Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
MBL209_Learn How MicroStrategy on AWS is Helping Vivint Solar Deliver Clean E...Amazon Web Services
"Vivint Solar is a leading full-service residential solar provider in the United States with more than 100,000 solar systems to its credit. Vivint Solar uses MicroStrategy on AWS to keep track of internal processes, including operations, finance, customer support, and human resources. With MicroStrategy on AWS, Vivint Solar could deploy a fully configured MicroStrategy environment in just an hour, giving their IT team more time to focus on other high-value projects. Today, Vivint Solar uses over 25 different AWS tools and services including, AWS Lambda, AWS Step Functions, Amazon SQS, AWS CloudFormation, and AWS CodeDeploy to track and analyze their data. Join us in this session to learn how Vivint Solar is using analytics to transform the way they do business and revolutionize the way people think about renewable energy.
Session sponsored by MicroStrategy"
This document summarizes Amit Patel's presentation on the state of mobile development and AWS services for building mobile apps. Patel discussed trends like increasing time spent in mobile apps and more enterprise apps being built with web technologies. He then outlined three simple steps for building cloud-enabled mobile apps using AWS Mobile Hub, native SDKs, and the AWS Mobile CLI. Patel demonstrated how the CLI can be used to set up cloud services like user sign-in and highlighted the AWS Amplify library for connecting apps. He also discussed testing web apps and using the Mobile Hub console. In closing, Patel previewed the new AWS AppSync service for building powerful data-driven apps.
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.
STG309_Deep Dive Using Hybrid Storage with AWS Storage Gateway to Solve On-Pr...Amazon Web Services
Enterprises of all sizes face continuing data growth and persistent requirements to back up and recover application data. The pains of recurring storage hardware purchasing, management, and failures are still acute for many IT organizations. Some also need to integrate on-premises datasets with in-cloud workloads, such as big data processing and analytics. Learn how to use AWS Storage Gateway to connect on-premises applications to AWS storage services using standard storage protocols, such as NFS, iSCSI, and VTL. Storage Gateway enables hybrid cloud storage solutions for backup and disaster recovery, file sharing, in-cloud processing, or bulk ingest for migration. We discuss use cases with real-life customer stories, and offer best practices.
CMP319_Easily Coordinate Microservices, Build Serverless Apps, and Automate T...Amazon Web Services
Do you have daily, weekly, or monthly tasks that you would like to automate? Looking to link two or more AWS Lambda functions in long-running processes? Are you building applications using microservices or containers? AWS Step Functions makes it easy to coordinate the components of distributed applications using visual workflows. In this session, we will share how AWS customers like Yelp are using Step Functions to reliably build and scale multi-step applications such as order processing, report generation, and data transformation. You will learn how to reduce the time to deploy and change microservices and serverless applications, and automate IT infrastructure for improved resilience and security.
GPSWKS406-Migrating a Microsoft ASP.NET Application to AWSAmazon Web Services
In this workshop, we explore the AWS methodology for migrating Microsoft applications to AWS. We walk through the concerns and considerations to take into account while planning a migration. Learn how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. This session uses a case study format to dive deep into the details of how to successfully plan a Microsoft application migration.
DEV326_DevOps Essentials An Introductory Workshop on CICD PracticesAmazon Web Services
In a few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market new product capabilities. In this workshop, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration/continuous delivery (CI/CD) using AWS developer tools and third-party solutions. The tools include source control systems including GitHub and AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, to name a few.
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.
MBL209_Learn How MicroStrategy on AWS is Helping Vivint Solar Deliver Clean E...Amazon Web Services
"Vivint Solar is a leading full-service residential solar provider in the United States with more than 100,000 solar systems to its credit. Vivint Solar uses MicroStrategy on AWS to keep track of internal processes, including operations, finance, customer support, and human resources. With MicroStrategy on AWS, Vivint Solar could deploy a fully configured MicroStrategy environment in just an hour, giving their IT team more time to focus on other high-value projects. Today, Vivint Solar uses over 25 different AWS tools and services including, AWS Lambda, AWS Step Functions, Amazon SQS, AWS CloudFormation, and AWS CodeDeploy to track and analyze their data. Join us in this session to learn how Vivint Solar is using analytics to transform the way they do business and revolutionize the way people think about renewable energy.
Session sponsored by MicroStrategy"
This document summarizes Amit Patel's presentation on the state of mobile development and AWS services for building mobile apps. Patel discussed trends like increasing time spent in mobile apps and more enterprise apps being built with web technologies. He then outlined three simple steps for building cloud-enabled mobile apps using AWS Mobile Hub, native SDKs, and the AWS Mobile CLI. Patel demonstrated how the CLI can be used to set up cloud services like user sign-in and highlighted the AWS Amplify library for connecting apps. He also discussed testing web apps and using the Mobile Hub console. In closing, Patel previewed the new AWS AppSync service for building powerful data-driven apps.
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.
STG309_Deep Dive Using Hybrid Storage with AWS Storage Gateway to Solve On-Pr...Amazon Web Services
Enterprises of all sizes face continuing data growth and persistent requirements to back up and recover application data. The pains of recurring storage hardware purchasing, management, and failures are still acute for many IT organizations. Some also need to integrate on-premises datasets with in-cloud workloads, such as big data processing and analytics. Learn how to use AWS Storage Gateway to connect on-premises applications to AWS storage services using standard storage protocols, such as NFS, iSCSI, and VTL. Storage Gateway enables hybrid cloud storage solutions for backup and disaster recovery, file sharing, in-cloud processing, or bulk ingest for migration. We discuss use cases with real-life customer stories, and offer best practices.
CMP319_Easily Coordinate Microservices, Build Serverless Apps, and Automate T...Amazon Web Services
Do you have daily, weekly, or monthly tasks that you would like to automate? Looking to link two or more AWS Lambda functions in long-running processes? Are you building applications using microservices or containers? AWS Step Functions makes it easy to coordinate the components of distributed applications using visual workflows. In this session, we will share how AWS customers like Yelp are using Step Functions to reliably build and scale multi-step applications such as order processing, report generation, and data transformation. You will learn how to reduce the time to deploy and change microservices and serverless applications, and automate IT infrastructure for improved resilience and security.
GPSWKS406-Migrating a Microsoft ASP.NET Application to AWSAmazon Web Services
In this workshop, we explore the AWS methodology for migrating Microsoft applications to AWS. We walk through the concerns and considerations to take into account while planning a migration. Learn how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. This session uses a case study format to dive deep into the details of how to successfully plan a Microsoft application migration.
DEV326_DevOps Essentials An Introductory Workshop on CICD PracticesAmazon Web Services
In a few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market new product capabilities. In this workshop, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration/continuous delivery (CI/CD) using AWS developer tools and third-party solutions. The tools include source control systems including GitHub and AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, to name a few.
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.
STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Clouder...Amazon Web Services
Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.
Interested in new ways to extend and deploy Ruby applications on AWS? There are a number of tools and services to help streamline your application management and deployments in AWS. In this session we will take an example Ruby application and demonstrate how you can deploy and extend it using AWS tools.
CTD201_Introduction to Amazon CloudFront and AWS Lambda@EdgeAmazon Web Services
End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features and examples of how customers are using CloudFront. You will also learn about recustomizing content delivery through AWS Lambda@Edge - a serverless compute service that lets you execute functions to customize the content delivered through CloudFront.
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.
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.
Progressive Web Apps (PWAs) are the future of distributable mobile apps. Learn what they are, what tools you need, and how to build a mobile PWA. Then follow along and build your own mobile PWA. Understand what AWS offers for mobile app developers, and learn how to build a PWA and distribute it through AWS Mobile Hub.
Mobile app development toolchains leveraging JavaScript, such as Ionic and React Native, are growing in popularity more each day. The pace of business makes it difficult to hire multiple engineers for different platforms and duplicate efforts. In this session you’ll see hands on how you can build beautiful user applications using Ionic and React Native without spending months learning how your backend architecture should be designed. Using the newly released AWS Mobile CLI and build tooling you’ll understand how your mobile developers can with a set of simple commands interface with Serverless AWS infrastructure and add in features such as User Sign-In and Sign-Up with Amazon Cognito, Serverless infrastructures using Amazon API Gateway, AWS Lambda and Amazon DynamoDB, and comprehensive analytics through Amazon Pinpoint.
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.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
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.
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.
DEV328_DevOps Lessons from Courser a Site Performance, Reliability, and Devel...Amazon Web Services
"As Coursera has grown, both in traffic and engineering team size, we've put much more emphasis on site performance, reliability, and developer productivity. Solving these problems is more complicated than just scaling up the number of EC2 instances though -- they've required rethinking approaches from the ground up and using better tools for the job.
In this session, Coursera's frontend infrastructure team will walk you through how we leveraged AWS services, including ECS, CodeBuild, and ALBs, to improve site performance by 30% and reduce build times by 80%, all while cutting costs in the process."
DEV305_Manage Your Applications with AWS Elastic Beanstalk.pdfAmazon Web Services
DEV305 Devops Breakout Session AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS Cloud. Through interactive demos and code samples, this session will teach you how to deploy your code using Elastic Beanstalk, provision and use other AWS services (Amazon SNS, Amazon SQS, and Amazon DynamoDB, AWS CodeCommit) use your application’s health metrics to tune performance, scale your application to handle millions of requests, perform zero-downtime deployments with traffic routing, and keep the underlying application platform up-to-date with managed updates. AWS re:Invent 2017, Amazon, Devops, DEV305, DynamoDB, AWS CodeCommit, AWS Elastic Beanstalk, reinvent2017,reinvent2017
"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."
MCL308_Using a Digital Assistant in the Enterprise for Business ProductivityAmazon Web Services
Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees. In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.
In this session, we seek to address the many real-life conditions that lead to different VPC design scenarios. We break down the reasons why customers choose to deploy a single VPC as opposed to a multi-VPC approach. We also explore the architectures that lead to customers deploying advanced VPC designs, such as shared services VPCs or multi-region transit VPCs. The session explores in detail the tools you need to support these architectures, such as AWS Direct Connect, VPC peering, VPN, AWS Identity and Access Management (IAM), and resource tagging.
Dive deep into storage solutions for enterprise applications, debunk performance and availability perceptions, and learn about anti-patterns. Focusing on consulting and technology partner use cases, this session incorporates live demonstrations, including APN Competency Partner solutions. Attendees learn about reference architectures for enterprise storage solutions and how to incorporate components into new solutions for enterprise workloads.
AWS CloudFormation provides many features to automate the provisioning of infrastructure for all types of complex applications. In this workshop, you will learn how to build AWS CloudFormation templates using proven methods and best practices. You will also deploy a fully functional data lake architecture, which uses AWS services like Amazon RDS and open source components like Apache Zeppelin. The labs will demonstrate the capabilities of AWS CloudFormation to stand up infrastructure in a modular way, walk through the deployment of a complex end-to-end application, and validate that all components of the application are working.
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
ARC311_Serverless Encoding at Scale with Content Moderation via Deep Learning...Amazon Web Services
With more companies entering the OTT market, AWS sees customer demand for ways to decrease the time it takes to get content into their users’ hands, while increasing operational efficiency and lowering IT infrastructure costs. Using deep learning-based image analysis can provide users actionable feedback about the content they view. When combining a new serverless architecture approach using Amazon Elastic Transcoder with AWS’ deep learning technology Amazon Rekognition, companies can provide near real-time, on-demand encoding of assets and content moderation. This session covers serverless versus virtualized infrastructure, handling encoding jobs with AWS Lambda, encoding dynamic media assets with Elastic Transcoder (or Elemental), moderating content with Amazon Rekognition, and storing metadata with Amazon DynamoDB. We also provide a demo to test a production-ready serverless encoding architecture.
The document discusses strategies for scaling an application from 1 user to over 100,000 users on AWS. It begins with simple architectures using EC2 instances and databases and progresses to more scalable options like load balancers, auto scaling, caching, and serverless technologies. It emphasizes starting with SQL databases and managing users with Cognito before considering NoSQL. The document provides guidance on services like S3, CloudFront, ElastiCache, DynamoDB and auto scaling groups to optimize performance and costs at larger scales.
STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Clouder...Amazon Web Services
Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.
Interested in new ways to extend and deploy Ruby applications on AWS? There are a number of tools and services to help streamline your application management and deployments in AWS. In this session we will take an example Ruby application and demonstrate how you can deploy and extend it using AWS tools.
CTD201_Introduction to Amazon CloudFront and AWS Lambda@EdgeAmazon Web Services
End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features and examples of how customers are using CloudFront. You will also learn about recustomizing content delivery through AWS Lambda@Edge - a serverless compute service that lets you execute functions to customize the content delivered through CloudFront.
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.
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.
Progressive Web Apps (PWAs) are the future of distributable mobile apps. Learn what they are, what tools you need, and how to build a mobile PWA. Then follow along and build your own mobile PWA. Understand what AWS offers for mobile app developers, and learn how to build a PWA and distribute it through AWS Mobile Hub.
Mobile app development toolchains leveraging JavaScript, such as Ionic and React Native, are growing in popularity more each day. The pace of business makes it difficult to hire multiple engineers for different platforms and duplicate efforts. In this session you’ll see hands on how you can build beautiful user applications using Ionic and React Native without spending months learning how your backend architecture should be designed. Using the newly released AWS Mobile CLI and build tooling you’ll understand how your mobile developers can with a set of simple commands interface with Serverless AWS infrastructure and add in features such as User Sign-In and Sign-Up with Amazon Cognito, Serverless infrastructures using Amazon API Gateway, AWS Lambda and Amazon DynamoDB, and comprehensive analytics through Amazon Pinpoint.
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.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
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.
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.
DEV328_DevOps Lessons from Courser a Site Performance, Reliability, and Devel...Amazon Web Services
"As Coursera has grown, both in traffic and engineering team size, we've put much more emphasis on site performance, reliability, and developer productivity. Solving these problems is more complicated than just scaling up the number of EC2 instances though -- they've required rethinking approaches from the ground up and using better tools for the job.
In this session, Coursera's frontend infrastructure team will walk you through how we leveraged AWS services, including ECS, CodeBuild, and ALBs, to improve site performance by 30% and reduce build times by 80%, all while cutting costs in the process."
DEV305_Manage Your Applications with AWS Elastic Beanstalk.pdfAmazon Web Services
DEV305 Devops Breakout Session AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS Cloud. Through interactive demos and code samples, this session will teach you how to deploy your code using Elastic Beanstalk, provision and use other AWS services (Amazon SNS, Amazon SQS, and Amazon DynamoDB, AWS CodeCommit) use your application’s health metrics to tune performance, scale your application to handle millions of requests, perform zero-downtime deployments with traffic routing, and keep the underlying application platform up-to-date with managed updates. AWS re:Invent 2017, Amazon, Devops, DEV305, DynamoDB, AWS CodeCommit, AWS Elastic Beanstalk, reinvent2017,reinvent2017
"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."
MCL308_Using a Digital Assistant in the Enterprise for Business ProductivityAmazon Web Services
Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees. In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.
In this session, we seek to address the many real-life conditions that lead to different VPC design scenarios. We break down the reasons why customers choose to deploy a single VPC as opposed to a multi-VPC approach. We also explore the architectures that lead to customers deploying advanced VPC designs, such as shared services VPCs or multi-region transit VPCs. The session explores in detail the tools you need to support these architectures, such as AWS Direct Connect, VPC peering, VPN, AWS Identity and Access Management (IAM), and resource tagging.
Dive deep into storage solutions for enterprise applications, debunk performance and availability perceptions, and learn about anti-patterns. Focusing on consulting and technology partner use cases, this session incorporates live demonstrations, including APN Competency Partner solutions. Attendees learn about reference architectures for enterprise storage solutions and how to incorporate components into new solutions for enterprise workloads.
AWS CloudFormation provides many features to automate the provisioning of infrastructure for all types of complex applications. In this workshop, you will learn how to build AWS CloudFormation templates using proven methods and best practices. You will also deploy a fully functional data lake architecture, which uses AWS services like Amazon RDS and open source components like Apache Zeppelin. The labs will demonstrate the capabilities of AWS CloudFormation to stand up infrastructure in a modular way, walk through the deployment of a complex end-to-end application, and validate that all components of the application are working.
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
ARC311_Serverless Encoding at Scale with Content Moderation via Deep Learning...Amazon Web Services
With more companies entering the OTT market, AWS sees customer demand for ways to decrease the time it takes to get content into their users’ hands, while increasing operational efficiency and lowering IT infrastructure costs. Using deep learning-based image analysis can provide users actionable feedback about the content they view. When combining a new serverless architecture approach using Amazon Elastic Transcoder with AWS’ deep learning technology Amazon Rekognition, companies can provide near real-time, on-demand encoding of assets and content moderation. This session covers serverless versus virtualized infrastructure, handling encoding jobs with AWS Lambda, encoding dynamic media assets with Elastic Transcoder (or Elemental), moderating content with Amazon Rekognition, and storing metadata with Amazon DynamoDB. We also provide a demo to test a production-ready serverless encoding architecture.
The document discusses strategies for scaling an application from 1 user to over 100,000 users on AWS. It begins with simple architectures using EC2 instances and databases and progresses to more scalable options like load balancers, auto scaling, caching, and serverless technologies. It emphasizes starting with SQL databases and managing users with Cognito before considering NoSQL. The document provides guidance on services like S3, CloudFront, ElastiCache, DynamoDB and auto scaling groups to optimize performance and costs at larger scales.
Build a Website & Mobile App for your first 10 million usersAmazon Web Services
Understand how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users.
And learn practical step-by-step solutions on how to deliver a website and mobile app for your first 10 million users. With the basics of AWS platform of availability zones, regions & edge locations.
We will be sharing the components of a web app such as web server, app server, database, components, application compute, database engine, storage and delivery.
Learn how customers like Netflix, DBS and Banyan Tree scale their business on AWS.
If you're in South East Asia join us for upcoming AWS Webinar Series https://aws.amazon.com/events/asean/webinars/
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.
This is your chance to learn directly from top CTOs and Cloud Architects from some of the most innovative AWS customers. In this lightning round session, we'll have an action-packed hour, jumping straight to the architecture and technical detail for some of the most innovative data storage solutions of 2017. Hear how Insitu collects and analyzes data from drone flights in the field with AWS Snowball Edge. See how iRobot collects and analyzes IoT data from their robotic vacuums, mops, and pool cleaners. Learn how Viber maintains a petabyte-scale data lake on Amazon S3. Understand how Alert Logic scales their massive SaaS cloud security solution on Amazon S3 & Amazon Glacier.
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
Design, Build, and Modernize Your Web Applications with AWSDonnie Prakoso
Cloud makes it super easy for you to spin off your desired IT resources. But, the true value of cloud lies in its capability to provide you a set of building blocks for your applications. Join us in this hands-on session to understand how to use Amazon Virtual Private Cloud (VPC) and Amazon Elastic Compute Cloud (EC2) along with Amazon EC2 Auto Scaling and Elastic Load Balancer to design your scalable architecture and build your applications in no time. Moreover, we will discover how to modernize your application with the help of our serverless service AWS Lambda.
Migrating to 21st Century Analytics: Zopa Story
Speakers:
Shafreen Sayyed, Solution Architect, AWS
Varun Gangoor, Senior Big Data Engineer, Zopa
Data makes the world go around these days, and 21st Century Data Analytics means you can store, process and analyze massive amounts of data, often in real time, whilst making that data consumable across diverse groups in your organization. Many traditional tools lock data away in inflexible silos, making this impossible. This session will look at what is needed in a Financial Services organization to achieve a flexible and scalable data architecture, and we will also hear from Zopa, UK's first peer-to-peer lending company, about how they migrated their data analytics estate to AWS and look at what new insight that has given them.
Increasingly, valuable customer data sources are dispersed among on-premises data centers, SaaS providers, partners, third-party data providers, and public datasets. Building a data lake on AWS offers a foundation for storing on-premises, third-party, and public datasets cost effectively with high performance. This workshop introduces AWS tools and technologies you can use to analyze and extract value from petabyte-scale datasets, including Amazon Athena and Amazon Redshift Spectrum.
100 Billion Data Points With Lambda_AWSPSSummit_SingaporeAmazon Web Services
The document discusses the Genome Institute of Singapore's use of AWS services like Lambda and Batch for processing and analyzing genomics data. It describes their journey from using basic compute and storage to implementing serverless architectures on AWS to automate complex genomics pipelines and scale to process over 100 billion data points daily from sequencing experiments. This enabled GIS to achieve their objective of characterizing genetic variation in 10,000 Singaporeans through whole genome sequencing and create genomic references and controls for disease studies.
FSV305-Optimizing Payments Collections with Containers and Machine LearningAmazon Web Services
The Bank of Nova Scotia is using deep learning to improve the way it manages payments collections for its millions of credit card customers. In this session, we will show how the Bank of Nova Scotia leveraged Amazon EC2 Container Service and EC2 Container Registry and Docker to streamline their deployment pipeline. We will also cover how the bank used AWS IAM and Amazon S3 for asset management and security, as well as AWS GPU accelerated instances and TensorFlow to develop a retail risk model. We will conclude the session by examining how the Bank of Nova Scotia was able to dramatically cut costs in comparison to on-premise development.
MBL204_Architecting Cost-Effective Mobile Backends for Scale, Security, and P...Amazon Web Services
Successful mobile applications rely on a broad spectrum of backend services that support the features and functionality of the front-end mobile application. The success of the mobile application depends on those backend services being built so that they can scale as the application’s audience grows, sometimes explosively when an app takes off. They must also protect the security and privacy of the data used in the application.
Xây dựng website và ứng dụng mobile đáp ứng 10 triệu người dùngAmazon Web Services
Điện toán đám mây đem đến nhiều tiện ích cho người dùng, trong đó nổi bật là khả năng mở rộng tài nguyên ứng dụng theo nhu cầu dùng thực. Là một nhà phát triển ứng dụng và muốn sử dụng hạ tầng cloud, bạn có thể có những thắc mắc, băn khoăn và không biết phải bắt đầu từ đâu.
Trong khuôn khổ webinar, Speaker sẽ giới thiệu các best practices để mở rộng tài nguyên hiệu quả cho hệ thống từ 0 tới hàng triệu người dùng. Bạn sẽ được hướng dẫn cách sử dụng kết hợp nhiều dịch vụ của AWS, đưa ra quyết định quan trọng cho thiết kế hệ thống, và mở rộng hệ thống trên nền tảng cloud.
ABD201-Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
In this session, we simplify big data processing as a data bus comprising various stages: collect, store, process, analyze, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
How Nextdoor Built a Scalable, Serverless Data Pipeline for Billions of Event...Amazon Web Services
In this session, learn how Nextdoor replaced their home-grown data pipeline based on a topology of Flume nodes with a completely serverless architecture based on Kinesis and Lambda. By making these changes, they improved both the reliability of their data and the delivery times of billions of records of data to their Amazon S3–based data lake and Amazon Redshift cluster. Nextdoor is a private social networking service for neighborhoods.
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.
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice. Level 200
Jeet Shangari
Sr. Technical Account Manager, AWS
by Jeet Shangari, Sr. Technical Account Manager, AWS
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice. Level 200
RET305-Turbo Charge Your E-Commerce Site wAmazon Cache and Search Solutions.pdfAmazon Web Services
In this retail-focused workshop, we review and solve some of the common technical challenges that retailers face. These include scaling their backend databases to accommodate fluctuating demand and enabling full-text product search to achieve more relevant product search results. Bring your laptops, because after reviewing the proposed solutions, you can get hands-on with Amazon ElastiCache for Redis and see how easy it is to reduce the cost and pressure to your backend database, while dramatically improving the performance. We also show how you can leverage the Amazon Elasticsearch Service for building a full-text search solution.
Serverless introduction - AWS IL Beer Sheva meetupBoaz Ziniman
- The document discusses serverless computing, which allows building and running applications without having to manage servers. It describes how serverless is an evolution from physical servers, to virtual servers in datacenters, to virtual servers in the cloud. With serverless, there is no server to manage, which eliminates responsibilities around provisioning, scaling, operations, availability and fault tolerance. Serverless applications are event-driven and pay only for usage, with continuous scaling. Common use cases provided include a 3-tier web app and image thumbnail creation.
Similar to ARC201_Scaling Up to Your First 10 Million Users (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.