWS AppSync to easily query and mutate data using as small a request as possible, enabling battery- and bandwidth-efficient communication. In this talk, we go through the basics of GraphQL and answer your questions about it.
Optimizing Performance in Amazon S3 (STG367-R2) - AWS re:Invent 2018Amazon Web Services
Amazon S3 powers some of the most performance-sensitive workloads running in the cloud today. 2018 has brought massive improvements in Amazon S3 request rates and overall throughput. In this chalk talk, you have the opportunity to interact directly with the Amazon S3 engineering team responsible for the S3 index and many other components at the core of these improvements. We discuss what's changed, including the removal of the need for prefix randomization, and the ways you can improve your architecture to enhance performance in the unique environment of Amazon S3.
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
Everywhere there is talk of modernization, containers, Kubernetes, and 900K containerized applications on Docker Hub. Yet only 35% of container workloads are in production. In this session, we explore why so many modernization journeys fail to move from the proof of concept or evaluation phase into production, and how application platforms are helping customers succeed. We explore how application platforms are mitigating the complexities and pitfalls, and how they assist enterprise customers not only in modernizing workloads but building hybrid application workloads and accelerating cloud adoption.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
Have Your Front End and Monitor It, Too (ANT303) - AWS re:Invent 2018Amazon Web Services
Amazon Elasticsearch Service (Amazon ES) is both a search solution and a log monitoring solution. In this session, we address both. We build a front-end, PHP web server that provides a search experience on movie data as well as backend monitoring to send Apache web logs, syslogs, and application logs to Amazon ES. We tune the relevance for the search experience and build Kibana visualizations for the log data. In addition, we use security best practices and deploy everything into a VPC.
Enhancing Media Workflows with Machine Learning (MAE303) - AWS re:Invent 2018Amazon Web Services
AI/ML is changing the way media companies produce and distribute content. In this workshop, we review many of the ways AI/ML can be applied throughout the entire media production and distribution process. We build an end-to-end metadata enrichment workflow that extracts meaningful metadata from content (audio, video, and images). We then build a solution that uses Amazon Rekognition, Amazon SageMaker, Amazon Transcribe, Amazon Comprehend, and Amazon Mechanical Turk to analyze content, and we use it to enrich a viewing experience and assist with compliance. We also build and train a custom object detection model, which will be used to augment the data that Amazon Rekognition provides. We cover all aspects of AI/ML-based metadata generation, from labeling a dataset, to training and hosting a model, all the way to validating the metadata prior to playout.
How Enterprises Are Modernizing Their Security, Risk Management, & Compliance...Amazon Web Services
Many organizations view security and risk & compliance functions as blockers to innovation. This chalk talk identifies the changes that are needed in executive engagement, budgeting, skills planning, and resource allocation to transform these perceived blockers into partners for innovation. We walk through an approach which can be used to address enterprise-level security, risk management, and compliance strategy. In addition, we share some key security & risk lessons from early enterprise adopters of AWS.
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Amazon Web Services
Machine learning (ML) can help people with disabilities by using facial and object recognition, text-to-speech, automatic translation, and transcription to create assistive applications. In this chalk talk, learn how to assemble ML APIs from AWS to help people in new ways.
Building the Technical Foundation for Your Security Practice (GPSCT205) - AWS...Amazon Web Services
Security is job zero at AWS. Come and learn how to build a modern security practice on AWS and supercharge it with AWS partners and serverless automation. Learn about the Security Perspectives found the AWS Well-Architected Framework, which equip your security program to not only keep your environment secure but also move fast. Learn advanced techniques to empower your teams with Amazon GuardDuty so you can elevate your team's ability to identify, protect, detect, respond, and recover from security events.
SaaS Jumpstart: A Primer for Launching Your SaaS Journey (ARC210-R2) - AWS re...Amazon Web Services
Adopting a SaaS model is no trivial effort. Wandering into the universe of multi-tenancy means tackling a broad range of new architectural challenges. How do you automate the onboarding and provisioning of new tenants? How do you secure a shared multi-tenant infrastructure and prevent any flavor of cross-tenant access? How do you effectively partition tenant data? These are amongst a core set SaaS architecture topics in this chalk which is aimed at equipping SaaS newcomers with a clear view of some of the best practices associated with delivering SaaS solutions on AWS. The goal here is to explore and discuss fundamental architectural strategies of SaaS and highlight key considerations that will shape the security, agility, and success of your SaaS applications.
Save up to 90% on Big Data and Machine Learning Workloads with Spot Instances...Amazon Web Services
Learn how you can run your big data and machine learning models as many times as you want with Amazon EC2 Spot Instances. In this session, we discuss how to architect and run big data and machine learning workloads by combining common data processing applications with Spot Instances for scalable and cost-effective computing. We also highlight real-world customer examples with machine learning workloads running on Spot Instances.
In this session, learn about the latest features in our cost management tooling. The presentation is given by the Cost Insights service team and supported by cost optimization experts from across our business.
AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...Amazon Web Services
IT infrastructure teams with on-premises applications have to manage storage arrays throughout their never-ending lifecycle, including capacity planning guesswork, hardware failures, system migrations, and more. There are cloud-enabled alternatives to buying more and more storage arrays. With AWS Storage Gateway, you can start using Amazon S3, Amazon Glacier, and Amazon EBS in hybrid architectures with on-premises applications for storage, backup, disaster recovery, tiered storage, hybrid data lakes, and ML. In this session, learn how to use AWS Storage Gateway to seamlessly connect your applications to AWS storage services with familiar block-and-file storage protocols and a local cache for fast access to hot data. We demonstrate our latest capabilities and share best practices from experienced customers.
Advanced Serverless Data Processing (GPSWS406) - AWS re:Invent 2018Amazon Web Services
In this hands-on workshop, you learn best practices and architectural patterns for building streaming data processing pipelines without servers. Using Amazon Kinesis, AWS Lambda, and other services, you have the opportunity to build, deploy, and monitor an application to ingest and process high-velocity data at scale. This advanced workshop assumes that you have experience writing Lambda functions and understand the basics of the AWS serverless platform, so come ready to dive into the deep end. Bring your laptop with a full keyboard. We provide a sandbox AWS account for you to use during the workshop.
Protecting Amazon EC2 Instances, Relational Databases, and NoSQL Workloads (S...Amazon Web Services
For many IT professionals, cloud data protection can be challenging. In this session, we explore options for protecting and restoring your Amazon EC2 instances, relational databases, and NoSQL databases, such as MongoDB and Cassandra. We show you how solutions such as Rubrik Cloud Data Management and Rubrik Datos IO augment your Amazon EC2 backup strategy, including lifecycle management of Amazon EBS snapshots and Amazon Machine Images (AMI), automation and simplification of Amazon EBS volume and file-level restores from Amazon EBS snapshots, and application-consistent backup and recovery for Oracle, Microsoft SQL Server, MongoDB, and Cassandra databases on Amazon EC2. This session is brought to you by AWS partner, Rubrik.
Not having to worry about servers can save you time and effort. Today with a serverless platform, you can globally distribute your web-application to run on dozens of data centers across the planet, with your customers being served from the one nearest to them. In this session to learn how you can combine forces -- with Drupal as a powerful Headless CMS, AWS Lambda@Edge providing serverless compute functionality, and Amazon CloudFront accelerating content through its global network.
In this presentation, we look at architecture, integration examples, and best practices for some of the most popular use-cases from across different channels such as web, mobile, and social media. Learn more: https://aws.amazon.com/cloudfront/
AWS Lambda enables you to run code without provisioning or managing servers. AWS Lambda@Edge enables you to write Lambda functions once and execute them wherever your viewers are located. In this session, we walk through examples of web applications that use the serverless programming model for authentication, customization, and security. We show you how to design and deploy intelligent web applications using Lambda@Edge and Amazon CloudFront.
Best Practices for Building Multi-Region, Active-Active Serverless Applicatio...Amazon Web Services
In this session, we walk through building and deploying a global-scale, multi-region, active-active serverless backend using Amazon Route 53 to route the traffic among AWS Regions, Amazon API Gateway, and AWS Lambda for the backend, and Amazon DynamoDB global tables for handling data storage at a global scale. We provide a demo and a hands-on coding opportunity.
Configuration Management and Service Discovery with AWS Lambda (SRV338-R1) - ...Amazon Web Services
Your system is composed of highly decoupled, independent, fast, and modular microservices. But how can they share common configurations, dynamic endpoints, database references, and properly rotate secrets? Based on the size and complexity of your serverless system, you may use AWS Lambda environment variables, AWS Systems Manager's Parameter Store, and the recently announced AWS Secrets Manager. In this session, we showcase the best use cases for each solution, as well as corresponding best practices to achieve the highest standards for security and performance.
DevOps Concepts for Data Science (DEV347-R2) - AWS re:Invent 2018Amazon Web Services
DevOps and Data Science? How does that work? In software teams where innovation is a priority, DevOps can be an accelerator. In data science and machine learning, there are a number of factors that increase complexity of systems and thus the complexity of DevOps. This session will touch on fundamental concepts in data science such as data management, ETL, modeling, and model validation, and open discussion around some ways that common tools and processes can be used to decouple and stabilize workflows to accelerate research.
Deep Dive on AWS CloudHSM (SEC358-R1) - AWS re:Invent 2018Amazon Web Services
Organizations building applications that handle confidential or sensitive data are subject to many types of regulatory requirements, and they often rely on hardware security modules (HSMs) to provide validated control of encryption keys and cryptographic operations. AWS CloudHSM is a cloud-based HSM that enables you to easily generate and use your own encryption keys on the AWS Cloud using FIPS 140-2 Level 3 validated HSMs. This talk demonstrates best practices in configuring and scaling your CloudHSM cluster, implementing cross-region disaster recovery, and optimizing throughput.
[NEW LAUNCH!] How-to: Amazon RDS on VMware and Hybrid Database Architecture (...Amazon Web Services
Learn how to prepare your data center for Amazon RDS on VMware and enable hybrid database architectures. We’ll cover hardware, software, network, and other infrastructure requirements, and then walk through installation and onboarding in your VMware vSphere cluster. Bring your questions – we’ve got a whiteboard!
GraphQL is a popular technology among developers right now. GraphQL is the mechanism by which mobile and web apps can communicate with AWS AppSync to easily query and mutate data using as small a request as possible, enabling battery- and bandwidth-efficient communication. In this talk, we go through the basics of GraphQL and answer your questions about it.
Optimizing Performance in Amazon S3 (STG367-R2) - AWS re:Invent 2018Amazon Web Services
Amazon S3 powers some of the most performance-sensitive workloads running in the cloud today. 2018 has brought massive improvements in Amazon S3 request rates and overall throughput. In this chalk talk, you have the opportunity to interact directly with the Amazon S3 engineering team responsible for the S3 index and many other components at the core of these improvements. We discuss what's changed, including the removal of the need for prefix randomization, and the ways you can improve your architecture to enhance performance in the unique environment of Amazon S3.
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
Everywhere there is talk of modernization, containers, Kubernetes, and 900K containerized applications on Docker Hub. Yet only 35% of container workloads are in production. In this session, we explore why so many modernization journeys fail to move from the proof of concept or evaluation phase into production, and how application platforms are helping customers succeed. We explore how application platforms are mitigating the complexities and pitfalls, and how they assist enterprise customers not only in modernizing workloads but building hybrid application workloads and accelerating cloud adoption.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
Have Your Front End and Monitor It, Too (ANT303) - AWS re:Invent 2018Amazon Web Services
Amazon Elasticsearch Service (Amazon ES) is both a search solution and a log monitoring solution. In this session, we address both. We build a front-end, PHP web server that provides a search experience on movie data as well as backend monitoring to send Apache web logs, syslogs, and application logs to Amazon ES. We tune the relevance for the search experience and build Kibana visualizations for the log data. In addition, we use security best practices and deploy everything into a VPC.
Enhancing Media Workflows with Machine Learning (MAE303) - AWS re:Invent 2018Amazon Web Services
AI/ML is changing the way media companies produce and distribute content. In this workshop, we review many of the ways AI/ML can be applied throughout the entire media production and distribution process. We build an end-to-end metadata enrichment workflow that extracts meaningful metadata from content (audio, video, and images). We then build a solution that uses Amazon Rekognition, Amazon SageMaker, Amazon Transcribe, Amazon Comprehend, and Amazon Mechanical Turk to analyze content, and we use it to enrich a viewing experience and assist with compliance. We also build and train a custom object detection model, which will be used to augment the data that Amazon Rekognition provides. We cover all aspects of AI/ML-based metadata generation, from labeling a dataset, to training and hosting a model, all the way to validating the metadata prior to playout.
How Enterprises Are Modernizing Their Security, Risk Management, & Compliance...Amazon Web Services
Many organizations view security and risk & compliance functions as blockers to innovation. This chalk talk identifies the changes that are needed in executive engagement, budgeting, skills planning, and resource allocation to transform these perceived blockers into partners for innovation. We walk through an approach which can be used to address enterprise-level security, risk management, and compliance strategy. In addition, we share some key security & risk lessons from early enterprise adopters of AWS.
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Amazon Web Services
Machine learning (ML) can help people with disabilities by using facial and object recognition, text-to-speech, automatic translation, and transcription to create assistive applications. In this chalk talk, learn how to assemble ML APIs from AWS to help people in new ways.
Building the Technical Foundation for Your Security Practice (GPSCT205) - AWS...Amazon Web Services
Security is job zero at AWS. Come and learn how to build a modern security practice on AWS and supercharge it with AWS partners and serverless automation. Learn about the Security Perspectives found the AWS Well-Architected Framework, which equip your security program to not only keep your environment secure but also move fast. Learn advanced techniques to empower your teams with Amazon GuardDuty so you can elevate your team's ability to identify, protect, detect, respond, and recover from security events.
SaaS Jumpstart: A Primer for Launching Your SaaS Journey (ARC210-R2) - AWS re...Amazon Web Services
Adopting a SaaS model is no trivial effort. Wandering into the universe of multi-tenancy means tackling a broad range of new architectural challenges. How do you automate the onboarding and provisioning of new tenants? How do you secure a shared multi-tenant infrastructure and prevent any flavor of cross-tenant access? How do you effectively partition tenant data? These are amongst a core set SaaS architecture topics in this chalk which is aimed at equipping SaaS newcomers with a clear view of some of the best practices associated with delivering SaaS solutions on AWS. The goal here is to explore and discuss fundamental architectural strategies of SaaS and highlight key considerations that will shape the security, agility, and success of your SaaS applications.
Save up to 90% on Big Data and Machine Learning Workloads with Spot Instances...Amazon Web Services
Learn how you can run your big data and machine learning models as many times as you want with Amazon EC2 Spot Instances. In this session, we discuss how to architect and run big data and machine learning workloads by combining common data processing applications with Spot Instances for scalable and cost-effective computing. We also highlight real-world customer examples with machine learning workloads running on Spot Instances.
In this session, learn about the latest features in our cost management tooling. The presentation is given by the Cost Insights service team and supported by cost optimization experts from across our business.
AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...Amazon Web Services
IT infrastructure teams with on-premises applications have to manage storage arrays throughout their never-ending lifecycle, including capacity planning guesswork, hardware failures, system migrations, and more. There are cloud-enabled alternatives to buying more and more storage arrays. With AWS Storage Gateway, you can start using Amazon S3, Amazon Glacier, and Amazon EBS in hybrid architectures with on-premises applications for storage, backup, disaster recovery, tiered storage, hybrid data lakes, and ML. In this session, learn how to use AWS Storage Gateway to seamlessly connect your applications to AWS storage services with familiar block-and-file storage protocols and a local cache for fast access to hot data. We demonstrate our latest capabilities and share best practices from experienced customers.
Advanced Serverless Data Processing (GPSWS406) - AWS re:Invent 2018Amazon Web Services
In this hands-on workshop, you learn best practices and architectural patterns for building streaming data processing pipelines without servers. Using Amazon Kinesis, AWS Lambda, and other services, you have the opportunity to build, deploy, and monitor an application to ingest and process high-velocity data at scale. This advanced workshop assumes that you have experience writing Lambda functions and understand the basics of the AWS serverless platform, so come ready to dive into the deep end. Bring your laptop with a full keyboard. We provide a sandbox AWS account for you to use during the workshop.
Protecting Amazon EC2 Instances, Relational Databases, and NoSQL Workloads (S...Amazon Web Services
For many IT professionals, cloud data protection can be challenging. In this session, we explore options for protecting and restoring your Amazon EC2 instances, relational databases, and NoSQL databases, such as MongoDB and Cassandra. We show you how solutions such as Rubrik Cloud Data Management and Rubrik Datos IO augment your Amazon EC2 backup strategy, including lifecycle management of Amazon EBS snapshots and Amazon Machine Images (AMI), automation and simplification of Amazon EBS volume and file-level restores from Amazon EBS snapshots, and application-consistent backup and recovery for Oracle, Microsoft SQL Server, MongoDB, and Cassandra databases on Amazon EC2. This session is brought to you by AWS partner, Rubrik.
Not having to worry about servers can save you time and effort. Today with a serverless platform, you can globally distribute your web-application to run on dozens of data centers across the planet, with your customers being served from the one nearest to them. In this session to learn how you can combine forces -- with Drupal as a powerful Headless CMS, AWS Lambda@Edge providing serverless compute functionality, and Amazon CloudFront accelerating content through its global network.
In this presentation, we look at architecture, integration examples, and best practices for some of the most popular use-cases from across different channels such as web, mobile, and social media. Learn more: https://aws.amazon.com/cloudfront/
AWS Lambda enables you to run code without provisioning or managing servers. AWS Lambda@Edge enables you to write Lambda functions once and execute them wherever your viewers are located. In this session, we walk through examples of web applications that use the serverless programming model for authentication, customization, and security. We show you how to design and deploy intelligent web applications using Lambda@Edge and Amazon CloudFront.
Migrating Real-Time Sports Scores to the Cloud via Low-Latency Messaging (API...Amazon Web Services
In this session, learn how media company Turner Broadcasting delivers real-time sports scores to high-profile sites like the NCAA and PGA using Amazon MQ. Gain a deeper understanding of how Turner migrated from their on-premises message broker to Amazon MQ, and was able to preserve the low-latency messaging expected by their customers. Expect to leave with insights on the migration process, including the surprisingly fast timelines, and the benefits of a managed message broker service.
Improve Efficiency by Migrating Messaging to Amazon MQ - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how Amazon MQ makes messaging and migration more manageable so you can maximize productivity and reduce cost
- Learn how other enterprises benefit from moving to a managed message broker
- Learn how to set up a new message broker in 3 quick steps
How to build scalable and resilient applications in the cloud - AWS Summit Ca...Amazon Web Services
Speaker: Adrian Hornsby, AWS
Level: 300
Ever wondered how companies delivering global services like Amazon or Netflix are architecting and testing their software systems? If you are curious and wanna learn how they do it - this is for you! In this session, will deep dive into availability, reliability and large-scale architectures and make an introduction to chaos engineering, a discipline that promotes breaking things on purpose in order to learn how to build more resilient systems.
How to Build Multi-Region Applications in the Cloud: AWS Developer Workshop -...Amazon Web Services
How to Build Multi-Region Applications in the Cloud: AWS Developer Workshop - Web Summit 2018
Customers are often looking at running their services at global scale, deploying their backend in multiple regions. This hands-on talk will walk you through understanding why and how customers are building and deploying multi-region architecture. I will then walk you through deploying a multi-region, active-active serverless backend leveraging Amazon Route 53 to route the traffic between regions, API Gateway and AWS Lambda for the backend and DynamoDB Global tables for multi-region, multi-master for handling the data storage at global scale.
Demo and hands-on code guaranteed!
Speaker: Adrian Hornsby - Technical Evangelist, AWS
How to Secure Sensitive Customer Data Using Amazon CloudFront - AWS Online Te...Amazon Web Services
Learning Objectives:
- Learn how to secure and control the access of critical customer data (e.g., payment instruments, social security numbers, phone numbers, etc.) at rest, in use, or in transit
- Learn how it will help your company abide by the strictest data handling policies such as PCI DSS compliance, and HIPAA
- Learn how to configure Amazon CloudFront
Meeting Enterprise Security Requirements with AWS Native Security Services (S...Amazon Web Services
GE has very deep security requirements for their cloud applications. In this session, hear their story on replacing on premises complex solutions with AWS native services like Amazon GuardDuty, VPC Flow logs, AWS CloudTrail, and AWS Config rules. Learn how large enterprises can accelerate their cloud adoption by meeting established security standards with AWS native services. 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.
Create a Frictionless, Connected Retail Checkout Experience Inspired by Amazo...Amazon Web Services
In this chalk talk, we show you how to build a connected, frictionless retail checkout experience, inspired by Amazon Go. We briefly explain the user experience, technical specifications, and we then delve into the implementation details of the project. We show you how to create SSD Object Detection and Visual Search models in Amazon SageMaker with the details of the end-to-end lifecycle of the dataset, including creation, training, tuning and deployment. We also, show you how to write AWS Lambda functions for IoT edge devices with AWS Greengrass, and how AWS Greengrass can interact simultaneously with IoT sensors, such as a door or weight. Finally, we explain the details of a sensor fusion algorithm that combines the data to the customer purchase transaction.
[NEW LAUNCH!] Introduction to AWS Security Hub (SEC397) - AWS re:Invent 2018Amazon Web Services
Learn about AWS Security Hub, and how it gives you a comprehensive view of your high-priority security alerts and your compliance status across AWS accounts. See how Security Hub aggregates, organizes, and prioritizes your alerts, or findings, from multiple AWS services, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie, as well as from AWS Partner solutions. We will demonstrate how you can continuously monitor your environment using compliance checks based on the AWS best practices and industry standards your organization follows.
Deploying Your ONNX Deep Learning with Apache MXNet Model Server (AIM413) - A...Amazon Web Services
In this chalk talk, we discuss how you can use Apache MXNet Model Server to deploy ONNX models. We get into the nuts and bolts of deployments, and we discuss monitoring model performance using Amazon CloudWatch integration.
A Few Milliseconds in the Life of an HTTP Request (CTD416) - AWS re:Invent 2018Amazon Web Services
In Amazon CloudFront, a lot happens in just a few milliseconds. Join us for a dive deep into the infrastructure and architecture of the AWS edge services, including Amazon CloudFront, Amazon Route 53, AWS Shield, and AWS WAF. We break down the life of an HTTP request, and any request in general, and walk you through how each of the AWS edge services work together in just a few milliseconds to consistently deliver your application’s content with high availability, security, and performance. Learn how edge services intelligently route requests to the most ideal edge location, secure your content behind the scenes, and leverage the AWS private network for improved performance.
Bring the Power of AI to Your Amazon Connect Contact Center (BAP322-R1) - AWS...Amazon Web Services
With Amazon Connect, a cloud-based contact center service, businesses can create dynamic contact flows that provide personalized caller experiences by taking history and past context into consideration to anticipate callers’ needs. Join us to learn how customers are executing successful strategies using Amazon Lex to add NLU chatbots into their Amazon Connect customer experience workflows. Learn how using Amazon Lex, an AI service that enables you to create intelligent conversational chatbots that can turn your contact flows into natural conversations using the same technology that powers Amazon Alexa. Learn how to automate repeatable routine tasks such as password resets, order status, and balance inquiries without the need for an agent.
Lambda land: Running a serverless ticketing platform for less than $2 a monthSrushith Repakula
The presentation covers the various aspects involved in a ticketing platform, architectural design decisions made, discussing the pros and cons of the decisions while considering various factors like cost, scalability, performance and security etc.
Talk by Srushith R, Head of Engineering at CodeOps Technologies on the topic "Running a serverless ticketing platform for less than $2 a month" at AWS Community Day, Bangalore 2018
Building Massively Parallel Event-Driven Architectures (SRV373-R1) - AWS re:I...Amazon Web Services
Data and events are the lifeblood of any modern application. By using stateless, loosely coupled microservices communicating through events, developers can build massively scalable systems that can process trillions of requests in seconds. In this talk, we cover design patterns for using Amazon SQS, Amazon SNS, AWS Step Functions, AWS Lambda, and Amazon S3 to build data processing and real-time notification systems with unbounded scale and serverless cost characteristics. We also explore how these approaches apply to practical use cases, such as training machine learning models, media processing, and data cleansing.
Inventory, Track, and Respond to AWS Asset Changes within Seconds at Scale (S...Amazon Web Services
Large AWS environments have assets distributed across many accounts and regions. Ideally, asset inventory should be timely and provide an audit trail to document who made the changes and when. This is required for security teams to quickly react to insecure configurations and for DevOps tooling to manage infrastructure effectively. The traditional means of obtaining the timely and current state of AWS assets is to very frequently poll over the entire infrastructure, often tens of times per minute. This becomes increasingly difficult as AWS infrastructures grow in complexity. Additionally, polling for infrastructure changes provides no auditability context. In this session, learn how to inventory, track, and respond to AWS asset changes with seconds at scale.
Similar to Bridging Message Brokers to Cloud-Native Messaging Services (API210-R2) - 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.
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.