This document provides an overview of Amazon Web Services (AWS) and its machine learning and artificial intelligence capabilities. It discusses how AWS offers a full suite of AI and ML services including tools for computer vision, natural language processing, forecasting, and more. It also outlines AWS's machine learning infrastructure which includes optimized hardware, frameworks, and SageMaker for building, training, and deploying models. AWS aims to put machine learning in the hands of every developer and data scientist.
AWS for Semiconductor and Electronics Design | Hsinchu, April 10Amazon Web Services
Join us in Hsinchu on Thursday, April 10, 2014 as we bring Taiwanese semiconductor and electronic systems companies and engineering users together with Electronic Design Automation (EDA) and Computer Aided Engineering (CAE) ISVs to learn about cloud deployments. Hear about successes in industries directly related to EDA/CAE, and consider your own POC and production projects with AWS best-practices.
“We are attending because we think the cloud is a compute model change that is of interest to our customers, which makes it of interest to Cadence. We’re looking forward to conversations with customers to understand their specific interests and timeframes. We appreciate the invitation from Amazon to attend. Amazon is clearly a leader in this space and we anticipate working together on many engagements.”
Larry Drenan, Services Director, Global Design Environment, Cadence
This free, half-day event will focus on commercial HPC use-cases and best practices for design, engineering, and manufacturing of semiconductors and electronic systems using AWS to achieve increased flexibility, reduced development costs, and faster time-to-market.
Building an Investment Case for Mass Migrations to AWS - AWS Summit SG 2017Amazon Web Services
While cloud is fast becoming the new normal for organisations of all sizes, many IT executives & budget owners struggle to articulate the business value of moving to the cloud in terms that resonate with the Board and the broader C suite. In this session, we will talk through a live customer migration investment case that we had developed for a customer to undertake a commercial evaluation of their move to the cloud. It will illustrate the true impact of cloud computing on the overall IT cost base along with migration costs and associated non-cost benefits. Finally, we will discuss how AWS can support you in developing a similar investment case for your organization through a holistic framework.
Cloud of Today is Built on People’s Data. Cloud of Tomorrow will be Built on ...Amazon Web Services
A dive into Intel’s vision of the future of connected devices and the cloud, how Intel and AWS partnership will to be at the centre of this amazing transformation. Lastly how we can help your business succeed by joining us in this journey.
AWS for Semiconductor and Electronics Design | Hsinchu, April 10Amazon Web Services
Join us in Hsinchu on Thursday, April 10, 2014 as we bring Taiwanese semiconductor and electronic systems companies and engineering users together with Electronic Design Automation (EDA) and Computer Aided Engineering (CAE) ISVs to learn about cloud deployments. Hear about successes in industries directly related to EDA/CAE, and consider your own POC and production projects with AWS best-practices.
“We are attending because we think the cloud is a compute model change that is of interest to our customers, which makes it of interest to Cadence. We’re looking forward to conversations with customers to understand their specific interests and timeframes. We appreciate the invitation from Amazon to attend. Amazon is clearly a leader in this space and we anticipate working together on many engagements.”
Larry Drenan, Services Director, Global Design Environment, Cadence
This free, half-day event will focus on commercial HPC use-cases and best practices for design, engineering, and manufacturing of semiconductors and electronic systems using AWS to achieve increased flexibility, reduced development costs, and faster time-to-market.
Building an Investment Case for Mass Migrations to AWS - AWS Summit SG 2017Amazon Web Services
While cloud is fast becoming the new normal for organisations of all sizes, many IT executives & budget owners struggle to articulate the business value of moving to the cloud in terms that resonate with the Board and the broader C suite. In this session, we will talk through a live customer migration investment case that we had developed for a customer to undertake a commercial evaluation of their move to the cloud. It will illustrate the true impact of cloud computing on the overall IT cost base along with migration costs and associated non-cost benefits. Finally, we will discuss how AWS can support you in developing a similar investment case for your organization through a holistic framework.
Cloud of Today is Built on People’s Data. Cloud of Tomorrow will be Built on ...Amazon Web Services
A dive into Intel’s vision of the future of connected devices and the cloud, how Intel and AWS partnership will to be at the centre of this amazing transformation. Lastly how we can help your business succeed by joining us in this journey.
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In this series, we will cover:'Introduction to Cloud Computing with Amazon Web Services'.
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 APAC Principal Technology Evangelist인 Markku Lepisto가 진행한 강연입니다.
강연 요약: 클라우드 컴퓨팅은 기업들의 IT 서비스 소비와 생산 방식을 빠르게 변화시키고 있습니다. 일반적으로 큰 규모의 기업들은 클라우드 컴퓨팅의 가치를 잘 인식하고 있지만, 자신들의 사업에 적합하게 클라우드 컴퓨팅을 평가하고 도입할 방법에 대해서는 확실히 파악하고 있지 못한 기업들이 많습니다. 이 세션에서는 클라우드 도입의 여러가지 전략과 각 단계에 대해 살펴보도록 하겠습니다.
IDC and AWS Joint Webinar: Getting the most bang for your buck with EC2 Spot - Amazon Web Services
Learning Objectives:
• Learn best practices that enable more proactive, timely, and innovative applications
• Learn how to deliver more value to users and customers in the form of features and functionality that stem from having access to highly cost-effective compute resources
• Leverage lower compute costs to better compete on price and, as a result, win more business
Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. IDC will present a summary of the business value and best practices AWS customer have used to achieve five-year ROIs of 220% and 14% faster application delivery.
AWS Summit Kuala Lumpur - Opening Keynote by Dr. Werner VogelsAmazon Web Services
Opening Keynote – Dr. Werner Vogels, Chief Technology Officer, Amazon.com and AWS Customers
Thivanka Rangala, Chief Financial Officer at edotco Group
Arzumy MD, Chief Technology Officer at KFit
Subash Palaniappan, Head of Idea Design at Maybank Innovation
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 이종남 프로페셔널 컨설턴트가 진행한 강연입니다.
강연 요약: AWS 클라우드 도입 시 많은 엔터프라이즈 고객들이 가장 먼저 이전하는 것은 웹사이트와 모바일 애플리케이션이고, 그 다음으로 가장 중요한 비즈니스 서비스를 옮겨옵니다. SAP나 Oracle 같은 이런 서비스들은 매우 복잡하며 고객사 내부에서도 다양한 절차와 결합되어 있어 다른 내부 및 외부 서비스들과 연동된 하이브리드 솔루션의 형태로 배포되어 있기 마련입니다. 이러한 하이브리드 솔루션을 구축하기 위해서는 이전 세션에서 다룬 대로 기존의 온프레미스 네트워크와 클라우드 사이에 빠르고 안전한 네트워크 연결이 필요합니다. 이번 세션에서는 이러한 연결망을 구축하는 방법에 대해 조금 더 자세히 알아보고 AWS를 선택한 고객들이 자신들의 비즈니스 애플리케이션을 AWS에 연결해 얻게 된 이점에 대해 이해해 보시기 바랍니다.
AWS Summit Singapore 2019 | Opening Keynote with Peter DeSantisAWS Summits
Speaker: Peter DeSantis, Vice President, AWS Global Infrastructure and Customer Support.
AWS Customers:
Certis – Chua Chwee Koh, Chief Group Technology & Operations
Traveloka – Sergei Shvetsov, Head of Engineering
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In this series, we will cover:'Introduction to Cloud Computing with Amazon Web Services'.
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 APAC Principal Technology Evangelist인 Markku Lepisto가 진행한 강연입니다.
강연 요약: 클라우드 컴퓨팅은 기업들의 IT 서비스 소비와 생산 방식을 빠르게 변화시키고 있습니다. 일반적으로 큰 규모의 기업들은 클라우드 컴퓨팅의 가치를 잘 인식하고 있지만, 자신들의 사업에 적합하게 클라우드 컴퓨팅을 평가하고 도입할 방법에 대해서는 확실히 파악하고 있지 못한 기업들이 많습니다. 이 세션에서는 클라우드 도입의 여러가지 전략과 각 단계에 대해 살펴보도록 하겠습니다.
IDC and AWS Joint Webinar: Getting the most bang for your buck with EC2 Spot - Amazon Web Services
Learning Objectives:
• Learn best practices that enable more proactive, timely, and innovative applications
• Learn how to deliver more value to users and customers in the form of features and functionality that stem from having access to highly cost-effective compute resources
• Leverage lower compute costs to better compete on price and, as a result, win more business
Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. IDC will present a summary of the business value and best practices AWS customer have used to achieve five-year ROIs of 220% and 14% faster application delivery.
AWS Summit Kuala Lumpur - Opening Keynote by Dr. Werner VogelsAmazon Web Services
Opening Keynote – Dr. Werner Vogels, Chief Technology Officer, Amazon.com and AWS Customers
Thivanka Rangala, Chief Financial Officer at edotco Group
Arzumy MD, Chief Technology Officer at KFit
Subash Palaniappan, Head of Idea Design at Maybank Innovation
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 이종남 프로페셔널 컨설턴트가 진행한 강연입니다.
강연 요약: AWS 클라우드 도입 시 많은 엔터프라이즈 고객들이 가장 먼저 이전하는 것은 웹사이트와 모바일 애플리케이션이고, 그 다음으로 가장 중요한 비즈니스 서비스를 옮겨옵니다. SAP나 Oracle 같은 이런 서비스들은 매우 복잡하며 고객사 내부에서도 다양한 절차와 결합되어 있어 다른 내부 및 외부 서비스들과 연동된 하이브리드 솔루션의 형태로 배포되어 있기 마련입니다. 이러한 하이브리드 솔루션을 구축하기 위해서는 이전 세션에서 다룬 대로 기존의 온프레미스 네트워크와 클라우드 사이에 빠르고 안전한 네트워크 연결이 필요합니다. 이번 세션에서는 이러한 연결망을 구축하는 방법에 대해 조금 더 자세히 알아보고 AWS를 선택한 고객들이 자신들의 비즈니스 애플리케이션을 AWS에 연결해 얻게 된 이점에 대해 이해해 보시기 바랍니다.
AWS Summit Singapore 2019 | Opening Keynote with Peter DeSantisAWS Summits
Speaker: Peter DeSantis, Vice President, AWS Global Infrastructure and Customer Support.
AWS Customers:
Certis – Chua Chwee Koh, Chief Group Technology & Operations
Traveloka – Sergei Shvetsov, Head of Engineering
Understand the core concepts of “Cloud Computing” and 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. Whether you are an enterprise looking for IT innovation, agility and resiliency or small and medium business who wants to accelerate growth without a big upfront investment in cash or time for technology, the AWS Cloud provides a complete set of services at zero upfront costs which are available with a few clicks and within minutes.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing, attend this webinar. In this recorded webinar, we answer the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar: http://youtu.be/ybcV0sJ_T_I
In this presentation AWS Technical Evangelist Ian Massingham introduces the AWS Cloud, discusses the benefits that customers delivery when they make use of AWS and also covers the common patterns for adoption of AWS amongst established enterprises. He will also walk through a selection of the services that AWS provides and describe how you can use these to run your applications and other IT workloads.
Watch a recording of this presentation on YouTube here: http://youtu.be/oFFhVAaLqrg
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
Understand the core concepts of Cloud Computing. Whether you want to run applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to flexible and low cost IT resources.
Building Complex Workloads in Cloud - AWS PS Summit CanberraAmazon Web Services
In this session we will explore technologies & solutions to deploy ever increasing complex workload like High Performance Computing, Big Data and AI seamlessly to the cloud. You will hear from two strategic partners on how they have used AWS cloud and Intel technologies to accelerate innovation for their customers.
Speaker: Jason Jacobs, Industry Manager, ANZ Public Sector, Intel Corporation with Aileen Gemma Smith CEO, Vizalytics and Zack Levy, DevOps Partner, Deloitte Consulting
Serverless Kafka on AWS as Part of a Cloud-native Data Lake ArchitectureKai Wähner
AWS Data Lake / Lake House + Confluent Cloud for Serverless Apache Kafka. Learn about use cases, architectures, and features.
Data must be continuously collected, processed, and reactively used in applications across the entire enterprise - some in real time, some in batch mode. In other words: As an enterprise becomes increasingly software-defined, it needs a data platform designed primarily for "data in motion" rather than "data at rest."
Apache Kafka is now mainstream when it comes to data in motion! The Kafka API has become the de facto standard for event-driven architectures and event streaming. Unfortunately, the cost of running it yourself is very often too expensive when you add factors like scaling, administration, support, security, creating connectors...and everything else that goes with it. Resources in enterprises are scarce: this applies to both the best team members and the budget.
The cloud - as we all know - offers the perfect solution to such challenges.
Most likely, fully-managed cloud services such as AWS S3, DynamoDB or Redshift are already in use. Now it is time to implement "fully-managed" for Kafka as well - with Confluent Cloud on AWS.
Building a central integration layer that doesn't care where or how much data is coming from.
Implementing scalable data stream processing to gain real-time insights
Leveraging fully managed connectors (like S3, Redshift, Kinesis, MongoDB Atlas & more) to quickly access data
Confluent Cloud in action? Let's show how ao.com made it happen!
Translated with www.DeepL.com/Translator (free version)
Introduction to the AWS Cloud from Digital Tuesday MeetupIan Massingham
These are the slides that I used for my Introduction to AWS talk at the South Wales Digital Tuesday Meetup on the 2nd of December 2014.
Find out more about Digital Tuesday at their website here: http://www.digital-tuesday.com/
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
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.
4. The Start of Something New
“Bezos wants
Amazon to run the
messy technical and
logistical parts of
your business using
the same
technologies and
operations that
power his $10 billion
online store”
“Amazon is primed
to lead the
migration of
computing power
from the desktop to
the Net”
This theory will allow small
companies to spend most of
their time developing their
businesses, rather than
occupying themselves with the
‘undifferentiated muck’ of
buying servers, setting up
bandwidth contracts and the
like”
7. RELATIONAL
Amazon Aurora MySQL
Amazon Aurora PostgreSQL
P U R P O S E - B U I L T
Key value: Amazon DynamoDB
Document: Amazon DocumentDB
In-memory: Amazon Elasticache
Graph: Amazon Neptune
Time-series: Amazon Timestream
Ledger: Amazon QLDB
Databases
MIGRATION SERVICES
AWS Migration Hub
AWS Database Migration
Service
Amazon RDS for MySQL
Amazon RDS for PostgreSQL
Amazon RDS for MariaDB
Amazon RDS for Oracle
Amazon RDS for SQL Server
8. The most volume options
BLOCK OBJECT
6 storage classes
Best security, compliance,
and audit capabilities
Most object-level controls
Unmatched durability,
availability, and scalability
Unique analytics capabilities
FILE
The most cloud native
file systems (3)
4 performance modes
DATA TRANSFER
11 unique ways to get
data into AWS
Storage
2 storage classes
Resize elastically across all
volume types
Automate EBS volume
snapshots
9. ENCRYPTION & KEY MANAGEMENT
116 encryption enabled services
54 services integrated with key management
service
Global compliance certifications
CERTIFICATIONS
100% AWS services attested and GDPR ready
THREAT DETECTION/APP SECURITY
Threat detection
Machine Learning-
powered security
Web application firewall
DDOS protection
Fine-grained access control
Assessment & reporting
Configuration compliance
Resource & usage
auditing
Security
13. 140,000+ Databases Migrated
Migrate between on-prem and AWS
Migrate between databases
Automated schema conversion
Data replication for zero downtime
DATABASE
MIGRATION
17. Connect your on-prem
environments with AWS through
network options and services
Use your VMware software and
tools to run workloads on AWS
Run latency-sensitive workloads
on premises in a way that
seamlessly integrates with AWS
Run compute on the edge in locations
with limited or no connectivity
VMware Cloud
on AWS
Snowball Edge
Compute-Optimized
AWS
Outposts
H Y B R I D
AWS
Direct Connect
27. GET THE RIGHT PEOPLE
TECHNICAL
SKILL
PERSONALITY
CULTURE FIT
• Recruitment
• Training
• Sharing
• Communication
• Collaboration
• Authorization
28. DO THE RIGHT THINGS
• Business-critical
• Blocking
• Bottleneck
• Wrong direction
POLICY
TECHNOLOGY
BUSINESS
PROCESS
29. IN THE RIGHT WAY
STRATEGY
TECHNOLOGY
STACK
ARCHITECTURE
• Characteristics
• Technical skill
• Resource
• Limitation
30. AT THE RIGHT TIME
TECHNICAL DEBT BARE METAL
VIRTUAL MACHINE
CONTAINER
SERVERLESS
MONOLITH
MICROSERVICES
WORKAROUND
SOLUTION
ON-PREMISE
HYBRID
CLOUD
37. Amazon
Aurora
MySQL and PostgreSQL compatible
5X faster than standard MySQL and 3X PostgreSQL
Highly available and durable
1/10th the cost of commercial grade databases
Scaled-out distributed
architecture
38. Amazon Aurora remains the fastest-growing
service in the history of AWS
T E N S O F T H O U S A N D S O F C U S T O M E R S , 2 X C U S T O M E R G R O W T H F O R L A S T 3 Y E A R S
39. Amazon
ElastiCache
f o r R ed is & M em cac h ed
In-Memory
Amazon
Neptune
Graph Time-Series
Amazon
Timestream
Ledger
Amazon
QLDB
Amazon
DynamoDB
Key Value
Amazon
DocumentDB
Document
wi t h M o n g o DB c o m p a tibil ity
The most complete family of purpose-built databases
43. A fully-managed Ledger database
that provides a transparent,
immutable, cryptographically
verifiable transaction log owned
by a central trusted authority.
LEDGER
Amazon
QLDB
The evolution of databases for all your application needs
44. Amazon Managed
Blockchain
Create and manage scalable blockchain
networks
Choose Hyperledger Fabric (AVAILABLE
TODAY) or Ethereum (COMING SOON)
Create blockchain networks with a few
clicks; manage them with simple API calls
Scales to support thousands of applications
running millions of transactions
Secured by AWS Key Management Service
Improved reliability of Ordering Service
with QLDB technology
45.
46.
47.
48. THE MOST POPULAR CHOICE FOR DATA LAKES
Unmatched durability,
availability, and scalability
Cross
Region
Replication
Best security, compliance,
and audit capabilities
Easiest to use
storage classes
Analyze exabytes of data in S3 with
the analytics service of your choice
Most ways to bring data in
Amazon S3
49. Move, store, catalog, and clean your data
faster with machine learning
Enforce security policies across multiple
services
Gain and manage new insights
AWS Lake
Formation
A secure service that allows you to build
a secure data lake in days
P R E V I E W
50. VISUALIZATION & ML ANALYTICS DATA LAKE DATA MOVEMENT
Amazon
QuickSight
Amazon
SageMaker
Amazon
Redshift
Amazon
EMR
AWS
Glue
Amazon
Athena
Amazon
Elasticsearch
Service
Amazon Kinesis
Data Analytics
Amazon
S3
Amazon Lake
Formation
AWS
Glue
AWS
Snowmobile
AWS
Snowball
Amazon Kinesis
Data Firehose
Amazon Kinesis
Data Streams
Amazon Managed
Streaming for Kafka
AWS
Direct Connect
AWS
Storage Gateway
Amazon Kinesis
Video Streams
Amazon S3
Transfer
Acceleration
AWS Transfer
for SFTP
AWS
Snowball Edge
Broadest and deepest data and analytics portfolio
51. Amazon
Redshift
Petabyte-scale data warehousing for
complex queries and fast performance
Pull together data from different sources
Highly structured
Complex queries across very large databases
10x faster average customer query times
53. Sources: McKinsey & Co., Inc., Statista
car lightbulb
bicycle
door lock
camera
factory
cart
coffee pot house
bank
windfarmpolice
equipment
plane utilitymedical
equipment
thermostat
Source: Statista.com
75 billionC O N N E C T E D D E V I C E S
online by:
2025
The source of data is increasing
coming from billions of edge devices
54. AWS IoT Device SDK
Amazon FreeRTOS
AWS IoT Device Tester
AWS IoT Greengrass
AWS IoT Events
AWS IoT Analytics
AWS IoT SiteWise
AWS IoT Device Management
AWS IoT Things Graph
AWS IoT Core
AWS IoT Device Defender
AWS has the most complete platform for IoT
61. AI Services
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D L E XR E K O G N I T I O N
V I D E O
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
A m a z o n
S a g e M a k e r
Ground Truth Notebooks Algorithms + Marketplace RL Training Optimization Deployment Hosting
F R A M E W O RKS I N T E R F A CE S
EC2
C5 FPGAs Greengrass
Elastic
inference Inferentia
EC2
G4
EC2 P3
& P3n
Deep learning
containers
I N F R A S T RU C T U R E
ML Frameworks
+ Infrastructure
62. F R A M E W O RKS I N T E R F A CE S
EC2
C5 FPGAs Greengrass
Elastic
inference Inferentia
EC2
G4
EC2 P3
& P3n
Deep learning
containers
I N F R A S T RU C T U R E
P3dn instances
Scale model training
performance across
multiple instances
P3dn.24xl
3X faster network throughput than any other provider
2X as much GPU memory than any other
GPU instance from other major providers
100+ GB more system memory than the next
largest instance available from other providers
Best price/performance
for model training
P 3 P3dn
EC2 P3
& P3dn
I N F R A S T RU C T U R E
Infrastructure and frameworks for Machine Learning
ML Frameworks
+ Infrastructure
63. F R A M E W O RKS I N T E R F A CE S
EC2
C5 FPGAs Greengrass
Elastic
inference Inferentia
EC2
G4
EC2 P3
& P3n
Deep learning
containers
I N F R A S T RU C T U R E
Best price/performance
for model training
P 3 P3dn
ML Frameworks
+ Infrastructure
FRAMEWORKS INTERFACES
Infrastructure and frameworks for Machine Learning
65. 65%
Scaling efficiency
with 256 GPUs
S T OC K T E N S ORFL OW
90%
Scaling efficiency
With 256 GPUS
AW S - OPT IMZ E D T E N S ORFL OW
Train twice as fast with TensorFlow
67. COMING LATE 2019
Add GPU acceleration to any Amazon EC2
instance for faster inference at much lower cost
(up to 75% savings)
Amazon
Elastic Inference
Custom high performance machine learning inference
chip that will reduce the cost of inference by 10X
AWS
Inferentia
COMING SOON
Designed for machine learning, training, inference
and video transcoding
Amazon EC2
G4 Instances
68. F R A M E W O RKS I N T E R F A CE S
EC2
C5 FPGAs Greengrass
Elastic
inference Inferentia
EC2
G4
EC2 P3
& P3n
Deep learning
containers
I N F R A S T RU C T U R E
ML Frameworks
+ Infrastructure
AI Services
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D L E XR E K O G N I T I O N
V I D E O
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
A m a z o n
S a g e M a k e r
Ground Truth Notebooks Algorithms + Marketplace RL Training Optimization Deployment Hosting
69. Bringing machine
learning to all
developers
Amazon
SageMaker
Built-in, high
performance
algorithms and
frameworks
MORE THAN 200 ADDITIONAL
ALGORITHMS AND MODELS IN AWS
MARKETPLACE
REDUCE DATA LABELING COSTS
BY UP TO 70%
Fully-managed
reinforcement
learning algorithms
with SageMaker RL
TRAIN MODELS WITHOUT LABELED
TRAINING DATA
BUI LD
COLLECT AND PREPARE
TRAINING DATA
Fast and accurate
data labeling with
Ground Truth
Pre-built notebooks
for common problems
70. SET UP AND MANAGE
ENVIRONMENTS FOR TRAINING
HYPERPARAMETER OPTIMIZATION
AND SAGEMAKER NEO
TRAI N
Built-in, high
performance
algorithms and
frameworks
MORE THAN 150 ADDITIONAL
ALGORITHMS AND MODELS IN AWS
MARKETPLACE
REDUCE DATA LABELING COSTS
BY UP TO 70%
Fully-managed
reinforcement
learning algorithms
with SageMaker RL
TRAIN MODELS WITHOUT LABELED
TRAINING DATA
BUI LD
COLLECT AND PREPARE
TRAINING DATA
OptimizationOne-click
training
Fast and accurate
data labeling with
Ground Truth
Pre-built notebooks
for common problems
Bringing machine
learning to all
developers
Amazon
SageMaker
71. SET UP AND MANAGE
ENVIRONMENTS FOR TRAINING
HYPERPARAMETER OPTIMIZATION
AND SAGEMAKER NEO
TRAI N D E P LO Y
SCALE AND MANAGE THE
PRODUCTION ENVIRONMENT
DEPLOY MODEL
IN PRODUCTION
Built-in, high
performance
algorithms and
frameworks
MORE THAN 150 ADDITIONAL
ALGORITHMS AND MODELS IN AWS
MARKETPLACE
REDUCE DATA LABELING COSTS
BY UP TO 70%
Fully-managed
reinforcement
learning algorithms
with SageMaker RL
TRAIN MODELS WITHOUT LABELED
TRAINING DATA
BUI LD
FAST AND ACCURATE DATA LABELING
WITH GROUND TRUTH
OptimizationOne-click
training
One-click
deployment
Fully managed with
auto-scaling, health
checks, automatic
handling of node failure,
and security checks
Fast and accurate
data labeling with
Ground Truth
Pre-built notebooks
for common problems
Bringing machine
learning to all
developers
Amazon
SageMaker
72. More than ten thousand customers using Amazon SageMaker
73. F R A M E W O RKS I N T E R F A CE S
EC2
C5 FPGAs Greengrass
Elastic
inference Inferentia
EC2
G4
EC2 P3
& P3n
Deep learning
containers
I N F R A S T RU C T U R E
ML Frameworks
+ Infrastructure
AI Services
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D L E XR E K O G N I T I O N
V I D E O
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
A m a z o n
S a g e M a k e r
Ground Truth Notebooks Algorithms + Marketplace RL Training Optimization Deployment Hosting
74. R E K O G N I T I O N
I M A G E A N D V I D E O
T E X T R A C T
Deep learning based image and
video analysis services
Identify objects, people text,
scenes, activities
Automatically extract text
and data from virtually any
document
Uses ML to go beyond simple
OCR to also identify content
in forms and tables
D O G
9 9 . 3 %
B A L L
8 3 . 0 %
G R A S S
8 9 . 2 %
75. A M A Z O N
P O L L Y
52 Voices across 25 languages
Lip-Syncing & Text Highlighting
Fine-grained Voice Control
A M A Z O N
T R A N S C R I B E
Support for 16KHz and 8KHz
Streaming support
A M A Z O N
T R A N S L A T E
24 language pairs
Neural machine translation
High accuracy
A M A Z O N
C O M P R E H E N D
Sentiment, Entities, Key
phrases, Languages, Topics
A M A Z O N
L E X
Build conversational
apps in minutes
A M A Z O N
C O M P R E H E N D
M E D I C A L
Build conversational
apps in minutes
76. Accurate time-series forecasting
service, based on the same
technology used at Amazon.com
Amazon
Forecast
Real-time personalization and
recommendation service, based on the
same technology used at Amazon.com
Amazon
Personalize
P R E V I E W
77. Ways to get started
Brainstorming
Custom modeling
Training
Work side-by-side with Amazon experts
Practical education on ML for new
& experienced practitioners
Based on the same material used
to train Amazon developers
78. Purpose-built for ML-skills development
Fully programmable & customizable
Build custom Amazon SageMaker models
10-minutes to your first deep learning project
The world’s first deep learning-enabled video camera for developers
79. Build machine learning models
in Amazon SageMaker
Train, test, and iterate on the track using the
AWS DeepRacer 3D racing simulator
Compete in the world’s first global autonomous
racing league, to race for prizes and a chance to
advance to win the coveted AWS DeepRacer Cup
A fully autonomous
1/18th-scale race car
designed to help you
learn about reinforcement
learning through
autonomous driving
AWS DeepRacer
80.
81. Build reinforcement learning model
DeepRacer League Races at AWS Summits
Winners of each DRL Race and top scorers compete
in Championship Cup at re:Invent 2019
World’s first global autonomous racing league