This document provides an overview and summary of Amazon Web Services (AWS) file storage options, including Amazon Elastic File System (Amazon EFS) and Amazon FSx for Windows File Server. It discusses the key features and use cases of each service. It also provides guidance on choosing the right file storage solution based on an application's needs and examples of how customers can use AWS file storage for specific workloads.
Si stima che i clienti abbiamo in totale 256 EB di file shares in locale. La gestione di questi file systems è onerosa e comporta problematiche sia di budget (CAPEX) che di operation (gestione, scalabilità, data protection). Tipicamente gli apparati NAS locali devono essere sostituiti ogni 3-5 anni, obbligando i clienti a fare un capacity planning pluriennale e richiedendo un progetto a sè stante per la migrazione dati.
Il passaggio al cloud di AWS consente ai clienti di pagare esattamente la quantità di spazio di archiviazione di file di cui hanno bisogno ora, senza costi o vincoli iniziali e ridimensionare la capacità necessaria durante la crescita dei dati senza dover stimare in anticipo di quanto avranno bisogno. Sfruttando soluzioni di file completamente gestite come Amazon FSx per Windows File Server, FSx Backup, i clienti non devono più preoccuparsi del sovraccarico amministrativo di impostazione, protezione, manutenzione e backup della propria infrastruttura di file.
La recente apertura della regione italiana MXP apre a nuovi scenari di hybrid cloud per la parte filesystem/SMB share.
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.
Si stima che i clienti abbiamo in totale 256 EB di file shares in locale. La gestione di questi file systems è onerosa e comporta problematiche sia di budget (CAPEX) che di operation (gestione, scalabilità, data protection). Tipicamente gli apparati NAS locali devono essere sostituiti ogni 3-5 anni, obbligando i clienti a fare un capacity planning pluriennale e richiedendo un progetto a sè stante per la migrazione dati.
Il passaggio al cloud di AWS consente ai clienti di pagare esattamente la quantità di spazio di archiviazione di file di cui hanno bisogno ora, senza costi o vincoli iniziali e ridimensionare la capacità necessaria durante la crescita dei dati senza dover stimare in anticipo di quanto avranno bisogno. Sfruttando soluzioni di file completamente gestite come Amazon FSx per Windows File Server, FSx Backup, i clienti non devono più preoccuparsi del sovraccarico amministrativo di impostazione, protezione, manutenzione e backup della propria infrastruttura di file.
La recente apertura della regione italiana MXP apre a nuovi scenari di hybrid cloud per la parte filesystem/SMB share.
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.
Hosting scalable applications on Amazon S3 and making them globally availiable via Amazon Cloudfront has never been easier, in this presentation we'll dig into getting more insights from your static hosted website by logging CloudFront to S3 and then using the power and scale of Lambda to push those logs into Amazon Elasticsearch Service for deep analysis.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
by Kwesi Edwards, Business Development Manager, AWS
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines. Level 300
How Western Union Implemented Security Measures at Scale on AWS with Dome9 Amazon Web Services
How do you enhance the security of your AWS environment and maintain it even as you rapidly grow your footprint and scale operations? This was the question that the security and operations teams at Western Union faced as they built out their presence on the AWS Cloud. They discovered that Dome9 Arc delivered visibility and control over their cloud assets, as well as proactive compliance management.
Automate the Provisioning of Secure Developer Environments on AWS PPTAmazon Web Services
Providing development and engineering teams with access to cloud resources introduces challenges around deploying the proper security policies. Organizations need automated security solutions that enable their engineers to spin up their own secure environments for application development with a push of a button. Join our upcoming webinar with Palo Alto Networks, REAN Cloud, and AWS, to learn how organizations are leveraging Palo Alto Networks VM-Series and REAN Cloud to build a simple, fast, and automated solution on AWS that helps provision secure environments for developers.
This session will help you to get basic understanding of the AWS platform and discuss the core services of Infrastructure, compute, network and storage components. In addition, we will discuss the higher level managed services that will allow you to focus on your core business and leave the heavy lifting to AWS.
There are legacy enterprise Microsoft applications still running on premises, Microsoft SharePoint, Dynamics, Exchange, SQL server or .NET applications. To best realize the benefits of cloud, these applications must be modernized using cloud native approaches to become scalable, secure and fault tolerant. The webinar covers how to refactor and modernize Microsoft applications, explore methods to integrate with AWS managed services for identity federation, databases, monitoring and containers to achieve agility, security and elasticity.
Sriwantha Attanayake, Partner Solution Architect, Amazon Web Services
Digital platforms are by nature resource intensive, expensive to build, and difficult to manage at scale. What if we can change this perception and help AWS customers architect a digital platform that is low cost and low maintenance? This session describes the underlying architecture behind a Digital Asset Management system powered by AWS abstracted services like AWS Lambda, Amazon CloudFront, and Amazon DynamoDB. We will deep into an approach to microservices architecture on serverless environments and demonstrate how anyone can architect AWS abstracted services to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
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.
David Green, AWS Enterprise Solutions Architect, presents us with typical requirements for Media, Content, and Broadcast workloads, and how they are solved using AWS Cloud storage products. Customer stories are presented in this contest. Understand how Sony DADC, Theory Studios and others implemented their solutions using the AWS Cloud.
Thinking through how you want to run Microsoft Windows Server and application workloads on AWS is straightforward, when you have a game plan. Understanding which service to leverage– like Amazon EC2, Amazon RDS, and Directory Services to name a few – will accelerate the process further. There are also a number of new enhancements to help make things even easier. In this session we will walk through how to think about mapping to the various AWS services available so you can get your deployment or migration project off to the right start. Think of this session as the decoder ring between your on-premises deployment and what you can expect from the AWS cloud for your Microsoft Windows Server and applications.
Building and Managing Scalable Applications on AWS: 1 to 500K usersAmazon Web Services
This presentation session from the Cloud Management, Services and Applications Theatre at Cloud Expo Europe 2014 explores the techniques and AWS services that you can use in order to build high scalability web applications on AWS. It also features a great overview of a high-scalability mobile application built by Myriad Group, and AWS customer, that serves over 41 million users.
Getting Started with the Hybrid Cloud: Enterprise Backup and RecoveryAmazon Web Services
This sessions is for architects and storage admins seeking simple and non-disruptive ways to adopt cloud platforms in their organizations. You will learn how to deliver lower costs and greater scale with nearly seamless integration into your existing B&R processes. Services mentioned: S3, Glacier, Snowball, 3rd party partners, storage gateway, and ingestion services.
AWS re:Invent 2016: Deep Dive on Amazon Elastic File System (STG202)Amazon Web Services
In this session, we fill you in about Amazon EFS, including an overview of this recently introduced service, its use cases, and best practices for working with it.
In this session we will review Amazon EFS and how it delivers fully managed, petabyte-scale file storage for Amazon EC2 instances. Large scale and consistent performance make Amazon EFS ideal for web and content serving, enterprise applications, media processing, container storage, and Big Data analytics use cases. Session attendees will learn how to identify appropriate applications for use with Amazon EFS, understand performance details and security models, and hear how established customers are using it in production. The target audience is file system administrators, application developers, and application owners that operate or build file-based applications that require consistent latencies at cloud scale. Learn More: https://aws.amazon.com/government-education/
Hosting scalable applications on Amazon S3 and making them globally availiable via Amazon Cloudfront has never been easier, in this presentation we'll dig into getting more insights from your static hosted website by logging CloudFront to S3 and then using the power and scale of Lambda to push those logs into Amazon Elasticsearch Service for deep analysis.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
by Kwesi Edwards, Business Development Manager, AWS
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines. Level 300
How Western Union Implemented Security Measures at Scale on AWS with Dome9 Amazon Web Services
How do you enhance the security of your AWS environment and maintain it even as you rapidly grow your footprint and scale operations? This was the question that the security and operations teams at Western Union faced as they built out their presence on the AWS Cloud. They discovered that Dome9 Arc delivered visibility and control over their cloud assets, as well as proactive compliance management.
Automate the Provisioning of Secure Developer Environments on AWS PPTAmazon Web Services
Providing development and engineering teams with access to cloud resources introduces challenges around deploying the proper security policies. Organizations need automated security solutions that enable their engineers to spin up their own secure environments for application development with a push of a button. Join our upcoming webinar with Palo Alto Networks, REAN Cloud, and AWS, to learn how organizations are leveraging Palo Alto Networks VM-Series and REAN Cloud to build a simple, fast, and automated solution on AWS that helps provision secure environments for developers.
This session will help you to get basic understanding of the AWS platform and discuss the core services of Infrastructure, compute, network and storage components. In addition, we will discuss the higher level managed services that will allow you to focus on your core business and leave the heavy lifting to AWS.
There are legacy enterprise Microsoft applications still running on premises, Microsoft SharePoint, Dynamics, Exchange, SQL server or .NET applications. To best realize the benefits of cloud, these applications must be modernized using cloud native approaches to become scalable, secure and fault tolerant. The webinar covers how to refactor and modernize Microsoft applications, explore methods to integrate with AWS managed services for identity federation, databases, monitoring and containers to achieve agility, security and elasticity.
Sriwantha Attanayake, Partner Solution Architect, Amazon Web Services
Digital platforms are by nature resource intensive, expensive to build, and difficult to manage at scale. What if we can change this perception and help AWS customers architect a digital platform that is low cost and low maintenance? This session describes the underlying architecture behind a Digital Asset Management system powered by AWS abstracted services like AWS Lambda, Amazon CloudFront, and Amazon DynamoDB. We will deep into an approach to microservices architecture on serverless environments and demonstrate how anyone can architect AWS abstracted services to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
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.
David Green, AWS Enterprise Solutions Architect, presents us with typical requirements for Media, Content, and Broadcast workloads, and how they are solved using AWS Cloud storage products. Customer stories are presented in this contest. Understand how Sony DADC, Theory Studios and others implemented their solutions using the AWS Cloud.
Thinking through how you want to run Microsoft Windows Server and application workloads on AWS is straightforward, when you have a game plan. Understanding which service to leverage– like Amazon EC2, Amazon RDS, and Directory Services to name a few – will accelerate the process further. There are also a number of new enhancements to help make things even easier. In this session we will walk through how to think about mapping to the various AWS services available so you can get your deployment or migration project off to the right start. Think of this session as the decoder ring between your on-premises deployment and what you can expect from the AWS cloud for your Microsoft Windows Server and applications.
Building and Managing Scalable Applications on AWS: 1 to 500K usersAmazon Web Services
This presentation session from the Cloud Management, Services and Applications Theatre at Cloud Expo Europe 2014 explores the techniques and AWS services that you can use in order to build high scalability web applications on AWS. It also features a great overview of a high-scalability mobile application built by Myriad Group, and AWS customer, that serves over 41 million users.
Getting Started with the Hybrid Cloud: Enterprise Backup and RecoveryAmazon Web Services
This sessions is for architects and storage admins seeking simple and non-disruptive ways to adopt cloud platforms in their organizations. You will learn how to deliver lower costs and greater scale with nearly seamless integration into your existing B&R processes. Services mentioned: S3, Glacier, Snowball, 3rd party partners, storage gateway, and ingestion services.
AWS re:Invent 2016: Deep Dive on Amazon Elastic File System (STG202)Amazon Web Services
In this session, we fill you in about Amazon EFS, including an overview of this recently introduced service, its use cases, and best practices for working with it.
In this session we will review Amazon EFS and how it delivers fully managed, petabyte-scale file storage for Amazon EC2 instances. Large scale and consistent performance make Amazon EFS ideal for web and content serving, enterprise applications, media processing, container storage, and Big Data analytics use cases. Session attendees will learn how to identify appropriate applications for use with Amazon EFS, understand performance details and security models, and hear how established customers are using it in production. The target audience is file system administrators, application developers, and application owners that operate or build file-based applications that require consistent latencies at cloud scale. Learn More: https://aws.amazon.com/government-education/
SRV401 Deep Dive on Amazon Elastic File System (Amazon EFS)Amazon Web Services
In this session we will review Amazon EFS and how it delivers fully managed, petabyte-scale file storage for Amazon EC2 instances. Large scale and consistent performance make Amazon EFS ideal for web and content serving, enterprise applications, media processing, container storage, and Big Data analytics use cases. Session attendees will learn how to identify appropriate applications for use with Amazon EFS, understand performance details and security models, and hear how established customers are using it in production. The target audience is file system administrators, application developers, and application owners that operate or build file-based applications that require consistent latencies at cloud scale.
Deep Dive on Amazon Elastic File System - June 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Recognize why and when to use Amazon EFS and the economic benefits versus other solutions
- Understand key technical, performance, and security concepts
- See Amazon EFS in action with live demo
The vast majority of applications and workloads interact with data storage via a file system interface and require file system semantics. As businesses move to the cloud they require storage resources that integrates with their existing applications and tools. In this technical session, we will explore file storage with Amazon Elastic File System (Amazon EFS) and its targeted use cases. Attendees will learn about the Amazon EFS features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in our most common use cases and will share tips for success throughout.
Deep Dive on Elastic File System - February 2017 AWS Online Tech TalksAmazon Web Services
Organizations face significant challenges moving their applications to the cloud when they require a standard file system interface for accessing their cloud data. In this technical session, we will explore the world’s first cloud-scale file system and its targeted use cases. Attendees will learn about the Amazon Elastic File System (EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in one of our most common use cases and will share tips for success throughout.
Learning Objectives:
• Recognize why and when to use Amazon EFS
• Understand key technical/security concepts
• Learn how to leverage EFS’s performance
• See a demo of EFS in action
• Review EFS’s economics
Review of how AWS EC2 storage options have evolved, and making the right selection for your workload. Covering Amazon Elastic Block Storage, EBS and Amazon Elastic File System, EFS.
SRV401 Deep Dive on Amazon Elastic File System (Amazon EFS)Amazon Web Services
In this session we will review Amazon EFS and how it delivers fully managed, petabyte-scale file storage for Amazon EC2 instances. Large scale and consistent performance make Amazon EFS ideal for web and content serving, enterprise applications, media processing, container storage, and Big Data analytics use cases. Session attendees will learn how to identify appropriate applications for use with Amazon EFS, understand performance details and security models, and hear how established customers are using it in production. The target audience is file system administrators, application developers, and application owners that operate or build file-based applications that require consistent latencies at cloud scale.
(STG306) EFS: How to store 8 Exabytes & look good doing itAmazon Web Services
In this session we will review the world’s first cloud-scale network attached file system and its targeted use cases. Session attendees will learn about EFS’s benefits, how to identify applications that are appropriate for use with EFS, and details about its performance and security models. The target audience is file system administrators, application developers, and application owners that operate or build file-based applications.
In this session we will explore the world’s first cloud-scale file system and its targeted use cases. Session attendees will learn about EFS’s benefits, how to identify applications that are appropriate for use with EFS, and details about its performance and security models. The target audience is file system administrators, application developers, and application owners that operate or build file-based applications.
STG307_Deep Dive on Amazon Elastic File System (Amazon EFS)Amazon Web Services
In this session, we explore the world’s first cloud-scale file system and its targeted use cases. Learn about Amazon EFS features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and applications owners who operate or build file-based applications.
In this session we will review Amazon EFS and how it delivers fully managed, petabyte-scale file storage for Amazon EC2 instances. Large scale and consistent performance make Amazon EFS ideal for web and content serving, enterprise applications, media processing, container storage, and Big Data analytics use cases. Session attendees will learn how to identify appropriate applications for use with Amazon EFS, understand performance details and security models, and hear how established customers are using it in production. The target audience is file system administrators, application developers, and application owners that operate or build file-based applications that require consistent latencies at cloud scale.
AWS re:Invent 2016: Case Study: How Spokeo Improved Web Application Response ...Amazon Web Services
At Spokeo, we are running a fast, big data, and high-traffic website providing people search services. But at our scale, we started to reach limitations to how fast our conventional web stack could do things and concluded that a Ruby on Rails–only solution simply couldn't keep up. In this session, we cover some of the options we had to solve this problem and why we chose Amazon Elastic File System (Amazon EFS) as a central part of our solution with metrics and benchmarking. Using EFS, we were able to take response times down from 250 ms to below 70 ms. We look into the architecture of the solution and lessons we learned along the way. In the end, we find that faster response times are just the beginning of the benefits that we see.
Simple, Scalable and Highly Durable NAS in the Cloud – Amazon EFSAmazon Web Services
Come learn how to get started with a scalable file system with a simple interface for use with Amazon EC2 instances in the AWS Cloud. We’ll cover the basics and go through customer use cases to illustrate key features. We will walk through active demos that show you how EFS supports application workflows.
AWS re:Invent 2016: Case Study: How Atlassian Uses Amazon EFS with JIRA to Cu...Amazon Web Services
At Atlassian, we create popular software tools to help every team unleash their full potential. We use our issue tracking tool JIRA to handle customer support issues from around the globe. As the business grew, we decided to move from a single server instance of JIRA to our JIRA Data Center product on AWS infrastructure to increase reliability, scale, and security. JIRA Data Center's requirement to use a shared file system caused us to try several in-house and third-party solutions prior to the availability of Amazon Elastic File System (Amazon EFS). We chose EFS for its performance, ease of use, automatic scaling, and out-of-the-box distribution capabilities. In this session, we discuss how Atlassian uses EFS to run JIRA Data Center. Topics include the technical architecture, how and why we chose EFS, our recommendations, and the lessons learned along the way.
Protecting your Microsoft Workloads with High Availability and ReliabilityAmazon Web Services
Backing up Windows workloads can be a challenge, and cumbersome for many companies. Backup and recovery for Windows workloads on AWS, however, can be easy. This session will cover best practices for backup and recovery, how to configure Windows workloads to back up to AWS; pitfalls to look out for; and recommended reference architectures.
Learn how to get started with a scalable file system with a simple interface for use with Amazon EC2 instances in the AWS Cloud. We’ll cover the basics, go through customer use cases to illustrate key features, and run active demos that show you how EFS supports application workflows.
Amazon EFS: Leverage the Power of a Distributed Shared File System in the Clo...Amazon Web Services
This workshop will show solutions architects how to take advantage of a petabyte scale distributed file system for various application workloads like analytics, web serving & content management, backup and disaster recovery, enterprise applications, and Docker containers.
This workshop will cover how to best use a shared distributed file system to support e-commerce applications like Magento, content management systems like WordPress and Drupal, shared storage environments for your Docker containers, simplify the setup and management of Atlassian Jira, use it as a backup target for databases, and parallelize the migration of data into and out of an Amazon EFS file system.
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.
Durante i laboratori pratici, gli esperti AWS ti mostrano quali strumenti aiutano a sviluppare le applicazioni Serverless in locale e nel cloud AWS e ti aiuteranno a programmare i prossimi passi per iniziare ad utilizzare questa tecnologia nella tua azienda.
2. Agenda
Introduction to AWS file storage
What are Amazon Elastic File System (Amazon EFS) and Amazon FSx
for Windows File Server?
Key features of Amazon EFS and Amazon FSx
Deep dive on Amazon EFS and Amazon FSx
3. Your digital transformation is a journey
AWS meets you where you are today—and tomorrow
Security
Cost optimizationPerformance
Availability Modernization
EdgeData services
Data lake Analytics
Vertical solutionsAI/ML
Real time
Maximize your
business results
BusinessArchitecture
Increase agility and
ability to innovate
Improve fundamentals:
security, availability,
performance, and cost
Infrastructure
4. Fully managed cloud file systems
Amazon
EFS
Amazon FSx for
Windows File Server
Amazon FSx
for Lustre
File systems for business workloads
File system for
compute-intensive workloads
Linux-based workloads Windows-based workloads
Fully managed file
storage for Windows
Fully managed cloud-native file system
for Linux-based applications
Fully managed Lustre file system for
compute-intensive workloads
Compute-intensive workloads
AWS provides file system options that help you easily address
the diverse needs of your file-based applications and workloads
5. Manage hardware
Procure and purchase hardware
Set up storage servers and volumes
Detect and address hardware failures
Invest capital expenditure (capex)
Manage software
What “fully managed” means
What you no longer need to do
6. Highly reliable
Amazon EFS is a fully managed file system that is…
Amazon EFS: Network file system (NFS) evolved
Cost optimizedCloud native
10. Analytics
Media workflows
Lift-and-shift
enterprise applications
Web serving
Content management
Database backups
Home directories
Container storage
Application test
and development
Scale-out jobsMetadata-intensive jobs
High-throughput and parallel I/OLow-latency and serial I/O
Use cases for Amazon EFS
11. What is Amazon FSx for Windows File Server?
Broadly
accessible
Fully managed
Windows file storage
12. Amazon FSx for Windows File Server use cases
Home
directories
Line-of-business
applications
Web serving and
content management
Software
development
environments
NEW!
High availability
SQL Server
databases
Backup and
disaster
recovery
NAS lift-and-shift
NEW!
14. New: Amazon ECS and AWS Fargate support for
Amazon EFS
Simple: All Amazon EFS configuration is inside the
Amazon ECS task definition, and connectivity is handled
behind the scenes
Serverless: AWS Fargate tasks can now leverage shared
persistent storage
Secure: Access to file systems can be authorized by IAM,
and access to data can be controlled by Amazon EFS
access points
16. Amazon EFS IA: Storage class for infrequently accessed files
for an effective price as low as $0.08/GB per month*
Amazon EFS Infrequent Access (IA)
Automated
lifecycle
management
*Pricing in the US East (N. Virginia) Region
Cost
savings up
to 92%
No changes to existing
applications using
Amazon EFS
17. Enabling Amazon EFS lifecycle management
Infrequently
accessed files are
automatically
moved to
Amazon EFS IA
Enable lifecycle
management,
choose lifecycle
policy
All Amazon EFS
features are
supported with
Amazon EFS IA
Lifecycle policies can be configured to 7, 14, 30, 60, or 90 days since last access
18. Restricting EFS access using an IAM resource policy
NFS client
Stunnel
process
Kernel NFS
client
EFS mount helper
Orchestrates
Amazon EFS
(file system)
IAM
IAM credentials
{
"Statement" : {
"Effect" : "allow",
"Action" : "elasticfilesystem:Nfs*",
"Principal" : { "AWS": "myrole" }
}
}
19. FSx for Windows File Server deployment options
Replicates
data within an
Availability Zone
Continually monitors
and addresses
hardware failures
Single-AZ Multi-AZ
Replicates
data across
Availability Zones
Automatically fails
over across
Availability Zones
Replicates
data within an
Availability Zone
Continually monitors
and addresses
hardware failures
20. FSx for Windows File Server storage options
SSD HDD
Highest performance Lowest cost
Flexibility to choose throughput independent of file system size
21. Effective storage cost with data deduplication
Per GB-month
Typical savings from deduplication for general file shares is 50%–60%
HDD-based storage
SSD-based storage
Single-AZ Multi-AZ
22. Example TCO
Storage requirements
• 10 TB of storage
• With deduplication, 50% of storage needed
• Deployment type: Multi-AZ
• Storage type: HDD
File system component Total cost
Storage (Multi-AZ, HDD, 5 TB at $0.025/GB-mo) $128
Throughput capacity (16 MB/s at $4.50/MBps-mo) $72
Total cost (excluding backups) $200/month (or $0.02/GB-mo)
Backups (5 TB at $0.05/GB-mo) $256
Total cost (including backups) $456/month (or $0.04/GB-mo)
Throughput requirements
16 MB/s sustained, 100 MB/s burst
Backup requirements
Expected backup storage usage:
1x storage capacity
23. Data deduplication
Large Windows-based datasets often contain significant duplication,
which increases storage costs
User shares (home directories)
Multiple users have many copies or versions of a file
Software development shares
Most portions of binaries remain unchanged from build to build
Use data deduplication to reduce costs associated with duplicated data
Scenario Content Typical space savings
User documents Office documents, photos, music, and videos 30%–50%
Software
development shares
Software binaries, build files, and program symbols 70%–80%
General file shares Mix of the above 50%–60%
25. Amazon EFS: High availability for containers
Examples
Jira
Artifactory
Git
Jupyter
JupyterHub
Availability Zone Availability Zone
EFS mount
target
EFS mount
target
Amazon EFS
(file system)
Active Active
https://aws.amazon.com/blogs/storage/best-practices-for-using-amazon-efs-for-container-storage/
26. Shared storage for NFS-based scale-out applications
Examples
Machine learning
training (MXNet,
TensorFlow)
Analytics
Containerized
applications
Availability Zone Availability Zone
EFS mount
target
EFS mount
target
Amazon EFS
(file system)
27. Region
Instances
fs-0123456789.example.comA-F
VPC
Subnet 2
Availability Zone A
fs-9876543210.example.comN-Z
Availability Zone X
Subnet N
Namespace
server 2
example.comcorp
A-F
G-M
N-Z
3x read/write
performance
fs-5678901234.example.comG-M
Availability Zone B
Namespace
server 1
Subnet 1
Scaling out storage & performance with DFSN for Windows workloads
Demo: https://www.youtube.com/watch?v=s482kj_xMeE
28. Availability Zone 2Availability Zone 1
AWS Region
SQL Server
FCI primary
SQL Server
FCI secondary
Automatic failover
fs-0123456789.example.com
Amazon FSx: Support for SQL Server HA deployments
• Supports SMB transparent
failover (aka continuously
available shares)
• Use Amazon FSx to store
databases and logs for SQL
Server Always On Failover
Cluster Instance (FCI)
deployments
• No need to deploy,
manage, and pay license
fees for storage replication
software solutions
VPC
https://docs.aws.amazon.com/fsx/latest/WindowsGuide/sql-server.html
29. Secure and
compliant
One-time migrations
or ongoing transfers
AWS
integrated
Flexible
Multiple protocols (NFS, SMB) and
destinations (FSx for Windows File Server,
Amazon EFS, Amazon S3)
Fast
Parallelized transfer, 10 Gbps per agent,
scale-out with multiple agents
Automated
No scripts; does validation,
filtering, throttling, scheduling
AWS DataSync
Easily and efficiently transfer hundreds of terabytes and millions of files
30. Learn storage with AWS Training and Certification
45+ free digital courses cover topics related to cloud
storage, including
Resources created by the experts at AWS to help you build cloud storage skills
Classroom offerings, such as Architecting on AWS, feature
AWS expert instructors and hands-on activities
• Amazon S3
• AWS Storage Gateway
• Amazon S3 Glacier
• Amazon EFS
• Amazon EBS
Visit the storage learning path at https://aws.training/storage
Hi Everyone, Thank you so much for your time!
If you are interested in evaluating what it means to build a data lake on AWS, or on your way to building your analytics platform on AWS and just keen to explore some possible architectural patterns, and best practices, this session is for you.
My name is Kumar Nachiketa, a storage partner solutions architect at AWS. And today, I am going to discuss and demonstrate ways to build a data lake with Amazon S3 being a core component. I am super excited about sharing this with you.
How can you transform faster with AWS file storage solutions?
We see three common patterns on why customers choose AWS to transform their organization. In summary, customers are looking to transform their IT infrastructure, transform their application architectures, or transform their business results.
EFS:
Easily shared between multiple applications, instances, and on-premises servers simultaneously
Achieve petabyte scale from a distributed design that avoids the constraints imposed by traditional file servers
FSx for Windows:
Built on Windows Server with native support for Windows file system features you use today
SSD storage for high throughput, IOPS, and sub-millisecond latencies
FSx for Lustre:
Built on the highly popular, open source parallel file system Lustre
Process data at hundreds of GB of throughput per second, millions of IOPs, and sub-millisecond latencies. For scratch/short-lived or long-lived/self-healing workloads (recently introduced at re:Invent).
Probably something that almost everyone in the audience can relate to is that managing file servers is a lot of work.
Before the cloud, [Manage hardware]
Well, now we have the cloud. If managing file servers on AWS, you don’t need to worry about the hardware piece, but you still need to manage the software…
Let’s start by talking about what is Amazon Elastic File System (or Amazon EFS).
Amazon EFS is Network File System evolved.
It is a fully-managed shared file system, that is cloud native, highly reliable, and cost optimized.
Cloud native – simple, elastic, scalable, and integrated with cloud services like ECS, EKS, and SageMaker
Highly reliable – highly available and durable, secure, global footprint, 99.9% SLA
Cost optimized – no provisioning, no commitments, and built-in lifecycle management to optimize between an SSD-performance class and an infrequent access class that is 92% lower cost
Cloud Native
Grow & shrink on demand
No need to provision and manage infrastructure & capacity
Pay as you go, payonly for what you use
Shared access from on-premises, inter region, and cloud native applications
Integrated with various AWS computing models
Access concurrently from thousands of Amazon EC2 instances
Attach to containers launched by both Amazon ECS and EKS
Use with Amazon SageMaker notebooks
Highly Reliable/ Scalable
Stores data across three availability zones for high availability and durability
Amazon EFS isavailable in 19 regions
New regions recently added: Bahrain, Sao Paulo, Stockholm, Hong Kong
Grow up to petabytes
Performance modes for low latencies and maximum I/O
Throughput that scales with storage
Provisioned throughput available
Cost-optimized
And that’s exactly what we did. Amazon EFS Infrequent Access or EFS IA is a new storage class that can save customers up to 92% compared to the pre-existent EFS storage class, which we’re now calling EFS Standard.
Customers can use EFS IA to cost-effectively store larger amounts of data in their file systems, and expand their use of EFS to an ever wider set of applications.
Using EFS IA is super easy. It doesn’t require any changes to existing applications, as EFS provides a single file system namespace that transparently serves files from both storage classes – Standard and IA.
To get data into EFS IA, you enable a the Lifecycle Management capability for your file system that automatically moves files into IA, and by doing so, you can save up to 92% compared to the EFS Standard storage class.
Note: EFS-IA can be enabled for any existing EFS file system simply by selecting the lifecycle management option in the EFS console
Before we dive deeper into these core tenets, let’s talk about why Amazon EFS, lets talk about it’s use cases.
Cloud Native
Grow & shrink on demand
No need to provision and manage infrastructure & capacity
Pay as you go, payonly for what you use
Shared access from on-premises, inter region, and cloud native applications
Integrated with various AWS computing models
Access concurrently from thousands of Amazon EC2 instances
Attach to containers launched by both Amazon ECS and EKS
Use with Amazon SageMaker notebooks
Highly Reliable/ Scalable
Stores data across three availability zones for high availability and durability
Amazon EFS isavailable in 19 regions
New regions recently added: Bahrain, Sao Paulo, Stockholm, Hong Kong
Grow up to petabytes
Performance modes for low latencies and maximum I/O
Throughput that scales with storage
Provisioned throughput available
COST OPTIMIZD
And that’s exactly what we did. Amazon EFS Infrequent Access or EFS IA is a new storage class that can save customers up to 92% compared to the pre-existent EFS storage class, which we’re now calling EFS Standard.
Customers can use EFS IA to cost-effectively store larger amounts of data in their file systems, and expand their use of EFS to an ever wider set of applications.
Using EFS IA is super easy. It doesn’t require any changes to existing applications, as EFS provides a single file system namespace that transparently serves files from both storage classes – Standard and IA.
To get data into EFS IA, you enable a the Lifecycle Management capability for your file system that automatically moves files into IA, and by doing so, you can save up to 92% compared to the EFS Standard storage class.
Note: EFS-IA can be enabled for any existing EFS file system simply by selecting the lifecycle management option in the EFS console
Before we dive deeper into these core tenets, let’s talk about why Amazon EFS, lets talk about it’s use cases.
We also designed EFS to serve the vast majority of file-based workloads, covering a wide spectrum of performance needs.
This spectrum runs from highly parallelized, scale out jobs – those workloads that require the highest possible throughput – things like big data applications, and media workflows,
To single-threaded, latency-sensitive workloads, and everything in between.
So what is it?
FSx for Windows File Server provides fully managed, native Windows file systems…
…with a service that is deeply integrated with AWS
On April 8th we announced native integration between ECS and EFS, including Fargate. Compared to what you could do before, there are three main differences. First, using EFS with ECS is much simpler: you configure EFS inside your ECS task definition, and don’t worry at all about what happens under the hood. Next, for the first time you can use EFS from AWS Fargate, which means you now have persistence for serverless containers. Last, we’ve added new security capabilities, namely the ability to use IAM to authorize access to your file system based on your task role, and control access to data using EFS Access Points.
Now when you look at overall benefits of ECS and EFS working together, in addition to the simplicity, serverless, and security there are additional benefits.
Availability and Durability: Both EFS and ECS are regional services, which means they run across all availability zones in a region. With EFS, data is durable across at least 3 availability zones, and available from all zones. With ECS, clusters span as many AZs as you configure. The end result is your application can be scheduled across multiple AZs and share data as if they’re local to each other.
Elasticity: this should be of no surprise given that Elastic Container Service and Elastic File System have elastic in the name. This fact means that as your application needs to scale-out, this combination of services instantly provides additional compute and storage capacity. This means you always pay for what you use, and you don’t need to forecast usage, overprovision, or get slowed down when you run out of capacity.
[Our 1st file system launched in 2016 was Amazon Elastic File System (EFS).
Designed to provide a cloud-scale file system for the vast majority of Linux-based workloads. Today EFS serves 100,000’s of customers in all AWS regions.]
We built EFS to be cloud-scale (Elastic), simple (set and forget), cost-effective, performant.
On April 1 we announced General Purpose mode file systems support up to 35,000 read operations per second, a 400% increase from the previous limit of 7,000. Maximum write operations are unchanged at 7,000 per second. Link: https://aws.amazon.com/about-aws/whats-new/2020/04/amazon-elastic-file-system-announces-increase-in-read-operations-for-general-purpose-file-systems/
General Purpose mode (GP mode) is the default performance mode for Amazon EFS. It offers the lowest per-operation latency and is the recommended choice for most applications. Amazon EFS also offers the Max I/O performance mode which can scale to higher levels of aggregate throughput and supports over 500,000 operations per second with slightly higher metadata latencies than GP mode.
Amazon EFS IA: Storage class for infrequently accessed files for $0.025/GB per month* - assuming 80% of your files are colder for use with Amazon EFS IA, and 20% using EFS Standard, that equates to a BLENDED, or effective price of $0.08/GB-month!!
EFS IA -- 92% savings compared to EFS Standard
OK, so let’s talk a little bit about how EFS IA works at a high level.
First, you create a file system. EFS file systems transparently serve data from both storage classes, providing a common file system namespace, so you don’t have to worry about which of your files are actively used and which are infrequently accessed.
Next, you enable EFS Lifecycle Management for your file system. With EFS Lifecycle Management enabled, any files that aren’t accessed per the lifecycle policy (14, 30, 60 and 90 days) are automatically moved into the Infrequent Access storage class. So in having both these capabilities, the IA storage class and Lifecycle Management, we’re eliminating the need to manually manage your data to optimize for cost.
Today you can use IAM identity policies to control what EFS administrative APIs a user has access to.
IAM Authorization for NFS Clients will allow customers to manage NFS client access and permissions for an EFS file system using AWS IAM. It adds an additional layer of security on top of EFS’s current network-based access controls and provides often-requested security features such as root squashing, read-only access, and the ability to enforce TLS.
With IAM authorization for NFS clients, we are adding three actions that allow you to control NFS client access to your file systems, adding ClientMount (permission to mount as read-only), ClientWrite (permission to read and write), and ClientRootAccess (permission to read and write as the root user).
For those times you need more granular policies we are adding file system resource policies. These policies make it easy to specify which exact users have read, write, or root access to a particular file system.
On the one hand, today’s SSD devices provide more IOPS per dollar, more throughput per gigabyte, and lower latency than today’s HDD devices. On the other hand, continued density improvements in HDD technology drive the cost per gigabyte down, but also reduce the effective throughput per gigabyte.
And with HDD, we offer the LOWEST COST WINDOWS FILE STORAGE IN THE CLOUD. And offer other ways th e
We also two weeks ago announced data deduplication, removes portions of files that are redundant across your data set, typical savings for general file shares is 50-60%.
Call out with HDD $0.025 for MAZ = lowest cost Windows File Storage in the cloud (even before data dedup )
Works at the sub-file level
Uses post-processing optimization to minimize performance impact
Removes duplicated content and compresses common content
Use remote management PowerShell CLI on your file system to…
Enable/disable Data Deduplication
Customize schedule for deduplication jobs
Monitor how much savings you’re achieving with deduplication
Let’s take a deeper look into two key use cases for Amazon EFS- container storage and scale out workloads and some of the latest features
Stateful containers store data in shared storage
Scale container instances without reconfiguring the file system
No need to monitor or provision storage as your persistent storage grows
Supports rapid failover and event based provisioning
Proximity to other container and dev/ops services
For customers running analytics, EFS can be a great option. EFS is a POSIX compliant file system, so applications that can access data over NFS can utilize EFS with no code modification required. For example, if you are running analytics against an on premises or built in the cloud NFS file store, your application is seamlessly portable to EFS. Additionally, there are many data sources feeding analytics applications that understand how to write to a file system. This may be lab equipment in the healthcare and life sciences world, or machine data in manufacturing. For these applications, having a common interface where data can be written, transformed if needed, then analyzed provides ease of use and flexibility. Additionally, since EFS provides a scalable, decoupled datastore accessible from thousands of EC2 instances simultaneously, processing analytics jobs can be done quickly and efficiently providing businesses with faster time to insights from their data.
So FSX Windows file server server supports maximum up-to 64 TB filesystem size. However you can scale out the throughput by using Microsoft's Distributed File System (DFS) Namespaces. You can use DFS Namespaces to group file shares on multiple file systems into one common folder structure (a namespace) that you use to access the entire file dataset. DFS Namespaces can help you to organize and unify access to your file shares across multiple file systems.
Also, DFS Namespaces help to scale file data storage beyond what each file system supports (64 TB) for large file datasets—up to hundreds of petabytes.you can scale performance up to tens of gigabytes per second of throughput, with millions of IOPS, across hundreds of petabytes of Windows-based file data.
With Multi-AZ file systems, we now support a type of SMB share called a CA share. With CA shares…
AWS DataSync is a data transfer service that makes it easy for you to automate moving data between on-premises storage and Amazon S3, Amazon EFS, or Amazon FSx for Windows File Server. DataSync automatically handles many of the tasks related to data transfers that can slow down migrations or burden your IT operations, including running your own instances, handling encryption, managing scripts, network optimization, and data integrity validation.
Fast
You can use DataSync to transfer data at speeds up to 10 times faster than open source tools.
Automated
DataSync automates both the management of data transfer processes and the infrastructure required for high-performance, secure data transfer. The service also includes automatic encryption and data validation. All of this minimizes the in-house development and management otherwise needed for fast, reliable, and secure transfers.
One-time migrations or on-going transfers
The service enables one-time data migrations, recurring data processing workflows, and automated replication for data protection and recovery.
Flexible
DataSync supports flexible configurations to suit your specific needs, including bandwidth throttling, copying source permissions and metadata.
AWS integrated
Getting started with DataSync is easy: Deploy the DataSync agent on-premises, connect it to a file system or storage array, select Amazon EFS, Amazon S3, or Amazon FSx for Windows File Server as your AWS storage, and start moving data.
Secure & compliant
All of your data is encrypted in transit and at rest, and for each transfer, the service performs integrity checks. These checks ensure that the data written to your destination matches the data read from your source, validating consistency. DataSync also makes sure that your data arrives securely, intact, and ready to use.