面對日新月異的大數據工具,有時候很難跟上這節奏。有鑑於此,Amazon Web Services提供了廣泛而完善的雲端運算服務組合,幫助您構建、維護和部署大數據應用程式。
這場線上研討會,將為各位深入淺出介紹AWS 雲端平台提供的各種大數據選項,包括現正流行的大數據框架,如Hadoop、Spark、NoSQL數據庫等,同時透過使用案例來瞭解最佳實踐方式。最後,您將了解如何應用這些工具服務,將大數據導入您的現實應用程式中。
With hundreds of new and sometimes disparate tools, it’s hard to keep pace. Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications.
Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, cases to avoid, performance, interfaces, and more. Finally, learn how you can build valuable applications with a real-life example.
This webinar will familiarize you with the basics of AWS IoT and AWS Lambda and demonstrate how to build IoT backends using these services. AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you.
We will discuss how you can leverage AWS IoT to receive data and send commands to IoT devices. You will learn how to setup device gateways that trigger AWS Lambda functions to process inbound data from IoT devices. You will also learn how to use Lambda to read and write to Amazon DynamoDB, a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale.
Learning Objectives:
Understand key AWS IoT and AWS Lambda and AWS IoT features
Learn how to set up a IoT backend using AWS IoT and AWS Lambda
Explore sample use cases, best practices, and tips on using AWS Lambda with AWS IoT
Who Should Attend:
IoT Developers
面對日新月異的大數據工具,有時候很難跟上這節奏。有鑑於此,Amazon Web Services提供了廣泛而完善的雲端運算服務組合,幫助您構建、維護和部署大數據應用程式。
這場線上研討會,將為各位深入淺出介紹AWS 雲端平台提供的各種大數據選項,包括現正流行的大數據框架,如Hadoop、Spark、NoSQL數據庫等,同時透過使用案例來瞭解最佳實踐方式。最後,您將了解如何應用這些工具服務,將大數據導入您的現實應用程式中。
With hundreds of new and sometimes disparate tools, it’s hard to keep pace. Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications.
Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, cases to avoid, performance, interfaces, and more. Finally, learn how you can build valuable applications with a real-life example.
This webinar will familiarize you with the basics of AWS IoT and AWS Lambda and demonstrate how to build IoT backends using these services. AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you.
We will discuss how you can leverage AWS IoT to receive data and send commands to IoT devices. You will learn how to setup device gateways that trigger AWS Lambda functions to process inbound data from IoT devices. You will also learn how to use Lambda to read and write to Amazon DynamoDB, a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale.
Learning Objectives:
Understand key AWS IoT and AWS Lambda and AWS IoT features
Learn how to set up a IoT backend using AWS IoT and AWS Lambda
Explore sample use cases, best practices, and tips on using AWS Lambda with AWS IoT
Who Should Attend:
IoT Developers
AWS re:Invent 2016 : announcement, technical demos and feedbacksEmmanuel Quentin
Slides of our intervention with Mathieu Mailhos about re:Invent 2016 :
- Annoucements
- Technical demonstration of Athena, monitoring via Lambda and step function
- Feedbacks
Scripts available here : https://gist.github.com/manuquentin/adee523b60a4723e9e4819ea69713ab6
How to use big data to improve a EC platform is a hot topic. In this session, we will discuss some big data case studies in retail and EC, and introduce how to create a recommendation service with Amazon Machine Learning.
AWS re:Invent 2016: Internet of Things (IoT) Edge and Device Services (IOT202)Amazon Web Services
AWS IoT edge and device services make it easy to get started and scale quickly along with your business needs. Medical equipment, industrial machinery, building automation, and simple device to trigger services, are just a few physical-world use cases that are benefiting from elastic cloud computing while meeting the local execution requirements and real time responsiveness. This session covers the intersection between the device and cloud industries, and the way AWS and our customers will shape the future of those industries together. We will showcase how our customers are using AWS IoT Button, the IoT Device SDKs, and other AWS services to improve the existing business models, invent new way of working, and balance the benefits of the cloud services with the need for local execution.
This session will cover common customer implementations and patterns for building connected/smart home implementations with AWS IoT. This includes the end-user experience for onboarding a smart home appliance and then integrating it with the AWS ecosystem (for targeted push notifications, predictive maintenance, and so on). iRobot will join us to discuss their smart home integrations with the Roomba 980 and AWS IoT.
AWS September Webinar Series - Building Your First Big Data Application on AWS Amazon Web Services
The Big Data ecosystem is moving so fast that is nearly impossible to keep pace. Meanwhile, the strong demand for high analytical and data management skills will continue to grow. So, how can you get up to speed?
Join us for this webinar where we will help you get ramped up on how to use Amazon’s Big Data web services. In just 50 minutes, we will build a Big Data application using Amazon Elastic MapReduce and other AWS Big Data Services. In addition, we will review best practices and architecture design patterns for Big Data. Attending re:Invent? One more reason not to miss this webinar, as it will help you get ready for some of our Big Data deep dives!
Learning Objectives:
Learn about key AWS Big Data services including Amazon S3, Amazon EMR, Amazon Kinesis, and Amazon Redshift
Learn about Big Data architectural patterns
How to ingest data to Amazon S3
How to start an Amazon EMR cluster
Help those attending re:Invent to get up to speed with Big Data services
Who Should Attend:
Architects and developers, interested in starting a Big Data initiative
AWS re:Invent 2016: Driving Innovation with Big Data and IoT (GPSST304)Amazon Web Services
With unforeseen competitive threats and potential market disruptions, enterprises are seeking to innovate for the benefit of their customers. Business transformation in the digital age requires the successful use of new technologies including the cloud, IoT, and Big Data. Attend this session to learn more about how AWS can help organizations innovate faster around IoT and Big Data. We dive into specific opportunities and approaches for managing billions of connected devices and associated big data workloads on the cloud.
Amazon EC2 F1 is a new compute instance with programmable hardware for application acceleration. With F1, you can directly access custom FPGA hardware on the instance in a few clicks.
Learning Objectives:
• Learn about the capabilities, features, and benefits of the new F1 instances
• Develop your FPGA using the F1 Hardware Developer Kit and FPGA Developer AMI
• Deploy your FPGA acceleration code using F1 instances
• Use F1 instances for hardware acceleration in your applications
• Learn how to offer pre-packaged Amazon FPGA Machine Images (AFIs) to your customers through the AWS Marketplace
AWS re:Invent is the largest global gathering of the Amazon Web Services community held in Las Vegas. Our five-day 2016 agenda, which is comprised of over 400 breakout sessions and attracted over 32,000 attendees, offers expanded opportunities to learn about AWS solutions, how the cloud impacts your business, including deep dives into hot topics including IoT and AI, new perspectives on cloud issues, and more chances to learn from the experts.
Not able to attend? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 19, 2017. Packed into a one-day format, AWS re:Invent 2016 Recap Hong Kong will showcase the key products, services, and enhancements recently announced in Las Vegas; Including new services for Big Data & Analytics, Architecture, Developers and Enterprises, etc. Local AWS customers are also invited to share their post re:Invent perspectives and ongoing successes with AWS so you can learn more from their successful stories.
Come join us at this event to hear new AWS product announcements addressed by the AWS Team!
Creating Your Virtual Data Center: VPC Fundamentals and Connectivity OptionsAmazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
In the presentation titled "Redefining Customer Experience Solutions in the Wave of Transformation," Tony, a consultant from CKmates International, discusses the challenges and solutions in crafting customer experiences amidst the digital transformation wave. The focus is on leveraging technology to meet evolving customer needs, emphasizing the importance of innovation for businesses to stand out in a competitive landscape.
The presentation is divided into three main sections:
Challenges in Crafting Customer Experience:
Traditional views on customer experience as a back-office concern are challenged by the digital transformation wave.
Enterprises face difficulties highlighted by market research data and stories of challenges encountered by both customers and service personnel.
Amazon Connect Cloud Customer Service Platform:
Introduction of Amazon Connect as a solution to address challenges in customer experience.
Emphasis on how Amazon Connect's features can enhance customer service, providing a seamless and scalable solution.
Assistance from CKmates in Cloud Adoption:
CKmates' role in assisting businesses to smoothly transition to the cloud.
The need for businesses to align with customer expectations in the rapidly advancing technological environment.
Contributions to the Community:
The presentation contributes by shedding light on the critical shift in the perception of customer experience in the era of digital transformation. It provides insights into the challenges faced by enterprises and introduces Amazon Connect as a robust solution. The emphasis on cloud adoption assistance from CKmates aligns with the evolving needs of businesses, offering practical strategies for improving customer service. This knowledge-sharing benefits the community by offering a roadmap for leveraging technology to redefine and enhance customer experiences.
ChinaNetCloud talk on Operations-as-a-Service at AWS China Summit 2015 in Shanghai. Covers OaaS cases, technology, and AWS.
Given December 17th, 2015, in Shanghai, in Chinese by Yinan Gu.
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.
8. AWS Positioned as a Leader in the Gartner Magic Quadrant
for Cloud Infrastructure as a Service, Worldwide*
AWS is positioned
highest in execution
and furthest in
vision within the
Leaders Quadrant
*Gartner, Magic Quadrant for Cloud Infrastructure as a Service, Worldwide, Leong, Lydia, Petri, Gregor, Gill, Bob, Dorosh, Mike, August 32016
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from AWS : http://www.gartner.com/doc/reprints?id=1-2G2O5FC&ct=150519&st=sb
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and
should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
9. Data Backups
Integrated App
Deployments
Direct
Connect
Identity
Federation
Integrated Resource
Management
Integrated
Networking
VMware
Integration
MARKETPLACE
Business
Apps
Databases
DevOps
Tools
NetworkingSecurity Storage
Business
Intelligence
INFRASTRUCTURE
Availability
Zones
Points of
Presence
Regions
CORE SERVICES
Compute
VMs, Auto-scaling, Load
Balancing, Containers, Cloud
functions
Storage
Object, Blocks, File,
Archivals,
Import/Export
Databases
Relational, NoSQL,
Caching, Migration
CDN
Networking
VPC, DX,
DNS
Access Control
Identity
Management
Key Management
& Storage
Monitoring
& Logs
SECURITY & COMPLIANCE
Resource &
Usage Auditing
Configuration
Compliance
Web application
firewall
Assessment and
reporting
TECHNICAL & BUSINESS SUPPORT
Support
Professional
Services
Account
Management
Partner
Ecosystem
Solutions
Architects
Training &
Certification
Security &
Billing Reports
Optimization
Guidance
ENTERPRISE APPS
Backup
Corporate
Email
Sharing &
Collaboration
Virtual
Desktops
IoT
Rules
Engine
Registry
Device
Shadows
Device
Gateway
Device
SDKs
DEVELOPMENT & OPERATIONSMOBILE SERVICESAPP SERVICESANALYTICS
Data
Warehousing
Hadoop/
Spark
Streaming Data
Collection
Machine
Learning
Elastic
Search
Push
Notifications
Identity
Sync
Resource
Templates
One-click App
Deployment
Triggers
Containers
DevOps Resource
Management
Application Lifecycle
Management
API
Gateway
Transcoding
Queuing &
Notifications
Email
Workflow
Search
Streaming Data
Analysis
Business
Intelligence
Mobile
Analytics
Single Integrated
Console
Mobile App
Testing
Data
Pipelines
Petabyte-Scale
Data Migration
Database
Migration
Schema
Conversion
Application
Migration
MIGRATION
HYBRID ARCHITECTURE
功能最齊全而且可靠的雲端基礎設施平台
15. Things you must know
• Market strength
• Market Cap ($360B) (1st Apple, 2nd Google)
• 10B rev. in 2016 (est.) PE ratio = 173
• Operation Margin 29.9% (16/Q2)
• Scale = 15 X SUM(2nd,15th)
• Value Propositions • Market Leadership (2016 Gartner MG)
16. Even stronger
• Expansion
• Event attendees 5X growth
• CAGR 20% on a mega base (2016/2015)
• Evangelists all over US (full house)
• Non-IT Customized Infra.
• Marine Cable
• Server/Network/Storage
• SwitchGear, IC, Mobile
Snowball
• IaaS PaaS (Infra doesn’t matter ?!)
• All the infra. things are taken care of
• IT users simply want AWS-like solutions
17. How MediaTek leverages AWS
• FOTA (Firmware Over The Air)
• 1~2B devices globally
• Within 24 hours
• IoT solutions w/ boundary
• Development
• Deployment
• Data analytics
• Computing Farm
• Demand surge
• Special purpose machine (1TB
memory, GPU…)
18. How to ride the tide
• Mindset shift for bigger opportunity/challenge
• Standing on the shoulders of giants
• David vs Goliath
• A decision tree for adoption
• Technical feasibility
• Security/Regulation
• CapEx vs OpEx
• IT upgrade
• Build up AWS skills
• App developer is the hottest IT job in US
21. “Key message will be to show our commitments
to provide more services which our customers
need on the cloud. Customer obsession.”
--- AWS Evangelist
30. Takeaways
• Serverless is everywhere.
• EBC is your good friend.
• Nearly every service has some company’s backup.
• Let’s play as customers hardly!
32. AWS re:Invent – 新產品發表
數據分析
Amazon Athena
AWS Glue
應用程式服務
AWS Step Functions
容器
Blox
人工智慧
Amazon Lex
Amazon Polly
Amazon Rekognition
計算
Amazon EC2 C5
Amazon EC2 Elastic GPUs
Amazon EC2 F1
Amazon EC2 I3
Amazon EC2 R4
Amazon EC2 T2
Amazon Lightsail
AWS Batch
Amazon EC2 Systems Manager
C# Support on Lambda
Lambda@Edge
資料庫
Amazon Aurora with
PostgreSQL Compatibility
開發工具
AWS CodeBuild
AWS X-Ray
混合雲
AWS Greengrass
AWS Snowball Edge
VMware on AWS Cloud
安全
AWS Shield
管理工具
AWS Personal
Health Dashboard
AWS OpsWorks
for Chef Automate
遷移
AWS Snowmobile
行動服務
Amazon Pinpoint
33. Elastic GPUs On EC2
P2M4 D2 X1 G2T2 R4 I3 C5
General Purpose
GPUGeneral Purpose
Dense storage Large memory
Graphics
intensive
Memory intensive High I/O
Compute intensiveBurstable
Lightsail
Simple VPS
F1
FPGAs
AWS 提供新的執行個體類型
Elastic GPU
for EC2
在EC2執行個體中
使用GPU運算,像
EBS磁碟區一樣
Amazon
Lightsail
在雲端上啟用Virtual
Private Servers
(VPS)
F1 執行個體類
型
利用可客製化的
FPGA環境執行自訂
的程式邏輯
34. 3. 設定名字
Amazon Lightsail: 在AWS快速建立VPS
按 下 ‘ C r e a t e i n s t a n c e ’ ,
就 完 成 !
2. 選取大小
最 大 8 G i B , 2 v C P U s ,
8 0 G i B S S D
1. 選擇映像檔
可 以 選 擇 L i n u x ,
W o r d p r e s s , M a g n e t o ,
D r u p a l , J o o m l a 等 網 路 工 具
35. $5
Per month
建立VM 加入SSD 存儲 建立Security
Groups
管理IAM 建立靜態 IP
Create Instance
Created By Amazon Lightsail
設定DNS
GO!
Amazon Lightsail: 在AWS快速建立VPS
40. F1系列執行個體提供硬體加速
FPGA Images Available In AWS Marketplace
F1 Instance
W ith your custom
logic running on an
FPGA
Develop, simulate,
debug
& compile your code
Package as
FPGA Images
46. Amazon Aurora: 具有商用資料庫的速度與
可用性,同時又有開源的成本效益
Up To 5x Performance
Of High-end MySQL
Highly Available
and Durable
MySQL
Compatible
1/10th The Cost Of
Commercial Grade Databases
Fastest Growing
AWS Service, Ever
47. 將資料庫搬移到 AWS 的情境
14,000+
資料庫已搬移
Migrate between
on-prem and AWS
Migrate between
databases
Automated schema
conversion
Data replication for
zero downtime migrations
48. 1/10th The Cost Of
Commercial Grade
Databases
Fully PostgreSQL
Compatible
Several times better
performance than typical
PostgreSQL database
Scalable,
Durable and Secure
Migrate From
RDS For PostgreSQL
Amazon Aurora PostgreSQL - 相容版本