Taking your Progressive Web App to the Next Level with GraphQL and AWS AppSync
Progressive Web Apps (PWAs) are the future of web development and combine the best of web and native apps. In this session you will learn how to build PWAs on AWS then take your app to the next level with AWS AppSync. We will cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, offline access, realtime communications, conflict resolution, and efficient data fetching.
Ed Lima, Associate Solutions Architect, Amazon Web Services
Build a Serverless Application using GraphQL & AWS AppSyncAmazon Web Services
In this workshop, you will learn how to build a serverless app with AppSync and GraphQL. Our serverless experts will show you how to build a weather app which pulls location data from a DynamoDB table and fetches current weather information from an open API for that location.
Develop Cross-Platform Mobile Apps with React Native, GraphQL, & AWS (MOB324)...Amazon Web Services
If you want to rapidly release a mobile app, leveraging cross-platform development techniques using a commonly known language is a proven strategy. In this session, we introduce React Native, a cross-platform JavaScript framework for building native iOS and Android apps. We also show you how to easily build cloud-connected data-driven apps using React Native, GraphQL, and mobile-optimized AWS services.
Ten Tips And Tricks for Improving Your GraphQL API with AWS AppSync (MOB401) ...Amazon Web Services
As you move your modern app to production, you need to consider how to scale, secure, and maintain your backend APIs. In this session, we provide some of the tips, tricks, and best practices for running serverless GraphQL APIs reliably on AWS. We cover topics such as versioning, multiple environments, CI/CD, advanced schema design, monitoring, alerting, and advanced search scenarios.
Simpler by Design: Build a Better GraphQL API for Your Next App by Writing Le...Amazon Web Services
Building a scalable API for your mobile app can be daunting. Between authentication, authorization, database, real-time and offline considerations and the soft requirements of serverless scalability, expandability, security, and availability, the API can become complicated. In this session, learn how to easily build a serverless GraphQL API for your next app without needing to be an API expert, then integrate it into your app with just a few lines of code. Accelerate your app development by simplifying your backend design.
Serverless State Management & Orchestration for Modern Apps (API302) - AWS re...Amazon Web Services
Keeping track of state and orchestrating the components of a distributed application is complex. AWS Step Functions makes the job simpler, faster, and more intuitive. In this session, learn how to leverage AWS Step Functions to design and run workflows for your serverless, containerized, and instance-based architectures. We explore practical applications of orchestration spanning different industries and workloads. For each, we walk through the architecture, lessons learned, and business outcomes. Expect to leave this session with a practical understanding of how to use orchestration to express your application’s business logic more productively while improving its resilience.
Petabytes of Data & No Servers: Corteva Scales DNA Analysis to Meet Increasin...Amazon Web Services
Corteva Agriscience, the agricultural division of DowDuPont, produces as much DNA sequence data every six hours as existed in the entire public sphere in 2008. On-premises processing and storage could not scale to meet the business demand. Partnering with Sogeti (part of Capgemini), Corteva replatformed their existing Hadoop-based genome processing systems into AWS using a serverless, cloud-native architecture. In this session, learn how Corteva Agriscience met current and future data processing demands without maintaining any long-running servers by using AWS Lambda, Amazon S3, Amazon API Gateway, Amazon EMR, AWS Glue, AWS Batch, and more. This session is brought to you by AWS partner, Capgemini America.
Reactive Microservices with AWS Lambda (SRV201-R1) - AWS re:Invent 2018Amazon Web Services
In this talk, we cover the concepts of reactive microservices architecture, a set of patterns and best practices for implementing backend systems with very high scaling and availability guarantees. We show you how to implement these patterns and best practices as serverless applications using AWS technologies like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Kinesis. In addition, we demonstrate a serverless microservice and the pitfalls to consider when running these microservices in a production environment.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Build a Serverless Application using GraphQL & AWS AppSyncAmazon Web Services
In this workshop, you will learn how to build a serverless app with AppSync and GraphQL. Our serverless experts will show you how to build a weather app which pulls location data from a DynamoDB table and fetches current weather information from an open API for that location.
Develop Cross-Platform Mobile Apps with React Native, GraphQL, & AWS (MOB324)...Amazon Web Services
If you want to rapidly release a mobile app, leveraging cross-platform development techniques using a commonly known language is a proven strategy. In this session, we introduce React Native, a cross-platform JavaScript framework for building native iOS and Android apps. We also show you how to easily build cloud-connected data-driven apps using React Native, GraphQL, and mobile-optimized AWS services.
Ten Tips And Tricks for Improving Your GraphQL API with AWS AppSync (MOB401) ...Amazon Web Services
As you move your modern app to production, you need to consider how to scale, secure, and maintain your backend APIs. In this session, we provide some of the tips, tricks, and best practices for running serverless GraphQL APIs reliably on AWS. We cover topics such as versioning, multiple environments, CI/CD, advanced schema design, monitoring, alerting, and advanced search scenarios.
Simpler by Design: Build a Better GraphQL API for Your Next App by Writing Le...Amazon Web Services
Building a scalable API for your mobile app can be daunting. Between authentication, authorization, database, real-time and offline considerations and the soft requirements of serverless scalability, expandability, security, and availability, the API can become complicated. In this session, learn how to easily build a serverless GraphQL API for your next app without needing to be an API expert, then integrate it into your app with just a few lines of code. Accelerate your app development by simplifying your backend design.
Serverless State Management & Orchestration for Modern Apps (API302) - AWS re...Amazon Web Services
Keeping track of state and orchestrating the components of a distributed application is complex. AWS Step Functions makes the job simpler, faster, and more intuitive. In this session, learn how to leverage AWS Step Functions to design and run workflows for your serverless, containerized, and instance-based architectures. We explore practical applications of orchestration spanning different industries and workloads. For each, we walk through the architecture, lessons learned, and business outcomes. Expect to leave this session with a practical understanding of how to use orchestration to express your application’s business logic more productively while improving its resilience.
Petabytes of Data & No Servers: Corteva Scales DNA Analysis to Meet Increasin...Amazon Web Services
Corteva Agriscience, the agricultural division of DowDuPont, produces as much DNA sequence data every six hours as existed in the entire public sphere in 2008. On-premises processing and storage could not scale to meet the business demand. Partnering with Sogeti (part of Capgemini), Corteva replatformed their existing Hadoop-based genome processing systems into AWS using a serverless, cloud-native architecture. In this session, learn how Corteva Agriscience met current and future data processing demands without maintaining any long-running servers by using AWS Lambda, Amazon S3, Amazon API Gateway, Amazon EMR, AWS Glue, AWS Batch, and more. This session is brought to you by AWS partner, Capgemini America.
Reactive Microservices with AWS Lambda (SRV201-R1) - AWS re:Invent 2018Amazon Web Services
In this talk, we cover the concepts of reactive microservices architecture, a set of patterns and best practices for implementing backend systems with very high scaling and availability guarantees. We show you how to implement these patterns and best practices as serverless applications using AWS technologies like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Kinesis. In addition, we demonstrate a serverless microservice and the pitfalls to consider when running these microservices in a production environment.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Leadership Session: Overview of Amazon Digital User Engagement Solutions (DIG...Amazon Web Services
This session, we describe how AWS provides the Amazon customer-centric culture of innovation, key technology building blocks, and a user engagement platform to help companies better engage their users. You also learn how Disney Streaming Services is utilizing the Amazon approach to engage its users. The intended audience is developers and business professionals who are responsible for digitally transforming their company.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Data Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session helps you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility.
In questo workshop abbiamo parlato di GraphQL, un query language che permette di estrarre e manipolare i dati provenienti dal back-end in maniera semplice ed efficiente, fornendo una valida alternativa all'utilizzo e sviluppo di API REST.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
In this session, learn how Supercell architected its analytics pipeline on AWS. We dive deep into how Supercell leverages Amazon Elastic Compute Cloud (Amazon EC2), Amazon Kinesis, Amazon Simple Storage Service (Amazon S3), Amazon EMR, and Spark to ingest, process, store, and query petabytes of data. We also dive deep into how Supercell's games are architected to accommodate scaling and failure recovery. We explain how Supercell's teams are organized into small and independent cells and how this affects the technology choices they make to produce value and agility in the development process.
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product.
In this session, we will take a common website architecture and show how can we use AWS Lambda, AWS AppSync and other Services to build smarter and better systems.
Enable Your Marketing Teams to Engage Users with Relevant & Personalized Cont...Amazon Web Services
This chalk talk is delivered by the innovation team from Claro, a major Brazilian telecommunications company that serves over 50 million customers with broadband, mobile, cable TV, and video-on-demand services. Members of the Claro innovation team describe how they enable their marketing departments to engage customers through campaigns that send personalized messages, such as billing reminders, updates on internet credits, and upcoming program alerts. They share how they then measure customer engagement and user behaviors, all using Amazon Pinpoint.
Don’t Wait Until Tomorrow: From Batch to Streaming (ANT360) - AWS re:Invent 2018Amazon Web Services
In recent years, there has been explosive growth in the number of connected devices and real-time data sources. Data is being produced continuously and its production rate is accelerating. Businesses can no longer wait for hours or days to use this data. To gain the most valuable insights, they must use this data immediately so they can react quickly to new information. In this chalk talk, we discuss how to take advantage of streaming data sources to analyze and react in near-real time. In addition, we present different options for how to solve a real-world scenario and walk through those solutions.
Streaming data ingestion and near real-time analysis gives you immediate insights into your data. By using AWS Lambda with Amazon Kinesis, you can obtain these insights without the need to manage servers. But are you doing this in the most optimal way? In this interactive session, we review the best practices for using Lambda with Kinesis, and how to avoid common pitfalls.
BDA304 Build Deep Learning Applications with TensorFlow and Amazon SageMakerAmazon Web Services
Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, you learn how to get started with the TensorFlow deep learning framework using Amazon SageMaker, a platform to easily build, train, and use to deploy models at scale. You learn how to build a model using TensorFlow by setting up a Jupyter Notebook to get started with image and object recognition. You also learn how to quickly train and deploy a model through Amazon SageMaker.
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
What's New in AR & VR: State of the World Report (ARV203) - AWS re:Invent 2018Amazon Web Services
In this session, Amazon Sumerian leaders provide an overview of the evolution of the augmented reality/virtual reality (AR/VR) industry. They discuss what has changed since Sumerian was announced at re:invent 2017. They also talk about key market trends, and they highlight areas with the highest adoption and potential. This is an immersive session, with examples and demonstrations of immersive experiences created using Amazon Sumerian.
Security Observability: Democratizing Security in the Cloud (DEV206-S) - AWS ...Amazon Web Services
In the world of security monitoring and alerting, there is an increasing number of opportunities and advanced technologies. People look for better ways to gain insights from large datasets and are tasked with the responsibility of communicating that data throughout the entire organization. In this talk, we explore how to democratize the security of your next-gen infrastructure by building measurement directly into systems, factoring in security-related KPIs and OKRs. Attendees learn how everyone, from SMBs to enterprises, securely scale their infrastructure while continuing to enable innovation at the speed of business. This session is brought to you by AWS partner, Threat Stack.
Serverless Architectural Patterns and Best Practices (ARC305-R2) - AWS re:Inv...Amazon Web Services
As serverless architectures become more popular, customers need a framework of patterns to help them identify how to leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility.
[NEW LAUNCH!] Introducing ML Insights with Amazon QuickSight (ANT379) - AWS r...Amazon Web Services
Today, customers using traditional BI tools spend too much time sifting through numerous dashboards to manually interpret the charts or rows and columns in their tables. Amazon QuickSight now applies the power of machine learning and natural language to proactively discover and deliver insights to every user in your organization. Learn how QuickSight automatically analyzes data to help you discover hidden insights, understand key business drivers, and deliver these insights in plain language directly to your inbox, so you always stay on top of your business.
Learning Objectives:
-Understand how to use a graph model and query languages to build applications over highly connected data
-Understand how the features of Amazon Neptune enable you to build production ready graph applications -Learn how to get started
Taking your Progressive Web App to the Next Level with GraphQL and AWS AppSyncAmazon Web Services
Progressive Web Apps (PWAs) are the future of web development and combine the best of web and native apps. In this session you will learn how to build PWAs on AWS then take your app to the next level with AWS AppSync. We will cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, offline access, realtime communications, conflict resolution, and efficient data fetching.
In this session we'll take a look at AWS AppSync, the Managed GraphQL service from AWS. We'll begin by having an introduction to GraphQL, followed by an introduction to AWS AppSync, how it works, and how to use it.
Leadership Session: Overview of Amazon Digital User Engagement Solutions (DIG...Amazon Web Services
This session, we describe how AWS provides the Amazon customer-centric culture of innovation, key technology building blocks, and a user engagement platform to help companies better engage their users. You also learn how Disney Streaming Services is utilizing the Amazon approach to engage its users. The intended audience is developers and business professionals who are responsible for digitally transforming their company.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Data Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session helps you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility.
In questo workshop abbiamo parlato di GraphQL, un query language che permette di estrarre e manipolare i dati provenienti dal back-end in maniera semplice ed efficiente, fornendo una valida alternativa all'utilizzo e sviluppo di API REST.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
In this session, learn how Supercell architected its analytics pipeline on AWS. We dive deep into how Supercell leverages Amazon Elastic Compute Cloud (Amazon EC2), Amazon Kinesis, Amazon Simple Storage Service (Amazon S3), Amazon EMR, and Spark to ingest, process, store, and query petabytes of data. We also dive deep into how Supercell's games are architected to accommodate scaling and failure recovery. We explain how Supercell's teams are organized into small and independent cells and how this affects the technology choices they make to produce value and agility in the development process.
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product.
In this session, we will take a common website architecture and show how can we use AWS Lambda, AWS AppSync and other Services to build smarter and better systems.
Enable Your Marketing Teams to Engage Users with Relevant & Personalized Cont...Amazon Web Services
This chalk talk is delivered by the innovation team from Claro, a major Brazilian telecommunications company that serves over 50 million customers with broadband, mobile, cable TV, and video-on-demand services. Members of the Claro innovation team describe how they enable their marketing departments to engage customers through campaigns that send personalized messages, such as billing reminders, updates on internet credits, and upcoming program alerts. They share how they then measure customer engagement and user behaviors, all using Amazon Pinpoint.
Don’t Wait Until Tomorrow: From Batch to Streaming (ANT360) - AWS re:Invent 2018Amazon Web Services
In recent years, there has been explosive growth in the number of connected devices and real-time data sources. Data is being produced continuously and its production rate is accelerating. Businesses can no longer wait for hours or days to use this data. To gain the most valuable insights, they must use this data immediately so they can react quickly to new information. In this chalk talk, we discuss how to take advantage of streaming data sources to analyze and react in near-real time. In addition, we present different options for how to solve a real-world scenario and walk through those solutions.
Streaming data ingestion and near real-time analysis gives you immediate insights into your data. By using AWS Lambda with Amazon Kinesis, you can obtain these insights without the need to manage servers. But are you doing this in the most optimal way? In this interactive session, we review the best practices for using Lambda with Kinesis, and how to avoid common pitfalls.
BDA304 Build Deep Learning Applications with TensorFlow and Amazon SageMakerAmazon Web Services
Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, you learn how to get started with the TensorFlow deep learning framework using Amazon SageMaker, a platform to easily build, train, and use to deploy models at scale. You learn how to build a model using TensorFlow by setting up a Jupyter Notebook to get started with image and object recognition. You also learn how to quickly train and deploy a model through Amazon SageMaker.
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
What's New in AR & VR: State of the World Report (ARV203) - AWS re:Invent 2018Amazon Web Services
In this session, Amazon Sumerian leaders provide an overview of the evolution of the augmented reality/virtual reality (AR/VR) industry. They discuss what has changed since Sumerian was announced at re:invent 2017. They also talk about key market trends, and they highlight areas with the highest adoption and potential. This is an immersive session, with examples and demonstrations of immersive experiences created using Amazon Sumerian.
Security Observability: Democratizing Security in the Cloud (DEV206-S) - AWS ...Amazon Web Services
In the world of security monitoring and alerting, there is an increasing number of opportunities and advanced technologies. People look for better ways to gain insights from large datasets and are tasked with the responsibility of communicating that data throughout the entire organization. In this talk, we explore how to democratize the security of your next-gen infrastructure by building measurement directly into systems, factoring in security-related KPIs and OKRs. Attendees learn how everyone, from SMBs to enterprises, securely scale their infrastructure while continuing to enable innovation at the speed of business. This session is brought to you by AWS partner, Threat Stack.
Serverless Architectural Patterns and Best Practices (ARC305-R2) - AWS re:Inv...Amazon Web Services
As serverless architectures become more popular, customers need a framework of patterns to help them identify how to leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility.
[NEW LAUNCH!] Introducing ML Insights with Amazon QuickSight (ANT379) - AWS r...Amazon Web Services
Today, customers using traditional BI tools spend too much time sifting through numerous dashboards to manually interpret the charts or rows and columns in their tables. Amazon QuickSight now applies the power of machine learning and natural language to proactively discover and deliver insights to every user in your organization. Learn how QuickSight automatically analyzes data to help you discover hidden insights, understand key business drivers, and deliver these insights in plain language directly to your inbox, so you always stay on top of your business.
Learning Objectives:
-Understand how to use a graph model and query languages to build applications over highly connected data
-Understand how the features of Amazon Neptune enable you to build production ready graph applications -Learn how to get started
Taking your Progressive Web App to the Next Level with GraphQL and AWS AppSyncAmazon Web Services
Progressive Web Apps (PWAs) are the future of web development and combine the best of web and native apps. In this session you will learn how to build PWAs on AWS then take your app to the next level with AWS AppSync. We will cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, offline access, realtime communications, conflict resolution, and efficient data fetching.
In this session we'll take a look at AWS AppSync, the Managed GraphQL service from AWS. We'll begin by having an introduction to GraphQL, followed by an introduction to AWS AppSync, how it works, and how to use it.
by Brice Pelle, Enterprise Support Lead, AWS
Production mobile apps don’t get built on a developer workstation. In this session, you will learn what AWS offers to turn your development process into a well-maintained machine. Using continuous integration, your builds will be consistent and documented. We’ll show you how to automatically build a releasable package with AWS Code* services.
by Karthik Saligrama, SDE AWS AppSync
You’ve got an awesome startup idea – Wild Rydes! The next generation in transportation will be driven by a willing unicorn population and your new startup will produce the worlds first unicorn hailing services. It’s just seven days to launch, and your designers have delivered the final designs for your website, but your idea depends on the mobile economy! Can you build out your web and mobile infrastructure in time for your launch?
Across three days, AWS experts will guide you through all the pieces that are needed to produce an awesome mobile experience for both your unicorns and your riders.
Leadership Session: Developing Mobile & Web Apps on AWS (MOB202-L) - AWS re:I...Amazon Web Services
Do you wonder what AWS thinks about mobile development? In this session, learn the very latest about the many AWS services that web and mobile developers can leverage to make cloud-enabled development possible, and hear what might be in store for the future.
Gaining Visibility and Insight into Your Distributed Applications with AWS X-...Amazon Web Services
Gaining Visibility and Insight into Your Distributed Applications with AWS X-Ray and AWS Step Functions
Distributed applications present an additional layer of complexity over traditional monolithic designs and make monitoring, debugging, and optimising systems a challenge. AWS Step Functions manages the heavy-lifting of state management and coordination between tasks, making it easier to build distributed applications with complex business workflows. In this session you will learn how to build state machines to orchestrate multi-step serverless applications and gain operational visibility into your distributed applications using AWS X-Ray.
Glenn Gillen, Solutions Architect, Amazon Web Services
Building mobile apps that can automatically scale globally to millions of use...AWS Germany
AWS provides purpose-built tools with purpose-built database solutions for builders. In this session, we looked at the the scalable key-value storage of DynamoDB, the submilli second speed of ElastiCache for Redis, the relationship graph transversals of Neptune, and the search power of Elasticsearch and build mobile applications that use them. https://aws.amazon.com/products/databases/
GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data-intensive applications as simple as writing a few lines of code. In this session, we’ll introduce the core concepts of GraphQL and put that into practice with real-world implementations using tools such as AWS Lambda and AWS AppSync to deliver real-time collaborative experiences for web and mobile apps. We’ll also show you how to use multiple data sources, manage off-line users’ data, and resolve data conflicts.
Build a Photo-Sharing App with AI-Powered Face and Object Detection (MOB306) ...Amazon Web Services
In this workshop, we build a data-driven web app that lets users upload to shared, secure photo galleries. We use AWS AppSync to get up and running quickly with a GraphQL API that backs our data in Amazon DynamoDB. In addition, we demonstrate how to use AWS Amplify library to authenticate users, communicate with our API, and manage photo uploads. Finally, we add in AI-powered face and object tagging using Amazon Rekognition, allowing users to discover photos without any manual data entry.
Modern Applications Web Day | Impress Your Friends with Your First Serverless...AWS Germany
"Build and run applications without thinking about servers". You want it? You get it! We will start this session with a motivation why serverless applications are a thing. Once we got there, we will actually start building one, of course with making use of a serverless CI/CD pipeline. After we will have looked into how we can still test it locally, we shall also dive into analyzing and debugging our app - of course in a serverless manner.
Speaker: Dirk Fröhner, Senior Solutions Architect, AWS
As serverless architectures become more popular, customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems. This session will discuss several re-usable serverless patterns and focus one two major ones, web apps and stream processing.
SRV316 Serverless Data Processing at Scale: An Amazon.com Case StudyAmazon Web Services
Come to this session, and learn how Amazon takes advantage of AWS Lambda with Amazon Kinesis, Amazon Kinesis Data Firehose, and Amazon Kinesis Data Analytics to run a highly scalable, high-throughput pipeline to support its data processing needs. We cover different example architectures that handle such use cases as in-line process and data manipulation. We also discuss the advantages of using the AWS platform to manage different streams for data processing.
In this webinar we’ll give you an overview the next generation technology for building APIs called GraphQL and how AWS AppSync takes advantage of GraphQL to make it easy to build collaborative mobile and web applications that deliver responsive and enhanced user experiences.
Modern developers need easy tools for real time, offline access and synchronisation. These techniques are no longer optional for a great end user experience, yet they are difficult to engineer and scale from scratch. Implementing these concepts with modern data fetching patterns across web or mobile can also be difficult.
AWS AppSync automatically updates the data for web and mobile applications in real time and synchronize data for offline users as soon as they reconnect, managing everything needed to store, process, and retrieve the data for your application. In this session, we will also cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, pagination, relations, offline access, real time communications, conflict resolution, and efficient data fetching.
What to expect:
Learn GraphQL Concepts
Understand how to use AWS AppSync with different data sources
Manage application data with real time and offline capabilities in the cloud
As serverless architectures become more popular, customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems. This session will discuss several re-usable serverless patterns such as web apps, data processing, data lake, and more.
Similar to Taking your Progressive Web App to the Next Level - AWS Summit Sydney 2018 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.