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.
In this workshop, we explore features and functions of the AWS IoT service. We start out by covering the AWS ecosystem as it relates to IoT. Next, we cover the AWS IoT service in greater detail, review some best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore the AWS IoT service hands on with an IoT device and accompanying lab exercises. To get the most out of this workshop you need to have an AWS account created before the workshop begins. You should also bring a laptop so you can connect to the IoT device and perform the workshop lab exercises.
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.
SID302_Force Multiply Your Security Team with Automation and AlexaAmazon Web Services
Adversaries automate. Who says the good guys can't as well? By combining AWS offerings like AWS CloudTrail, Amazon Cloudwatch, AWS Config, and AWS Lambda with the power of Amazon Alexa, you can do more security tasks faster, with fewer resources. Force multiplying your security team is all about automation! Last year, we showed off penetration testing at the push of an (AWS IoT) button, and surprise-previewed how to ask Alexa to run Inspector as-needed. Want to see other ways to ask Alexa to be your cloud security sidekick? We have crazy new demos at the ready to show security geeks how to sling security automation solutions for their AWS environments (and impress and help your boss, too).
SRV314_Building a Serverless Pipeline to Transcode a Two-Hour Video in MinutesAmazon Web Services
Learn how Verizon’s Revvel team built a world-class video transcoding pipeline on AWS. This session shows how Revvel migrated from transcoding video on EC2 instances to a serverless pipeline using AWS Lambda and Amazon S3. You will gain insights on how they were able to achieve massive parallelization that gives Revvel the ability to transcode an entire movie or TV series into multiple device formats and bitrates within minutes, while never paying for idle resources. In addition, the Revvel team will cover best practices and lessons learned in creating a custom CI/CD pipeline for Lambda functions that allows them to test code quality during an upgrade to a Lambda function. Revvel is a team within Verizon, chartered with building and innovating video solutions. In November 2016, Verizon acquired Vessel to accelerate their efforts in building a next-generation television service, and Revvel was born.
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.
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money. In this workshop, you’ll help Interstella 8888 build a modern microservices-based logistics system to save the company from financial ruin.
We’ll give you the hands-on experience you need to run microservices in the real world. Ths includes implementing advanced container scheduling and scaling to deal with variable service requests, implementing a service mesh, issue tracing with Amazon X-Ray, container and instance-level logging with CloudWatch, and load testing.
AWS credits are provided. Bring your laptop, and have an active AWS account.
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.
"Catsndogs.lol is a (fictional) company that needs help deploying and scaling its container-based application. During this workshop, attendees will join the new DevOps team at CatsnDogs.lol, and help the company to manage their applications using Amazon EC2 Container Service (ECS), and help release new features to make our customers happier than ever.
Attendees will get hands-on with service and container-instance auto-scaling, spot-fleet integration, container placement strategies, service discovery, secrets management with AWS Systems Manager Parameter Store, time-based and event-based scheduling, and automated deployment pipelines.
If you are a developer interested in learning more about how Amazon ECS can accelerate your application development and deployment workflows, or if you are a systems administrator or devops person interested in understanding how Amazon ECS can simplify the operational model associated with running containers at scale, then this workshop is for you. You should have basic familiarity with ECS, EC2, and IAM.
The workshop requires:
A laptop (Windows, OSX, or Linux) with the AWSCLI or AWS Powershell installed
An AWS account with administrative permissions (including the ability to create IAM roles and policies) created at least 24 hours in advance."
In this workshop, we explore features and functions of the AWS IoT service. We start out by covering the AWS ecosystem as it relates to IoT. Next, we cover the AWS IoT service in greater detail, review some best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore the AWS IoT service hands on with an IoT device and accompanying lab exercises. To get the most out of this workshop you need to have an AWS account created before the workshop begins. You should also bring a laptop so you can connect to the IoT device and perform the workshop lab exercises.
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.
SID302_Force Multiply Your Security Team with Automation and AlexaAmazon Web Services
Adversaries automate. Who says the good guys can't as well? By combining AWS offerings like AWS CloudTrail, Amazon Cloudwatch, AWS Config, and AWS Lambda with the power of Amazon Alexa, you can do more security tasks faster, with fewer resources. Force multiplying your security team is all about automation! Last year, we showed off penetration testing at the push of an (AWS IoT) button, and surprise-previewed how to ask Alexa to run Inspector as-needed. Want to see other ways to ask Alexa to be your cloud security sidekick? We have crazy new demos at the ready to show security geeks how to sling security automation solutions for their AWS environments (and impress and help your boss, too).
SRV314_Building a Serverless Pipeline to Transcode a Two-Hour Video in MinutesAmazon Web Services
Learn how Verizon’s Revvel team built a world-class video transcoding pipeline on AWS. This session shows how Revvel migrated from transcoding video on EC2 instances to a serverless pipeline using AWS Lambda and Amazon S3. You will gain insights on how they were able to achieve massive parallelization that gives Revvel the ability to transcode an entire movie or TV series into multiple device formats and bitrates within minutes, while never paying for idle resources. In addition, the Revvel team will cover best practices and lessons learned in creating a custom CI/CD pipeline for Lambda functions that allows them to test code quality during an upgrade to a Lambda function. Revvel is a team within Verizon, chartered with building and innovating video solutions. In November 2016, Verizon acquired Vessel to accelerate their efforts in building a next-generation television service, and Revvel was born.
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.
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money. In this workshop, you’ll help Interstella 8888 build a modern microservices-based logistics system to save the company from financial ruin.
We’ll give you the hands-on experience you need to run microservices in the real world. Ths includes implementing advanced container scheduling and scaling to deal with variable service requests, implementing a service mesh, issue tracing with Amazon X-Ray, container and instance-level logging with CloudWatch, and load testing.
AWS credits are provided. Bring your laptop, and have an active AWS account.
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.
"Catsndogs.lol is a (fictional) company that needs help deploying and scaling its container-based application. During this workshop, attendees will join the new DevOps team at CatsnDogs.lol, and help the company to manage their applications using Amazon EC2 Container Service (ECS), and help release new features to make our customers happier than ever.
Attendees will get hands-on with service and container-instance auto-scaling, spot-fleet integration, container placement strategies, service discovery, secrets management with AWS Systems Manager Parameter Store, time-based and event-based scheduling, and automated deployment pipelines.
If you are a developer interested in learning more about how Amazon ECS can accelerate your application development and deployment workflows, or if you are a systems administrator or devops person interested in understanding how Amazon ECS can simplify the operational model associated with running containers at scale, then this workshop is for you. You should have basic familiarity with ECS, EC2, and IAM.
The workshop requires:
A laptop (Windows, OSX, or Linux) with the AWSCLI or AWS Powershell installed
An AWS account with administrative permissions (including the ability to create IAM roles and policies) created at least 24 hours in advance."
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.
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."
CON320_Monitoring, Logging and Debugging Containerized ServicesAmazon Web Services
As containers become more embedded in the platform tools, debug tools, traces and logs become increasingly important. Nare Hayrapetyan, Senior Software Engineer and Calvin French-Owen, Senior Technical Officer for Segment will discuss the principals of monitoring and debugging containers and the tools Segment has implemented and built for logging, alerting, metric collection, and debugging of containerized services running on Amazon ECS.
This document provides a summary of Amazon Web Services (AWS) storage solutions and customer use cases. It discusses AWS storage services like Amazon S3, EBS, EFS, Snowball, and Storage Gateway. It also highlights new storage features for data movement, security, management and analytics. Several case studies describe how customers are using AWS storage for backup/disaster recovery, media workflows, scientific computing, and other workloads.
Deep Dive: AWS Direct Connect and VPNs - NET403 - re:Invent 2017Amazon Web Services
As enterprises move to the cloud, robust connectivity is often an early consideration. AWS Direct Connect provides a more consistent network experience for accessing your AWS resources, typically with greater bandwidth and reduced network costs. This session dives deep into the features of AWS Direct Connect and VPNs. We discuss deployment architectures and the process from start to finish. We show you how to configure public and private virtual interfaces, configure routers, use VPN backup, and provide secure communication between sites by using the AWS VPN CloudHub.
In this workshop, attendees get hands-on experience using Kubernetes and Kops (Kubernetes Operations), as described in our recent blog. Attendees learn how to provision a cluster, assign role-based permissions and security, and launch a container. If you're interested in learning best practices for running Kubernetes on AWS, don’t miss this workshop.
We have a packed 2.5 hrs worth of self-guided hands-on tutorials to get you started with Kubernetes using AWS best practices. This workshop provides instructions to create, manage, and scale a Kubernetes cluster on AWS, as well as how to deploy applications, scale them, run stateless and stateful containers, perform service discovery between different microservices, and other similar concepts.
One of the prerequisites is to create an AWS Account beforehand so that you can get started quickly. We recommend to create an Account at least few days before reInvent.
Here is the info on creating and activating your AWS Account: https://aws.amazon.com/premiumsupport/knowledge-center/create-and-activate-aws-account/
Also, try launching an EC2 instance (t2.micro) and terminate it after you see successful launch. We will be handing out AWS credits after you complete the workshop and exit the room.
We are excited to see you at reInvent and are looking forward to diving deep into Kubernetes and its ecosystem of products on AWS.
"Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?
In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.
WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months."
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to get hands-on experience with Docker as you containerize Intersella 8888’s aging monolithic application and deploy it using Amazon ECS.
AWS credits are provided. Bring your laptop, and please have an active AWS account."
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.
CTD403_Supercharge Your Websites with the Power of Lambda@EdgeAmazon Web Services
Join us for a hands-on session on using Lambda@Edge and Amazon CloudFront to deliver high-performance and personalized experience to your Internet users across the globe. You will walk away with a working setup of combining Amazon S3, Amazon DynamoDB, and Amazon CloudFront with Lambda@Edge to build websites which are simultaneously hosted across AWS locations across the world. We will explore architecture, configuration, and dev-ops with real examples of how AWS customers are using Lambda@Edge for their websites.
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.
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.
DEV325_Application Deployment Techniques for Amazon EC2 Workloads with AWS Co...Amazon Web Services
We’ve seen companies like fast-growing startups and large enterprises adopt and evolve strategies to optimize their application deployment to Amazon EC2. Some AWS customers perform in-place updates across their servers. Some perform blue-green deployments to newly provisioned servers. In this session, we’ll share the advantages of each approach and talk about the scenarios in which you should choose one over the other. We will also demonstrate how to perform auto-scaling and auto-rollback for deployments.
This document summarizes a presentation given at AWS re:Invent 2017 about replacing tape backups with AWS. The presentation covered the costs and challenges of tape backups, options for backing up to AWS using AWS Storage Gateway or directly to S3/Glacier. It included a demo of replacing tape with Storage Gateway virtual tapes in 10 minutes. It also summarized how Southern Oregon University replaced their tape backups by using Storage Gateway to write backups to S3 and archive to Glacier, reducing infrastructure costs and management overhead.
NEW LAUNCH! Gain Operational Insights and Take Action on AWS Resources with A...Amazon Web Services
Learn how to gain visibility and control of your infrastructure on AWS. AWS Systems Manager provides a unified user interface so you can view operational data from multiple AWS services and allows you to automate operational tasks across your AWS resources. With Systems Manager, you can group resources, like Amazon EC2 instances, Amazon S3 buckets, or Amazon RDS instances, by application, view operational data for monitoring and troubleshooting, and take action on your groups of resources. Systems Manager simplifies resource and application management, shortens the time to detect and resolve operational problems, and makes it easy to operate and manage your infrastructure securely at scale.
NEW LAUNCH! Amazon EC2 Bare Metal Instances - CMP330 - re:Invent 2017Amazon Web Services
When Amazon EC2 launched in 2006 there was a single instance size: m1.small. Over the past eleven years EC2 has evolved to provide an extensive selection of compute resources to customers including specialized resources such as NVMe SSDs, GPUs, and FPGAs. Under the hood, the servers used to host EC2 instances have transformed from off the shelf designs running virtualization software on the host CPUs to purpose built servers with AWS network and storage components implemented in hardware. Now we are happy to announce a new category of EC2 instances: Amazon EC2 Bare Metal Instances. These instances provide customers access to the physical compute resources of the host processors along with the security, scale, and services of EC2. This session will provide an overview of Bare Metal instances, how VMware used EC2 Bare Metal instances to build VMware Cloud on AWS, and other customer use cases for this new EC2 capability.
Podcasting on AWS – A Discussion on Everything from Production to Distributio...Amazon Web Services
Reaching a large podcast audience can present some significant infrastructure scaling challenges. In this session, startup company Whooshkaa walks you through the podcasting landscape. During this session, you will learn about the new audiences you can reach through podcasts. We will explore technical solutions such as Amazon Lightsail, S3 and CloudFront which can facilitate experimentation and help you reach a global audience at low cost. We will dive into Whooshkaa’s podcasting platform and explore advanced architectures, leveraging AWS services, allowing you to curate and customize content for each listener. We will also explore tools and solutions for measuring engagement and connecting with your audience through podcasting.
This document summarizes a presentation given at AWS re:Invent 2017 about Cisco's journey from monolithic architecture to microservices. The presentation discusses Cisco's migration of thousands of services to microservices running across over 100 instances. It describes the four pillars of Cisco's approach: automation, cloud services, microservices, and continuous delivery pipelines. Specific microservices patterns for data management are also summarized, including patterns for shared static data, shared mutable data, and distributed transactions.
Motion detection triggers have reduced the amount of video recorded by modern devices. But maybe you want to reduce that further—maybe you only care if a car or a person is on-camera before recording or sending a notification. Security cameras and smart doorbells can use Amazon Rekognition to reduce the number of false alarms. Learn how device makers and home enthusiasts are building their own smart layers of person and car detection to reduce false alarms and limit video volume. Learn too how you can use face detection and recognition to notify you when a friend has arrived.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
AWS Lambda enables you to run code without provisioning or managing servers in one AWS Region. Today, Lambda@Edge provides the same benefits closer to your end users, enabling you to assemble and deliver content on-demand to create low-latency web experiences. Come and join us for examples of how customers can move significant workloads they previously managed server fleets into Lambda for truly serverless website backends.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
The document discusses building serverless websites using AWS Lambda@Edge. It provides an overview of Lambda@Edge and how it can be used with Amazon CloudFront to customize content delivery and generate responses at the edge. Specific examples covered include customizing content based on device type or location, A/B testing using origin selection, redirecting unauthenticated users, and aggregating content from multiple sources to generate personalized responses. The document argues that many features that currently require backend servers, such as authentication, personalization, and dynamic content, could potentially be moved to the edge using Lambda@Edge.
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.
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."
CON320_Monitoring, Logging and Debugging Containerized ServicesAmazon Web Services
As containers become more embedded in the platform tools, debug tools, traces and logs become increasingly important. Nare Hayrapetyan, Senior Software Engineer and Calvin French-Owen, Senior Technical Officer for Segment will discuss the principals of monitoring and debugging containers and the tools Segment has implemented and built for logging, alerting, metric collection, and debugging of containerized services running on Amazon ECS.
This document provides a summary of Amazon Web Services (AWS) storage solutions and customer use cases. It discusses AWS storage services like Amazon S3, EBS, EFS, Snowball, and Storage Gateway. It also highlights new storage features for data movement, security, management and analytics. Several case studies describe how customers are using AWS storage for backup/disaster recovery, media workflows, scientific computing, and other workloads.
Deep Dive: AWS Direct Connect and VPNs - NET403 - re:Invent 2017Amazon Web Services
As enterprises move to the cloud, robust connectivity is often an early consideration. AWS Direct Connect provides a more consistent network experience for accessing your AWS resources, typically with greater bandwidth and reduced network costs. This session dives deep into the features of AWS Direct Connect and VPNs. We discuss deployment architectures and the process from start to finish. We show you how to configure public and private virtual interfaces, configure routers, use VPN backup, and provide secure communication between sites by using the AWS VPN CloudHub.
In this workshop, attendees get hands-on experience using Kubernetes and Kops (Kubernetes Operations), as described in our recent blog. Attendees learn how to provision a cluster, assign role-based permissions and security, and launch a container. If you're interested in learning best practices for running Kubernetes on AWS, don’t miss this workshop.
We have a packed 2.5 hrs worth of self-guided hands-on tutorials to get you started with Kubernetes using AWS best practices. This workshop provides instructions to create, manage, and scale a Kubernetes cluster on AWS, as well as how to deploy applications, scale them, run stateless and stateful containers, perform service discovery between different microservices, and other similar concepts.
One of the prerequisites is to create an AWS Account beforehand so that you can get started quickly. We recommend to create an Account at least few days before reInvent.
Here is the info on creating and activating your AWS Account: https://aws.amazon.com/premiumsupport/knowledge-center/create-and-activate-aws-account/
Also, try launching an EC2 instance (t2.micro) and terminate it after you see successful launch. We will be handing out AWS credits after you complete the workshop and exit the room.
We are excited to see you at reInvent and are looking forward to diving deep into Kubernetes and its ecosystem of products on AWS.
"Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?
In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.
WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months."
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to get hands-on experience with Docker as you containerize Intersella 8888’s aging monolithic application and deploy it using Amazon ECS.
AWS credits are provided. Bring your laptop, and please have an active AWS account."
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.
CTD403_Supercharge Your Websites with the Power of Lambda@EdgeAmazon Web Services
Join us for a hands-on session on using Lambda@Edge and Amazon CloudFront to deliver high-performance and personalized experience to your Internet users across the globe. You will walk away with a working setup of combining Amazon S3, Amazon DynamoDB, and Amazon CloudFront with Lambda@Edge to build websites which are simultaneously hosted across AWS locations across the world. We will explore architecture, configuration, and dev-ops with real examples of how AWS customers are using Lambda@Edge for their websites.
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.
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.
DEV325_Application Deployment Techniques for Amazon EC2 Workloads with AWS Co...Amazon Web Services
We’ve seen companies like fast-growing startups and large enterprises adopt and evolve strategies to optimize their application deployment to Amazon EC2. Some AWS customers perform in-place updates across their servers. Some perform blue-green deployments to newly provisioned servers. In this session, we’ll share the advantages of each approach and talk about the scenarios in which you should choose one over the other. We will also demonstrate how to perform auto-scaling and auto-rollback for deployments.
This document summarizes a presentation given at AWS re:Invent 2017 about replacing tape backups with AWS. The presentation covered the costs and challenges of tape backups, options for backing up to AWS using AWS Storage Gateway or directly to S3/Glacier. It included a demo of replacing tape with Storage Gateway virtual tapes in 10 minutes. It also summarized how Southern Oregon University replaced their tape backups by using Storage Gateway to write backups to S3 and archive to Glacier, reducing infrastructure costs and management overhead.
NEW LAUNCH! Gain Operational Insights and Take Action on AWS Resources with A...Amazon Web Services
Learn how to gain visibility and control of your infrastructure on AWS. AWS Systems Manager provides a unified user interface so you can view operational data from multiple AWS services and allows you to automate operational tasks across your AWS resources. With Systems Manager, you can group resources, like Amazon EC2 instances, Amazon S3 buckets, or Amazon RDS instances, by application, view operational data for monitoring and troubleshooting, and take action on your groups of resources. Systems Manager simplifies resource and application management, shortens the time to detect and resolve operational problems, and makes it easy to operate and manage your infrastructure securely at scale.
NEW LAUNCH! Amazon EC2 Bare Metal Instances - CMP330 - re:Invent 2017Amazon Web Services
When Amazon EC2 launched in 2006 there was a single instance size: m1.small. Over the past eleven years EC2 has evolved to provide an extensive selection of compute resources to customers including specialized resources such as NVMe SSDs, GPUs, and FPGAs. Under the hood, the servers used to host EC2 instances have transformed from off the shelf designs running virtualization software on the host CPUs to purpose built servers with AWS network and storage components implemented in hardware. Now we are happy to announce a new category of EC2 instances: Amazon EC2 Bare Metal Instances. These instances provide customers access to the physical compute resources of the host processors along with the security, scale, and services of EC2. This session will provide an overview of Bare Metal instances, how VMware used EC2 Bare Metal instances to build VMware Cloud on AWS, and other customer use cases for this new EC2 capability.
Podcasting on AWS – A Discussion on Everything from Production to Distributio...Amazon Web Services
Reaching a large podcast audience can present some significant infrastructure scaling challenges. In this session, startup company Whooshkaa walks you through the podcasting landscape. During this session, you will learn about the new audiences you can reach through podcasts. We will explore technical solutions such as Amazon Lightsail, S3 and CloudFront which can facilitate experimentation and help you reach a global audience at low cost. We will dive into Whooshkaa’s podcasting platform and explore advanced architectures, leveraging AWS services, allowing you to curate and customize content for each listener. We will also explore tools and solutions for measuring engagement and connecting with your audience through podcasting.
This document summarizes a presentation given at AWS re:Invent 2017 about Cisco's journey from monolithic architecture to microservices. The presentation discusses Cisco's migration of thousands of services to microservices running across over 100 instances. It describes the four pillars of Cisco's approach: automation, cloud services, microservices, and continuous delivery pipelines. Specific microservices patterns for data management are also summarized, including patterns for shared static data, shared mutable data, and distributed transactions.
Motion detection triggers have reduced the amount of video recorded by modern devices. But maybe you want to reduce that further—maybe you only care if a car or a person is on-camera before recording or sending a notification. Security cameras and smart doorbells can use Amazon Rekognition to reduce the number of false alarms. Learn how device makers and home enthusiasts are building their own smart layers of person and car detection to reduce false alarms and limit video volume. Learn too how you can use face detection and recognition to notify you when a friend has arrived.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
AWS Lambda enables you to run code without provisioning or managing servers in one AWS Region. Today, Lambda@Edge provides the same benefits closer to your end users, enabling you to assemble and deliver content on-demand to create low-latency web experiences. Come and join us for examples of how customers can move significant workloads they previously managed server fleets into Lambda for truly serverless website backends.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
The document discusses building serverless websites using AWS Lambda@Edge. It provides an overview of Lambda@Edge and how it can be used with Amazon CloudFront to customize content delivery and generate responses at the edge. Specific examples covered include customizing content based on device type or location, A/B testing using origin selection, redirecting unauthenticated users, and aggregating content from multiple sources to generate personalized responses. The document argues that many features that currently require backend servers, such as authentication, personalization, and dynamic content, could potentially be moved to the edge using Lambda@Edge.
AWS X-Ray: Debugging Applications at Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to reduce time to resolution for errors and performance bottlenecks from days/hours to minutes
- Learn how to detect latency distribution and pinpoint issues to specific service(s)
- Learn how to quantify customer impact
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
This document provides an overview of a workshop on using Amazon Rekognition to build a facial recognition system. It describes the services that will be used, including Amazon Rekognition, Amazon EC2, Amazon Kinesis Data Firehose, AWS Lambda, Amazon DynamoDB, and Amazon S3. It outlines a scenario where these services will be used to build an application to find missing persons by scanning social media images with Amazon Rekognition facial recognition. The workshop will provide steps to set up a Twitter application, launch an AWS CloudFormation stack, and validate and start the application.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
This document provides an overview of a workshop on using Amazon Rekognition to build a facial recognition system. It describes the services that will be used, including Amazon Rekognition, Amazon EC2, Amazon Kinesis Data Firehose, AWS Lambda, Amazon DynamoDB, and Amazon S3. It outlines a scenario where these services will be used to build an application to find missing persons by scanning social media images with Amazon Rekognition facial recognition. The workshop will provide steps to set up a Twitter application, launch an AWS CloudFormation stack, and validate and start the application.
Case Study: The internals of Amazon.com's architecture that allows it to secu...Amazon Web Services
Learn how Amazon.com continuously improves the availability and performance of its website with AWS. Gavin Jewell, Director of Amazon's Consumer Cloud Enablement group, will go in depth on how Amazon CloudFront helps them accelerate their website globally, and how it gives flexibility to apply various security measures at the edge. He will also explain how they are using services such as AWS Shield, AWS WAF, and Route 53. Lastly, we will explore Amazon.com’s continuous and incremental re-architecture program that ensures their infrastructure is constantly updated to use AWS natively.
Scale Website dan Mobile Applications Anda di AWS hingga 10 juta penggunaAmazon Web Services
Dengan cloud computing, Anda akan mendapatkan sejumlah keuntungan, seperti kemampuan untuk scale web application atau website secara on-demand. Jika Anda sedang membangun web application dan ingin mulai menggunakan cloud computing, mungkin terlintas di benak Anda, “Mulai dari mana?” Mari bergabung bersama kami dalam sesi ini untuk memahami praktik terbaik untuk scaling infrastruktur Anda, mulai dari nol hingga jutaan pengguna. Kami akan tunjukkan cara terbaik untuk membangun bisnis Anda dengan layanan AWS, membantu memutuskan pilihan yang lebih cerdas, dan bagaimana scaling infrastruktur Anda di cloud.
Learn how to build serverless applications using the AWS Serverless Platform-...Amazon Web Services
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server?
In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
We will cover:
- Learn the basics of AWS Lambda and Amazon API Gateway
- Understand how to build a web application using these AWS services
- Learn to architect a serverless application
- Gain an overview of frameworks for building serverless applications
This webinar is a Level 100 session and is suited for:
- Developers
- Solution architects and engineers
- Technical managers
Speakers:
Stephen Liedig, Public Sector Solution Architect, Amazon Web Services
Q&A:
Ed Lima, Solutions Architect, Amazon Web Services
Become a Serverless Black Belt: Optimizing Your Serverless Applications - SRV...Amazon Web Services
Are you an experienced serverless developer who wants a handy guide to unleash the full power of serverless architectures for your production workloads? Do you have questions about whether to choose a stream or an API as your event source, or whether to have one function or many? In this talk, we discuss architectural best practices, optimizations, and handy little cheat codes to build secure, high-scale, high-performance serverless applications, using real customer scenarios to illustrate the benefits.
This document provides an overview of Amazon Lightsail, a platform for deploying and managing virtual private servers. It highlights key Lightsail features like easy instance provisioning, predictable pricing, global availability, and integration with other AWS services. The document also demonstrates how to launch an instance, access it via SSH, take snapshots, and programmatically control Lightsail using the AWS API. It discusses when Lightsail is suitable compared to other AWS services and how applications can grow on Lightsail.
Journey Towards Scaling Your API to 10 Million UsersAdrian Hornsby
The slides from my talk at the NordicAPI summit 2017:
https://nordicapis.com/sessions/journey-towards-scaling-application-10-million-users/
A collection of thoughts and ideas that I experienced during my 10 years working with AWS Cloud.
The document discusses React Native and GraphQL. It introduces React Native as a way to build native mobile apps using React and JavaScript. GraphQL is presented as an alternative to REST and OData for mobile backends by allowing clients to specify the data structure needed and supporting relationships between data. The document demonstrates GraphQL queries using an online IDE and AWS AppSync as an option for building GraphQL backends with features like subscriptions and offline support.
AWS offers customers multiple solutions for federating identities on the AWS Cloud. In this session, we will embark on a tour of these solutions and the use cases they support. Along the way, we will dive deep with demonstrations and best practices to help you be successful managing identities on the AWS Cloud. We will cover how and when to use Security Assertion Markup Language 2.0 (SAML), OpenID Connect (OIDC), and other AWS native federation mechanisms. You will learn how these solutions enable federated access to the AWS Management Console, APIs, and CLI, AWS Infrastructure and Managed Services, your web and mobile applications running on the AWS Cloud, and much more.
Reactive Architectures with MicroservicesAWS Germany
The document discusses reactive architectures with microservices. It defines reactive architecture as being asynchronous, non-blocking, loosely coupled, and push-based. It recommends building reactive systems on AWS using services like ECS, Lambda, Kinesis, ElastiCache and DynamoDB. The application architecture described uses Vert.x and microservices like HTTP, caching and Redis Verticles. Global rollout is discussed, noting the options of a master region or distributed processing across regions using CloudFormation for infrastructure as code.
Technological Accelerants for Organizational Transformation - DVC303 - re:Inv...Amazon Web Services
Developers and management can seem at cross purposes when one group looks at technologies and the other looks at organizational issues. Both groups are looking for ways to deliver value faster, leaner, and at less cost. There are technological avenues for accomplishing these goals, including DevOps and serverless architectures. However, these approaches also have organizational implications, as they change the nature and content of communication between teams. In this session, we cover the technology benefits and organizational transformations involved in DevOps and serverless architectures.
This session is part of the re:Invent Developer Community Day, six community-led sessions where AWS enthusiasts share technical insights on trending topics based on first-hand experiences and knowledge shared within local AWS communities.
DVC303-Technological Accelerants for Organizational TransformationAmazon Web Services
The document discusses technological accelerants for organizational transformation, including serverless computing and DevOps practices. It provides examples from companies that have adopted DevOps and serverless architectures to break down silos between teams, make work visible through dashboards, identify process bottlenecks, and fix problems early. iRobot is discussed as a case study of a company that transformed to a serverless production cloud and analytics platform. While the cloud and serverless architectures provide benefits, they also present new challenges around visibility, unexpected problems due to increased scale, and ensuring organizational structure changes to align with new technical architectures.
I Want to Analyze and Visualize Website Access Logs, but Why Do I Need Server...Amazon Web Services
Nowadays, it’s common for a web server to be fronted by a global content delivery service, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. Website administrators and developers want to generate insights in order to improve website availability through bot detection and mitigation, by optimizing web content based on the devices and browser used, by reducing perceived latency by caching a popular object closer to its viewer, and so on. In this session, we dive deep into building an end-to-end serverless analytics solution to analyze Amazon CloudFront access logs, both at rest and in transit, using Amazon Athena and Amazon Kinesis Analytics, respectively, and we generate visualization insights using Amazon QuickSight. Join a discussion with AWS solution architects to learn more about the various ways to generate insights to improve the overall perceived experience for your website users.
AWS offers customers multiple solutions for federating identities on the AWS Cloud. In this session, we will embark on a tour of these solutions and the use cases they support. Along the way, we will dive deep with demonstrations and best practices to help you be successful managing identies on the AWS Cloud. We will cover how and when to use Security Assertion Markup Language 2.0 (SAML), OpenID Connect (OIDC), and other AWS native federation mechanisms. You will learn how these solutions enable federated access to the AWS Management Console, APIs, and CLI, AWS Infrastructure and Managed Services, your web and mobile applications running on the AWS Cloud, and much more.
The document provides information about serverless computing on AWS Lambda. It discusses that serverless applications have no servers to provision or manage, scale automatically based on usage, and have built-in availability and fault tolerance. Various AWS services that can be used as event sources or functions for serverless applications are listed. Common use cases for serverless include web applications, data processing, chatbots, backends, and IT automation.
Similar to SRV312_Taking Serverless to the Edge (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.