Pharmaceutical company processes tend to be slow when dealing with customer-facing applications that contain FDA-validated messages, all while maintaining infrastructure and security standards. In this session, discover how Mylan, a US–based global generic and specialty pharmaceutical company, overcame these obstacles and provided scalable solutions by leveraging AWS DevOps methods that lower time to market, while maintaining robust security and release management practices. During the presentation, learn how Mylan redefined process models such as infrastructure change management to define new security and process models. Additionally, learn how Mylan used services like Amazon S3, Elastic Load Balancing (ELB), and AWS CloudFormation to define these new models.
MAE405_Build a 360° Immersive Media Video Solution on AWSAmazon Web Services
In this workshop, participants will learn how to build and deploy a solution capable of ingest and delivery of live 360 degree immersive video. We will build infrastructure using Amazon EC2 Spot Instances, Amazon S3, and Amazon CloudFront, and learn how video can be transcoded for adaptive bitrate-based OTT streaming. We will also record the live video and transcode it using Amazon Elastic Transcoder along with Amazon S3 event notifications. Finally, we will host and deploy an HTML5 web player capable of displaying and panning the 360 degree content. Bring a laptop, and have an AWS account with IAM admin privileges that includes full access to Amazon EC2, EC2 Spot Instances, AWS CloudFormation, Amazon S3 and Amazon CloudFront. An Android or iOS tablet is optional.
NEW LAUNCH! AWS Serverless Application Repository - SRV215 - re:Invent 2017Amazon Web Services
The document discusses the AWS Serverless Application Repository, which allows users to easily discover, deploy, and publish serverless applications. It provides examples of serverless applications that can be built with components like AWS Lambda and Amazon API Gateway. The repository aims to improve on limitations of existing options for sharing serverless code by integrating deployment packages and workflows.
ABD302_Real-Time Data Exploration and Analytics with Amazon Elasticsearch Ser...Amazon Web Services
The document is about real-time data exploration and analytics using Amazon Elasticsearch Service. It discusses ingesting and storing data in Elasticsearch, sizing the Elasticsearch domain, securing the domain, adding durability, monitoring the domain, and analyzing the stored data. The presentation was given by Jon Handler, a Principal Solutions Architect at AWS, at AWS re:Invent in November 2017.
GAM401_Designing for the Future Building a Flexible Event-based Analytics Arc...Amazon Web Services
The pace of technology innovation is relentless, especially at AWS. Designing and building new system architectures is a balancing act between using established, production-ready technologies while maintaining the ability to evolve and take advantage of new features and innovations as they become available. In this session, learn how Amazon Game Studios built a flexible analytics pipeline on AWS for their team battle sport game, Breakaway, that provided value on day one, but was built with the future in mind. We will discuss the challenges we faced and the solution we built for ingesting, storing and analyzing gameplay telemetry and dive deep into the technical architecture using AWS many services including Amazon Kinesis, Amazon S3, and Amazon Redshift. This session will focus on game analytics as a specific use case, but will emphasize an overarching focus on designing an architectural flexibility that is relevant to any system.
NEW LAUNCH! Introducing Amazon EKS - CON215 - re:Invent 2017Amazon Web Services
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a new managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
Increasingly, organizations are turning to microservices to help them empower autonomous teams, letting them innovate and ship software faster than ever before. But implementing a microservices architecture comes with a number of new challenges that need to be dealt with. Chief among these finding an appropriate platform to help manage a growing number of independently deployable services.
In this session, Sam Newman, author of Building Microservices and a renowned expert in microservices strategy, will discuss strategies for building scalable and robust microservices architectures, how to choose the right platform for building microservices, and common challenges and mistakes organizations make when they move to microservices architectures."
STG311_Deep Dive on Amazon S3 & Amazon Glacier Storage ManagementAmazon Web Services
Learn best practices for Amazon Simple Storage Service (Amazon S3) performance optimization, security, data protection, storage management, and much more. Learn how to optimize key naming to increase throughput, apply the appropriate AWS Identity and Access Management (IAM) and encryption configurations, and leverage object tagging and other features to enhance security.
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.
MAE405_Build a 360° Immersive Media Video Solution on AWSAmazon Web Services
In this workshop, participants will learn how to build and deploy a solution capable of ingest and delivery of live 360 degree immersive video. We will build infrastructure using Amazon EC2 Spot Instances, Amazon S3, and Amazon CloudFront, and learn how video can be transcoded for adaptive bitrate-based OTT streaming. We will also record the live video and transcode it using Amazon Elastic Transcoder along with Amazon S3 event notifications. Finally, we will host and deploy an HTML5 web player capable of displaying and panning the 360 degree content. Bring a laptop, and have an AWS account with IAM admin privileges that includes full access to Amazon EC2, EC2 Spot Instances, AWS CloudFormation, Amazon S3 and Amazon CloudFront. An Android or iOS tablet is optional.
NEW LAUNCH! AWS Serverless Application Repository - SRV215 - re:Invent 2017Amazon Web Services
The document discusses the AWS Serverless Application Repository, which allows users to easily discover, deploy, and publish serverless applications. It provides examples of serverless applications that can be built with components like AWS Lambda and Amazon API Gateway. The repository aims to improve on limitations of existing options for sharing serverless code by integrating deployment packages and workflows.
ABD302_Real-Time Data Exploration and Analytics with Amazon Elasticsearch Ser...Amazon Web Services
The document is about real-time data exploration and analytics using Amazon Elasticsearch Service. It discusses ingesting and storing data in Elasticsearch, sizing the Elasticsearch domain, securing the domain, adding durability, monitoring the domain, and analyzing the stored data. The presentation was given by Jon Handler, a Principal Solutions Architect at AWS, at AWS re:Invent in November 2017.
GAM401_Designing for the Future Building a Flexible Event-based Analytics Arc...Amazon Web Services
The pace of technology innovation is relentless, especially at AWS. Designing and building new system architectures is a balancing act between using established, production-ready technologies while maintaining the ability to evolve and take advantage of new features and innovations as they become available. In this session, learn how Amazon Game Studios built a flexible analytics pipeline on AWS for their team battle sport game, Breakaway, that provided value on day one, but was built with the future in mind. We will discuss the challenges we faced and the solution we built for ingesting, storing and analyzing gameplay telemetry and dive deep into the technical architecture using AWS many services including Amazon Kinesis, Amazon S3, and Amazon Redshift. This session will focus on game analytics as a specific use case, but will emphasize an overarching focus on designing an architectural flexibility that is relevant to any system.
NEW LAUNCH! Introducing Amazon EKS - CON215 - re:Invent 2017Amazon Web Services
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a new managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
Increasingly, organizations are turning to microservices to help them empower autonomous teams, letting them innovate and ship software faster than ever before. But implementing a microservices architecture comes with a number of new challenges that need to be dealt with. Chief among these finding an appropriate platform to help manage a growing number of independently deployable services.
In this session, Sam Newman, author of Building Microservices and a renowned expert in microservices strategy, will discuss strategies for building scalable and robust microservices architectures, how to choose the right platform for building microservices, and common challenges and mistakes organizations make when they move to microservices architectures."
STG311_Deep Dive on Amazon S3 & Amazon Glacier Storage ManagementAmazon Web Services
Learn best practices for Amazon Simple Storage Service (Amazon S3) performance optimization, security, data protection, storage management, and much more. Learn how to optimize key naming to increase throughput, apply the appropriate AWS Identity and Access Management (IAM) and encryption configurations, and leverage object tagging and other features to enhance security.
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.
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.
To win in the marketplace and provide differentiated customer experiences, businesses need to be able to use live data in real time to facilitate fast decision making. In this session, you learn common streaming data processing use cases and architectures. First, we give an overview of streaming data and AWS streaming data capabilities. Next, we look at a few customer examples and their real-time streaming applications. Finally, we walk through common architectures and design patterns of top streaming data use cases.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
The document discusses AWS IoT Analytics and provides an overview of its components and capabilities. It describes how AWS IoT Analytics can be used to collect, preprocess, enrich, store, analyze and visualize IoT device data at scale. Examples are given of how various customers like Valmet and iDevices are using AWS IoT Analytics for applications like predictive maintenance, product optimization, and gaining business insights.
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.
This document summarizes a presentation given by Henry Hahn on launching applications using AWS services. It discusses how Amazon transformed its development practices to focus on DevOps principles like continuous integration and delivery. It also outlines the various AWS Code services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline that help automate the software development lifecycle from source control to deployment. The presentation demonstrates using these services to deploy a sample application through CodeStar and monitoring the deployment pipeline.
ARC207_Monitoring Performance of Enterprise Applications on AWSAmazon Web Services
"Applications running in a typical data center are static entities. But applications aren't static in the cloud. Dynamic scaling and resource allocation is the norm on AWS. Technologies such as Amazon EC2, AWS Lambda, and Auto Scaling provide flexibility in building dynamic applications and with this flexibility comes an opportunity to learn how an enterprise application functions optimally.
New Relic helps manage these applications without sacrificing simplicity.
In this session, we discuss changes in monitoring dynamic cloud resources. We'll share best practices we’ve learned working with New Relic customers on managing applications running in this environment to understand and optimize how they are performing.
Session sponsored by New Relic"
NEW LAUNCH! Infinitely Scalable Machine Learning Algorithms with Amazon AI - ...Amazon Web Services
In machine learning, training large models on massive amount of data usually improved results. Our customers report, however, that training such models and deploying them is either operationally prohibitive or outright impossible for them. Amazon AI Algorithms is designed to solve this problem. It is a collection of distributed streaming ML algorithms that scale to any amount of data. They are fast and efficient because they distribute across CPU/GPU machines and share a collective distributed state via a highly-optimized parameter server. They scale to an infinite amount of data because they operate in the streaming model. This means they require only one pass over the data and never increase their resources consumption, allowing training to be paused, resumed, and snapshotted and even for algorithms to consume kinesis streams directly providing an “always on” training mechanism. They are production ready. Trained models are automatically containerized and useable in production using Amazon SageMaker hosting. Finally, we provide a convenient SDK which allows scientists to create new algorithms which operate in this model and enjoy all the benefits above.
This talk will discuss our design choices and some of the internal working of the system. It will also describe the distributed streaming model and its numerous benefits to machine learning practitioners. We will show how to invoke large scale learning from Amazon SageMaker, or Amazon EMR, and host the solution. Time permits, we will show how to develop a new Algorithm using the SDK.
Reinforcement Learning – The Ultimate AI - ARC320 - re:Invent 2017Amazon Web Services
Reinforcement Learning (RL) can be used to solve real-world problems in robotics and conversational engines without supervision. AI algorithms that observe their surroundings and learn are considered to be the ultimate forms of AI. The RL use cases shines in multi-agent scenarios where each agent reacts in real-time to the changing situation. In this session, we explain RL, the theory, and the algorithms used. We show an MXNet-based demo that will automatically learn to play a game. We use a game and show how an agent powered by MXNet takes actions to win. Initially, you notice that the agent making very little progress, but after a few dozen iterations, it can play the game better than any human being. You can generalize this to real world problems. RL is currently used today in robotics, gaming, autonomous vehicle control, spoken language systems and many more. In this talk, I will be using Amazon EC2 P2 instances, AWS deep learning AMI, MXnet deep learning framework, Amazon EBS, and Amazon S3.
Given the complexity and scale of contemporary games, it’s been a dream of game creators to algorithmically generate game content. Nexon wanted to create a large-scale, open-world MMORPG called Durango, where algorithmic generation is desperately needed to minimize development costs and maintain game longevity. In-game objects such as trees and plants are placed based on complex rules, with the intention of mimicking the realistic ecosystem that evolves continuously. However, a large amount of computation and a careful orchestration of various computing resources are required due to the immense size of the in-game lands. Nexon achieved this goal by leveraging AWS services to take advantage of massive parallelism supported by the infrastructure. In this talk, Nexon discusses the architecture they settled on for algorithmic generation of game content in a large scale, and the AWS services involved such as Amazon SQS and Amazon ECS with automatic scaling and spot instances.
Introduction to AWS Fargate & Amazon Elastic Container Service for KubernetesAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
MBL309_User Engagement, Messaging, and Analytics Using Amazon Pinpoint from A...Amazon Web Services
The document discusses Amazon Pinpoint, a service that allows users to engage customers, send messages, and analyze user behavior and analytics. It provides an overview of key Pinpoint concepts like user segmentation, targeting channels for delivery, and analytics. It also demonstrates how to set up a Pinpoint project using the AWS CLI and SDKs to import user data, create campaigns for messaging, and extend Pinpoint with custom integrations.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
WPS207_Building On-Demand Classrooms and Labs Using Amazon WorkSpaces and Ama...Amazon Web Services
Explore how education can create equitable learning experiences in the era of bring-your-own-device and Google Chromebooks, by delivering Microsoft Windows applications to students with Amazon WorkSpaces and Amazon AppStream 2.0. We discuss how students of all ages can use design applications, business intelligence tools, technical programs, and even desktop games such as Minecraft as part of their class curriculum, and still have a unified end-user experience, regardless of the hardware they are using. We dive into the steps for setting up WorkSpaces and AppStream 2.0 within a classroom, choosing the right option for your school, connecting existing storage and identity, enabling applications for students, and managing costs.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
The document discusses Panasonic's work with Amazon Web Services (AWS) to build connected vehicle technology. It describes Panasonic's history and role in vehicle infotainment systems. It then outlines the current challenges with connected vehicle architectures, including single points of failure and limited bandwidth. The proposed future state architecture leverages AWS services like IoT, Kinesis, and Greengrass to address these challenges by providing high availability, scalability, and edge capabilities. It also describes Panasonic's work testing connected vehicle hardware and building proof of concepts.
GPSWKS408-GPS Migrate Your Databases with AWS Database Migration Service and ...Amazon Web Services
Database migration is one of the most commonly performed tasks in the journey to the AWS Cloud. In this workshop, we help migration solutions architects, engineers, and program staff gain in-depth knowledge, hands-on experience, and best practices in using the AWS Database Migration Service (AWS DMS) and its companion, the AWS Schema Conversion Tool (AWS SCT). First, we walk through database migration methodologies and provide field data about what customers are doing with AWS DMS and AWS SCT. Then, we take a closer look at AWS DMS and AWS SCT features, architecture, workflows, and Amazon Aurora as a destination database. Attendees work through a lab to gain firsthand experience in database migration. To get the most out of this session, bring a laptop for the lab and have a QwikLabs account.
Oracle Enterprise Solutions on AWS - ENT326 - re:Invent 2017Amazon Web Services
This document summarizes a presentation about running Oracle enterprise solutions on AWS. It discusses how several large customers have successfully migrated Oracle E-Business Suite, PeopleSoft, and Siebel applications to AWS. The presentation covers the architectures for running these applications on AWS, along with considerations for backups, high availability, and migration strategies using tools like AWS Database Migration Service. It also discusses a case study of how consulting partner Sierra-Cedar helped a customer migrate their PeopleSoft environment from their data center to AWS.
ABD307_Deep Analytics for Global AWS Marketing OrganizationAmazon Web Services
To meet the needs of the global marketing organization, the AWS marketing analytics team built a scalable platform that allows the data science team to deliver custom econometric and machine learning models for end user self-service. To meet data security standards, we use end-to-end data encryption and different AWS services such as Amazon Redshift, Amazon RDS, Amazon S3, Amazon EMR with Apache Spark and Auto Scaling. In this session, you see real examples of how we have scaled and automated critical analysis, such as calculating the impact of marketing programs like re:Invent and prioritizing leads for our sales teams.
Learn best practices for Amazon Simple Storage Service (Amazon S3) performance optimization, security, data protection, storage management, and much more. Learn how to optimize key naming to increase throughput, apply the appropriate AWS Identity and Access Management (IAM) and encryption configurations, and leverage object tagging and other features to enhance security.
CON318_Interstella 8888 Monolith to Microservices with Amazon ECSAmazon Web Services
This document summarizes a workshop on migrating a monolithic application architecture to a microservices architecture using Amazon ECS. The workshop consists of 3 labs: 1) deploying the monolithic application as a container on ECS, 2) incrementally building microservices and deploying them on ECS to replace functionality in the monolith, and 3) using an Application Load Balancer to route requests to the monolith and microservices. The goal is to help Interstella 8888, an intergalactic trading company, scale its logistics platform for processing rare resource orders by adopting a microservices approach.
Building the Largest Repo for Serverless Compliance-as-Code - SID205 - re:Inv...Amazon Web Services
When you use the cloud to enable speed and agility, how do you know if you did it right? We are on a mission to help builders follow industry best practices within security guide rails by creating the largest compliance-as-code repo, available to all. Compliance-as-code is the idea to translate those best practices, guide rails, policies, or standards into codified unit testing. Apply this to your AWS environment to provide insights on what can/must be improved. Learn why compliance-as-code matters to gain speed (by getting developers, architects, and security pros on the same page), how it is currently used (demo), and how to start to use it or be part of building it.
The document discusses establishing a cloud policy framework for governance. It describes challenges with a bring-your-own-tools approach and proposes implementing policies as code with defined triggers, conditions, actions, and targets. Examples are provided for security, reliability, and cost policies. Automating policy evaluation and reporting on metrics is suggested for effective governance.
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.
To win in the marketplace and provide differentiated customer experiences, businesses need to be able to use live data in real time to facilitate fast decision making. In this session, you learn common streaming data processing use cases and architectures. First, we give an overview of streaming data and AWS streaming data capabilities. Next, we look at a few customer examples and their real-time streaming applications. Finally, we walk through common architectures and design patterns of top streaming data use cases.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
The document discusses AWS IoT Analytics and provides an overview of its components and capabilities. It describes how AWS IoT Analytics can be used to collect, preprocess, enrich, store, analyze and visualize IoT device data at scale. Examples are given of how various customers like Valmet and iDevices are using AWS IoT Analytics for applications like predictive maintenance, product optimization, and gaining business insights.
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.
This document summarizes a presentation given by Henry Hahn on launching applications using AWS services. It discusses how Amazon transformed its development practices to focus on DevOps principles like continuous integration and delivery. It also outlines the various AWS Code services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline that help automate the software development lifecycle from source control to deployment. The presentation demonstrates using these services to deploy a sample application through CodeStar and monitoring the deployment pipeline.
ARC207_Monitoring Performance of Enterprise Applications on AWSAmazon Web Services
"Applications running in a typical data center are static entities. But applications aren't static in the cloud. Dynamic scaling and resource allocation is the norm on AWS. Technologies such as Amazon EC2, AWS Lambda, and Auto Scaling provide flexibility in building dynamic applications and with this flexibility comes an opportunity to learn how an enterprise application functions optimally.
New Relic helps manage these applications without sacrificing simplicity.
In this session, we discuss changes in monitoring dynamic cloud resources. We'll share best practices we’ve learned working with New Relic customers on managing applications running in this environment to understand and optimize how they are performing.
Session sponsored by New Relic"
NEW LAUNCH! Infinitely Scalable Machine Learning Algorithms with Amazon AI - ...Amazon Web Services
In machine learning, training large models on massive amount of data usually improved results. Our customers report, however, that training such models and deploying them is either operationally prohibitive or outright impossible for them. Amazon AI Algorithms is designed to solve this problem. It is a collection of distributed streaming ML algorithms that scale to any amount of data. They are fast and efficient because they distribute across CPU/GPU machines and share a collective distributed state via a highly-optimized parameter server. They scale to an infinite amount of data because they operate in the streaming model. This means they require only one pass over the data and never increase their resources consumption, allowing training to be paused, resumed, and snapshotted and even for algorithms to consume kinesis streams directly providing an “always on” training mechanism. They are production ready. Trained models are automatically containerized and useable in production using Amazon SageMaker hosting. Finally, we provide a convenient SDK which allows scientists to create new algorithms which operate in this model and enjoy all the benefits above.
This talk will discuss our design choices and some of the internal working of the system. It will also describe the distributed streaming model and its numerous benefits to machine learning practitioners. We will show how to invoke large scale learning from Amazon SageMaker, or Amazon EMR, and host the solution. Time permits, we will show how to develop a new Algorithm using the SDK.
Reinforcement Learning – The Ultimate AI - ARC320 - re:Invent 2017Amazon Web Services
Reinforcement Learning (RL) can be used to solve real-world problems in robotics and conversational engines without supervision. AI algorithms that observe their surroundings and learn are considered to be the ultimate forms of AI. The RL use cases shines in multi-agent scenarios where each agent reacts in real-time to the changing situation. In this session, we explain RL, the theory, and the algorithms used. We show an MXNet-based demo that will automatically learn to play a game. We use a game and show how an agent powered by MXNet takes actions to win. Initially, you notice that the agent making very little progress, but after a few dozen iterations, it can play the game better than any human being. You can generalize this to real world problems. RL is currently used today in robotics, gaming, autonomous vehicle control, spoken language systems and many more. In this talk, I will be using Amazon EC2 P2 instances, AWS deep learning AMI, MXnet deep learning framework, Amazon EBS, and Amazon S3.
Given the complexity and scale of contemporary games, it’s been a dream of game creators to algorithmically generate game content. Nexon wanted to create a large-scale, open-world MMORPG called Durango, where algorithmic generation is desperately needed to minimize development costs and maintain game longevity. In-game objects such as trees and plants are placed based on complex rules, with the intention of mimicking the realistic ecosystem that evolves continuously. However, a large amount of computation and a careful orchestration of various computing resources are required due to the immense size of the in-game lands. Nexon achieved this goal by leveraging AWS services to take advantage of massive parallelism supported by the infrastructure. In this talk, Nexon discusses the architecture they settled on for algorithmic generation of game content in a large scale, and the AWS services involved such as Amazon SQS and Amazon ECS with automatic scaling and spot instances.
Introduction to AWS Fargate & Amazon Elastic Container Service for KubernetesAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
MBL309_User Engagement, Messaging, and Analytics Using Amazon Pinpoint from A...Amazon Web Services
The document discusses Amazon Pinpoint, a service that allows users to engage customers, send messages, and analyze user behavior and analytics. It provides an overview of key Pinpoint concepts like user segmentation, targeting channels for delivery, and analytics. It also demonstrates how to set up a Pinpoint project using the AWS CLI and SDKs to import user data, create campaigns for messaging, and extend Pinpoint with custom integrations.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
WPS207_Building On-Demand Classrooms and Labs Using Amazon WorkSpaces and Ama...Amazon Web Services
Explore how education can create equitable learning experiences in the era of bring-your-own-device and Google Chromebooks, by delivering Microsoft Windows applications to students with Amazon WorkSpaces and Amazon AppStream 2.0. We discuss how students of all ages can use design applications, business intelligence tools, technical programs, and even desktop games such as Minecraft as part of their class curriculum, and still have a unified end-user experience, regardless of the hardware they are using. We dive into the steps for setting up WorkSpaces and AppStream 2.0 within a classroom, choosing the right option for your school, connecting existing storage and identity, enabling applications for students, and managing costs.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
The document discusses Panasonic's work with Amazon Web Services (AWS) to build connected vehicle technology. It describes Panasonic's history and role in vehicle infotainment systems. It then outlines the current challenges with connected vehicle architectures, including single points of failure and limited bandwidth. The proposed future state architecture leverages AWS services like IoT, Kinesis, and Greengrass to address these challenges by providing high availability, scalability, and edge capabilities. It also describes Panasonic's work testing connected vehicle hardware and building proof of concepts.
GPSWKS408-GPS Migrate Your Databases with AWS Database Migration Service and ...Amazon Web Services
Database migration is one of the most commonly performed tasks in the journey to the AWS Cloud. In this workshop, we help migration solutions architects, engineers, and program staff gain in-depth knowledge, hands-on experience, and best practices in using the AWS Database Migration Service (AWS DMS) and its companion, the AWS Schema Conversion Tool (AWS SCT). First, we walk through database migration methodologies and provide field data about what customers are doing with AWS DMS and AWS SCT. Then, we take a closer look at AWS DMS and AWS SCT features, architecture, workflows, and Amazon Aurora as a destination database. Attendees work through a lab to gain firsthand experience in database migration. To get the most out of this session, bring a laptop for the lab and have a QwikLabs account.
Oracle Enterprise Solutions on AWS - ENT326 - re:Invent 2017Amazon Web Services
This document summarizes a presentation about running Oracle enterprise solutions on AWS. It discusses how several large customers have successfully migrated Oracle E-Business Suite, PeopleSoft, and Siebel applications to AWS. The presentation covers the architectures for running these applications on AWS, along with considerations for backups, high availability, and migration strategies using tools like AWS Database Migration Service. It also discusses a case study of how consulting partner Sierra-Cedar helped a customer migrate their PeopleSoft environment from their data center to AWS.
ABD307_Deep Analytics for Global AWS Marketing OrganizationAmazon Web Services
To meet the needs of the global marketing organization, the AWS marketing analytics team built a scalable platform that allows the data science team to deliver custom econometric and machine learning models for end user self-service. To meet data security standards, we use end-to-end data encryption and different AWS services such as Amazon Redshift, Amazon RDS, Amazon S3, Amazon EMR with Apache Spark and Auto Scaling. In this session, you see real examples of how we have scaled and automated critical analysis, such as calculating the impact of marketing programs like re:Invent and prioritizing leads for our sales teams.
Learn best practices for Amazon Simple Storage Service (Amazon S3) performance optimization, security, data protection, storage management, and much more. Learn how to optimize key naming to increase throughput, apply the appropriate AWS Identity and Access Management (IAM) and encryption configurations, and leverage object tagging and other features to enhance security.
CON318_Interstella 8888 Monolith to Microservices with Amazon ECSAmazon Web Services
This document summarizes a workshop on migrating a monolithic application architecture to a microservices architecture using Amazon ECS. The workshop consists of 3 labs: 1) deploying the monolithic application as a container on ECS, 2) incrementally building microservices and deploying them on ECS to replace functionality in the monolith, and 3) using an Application Load Balancer to route requests to the monolith and microservices. The goal is to help Interstella 8888, an intergalactic trading company, scale its logistics platform for processing rare resource orders by adopting a microservices approach.
Building the Largest Repo for Serverless Compliance-as-Code - SID205 - re:Inv...Amazon Web Services
When you use the cloud to enable speed and agility, how do you know if you did it right? We are on a mission to help builders follow industry best practices within security guide rails by creating the largest compliance-as-code repo, available to all. Compliance-as-code is the idea to translate those best practices, guide rails, policies, or standards into codified unit testing. Apply this to your AWS environment to provide insights on what can/must be improved. Learn why compliance-as-code matters to gain speed (by getting developers, architects, and security pros on the same page), how it is currently used (demo), and how to start to use it or be part of building it.
The document discusses establishing a cloud policy framework for governance. It describes challenges with a bring-your-own-tools approach and proposes implementing policies as code with defined triggers, conditions, actions, and targets. Examples are provided for security, reliability, and cost policies. Automating policy evaluation and reporting on metrics is suggested for effective governance.
For many organizations, a perceived lack of cloud skills in their staff can limit their move to the cloud. Proper training of your engineers and developers can speed the pace of adoption, cloud migration, and delivery of business benefits by effectively operating the AWS Cloud. In this session, we discuss field-proven, prescriptive steps for reskilling and scaling your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively.
Speaker: Jonathan Allen, EMEA Enterprise Strategist & Evangelist, Amazon Web Services
Introduction to the Security Perspective of the Cloud Adoption FrameworkAmazon Web Services
The Security Perspective of the AWS Cloud Adoption Framework (CAF) provides a framework for maturation via a structured program that incorporates best practices and processes to define, build, and optimize how you operate security controls in the AWS Cloud. The Security Perspective of the CAF provides a set of five core foundational themes designed to help you structure your selection and implementation of controls that are right for your business: AWS Identity and Access Management, detective controls, infrastructure security, data protection, and incident response. During this session, you will learn how to put the Security Perspective of the CAF into practice.
Speaker: Bill Reid - Sr. Manager, Solutions Architecture, AWS
Leveraging a Cloud Policy Framework - From Zero to Well Governed - ENT318 - r...Amazon Web Services
Governing cloud infrastructure at scale requires software that enables you to capture and drive management from internal policies, best practices, and reference architectures. A policy-driven management and governance strategy is critical to successfully operate in cloud and hybrid environments. As infrastructure grows, you might leverage knowledge that extends beyond the organization. An open-source “cloud policy framework” enables users to leverage a community that can help define and tune best practice policies, and help SaaS vendors and ISVs capture the best way to manage an application and share it with customers. A well-defined management and governance strategy enables you to put automation in place that keeps your cloud running securely and efficiently without having to take it on as a full-time job. This session discusses the development of a “cloud policy framework” that enables users to leverage open source rule definition organizations can use to govern their cloud. Learn best practice policies for managing all aspects of services, applications, and infrastructure across cost, availability, performance, security and usage.
Session sponsored by CloudHealth Technologies
The Enterprise Fast Lane - What Your Competition Doesn't Want You to Know abo...Amazon Web Services
The document discusses how AutoScout24 transformed its enterprise IT organization to become cloud native. It covers how the company transitioned from a monolithic architecture running in its own data centers to a microservices architecture built on AWS. This involved cultural changes like moving to autonomous teams organized around business capabilities rather than technical stacks. The transformation principles discussed include becoming data-driven, embracing failure, and empowering cross-functional teams of engineers. The goal was to enable faster innovation, reduce costs, and attract top talent through an evolutionary approach to digital transformation.
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.
ENT212-An Overview of Best Practices for Large-Scale MigrationsAmazon Web Services
We've partnered with hundreds of customers on their large-scale migrations to AWS. This session outlines some of the common challenges that our customers face and how they've overcome these challenges. The session also describes the patterns we've observed that make legacy migrations successful, and the mechanisms we've created to help customers migrate faster.
Introduction to the Security Perspective of the Cloud Adoption FrameworkAmazon Web Services
by Bill Reid, Sr Mgr, Solutions Architecture 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.
Cloud migration is more than simply a business efficiency or a cost-saving measure. It’s a critical step towards digital transformation, innovation and operational resilience that has opened up opportunities for those who’ve embraced cloud adoption.
Whether you are looking to embark on your cloud migration or scaling the number of applications you’re moving to the cloud, it does not need to be a daunting task or one that you go at alone. AWS offers 10 years of experience helping businesses to efficiently move their legacy on-premises systems to the cloud. We work closely alongside numerous local delivery partners to help you meet your business needs.
Our Cloud Migration insights forum helps you to learn how to simplify your cloud journey with AWS.
This document discusses how AWS supports enterprises in their cloud adoption journey. It covers how more than two-thirds of IT budgets are spent keeping existing systems running rather than innovation, and how the cloud can help address this. It then describes the various support services AWS Enterprise Support provides, including technical account managers and health dashboards. Next, it introduces the AWS Cloud Adoption Framework, a methodology for understanding how the cloud can transform operations. Finally, it discusses the AWS Partner Network and how partners can assist with solutions in areas like storage, as well as the AWS Marketplace for accessing third-party software.
Migrate Enterprise Applications Framework and Guiding Principles.pdfAmazon Web Services
This webinar will cover the framework to migrate enterprise applications to AWS. You will learn AWS Cloud Adoption Framework which provides you with practical guidance and comprehensive guidelines including roles, governance and efficiency for your cloud adoption journey. We will also discuss technical and non-technical aspects of successful application migrations leveraging best practices and real world examples.
This is a Level 200 webinar.
Speaker: Manav Prabhakar, Practice Manager, AWS Professional Services
Introduction to the Security Perspective of the Cloud Adoption Framework (CAF)Amazon Web Services
by Michael Wasielewski, CISSP, CCSP, AWS
The Security Perspective of the AWS Cloud Adoption Framework (CAF) provides a framework for maturation via a structured program that incorporates best practices and processes to define, build, and optimize how you operate security controls in the AWS platform. The Security perspective of the CAF provides a set of 5 core foundational theme 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. During this session, we address how to put the Security Perspective of the CAF into practice.
How Hess Has Continued to Optimize the AWS Cloud After Migrating - ENT218 - r...Amazon Web Services
Hess migrated over 550 instances to AWS and faced challenges around efficiency, management, and agility. To address these, they implemented cost optimization strategies like right-sizing instances, using reserved instances and spot instances, and matching workloads to appropriate storage classes. They also automated management tasks and built self-service provisioning tools. These optimizations have helped Hess reduce their AWS costs by over 30% while improving agility. Going forward, they aim to optimize further through containerization, serverless adoption, and ongoing governance.
The document outlines the agenda for the AWSome day Copenhagen 2017 event. It includes details of the event schedule with sessions on AWS foundations, infrastructure, databases, security, and management tools. There will also be technical and business tracks running in parallel sessions. The event will feature a keynote, presentations from AWS architects, and time for Q&A with AWS experts.
Here are the Keynote Slides presented by Adrian Hornsby, the Technical Evangelist for the Nordics & Baltics. Find out more about Amazon and how we have innovated over time.
How Amazon.com Uses AWS Management Tools - DEV340 - re:Invent 2017Amazon Web Services
Amazon.com enables all of its developers to be productive on AWS by operating across tens-of-thousands of team-owned AWS accounts, all while raising the bar on security, visibility and operational control. Amazon has been able to achieve these seemingly conflicting ideals by automating setup and management of these accounts at scale using AWS Management Tools such as CloudFormation, Config, CloudTrail, CloudWatch and EC2 Systems Manager. In this session, discover more about how Amazon.com built ASAP using AWS Management tools, and understand some of the decisions they made as their usage of AWS evolved over time. You will learn about the design, architecture and implementation that Amazon.com went through as part of this effort.
This document summarizes Amazon Web Services professional services and how they can help organizations adopt cloud technologies. It outlines AWS' engagement model which includes aligning stakeholders on goals, launching pilots to validate outcomes, scaling successful pilots, and continuously optimizing to create new value. The first step is to align stakeholders through workshops to define outcomes and critical next steps over 2 weeks to get agreement to move forward.
Similar to LFS307_Using AWS to Maximize Digital Marketing Reach and Efficiency (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.