With AWS, you can choose the right storage service for the right use case. This session shows the range of AWS choices - object storage to block storage - that is available to you. We include specifics about real-world deployments from customers who are using Amazon S3, Amazon EBS, Amazon Glacier, and AWS Storage Gateway.
With AWS, you can choose the right storage service for the right use case. This session shows the range of AWS choices - object storage to block storage - that are available to you. We include specifics about real-world deployments from customers who are using Amazon S3, Amazon EBS, Amazon Glacier, and AWS Storage Gateway.
Speakers:
Matt McClean, AWS Solutions Architect
by Isaiah Weiner, Sr. Manager of Solutions Architecture, AWS
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.
With AWS, you can choose the right storage service for the right use case. This session shows the range of AWS choices - object storage to block storage - that is available to you. We include specifics about real-world deployments from customers who are using Amazon S3, Amazon EBS, Amazon Glacier, and AWS Storage Gateway.
With AWS, you can choose the right storage service for the right use case. This session shows the range of AWS choices - object storage to block storage - that are available to you. We include specifics about real-world deployments from customers who are using Amazon S3, Amazon EBS, Amazon Glacier, and AWS Storage Gateway.
Speakers:
Matt McClean, AWS Solutions Architect
by Isaiah Weiner, Sr. Manager of Solutions Architecture, AWS
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.
Amazon Route 53 is a highly available, scalable, and easy to use cloud Domain Name System (DNS) web service. With an SLA of 100% availability, Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications. By using Route 53 as your DNS provider, you can ensure your application’s up-time, run architecture that delivers better performance, and provide your end users with a better experience through lower latency and faster load times, all at the fraction of the cost of other DNS providers. Learning Objective: In this webinar, you will learn the following: - General overview of DNS, and how Route 53 is built to provide reliable and secure DNS - Using the Route 53 console to manage your DNS, easily and seamlessly - Utilizing health checks and failover to ensure high availability - Configuring advanced routing policies, including running your application in multiple regions with LBR and Geo for better performance for your end users. - Saving costs by using Route 53 - Registering or transferring your domains into Route 53 to manage all of your domain resources from one place - How to start using Route 53, including migrating your DNS without experiencing any downtime.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
Learning Objectives:
- Learn how to make decisions about the service and share best practices and useful tips for success
- Learn about Content based routing, HTTP/2, WebSockets
- Secure your web applications using TLS termination, AWS WAF on Application Load Balancer
Amazon Elastic Compute Cloud (Amazon EC2) provides scalable computing capacity in the Amazon Web Services (AWS) cloud
Can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage
Amazon EC2 enables you to scale up or down to handle changes in requirements or spikes in popularity, reducing your need to forecast traffic
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum and optimizing your overall capital expense can be challenging. This session presents AWS features and services along with disaster recovery architectures that you can leverage when building highly available and disaster-resilient strategies.
Speaker spoke about features and benefits of the AWS Lambda service and explained how to increase system performance by using AWS services.
This presentation by Mykhailo Brodskyi (Senior Software Engineer, Consultant, GlobalLogic, Kharkiv), was delivered at GlobalLogic Kharkiv Java Conference 2018 on June 10, 2018.
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch five years ago, AWS customers have launched more than 5.5 million Hadoop clusters.
In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Speakers:
Ian Meyers, AWS Solutions Architect
Ian McDonald, IT Director, SwiftKey
Introduction to Cloud Computing
Fundamentals of AWS
Amazon Core Services
Learning to Build on #awscloud
My Journey (on request, had mentioned my journey too :) )
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
Getting Started with Storage Services on AWS - AWS Summit Tel Aviv 2017Amazon Web Services
AWS offers a complete range of cloud storage services to support both application and archival compliance requirements. Select from object, file, and block storage services. holding the information used by applications. Big data analytics, data warehouses, Internet of Things, databases, and backup and archive applications all rely on some form of data storage architecture. We will cover Amazon Elastic Block Storage (Amazon EBS) - Highly available, consistent, low-latency block storage, Amazon Simple Storage Service (Amazon S3) - Object storage designed to store and access any type of data over the Internet, Amazon Elastic File System (Amazon EFS) - Simple, scalable and mountable file storage for use with Amazon EC2 instances and Amazon Glacier - Extremely low-cost and highly durable object storage service for long-term backup and archive. In addition, we will cover AWS Storage Gateway - A software appliance that seamlessly links your on-premises environment to Amazon cloud storage.
Amazon Route 53 is a highly available, scalable, and easy to use cloud Domain Name System (DNS) web service. With an SLA of 100% availability, Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications. By using Route 53 as your DNS provider, you can ensure your application’s up-time, run architecture that delivers better performance, and provide your end users with a better experience through lower latency and faster load times, all at the fraction of the cost of other DNS providers. Learning Objective: In this webinar, you will learn the following: - General overview of DNS, and how Route 53 is built to provide reliable and secure DNS - Using the Route 53 console to manage your DNS, easily and seamlessly - Utilizing health checks and failover to ensure high availability - Configuring advanced routing policies, including running your application in multiple regions with LBR and Geo for better performance for your end users. - Saving costs by using Route 53 - Registering or transferring your domains into Route 53 to manage all of your domain resources from one place - How to start using Route 53, including migrating your DNS without experiencing any downtime.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
Learning Objectives:
- Learn how to make decisions about the service and share best practices and useful tips for success
- Learn about Content based routing, HTTP/2, WebSockets
- Secure your web applications using TLS termination, AWS WAF on Application Load Balancer
Amazon Elastic Compute Cloud (Amazon EC2) provides scalable computing capacity in the Amazon Web Services (AWS) cloud
Can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage
Amazon EC2 enables you to scale up or down to handle changes in requirements or spikes in popularity, reducing your need to forecast traffic
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum and optimizing your overall capital expense can be challenging. This session presents AWS features and services along with disaster recovery architectures that you can leverage when building highly available and disaster-resilient strategies.
Speaker spoke about features and benefits of the AWS Lambda service and explained how to increase system performance by using AWS services.
This presentation by Mykhailo Brodskyi (Senior Software Engineer, Consultant, GlobalLogic, Kharkiv), was delivered at GlobalLogic Kharkiv Java Conference 2018 on June 10, 2018.
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch five years ago, AWS customers have launched more than 5.5 million Hadoop clusters.
In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Speakers:
Ian Meyers, AWS Solutions Architect
Ian McDonald, IT Director, SwiftKey
Introduction to Cloud Computing
Fundamentals of AWS
Amazon Core Services
Learning to Build on #awscloud
My Journey (on request, had mentioned my journey too :) )
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
Getting Started with Storage Services on AWS - AWS Summit Tel Aviv 2017Amazon Web Services
AWS offers a complete range of cloud storage services to support both application and archival compliance requirements. Select from object, file, and block storage services. holding the information used by applications. Big data analytics, data warehouses, Internet of Things, databases, and backup and archive applications all rely on some form of data storage architecture. We will cover Amazon Elastic Block Storage (Amazon EBS) - Highly available, consistent, low-latency block storage, Amazon Simple Storage Service (Amazon S3) - Object storage designed to store and access any type of data over the Internet, Amazon Elastic File System (Amazon EFS) - Simple, scalable and mountable file storage for use with Amazon EC2 instances and Amazon Glacier - Extremely low-cost and highly durable object storage service for long-term backup and archive. In addition, we will cover AWS Storage Gateway - A software appliance that seamlessly links your on-premises environment to Amazon cloud storage.
Amazon Web Services (AWS) began offering IT infrastructure services to businesses in the form of web services -- now commonly known as cloud computing. One of the key benefits of cloud computing is the opportunity to replace up-front capital infrastructure expenses with low variable costs that scale with your business. With the Cloud, businesses no longer need to plan for and procure servers and other IT infrastructure weeks or months in advance. Instead, they can instantly spin up hundreds or thousands of servers in minutes and deliver results faster.
Scaling up to your first 10 million users - Pop-up Loft Tel AvivAmazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
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
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.
Relational databases are the core engines of many workloads. In this session we will start off by exploring the options and best practices for running relational databases on AWS and then take a deeper dive into Amazon Aurora and show how it can be used to run OLTP workloads at scale.
Speaker: Johnathon Meichtry, Principal Solutions Architect, Amazon Web Services
Let’s get started. Join this session to continue your journey through the core AWS services with live demonstrations of how to set up and use the 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.
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. What is Amazon Web Services?
Amazon Web Services is a cloud computing platform that provides
flexible, scalable, and cost-effective IT infrastructure for businesses of all
sizes around the world…
…built on the same reliable, secure technology
platform used to power Amazon.com’s global
web properties for over a decade.
3. Storage in the Amazon Cloud
Tools to access
services
Cross Service
features
Platform building
blocks
Infrastructure
building blocks
4. Amazon EC2 Regions and Availability Zones
US East (Northern Virginia) EU (Dublin)
Availability Availability
Zone A Zone B
Availability Availability
Zone A Zone B
Availability Availability
Zone C Zone D
Amazon EC2 Regions:
US East (Northern Virginia)
US West (Northern California)
EU (Dublin)
Asia Pacific (Singapore)
Asia Pacific (Tokyo)
5. Traditional Storage
Traditional Storage Options
Memory – caches, RAM disks
Message Queues – FIFOs, MOM
SAN – network-attached block devices: LUNs
DAS – local block devices (disks)
NAS – network attached file systems, filers
Databases – structured storage (on SAN, DAS or NAS)
Off-line – backup, archival, DR
Differ in
Performance
Durability
Cost
Often used to form a Storage Hierarchy
6. AWS Cloud Storage Options
Multiple Storage Options
EC2 Elastic Block Storage (EBS)
EC2 Local Instance Store (Ephemeral disk)
Simple Storage Service (S3)
Simple Queue Service (SQS)
SimpleDB
Relational Database Service (RDS)
EC2 Database AMIs
Differ in
Performance
Durability
Cost
Plus cloud attributes
Elasticity
Availability
Scalability
Also often used together as a Storage Hierarchy
7. AWS Cloud Storage Options
Examine each
Description
Ideal use cases
Characteristics (durability, scalability, etc.)
Anti-Patterns
8. Amazon Elastic Block (EBS) Storage
Block-level persistent storage for EC2 instances
Each EBS volume is like a hard drive on a physical
server
Off-instance, network-attached storage
Data lifetime independent of EC2 instance lifetime
Can attach multiple EBS volumes to an EC2 instance
Can only attach any single EBS volume to one EC2
instance at a time
Cost: $.10 per GB-month (provisioned)
Ideal use case -- primary storage for:
File systems
Databases
Raw block devices
9. Amazon EBS Characteristics
Durable off-instance storage
Mirrored (replicated) within a single Availability Zone
EBS Snapshots provide enhanced durability, other
benefits
.1% - .5% annual failure rate (using snapshots)
Optimized for random I/O, expect:
About 100 IOPS for 8K random reads
Up to 80 MB/sec sequential access
Some level of variability – network-attached, shared
resource
Can be striped using RAID 0 or LVM
Aggregate IOPS
Generally cannot aggregate throughput
10. Amazon EBS Snapshots
Snapshots provide point-in-time incremental backups
for EBS volumes
Saves only the data changed since the last snapshot
Any single snapshot represents a complete backup
Snapshots enhance durability of EBS
EBS volumes “live” (are mirrored) in a single Availability
Zone (AZ)
Snapshots “live” in S3, are replicated across multiple AZs
Durability of EBS volume is proportional to amount
changed data – Snapshot frequently!
Snapshots allow:
Cloning an EBS volume in different AZ
Sharing an EBS volume with another AWS account
Resizing EBS volumes
11. Amazon EBS Anti-Patterns
Temporary storage
Consider EC2 Instance Storage
Very high-durability storage
Consider Amazon S3
S3 design point eleven 9’s annual
EBS design point 99.5 to 99.9% annual durability
Storing static web content
Consider Amazon S3
Storing structured data or Key-Value pairs
Consider Amazon SimpleDB or
Amazon RDS
12. Amazon Local Instance Storage
Block-level temporary storage for EC2 instances
Also called “Ephemeral” storage or “Local drives”
“In the box” storage
No network variability
No persistence -- All data disappears on instance termination!
Cost: No additional charge
Ideal use cases:
Scratch disks
Temporary files, Buffers, Caches
Easily replicated data – web server’s DocumentRoot or
equivalent
13. Instance Storage Characteristics
Number and size of instance store devices varies
by EC2 instance type:
Larger instances have larger / more volumes
c1.xlarge has four 450GB drives
Micro instances have none
Local storage may be available but not exposed
See next slide
Not optimized for random I/O
EBS generally better for random I/O
Instance stores generally better for sequential I/O
Can be striped using RAID 0
Aggregate IOPS
Aggregate throughput (bandwidth)
14. Short Detour: S3 vs EBS AMIs
Two types of EC2 AMIs and Instances:
Instance store (“S3-backed”)
Original EC2, boot from ephemeral storage
Can Start and Terminate only
All data is ephemeral (unless separate EBS volume attached)
EBS root (“boot from EBS”)
Newer, boot from EBS volume
Can Start, Stop, Create Image, and Terminate
Ephemeral storage still available, but not exposed by default
Use instance Block Device Mapping (command line and API only)
Additional EBS volumes can be attached to
either type
15. Amazon Instance Store Anti-Patterns
Persistent storage
Consider EBS
Database storage
Generally need persistence beyond lifecycle of
single EC2 instance
Consider EBS
Shared storage
Local instance stores cannot be moved / shared
Consider EBS
Snapshots
Need point-in-time backups, shareability
Consider EBS
16. Amazon Simple Storage Service (S3)
Scalable and durable data storage in the cloud
Read / write / delete objects (files) from 1 Byte up to
5TBs
Concurrent reads / writes to single S3 bucket or object
Store nearly any kind of data
Pay-as-you-go tiered pricing:
$0.14/GB (first TB) to $0.055/GB (over 5PB)
Plus data transfer and requests
Ideal use cases
Static web content – often used with CloudFront CDN
Source and working storage for large-scale computation
or analytics
Backup, archival, and DR storage
17. Amazon S3 Characteristics
Two layer hierarchy: Buckets and Objects
Every object has a unique URL
Simple Get, Put, Delete API using HTTP
Supports
ACLs & Access policies
Versioning and Reduced Redundancy Storage
Extreme durability
Automatic replication to multiple devices and facilities in the
selected Region
Design point is eleven 9’s durability and four 9’s availability
Scale
Unlimited number of objects per bucket
Web-scale concurrent read / writes
18. Amazon S3 Anti-Patterns
File systems
S3 is an object store, not a POSIX file system
Can emulate a folder/file hierarchy
For a true filesystem, use EBS
Structured data with query
S3 does not support query
Must know the bucket name and the key
Use in conjunction with SimpleDB or database
Rapidly-changing, fine-grained changes
S3 generally reads / writes whole files
“Web-like” rather than “disk-like” latencies
Use EBS for fine-grained changes, lower latencies
19. Amazon CloudFront
Easy-to-use Content Delivery Network (CDN)
Same pay-as-you-go pricing as all of AWS
No up-front contracts
No long-term commitments
Self-service sign-up
Often uses Amazon S3 as the origin store
Also can use non-S3 origins, such as web server on EC2
Worldwide network of edge locations
Seattle, Palo Alto, Los Angeles, St. Louis, Dallas,
Ashburn, Newark, New York, Miami
Amsterdam, Dublin, Frankfurt, London
Hong Kong, Tokyo, Singapore
20. Amazon Simple Queue Service (SQS)
Reliable, highly-scalable hosted message
queuing service
SQS is storage? I thought this was an
asynchronous communication protocol…
SQS provides temporary storage (and delivery) of short
messages
Avoids use of other storage, such as temp files
Cost: First 100K requests free, $.01 per 10K
Ideal use case:
“Software glue” to enable loose coupling
Store and move data between servers or application
components
Often used with data stored in S3
22. Amazon SQS Characteristics
SQS provides Durable but Temporary storage
Messages must be text-only
Messages stay in queue for up to 14 days
Highly Reliable
Messages are stored redundantly on multiple servers
and data centers in a Region
Highly Scalable
Unlimited number of clients reading / writing an
Unlimited number of messages
Not designed to maximize single-thread
performance
5 - 50 messages per second per thread
Higher performance with multiple messages per call
23. Amazon SQS Anti-Patterns
Binary data or
Large data (>64KB)
Store the data in S3 or RDS
Store a pointer to the data in SQS
Long-term storage – over 14 days
Consider S3 or other storage
24. Amazon SimpleDB
New approach to store, manage, and query
structured data
“NoSQL” offering:
Flexible spreadsheet-like database
Domains, Items, Attributes, and Values
Supports SQL-like queries using SELECT
Eliminates the overhead of managing a relational
database
Cost: First 1GB-Month and ~2M queries free
Ideal use cases:
Structured, fine-grained data needing query
Data needing flexible schema
Metadata storage -- often used in conjunction with S3
25. Amazon SimpleDB
Core database functionality for data storage and
querying
No schema, no data modeling, no DBA
item description color material
123 Sweater Blue, Red
789 Shoes Black Leather
Store:
PUT (item, 123), (description, Sweater), (color, Blue), (color, Red)
Query:
Domain = MyStore
[‘description’ = ‘Sweater’]
26. Amazon SimpleDB Characteristics
Text-based data, 10GB per domain
Can “shard” larger data over multiple domains
Highly durable
Data automatically replicated in multiple geographic
locations in a Region
Fast
Near-LAN latencies for queries from EC2
Flexible and low-touch
“Schema-less” design, add attributes as needed
Items are indexed automatically
Supports both:
Eventually-consistent reads (for speed)
Consistent reads (for transactional updates)
27. Amazon SimpleDB Anti-Patterns
If your application:
Is tied to a traditional relational database
Needs Joins and Complex transactions
Needs BLObs (Binary Large Objects) support
Needs Numeric data
Needs very large data (>>10GB)
Then consider Amazon RDS or a traditional
relational database
28. Amazon Relational Database Service
(RDS)
Fully-functional relational database provided as a
managed, cloud-based service.
Automates:
Patching
Backups
Failover (Multi-AZ deployment)
Read Replicas
Cost: $.11 to $2.60 per hour (standard deployment),
plus storage and data transfer costs
Ideal use cases:
Any application that needs a full native capabilities of
traditional relational database
With minimal administrative overhead
29. Amazon RDS Characteristics
Fully-managed, tuned MySQL* database
Compatible with all normal tools, drivers, & applications
mysqldump, mysqlimport, etc.
(* Oracle 11g coming to RDS in second quarter)
Simple to deploy
Make a few clicks or API calls, get a connection string
Scalable
Scale vertically (increase / decrease compute, increase
storage 5GB to 1TB)
Scale horizontally (add read replicas)
Reliable
Automated backups of DB and logs, restore to any point in
time
Multi-AZ deployments
Synchronous replication and automated failover
User-initiated DB Snapshots
30. Amazon RDS Anti-Patterns
Simple index-and-query focused data
If you don’t need joins and complex transactions,
consider using SimpleDB
Heavy use of BLObs, or very large BLObs
Consider storing the BLObs in S3, with pointers and
metadata in RDS
Scaling beyond RDS vertical / horizontal scaling
limits
Consider using S3 and SimpleDB together
Your application requires a specific RDBMS not
supported by RDS, or
You need complete administrative control
Consider using EC2 Relational Database AMIs
31. Amazon Relational Database AMIs
EC2 instances and EBS storage provide a
platform to run many relational databases
Ready-to-use AMIs for
Oracle, SQLServer, DB2, Informix, PostgreSQL, Sybase,
Vertica, etc.
Costs and license terms vary by vendor
Ideal use cases:
Need the full native capabilities of one particular
relational database
With full administrative control
32. Amazon Relational Database AMIs
Performance characteristics depend on
Database software
Number / size of EBS storage volumes
Configuration of DB
…
Benchmark your application
33. Relational Database AMIs – Anti-Patterns
Index-and-query focused data
Consider SimpleDB
Have BLObs
Consider moving BLObs to S3
Need more Automation, Scaling etc.
Consider RDS, SimpleDB
34. Choosing an AWS Database Solution
Amazon EC2 Relational Amazon Relational Amazon SimpleDB
Database AMIs Database Service
Features Choose your own database Native access to a relational Schema-less data store
server (IBM DB2, Microsoft database engine, with key
SQL Server, MySQL, features of a relational
Oracle, and more) database, such as joins or
complex transactions
Administration Exert complete Gain a managed experience Zero administrative
administrative control over and offload common overhead (automatic
your database administrative tasks, such handling of geo-redundant
as provisioning, backup replication, index creation,
database tuning)
Flexibility Easy migration path Easy migration path Easy to use web service
(existing code, tools, (existing code, tools, APIs
applications are compatible) applications are compatible)
Scalability Employ many of the Quickly scale up resources Automatic and elastic
scalability features of with only an API call scaling of resources to meet
Amazon EC2 request load
Backup Store snapshots to Amazon Use automatic backup High availability (multiple
S3 service at an interval you copies of data for reliability
specify and failover)
39. AWS Import/Export
Get your data into AWS faster - load it onto a
portable storage device and ship it to an Amazon
data center
Faster than Internet transfer and more cost
effective than upgrading your connectivity
Use cases: data migration, offsite backup, direct
data interchange, disaster recovery