Over the last decade AWS has launched more than 90 services. Even today, we continue to innovate at a rapid pace and are adding new features and services. We see backwards compatibility not as a goal to strive for, but as a necessity to maintain our most important asset: customer trust. It’s not just the service API that needs to be backwards compatible, client-side libraries need to be able to handle service changes as well. Over the years we’ve learned how to design API’s in a way that preserves backwards compatibility, while continuing to evolve. In this session you will learn:
· What backwards compatibility means and what forms it may take
· What impact breaking changes may have on consumers of an API or library
· How to design to prevent breaking changes while allowing for future enhancements
Through this session, you will also pick-up concrete design patterns that you can use and anti-patterns that you can recognize so that your service API or library can continue to grow without breaking the world. Using the AWS client-side SDKs as a case study we’ll look at actual code examples of specific strategies that you can employ to keep your library backwards compatible without painting yourself into a corner.
MBL309_User Engagement, Messaging, and Analytics Using Amazon Pinpoint from A...Amazon Web Services
Hands-off-the-wheel messaging and analytics automation is important for enterprises looking to effectively engage their users at the right time, on the right channel and with the right message. In this workshop, you will learn how to use Amazon Pinpoint to setup an application and campaign analytics pipeline and to create transactional and targeted messaging scenarios using mobile push, SMS and email.
by Rich Alberth, Solutions Architect, AWS
If you need to query relationships between data, you need a graph database. We’ll take a close look at Amazon Neptune, explore the differences between property graphs and RDF, then do graph data queries using Apache Tinkerpop. You’ll need a laptop with a Firefox or Chrome browser.
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AWS provides a killer feature for security operations teams: Access Advisor. In this session, we discuss how Access Advisor shows the services to which an IAM policy grants access and provides a timestamp for the last time that the role authenticated against that service. At Netflix, we use this valuable data to automatically remove permissions that are no longer used. By continually removing excess permissions, we can achieve a balance of empowering developers and maintaining a best-practice, secure environment.
NEW LAUNCH! Deep dive on Amazon Neptune - DAT318 - re:Invent 2017Amazon Web Services
Amazon Neptune is a fully managed graph database service which has been built ground up for handling rich highly connected data. Graph databases have diverse use cases across multiple industries; examples include recommendation engines, knowledge graphs, fraud detection, social networks, network management and life sciences. Amazon Neptune is open and flexible with support for Apache TinkerPop and RDF/SPARQL standards. Under the hood Neptune uses the same foundational building blocks as Amazon Aurora which gives it high performance, availability and durability. In this session, we will do a deep dive into capabilities, performance and key innovations in Amazon Neptune.
by Ganesh Shankaran, Sr. Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
AWS Lambda enables you to run code without provisioning or managing servers. Today, you can write your Lambda functions once and execute them everywhere your end viewers are present with AWS Lambda@Edge. This session walks through multiple examples of web applications that use the serverless programming model for authentication, customization, and security to address the question of how to design and deploy intelligent web applications with AWS Lambda@Edge and Amazon CloudFront. The startup DataDome will also share its experience with Lambda@Edge and CloudFront, and how it simplified the onboarding process for its customers. Deployed globally on CloudFront PoP locations, their bot protection service can now be activated in one-click through the AWS console.
Best Practices for Orchestrating AWS Lambda Workloads - SRV335 - re:Invent 2017Amazon Web Services
Serverless and AWS Lambda specifically enable developers to build super-scalable application components with minimal effort. You can use Amazon Kinesis and Amazon SQS to create a universal event stream to orchestrate Lambdas into much more complex applications. Now, using AWS Step Functions, we can build large distributed applications with Lambdas using visual workflows. See how Step Functions are different from Amazon SWF, how to get started with Step Functions, and how to use them to take your Lambda-based applications to the next level. We start with a few granular functions and stitch them up using Step Functions. As we build out the application, we add monitoring to ensure that changes we make actually improve things, not make them worse. Leave the session with actionable learnings for using Step Functions in your environment right away.
Session sponsored by Datadog
MBL309_User Engagement, Messaging, and Analytics Using Amazon Pinpoint from A...Amazon Web Services
Hands-off-the-wheel messaging and analytics automation is important for enterprises looking to effectively engage their users at the right time, on the right channel and with the right message. In this workshop, you will learn how to use Amazon Pinpoint to setup an application and campaign analytics pipeline and to create transactional and targeted messaging scenarios using mobile push, SMS and email.
by Rich Alberth, Solutions Architect, AWS
If you need to query relationships between data, you need a graph database. We’ll take a close look at Amazon Neptune, explore the differences between property graphs and RDF, then do graph data queries using Apache Tinkerpop. You’ll need a laptop with a Firefox or Chrome browser.
If you need to query relationships between data, you need a graph database. We’ll take a close look at Amazon Neptune, explore the differences between property graphs and RDF, then do graph data queries using Apache Tinkerpop. You’ll need a laptop with a Firefox or Chrome browser.
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AWS provides a killer feature for security operations teams: Access Advisor. In this session, we discuss how Access Advisor shows the services to which an IAM policy grants access and provides a timestamp for the last time that the role authenticated against that service. At Netflix, we use this valuable data to automatically remove permissions that are no longer used. By continually removing excess permissions, we can achieve a balance of empowering developers and maintaining a best-practice, secure environment.
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Amazon Neptune is a fully managed graph database service which has been built ground up for handling rich highly connected data. Graph databases have diverse use cases across multiple industries; examples include recommendation engines, knowledge graphs, fraud detection, social networks, network management and life sciences. Amazon Neptune is open and flexible with support for Apache TinkerPop and RDF/SPARQL standards. Under the hood Neptune uses the same foundational building blocks as Amazon Aurora which gives it high performance, availability and durability. In this session, we will do a deep dive into capabilities, performance and key innovations in Amazon Neptune.
by Ganesh Shankaran, Sr. Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
AWS Lambda enables you to run code without provisioning or managing servers. Today, you can write your Lambda functions once and execute them everywhere your end viewers are present with AWS Lambda@Edge. This session walks through multiple examples of web applications that use the serverless programming model for authentication, customization, and security to address the question of how to design and deploy intelligent web applications with AWS Lambda@Edge and Amazon CloudFront. The startup DataDome will also share its experience with Lambda@Edge and CloudFront, and how it simplified the onboarding process for its customers. Deployed globally on CloudFront PoP locations, their bot protection service can now be activated in one-click through the AWS console.
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Serverless and AWS Lambda specifically enable developers to build super-scalable application components with minimal effort. You can use Amazon Kinesis and Amazon SQS to create a universal event stream to orchestrate Lambdas into much more complex applications. Now, using AWS Step Functions, we can build large distributed applications with Lambdas using visual workflows. See how Step Functions are different from Amazon SWF, how to get started with Step Functions, and how to use them to take your Lambda-based applications to the next level. We start with a few granular functions and stitch them up using Step Functions. As we build out the application, we add monitoring to ensure that changes we make actually improve things, not make them worse. Leave the session with actionable learnings for using Step Functions in your environment right away.
Session sponsored by Datadog
Are you using the AWS X-Ray service to gather insights into your distributed applications and want to learn how to do more? Or are you still learning about the service and want to understand its full power and potential? This session is a deep dive into the AWS X-Ray service and how the API’s can be used to derive new and interesting insights. The session will walk through the creation of a custom analytical application, and show code samples that will be available to all attendees. An initial short overview of the service will be provided, but is recommended that for those unfamiliar with the AWS X-Ray service they attend an introductory session.
AWS Metering provides customers with detailed usage information (down to a specific Amazon EC2 instance or Amazon S3 bucket used in a single hour), enabling them to gain deep insights into their utilization of cloud resources. However, this level of transparency is not available across most customers’ traditional IT infrastructure, making it difficult to understand what resources are being used, when, and by whom. Join us in this session to learn how to meter, measure, and understand your usage from AWS, on-premises data centers, containers, serverless compute, even other clouds across your IT infrastructure. We show you how to meter your non-AWS resources to make smarter decisions about your business and investment in the cloud.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
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Avoiding Groundhog Day - Enabling Transformation on Day 1, 100, or 1000 of yo...Amazon Web Services
Migrating workloads to the cloud requires detailed planning and execution. When you’re an established business with users that rely on your cloud workloads, this can seem like an insurmountable task. A complete migration is a victory often celebrated as the end of the journey, when in reality it is just the first step in a process of continual optimization and evolution. To truly optimize the power of AWS and reap the financial and performance benefits of cloud computing, it is critical that you evaluate your workloads for opportunities to continue to evolve to drive business value and embrace the innovative nature of the AWS Cloud. In this session, join Rackspace to learn about key components to consider in order to execute a successful migration to AWS, the importance of optimizing your AWS environment over time, and how customers are leveraging Rackspace’s Fanatical Support for AWS to help them migrate and transform their workloads on AWS.
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.
NEW LAUNCH! AWS IoT Device Management - IOT330 - re:Invent 2017Amazon Web Services
If you have a large fleet of IoT devices join us. We will introduce you to a new service called AWS IoT Device Management. It makes it easy for OEMs, enterprises and integrators to securely manage connected devices throughout their lifecycle: from initial setup through software updates, to retirement. We will show you how customers enroll and authenticate their devices in bulk, organize their fleets, manage permissions, remotely manage and update device software, and monitor the performance of their products. Customers already using the service will show how they have used IoT Device Management to create an IoT solution spanning multiple industries and use cases.
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With the freemium model now the new norm for mobile apps, developers often supplement their revenue with ad-based monetization. Businesses utilize and depend on targeted ads for better engagement and mediation services to manage multiple ad networks to maximize ad revenue. In this workshop, we cover the latest best practices for targeted ad placement for modern apps from basic, interstitial, and incentive videos. We also discuss how targeted ad mediation plays a key role in optimizing app revenue. We then dive into creating a mobile app that is integrated with Amazon Mobile Ads to showcase the revenue possibilities and vault you directly to the bank.
Today, small software teams have the ability to disrupt big markets as more and more businesses start to deliver their products as-a-service. The ability for teams to respond to customers and innovate quickly is their key differentiator. In this session, we will cover how you can begin your DevOps journey by sharing best practices used by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows using AWS Developer tools including AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline and AWS CodeDeploy. Finally, we will demonstrate how to build an end-to-end CICD pipeline with CodeStar in minutes.
In this workshop you’ll get a crash course in building and deploying your first serverless application running on AWS Lambda and Amazon API Gateway. You’ll learn to use development tools such as AWS Cloud9, AWS CodeStar, and AWS Serverless Application Model (SAM) to author, deploy, and debug your application. Requirements: laptop, text editor, AWS account, and AWS Command Line Interface (CLI) installed and configured.
DEV209 A Field Guide to Monitoring in the Cloud: From Lift and Shift to AWS L...New Relic
Presented by Kevin Downs, Senior AWS Technical Partner Manager of New Relic, at Amazon Web Services re:Invent 2017.
Static applications living on long running servers are becoming history in the cloud along with the monitoring assumptions we used to make. Now, we routinely deploy a range of services from autoscaling compute to decoupled message queues to serverless. These dynamic services, along with microservice architectures both break and need to co-exist with traditional monitoring and instrumentation approaches.
Whether you are building new apps, were told to migrate yesterday, are currently migrating, or are already scaling your apps on AWS, this session will dive into the how, where, and when to monitor your applications and infrastructure, no matter where your apps run. You’ll hear best practices we've learned from our customers and running our own service (1.5 Billion+ metrics per minute) too.
Join us for a little bit of history and a whole lot of now as we show you how and what you need to scale and prove your success in the cloud.
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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.
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The slides from my talk at the NordicAPI summit 2017:
https://nordicapis.com/sessions/journey-towards-scaling-application-10-million-users/
A collection of thoughts and ideas that I experienced during my 10 years working with AWS Cloud.
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.
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https://nordicapis.com/sessions/journey-towards-scaling-application-10-million-users/
A collection of thoughts and ideas that I experienced during my 10 years working with AWS Cloud.
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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.