AWS offers numerous services to migrate data at a petabyte scale. You can easily move large volumes of data from onsite to the cloud and utilize the cloud as a backup target using data transfer services, such as AWS Snowball, AWS Snowball Edge, or AWS Storage Gateway. Learn about available data migration options and which one is the right fit for your requirements.
by Henry Zhang, Sr. Product Manager, AWS
Compared to storing long-term datasets on-premise, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategies and meeting compliance needs using Amazon Glacier.
Deep Dive on Data Archiving in Amazon S3 & Amazon Glacier, with Special Guest...Amazon Web Services
Learn about ways to archive data for compliance or cost savings, and balance retrieval speed and cost to fit your specific use case. We examine concepts such as active archiving (archive storage with fast retrieval times), compliance archiving, and many more.
by Dave Stein, Business Development Manager, AWS
Discover how EBS can take your application deployments on EC2 to the next level. You will learn service features and benefits, how to identify applications that are appropriate for use with EBS, best practices, and details about its performance and volume types.
FINRA uses big data and data science technologies to detect fraud, market manipulation, and insider trading across US capital markets. As a financial regulator, FINRA analyzes highly sensitive data, so information security is critical. Learn how FINRA secures its Amazon S3 Data Lake and its data science platform on Amazon EMR and Amazon Redshift, while empowering data scientists with tools they need to be effective. In addition, FINRA shares AWS security best practices, covering topics such as AMI updates, micro segmentation, encryption, key management, logging, identity and access management, and compliance.
STG311_Deep Dive on Amazon S3 & Amazon Glacier Storage ManagementAmazon Web Services
Learn best practices for Amazon Simple Storage Service (Amazon S3) performance optimization, security, data protection, storage management, and much more. Learn how to optimize key naming to increase throughput, apply the appropriate AWS Identity and Access Management (IAM) and encryption configurations, and leverage object tagging and other features to enhance security.
AWS Data Transfer Services - AWS Gateway, AWS Snowball, AWS Snowball Edge, an...Amazon Web Services
by Everett Dolgner, Business Development Manager, AWS
AWS offers a suite of tools to help you surmount limitations associated to data migration from on premise to the cloud. Attend this session to learn about moving data by using networks, roads, and AWS technology partners. We will also discuss how to move data into and out of the Cloud in batches, increments, and streams.
ABD212 sap hana the foundation of sap’s digital core no notesAmazon Web Services
"Learn how customers are leveraging AWS to better position their enterprises for the digital transformation journey. In this session, you hear about: operations and process; the SAP transformation journey including architecting, migrating, running SAP on AWS; complete automation and management of the AWS layer using AWS native services; and a customer example. We also discuss the challenges of migration to the cloud and a managed services environment; the benefits to the customer of the new operating model; and lessons learned. By the end of the session, you understand why you should consider AWS for your next SAP platform, how to get there when you are ready and some best practices to manage your SAP systems on AWS.
session sponsored by DXC Technology"
This document provides an overview of AWS storage services including EBS, EFS, S3, Glacier and data transfer options. It discusses block storage with EBS volumes, file storage with EFS, and object storage with S3 and Glacier. It also covers services for moving large amounts of data like Snowball, Direct Connect, and Storage Gateway. Use cases and architectures for databases, applications, analytics and backup/recovery are reviewed.
Public sector IT teams, similar to those in the commercial sector, face the daunting task of meeting ever-increasing storage demand from users with status quo budget. Cloud provides scale out storage with a pay-as-you-go pricing, but how can you take its advantage without rewriting your applications and impacting the current storage experience? AWS Storage Gateway provides a swift path to using cloud storage without disrupting your business workflows and storage experience. AWS Storage Gateway enables a wide variety of hybrid storage uses cases such as backup and archiving, disaster recovery, cloud data processing, storage tiering, and migration. In this session, you will learn about File, Volume, and Tape configurations of the AWS Storage Gateway family, and their features and benefits. You will also hear from our customers how they use AWS Storage Gateway to overcome their on-premises storage challenges and chart paths to using cloud for storage and processing.
This document summarizes a presentation on data lifecycle and storage management techniques for Amazon S3. It discusses lifecycle management rules for transitioning or expiring objects based on age, S3 inventory for listing objects, object tagging for classification and policy filtering, storage class analysis for monitoring usage and optimizing storage, and monitoring tools like CloudWatch and CloudTrail. The presentation provides an overview and best practices for these S3 management features.
Increasingly, valuable customer data sources are dispersed among on-premises data centers, SaaS providers, partners, third-party data providers, and public datasets. Building a data lake on AWS offers a foundation for storing on-premises, third-party, and public datasets cost effectively with high performance. This workshop introduces AWS tools and technologies you can use to analyze and extract value from petabyte-scale datasets, including Amazon Athena and Amazon Redshift Spectrum.
by Everett Dolgner, Business Development Manager, AWS
AWS offers numerous services to migrate data at a petabyte scale. You can easily move large volumes of data from onsite to the cloud and utilize the cloud as a backup target using data transfer services, such as AWS Snowball, AWS Snowball Edge, or AWS Storage Gateway. Learn about available data migration options and which one is the right fit for your requirements.
ABD304-R-Best Practices for Data Warehousing with Amazon Redshift & SpectrumAmazon Web Services
This document provides an overview and best practices for using Amazon Redshift and Redshift Spectrum for data warehousing. It covers the history and development of Redshift, key concepts like columnar storage, compression, sorting and distribution styles. It provides examples and recommendations for table design, workload management, and query optimization techniques.
Building Hybrid Cloud Storage Architectures with AWS @scaleAmazon Web Services
The document discusses building hybrid cloud storage architectures with AWS. It provides an overview of AWS storage services including Amazon S3, Glacier, EBS, and EFS. It also describes the AWS Storage Gateway family of on-premises appliances that enable hybrid storage between on-premises and AWS cloud storage. Specifically, it covers the File Gateway for accessing S3 storage as files, Volume Gateway for iSCSI volumes, and Tape Gateway for migrating tape backups to S3.
Improving Backup & DR – AWS Storage Gateway - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand how AWS Storage Gateway works to enable application recoveries on EC2
- Determine which type of storage gateway makes sense for your different backup and DR needs
- Learn how to connect your applications and backup systems to AWS
Disaster Recovery Best Practices and Customer Use Cases: CGS and HealthQuestAmazon Web Services
This document provides an agenda for a CloudEndure presentation at an AWS storage day event. The agenda includes an introduction to CloudEndure and how it works with AWS, enterprise disaster recovery strategies, a deep dive into CloudEndure's DR technology and demo, customer case studies, and a Q&A session. It discusses CloudEndure's key technology pillars for OS-based continuous replication and disaster recovery benefits like cost reductions and recovery objectives. The document also includes case studies of how CloudEndure helped customers like CGS and HealthQuest implement DR solutions on AWS to reduce costs and improve recovery times. It promotes CloudEndure DR and migration products available on AWS Marketplace and provides a call to action to become a CloudEnd
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn’t as clear as it was ten years ago. In this session, we discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option.
Deep Dive: Building Hybrid Cloud Storage Architectures with AWS Storage Gatew...Amazon Web Services
Are you tired of the treadmill of deploying on-premises storage? Join this session to learn how to use AWS Storage Gateway to shift storage for on-premises apps to the cloud, reducing your infrastructure and management challenges. Storage Gateway connects your apps to AWS storage services, including Amazon S3, using standard block, file and tape storage protocols. You can use Storage Gateway for hybrid cloud use cases for file-based application data storage, backup, analytics with data lakes, machine learning (ML), and migration. Learn about best practices from a customer using Storage Gateway for Microsoft SQL Server data protection.
ATC303-Cache Me If You Can Minimizing Latency While Optimizing Cost Through A...Amazon Web Services
This document summarizes a presentation about caching strategies to minimize latency and optimize costs. It discusses caching at the edge with CloudFront, caching at the web tier and app tier with solutions like Varnish and ElastiCache, and caching database queries with DynamoDB Accelerator. The presentation provides examples from Team Internet and recommends caching everything possible at each layer to improve performance.
Using AWS for Backup and Restore (backup in the cloud, backup to the cloud, a...Amazon Web Services
Companies are using AWS to create and deploy efficient, fast, and cost-effective backup and restore capabilities to protect critical IT systems without incurring the infrastructure expense of a second physical site. In this session, we will talk about cloud-based services AWS provides to enable robust backup and rapid recovery of your IT infrastructure and data.
Learning Objectives:
- Learn about AWS services to migrate data sets into AWS file, block and object storage services
- Determine which option can fit your requirements
- See how you can get started
Migrating Large Scale Data Sets to the Cloud - STG204 - re:Invent 2017Amazon Web Services
AWS now offers the simple services of data migration at a petabyte scale. You can easily move large volumes of data from onsite to the cloud. You can also quickly get started with the cloud as a backup target using data transfer services, such as AWS Snowball, AWS Snowball Edge, or AWS Storage Gateway. Learn about the available data migration options and which one is the right fit for your requirements. We discuss customer use cases and review the different applications they used with our data migration services to cut their IT expenditures and management time on hardware and backup solutions.
by Everett Dolgner, Business Development Manager AWS
With a hybrid architecture approach to managing data on-premises and in the cloud, organizations can be more agile and responsive than ever before. Find out what your peers are doing with cloud and how data backup, recovery, management, and e-discovery capabilities can help maximize your use of AWS. We will also cover dynamic data indexing across on-premises and cloud storage and holistic data protection.
STG309_Deep Dive Using Hybrid Storage with AWS Storage Gateway to Solve On-Pr...Amazon Web Services
Enterprises of all sizes face continuing data growth and persistent requirements to back up and recover application data. The pains of recurring storage hardware purchasing, management, and failures are still acute for many IT organizations. Some also need to integrate on-premises datasets with in-cloud workloads, such as big data processing and analytics. Learn how to use AWS Storage Gateway to connect on-premises applications to AWS storage services using standard storage protocols, such as NFS, iSCSI, and VTL. Storage Gateway enables hybrid cloud storage solutions for backup and disaster recovery, file sharing, in-cloud processing, or bulk ingest for migration. We discuss use cases with real-life customer stories, and offer best practices.
SRV302 Deep Dive: Hybrid Cloud Storage with AWS Storage GatewayAmazon Web Services
Enterprises of all sizes have the persistent storage challenges of data access, growth, and protection. Buying more storage stacks prolongs the pain of managing the storage lifecycle, which includes purchasing, ongoing operation, hardware failure, system retirement, and migration, yet it keeps on-premises datasets siloed from cloud workloads. In this session, learn how to use AWS Storage Gateway to connect your on-premises applications to AWS storage services by using standard storage protocols. Storage Gateway enables hybrid cloud storage solutions for file sharing, data lakes, big data analytics, backup and disaster recovery, and migration. We discuss best practices and new deployment approaches.
Migrating Data to the Cloud: Exploring Your Options from AWS (STG205-R1) - AW...Amazon Web Services
The document discusses various options for migrating data to the AWS cloud, including AWS Direct Connect for private connectivity, AWS DataSync for online data transfer, the AWS Snowball and Snowball Edge devices for offline data transfer of large volumes, AWS Storage Gateway for hybrid storage, AWS Transfer for SFTP, and Amazon S3 Transfer Acceleration. It provides overviews and use cases for each service and how they can help with migrating and managing data in hybrid cloud environments.
Architecting Digital Media Archive Migrations with AWS (STG357) - AWS re:Inve...Amazon Web Services
Migrating large media archives can be challenging. In this session, learn how the combination of AWS transfer services and the AWS Asset Management Migration Solutions can help accelerate this process. This match-up simplifies challenges around DAM/MAM integration, speeds up LTO archive retirement, transcodes video, and adds value through metadata analysis and storage by leveraging AI/ML.
AWS Initiate Day Dublin 2019 – Migrating Data to the CloudAmazon Web Services
The document discusses various options for migrating data to the AWS cloud, including AWS Direct Connect for private connectivity, AWS DataSync for online data transfer, Snowball devices for offline data transfer, AWS Transfer for SFTP to enable existing SFTP workflows in AWS, and AWS Storage Gateway for hybrid storage. It provides overviews and examples of how customers use these services to cost-effectively migrate data with minimal disruption.
The document describes Amazon Web Services storage portfolio including Storage Gateway, which is a hybrid storage solution that allows on-premises applications to access objects in Amazon S3 or files in Amazon EFS. It provides three options: file gateway, volume gateway and tape gateway. File gateway stores file data as objects in S3, volume gateway stores volume data in S3 and allows for EBS snapshots, and tape gateway provides virtual tape storage in S3 and Glacier with tape library emulation. The document also provides use cases and examples of migrating and recovering data using Storage Gateway.
Optimizing Storage for Enterprise Workloads and Migrations (STG202) - AWS re:...Amazon Web Services
In this session, we focus on best practices for AWS block and file storage when supporting enterprise workloads (like SAP, Oracle, Microsoft applications, and home directories). We discuss migrating mission-critical workload data, selecting volumes or file systems, optimizing performance, and designing for durability and availability. We also review optimizing for cost to ensure that your lift-and-shift project is a success.
AWS now offers the simple services of data migration at a petabyte scale. You can easily move large volumes of data from onsite to the cloud. You can also quickly get started with the cloud as a backup target using data transfer services such as AWS Snowball AWS Snowball Edge or AWS Storage Gateway. Learn about the available data migration options and which one is the right fit for your requirements. We discuss customer use cases and review the different applications they used with our data migration services to cut their IT expenditures and management time on hardware and backup solutions.
Migrating Data to the Cloud, Exploring your Options from AWSAmazon Web Services
AWS offers a variety of data migration services and tools to help you easily and rapidly move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor trailer. Learn about the available data migration options, including the AWS Snowball family, AWS Storage Gateway, Amazon S3 Transfer Acceleration, and other approaches. We provide the guidance to help you find the right service or tool to fit your requirements, and we share examples of customers who have used these options in their cloud journey.
How To Deploy Your File Workloads Quickly & Easily with AWSAmazon Web Services
The document discusses options for moving file workloads to AWS. It notes that on-premises storage continues to grow and the AWS storage portfolio now offers many options for enterprise file-based workloads. These include Amazon EFS for Linux applications, Amazon FSx for Windows File Server for Windows business applications, and using Amazon S3 with the File Gateway to store and access files via standard protocols. The document provides details on these and other AWS storage services and methods for transferring file data to the cloud.
Deep Dive on Cloud File System Offerings: What to Use, Where, and Why (STG392...Amazon Web Services
The document summarizes Amazon Web Services' portfolio of file storage and data transfer services. It introduces Amazon Elastic File System (EFS), Amazon FSx for Lustre and Windows File Server, AWS Storage Gateway, AWS DataSync, and AWS Transfer for SFTP. The panel of AWS product managers discuss the different services and when each one is best suited for different use cases and workloads. The presentation also highlights some new related sessions at re:Invent that provide more in-depth information on the various services.
The document discusses various options for migrating data to the AWS cloud, including AWS Direct Connect for private connectivity, AWS DataSync for online data transfer, and the AWS Snowball family for offline data transfer of large volumes. It addresses common questions around the type of data being migrated, whether it is a one-time or continuous migration, and bandwidth considerations.
AWS Initiate Day Manchester 2019 – AWS Migrating Data to the CloudAmazon Web Services
The document discusses various options for migrating data to the AWS cloud, including AWS Direct Connect for private network connections, AWS DataSync for online transfer of active data, the AWS Snowball family for offline data transfer including the Snowball Edge for edge computing needs, and AWS Storage Gateway for hybrid storage. It provides an overview of these services and examples or use cases for migrating different types of data on deadlines and budgets.
The document discusses various AWS services for migrating data to the cloud, including AWS Direct Connect, AWS DataSync, the AWS Snowball family, AWS Transfer for SFTP, and AWS Storage Gateway. It provides overviews and examples of how each service can be used to efficiently transfer data online or offline through the network or physical devices. The document also addresses common questions around data migration and highlights use cases for different types of data transfer.
This document summarizes a presentation given at AWS re:Invent 2017 about replacing tape backups with AWS. The presentation covered the costs and challenges of tape backups, options for backing up to AWS using AWS Storage Gateway or directly to S3/Glacier. It included a demo of replacing tape with Storage Gateway virtual tapes in 10 minutes. It also summarized how Southern Oregon University replaced their tape backups by using Storage Gateway to write backups to S3 and archive to Glacier, reducing infrastructure costs and management overhead.
Make your data move: Best practices for migrating data to AWS - STG201 - New ...Amazon Web Services
The prospect of moving data to the cloud can be daunting, and making sense of all of the services, tools, and protocols available to do it can be difficult. In this session, learn how to get started moving data into AWS efficiently and securely. We show you online and offline data transfer methods, including AWS DataSync, AWS Transfer for SFTP, and the AWS Snow family, and identify practical use cases to help you select the right service for your needs. This session also includes a live demo of AWS DataSync.
Discuss data migration with AWS experts - STG304 - Santa Clara AWS SummitAmazon Web Services
AWS offers a variety of data migration services and tools to help you move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor-trailer. We briefly cover a few key data migration services, including the AWS Snow family and AWS DataSync. We then engage in an interactive discussion about specific customer use cases to help you understand which technology is best for your needs. Come and join the discussion.
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.