With a mission to make containers the first class citizen in the cloud, AWS brings you a range of services to help run your containerized workloads. AWS Fargate is a compute engine for deploying and managing containers, which frees you from having to manage any of the underlying infrastructure. With AWS Fargate, you no longer have to provision, configure, scale, or update clusters of virtual machines to run containers. We also have Amazon Elastic Container Service for Kubernetes (Amazon EKS), which makes it easy to run Kubernetes on AWS at scale in production, without having to manage the Kubernetes control plane. In this session, learn how you can use AWS container services to deploy and manage your docker containers. Learn what we're doing to make AWS an even better place to run containers, and watch a live demonstration of AWS Fargate and Amazon EKS in action.
Running Containers without Servers: Introduction to AWS Fargate - SRV214 - To...Amazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. In this session, we provide a technical background for using Fargate with your existing containerized services. We include best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Deep Dive on Amazon Elastic Container Service (ECS) | AWS Summit Tel Aviv 2019AWS Summits
This talk will dive deep into Amazon ECS. We will take a look at recently added ECS features, like target tracking autoscaling, service discovery, daemon scheduling, task networking, and GPU pinning, including live demos!
AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. Join us to learn more about how Fargate works, why we built it, and how you can get started using it to run containers today.
Running Containers without Servers: Introduction to AWS Fargate - SRV214 - To...Amazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. In this session, we provide a technical background for using Fargate with your existing containerized services. We include best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Deep Dive on Amazon Elastic Container Service (ECS) | AWS Summit Tel Aviv 2019AWS Summits
This talk will dive deep into Amazon ECS. We will take a look at recently added ECS features, like target tracking autoscaling, service discovery, daemon scheduling, task networking, and GPU pinning, including live demos!
AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. Join us to learn more about how Fargate works, why we built it, and how you can get started using it to run containers today.
Running Containers Without Servers: Introduction to AWS Fargate - SRV214 - At...Amazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever. In this session, we provide a technical background for using AWS Fargate with your existing containerized services. We include best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Deploying Microservices using AWS Fargate (CON315-R1) - AWS re:Invent 2018Amazon Web Services
KPMG have built a customer due diligence solution for a high-profile banking client in AWS. The solution is made up of a number of microservices which are deployed to containers using AWS Fargate. This presentation will dive into the details of the architecture of the solution, how the infrastructure and applications are deployed using third party tools such as Hashicorp’s Terraform and Jenkins, and the best practices when running containers in production workloads. The presentation will cover details on the AWS resources used in the solution, including DynamoDB, ECS, Fargate and S3, CI/CD and automation, with a focus around security to meet banking regulatory requirements. We will look at how KPMG have configured for canary deployments to ECS Fargate, how we manage secrets management and encryption, and how we manage service discovery between the microservices using ECS Service Discovery and Route 53.
by Nathan Taber, Product Manager, AWS
By packaging software into standardized units, Docker gives code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you become comfortable running containerized services in production using Amazon EC2 Container Service. We cover container deployment, cluster management, service auto-scaling, service discovery, secrets management, logging, monitoring, security, and other core concepts. We also cover integrated AWS services and supplementary services that you can take advantage of to run and scale container-based services in the cloud.
by Kashif Imran, Sr. Solutions Architect, AWS
In this workshop you'll learn to build a web application using a serverless architecture. With fresh funding from its seed investors, Wild Rydes (www.wildrydes.com) is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, and Amazon S3.
Learning Objectives:
- How Fargate works to run containers
- How to get started using Fargate
- Migrating your existing containerized workloads to Fargate
This is an introduction session to containers and docks. Why do we need this technology, why is it different from virtualization and how you can use it for your next project.
Deep Dive on Amazon Elastic Container Service (ECS) I AWS Dev Day 2018AWS Germany
Containers are an increasingly important way for developers to package and deploy their applications and AWS offers multiple container products to help you deploy, manage, and scale containers in production. In this session we dive deep into Amazon Elastic Container Service (Amazon ECS), a highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS. We walk you through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We show you how to set up, manage and scale your Amazon ECS resources, keep them secure and deploy your applications to an Amazon ECS cluster. We also provide best practices for monitoring, logging and service discovery.
AWS Fargate lets you run containers on AWS without needing to provision or manage any servers. In this session, you'll get a technical foundation for using AWS Fargate with your existing containerized services. We will cover best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
by Erin McGill, Partner Solutions Architect, AWS
By packaging software into standardized units, containers give code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you will learn about your options for running containers on AWS and the integrated AWS services that you can take advantage of to run and scale containerized applications.
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Deep Dive into Container Networking (CON410-R1) - AWS re:Invent 2018Amazon Web Services
Building microservices lets you decouple parts of your application so you can develop and deploy code faster. But once your microservices are running, how do you ensure they can seamlessly communicate with each other? In this session, we dive deep into microservices networking. We discuss how you can build, secure, and manage the communications into, out of, and between the various microservices that make up your application. We also cover key topics like service discovery, deployments, latency, and service mesh.
Deep Dive on Container Networking at Scale on Amazon EKS, Amazon ECS, & Amazo...Amazon Web Services
In this advanced workshop, we dive deep on the different networking options for deploying containers at production scale across Amazon EC2, Amazon ECS, and Amazon EKS. We also review architectural best practices and the different relevant industry standards that are leveraged within these services. This workshop includes hands-on labs to facilitate a better understanding of the networking underpinnings of the various container deployment options. We recommend you bring your own laptop.
Amazon EKS Architecture in detail including CNI/Networking, IAM, Provisioning, Shared Responsibility Model, Project Calico, Load Balancing, Logging/Metrics, CI/CD using AWS CodePipeline, CodeCommit, CodeBuild, Lambda, Amazon ECR and Parameter Store and finally the use of Spot Instances which could yield a savings of 70-90% versus conventional on-demand EC2 instances.
In this session, we cover all options for running containers on AWS. This includes an introduction of container concepts and an overview of the different services: Amazon Elastic Container Service, AWS Fargate, and Amazon Elastic Container Service for Kubernetes. We also cover best practices for how to choose the right orchestration platform for your workload, the different tools for making this process easier, and ways to find more information and support as you work.
본 게시물은 2019년 3월 4일-5일 진행한 Container Workshop 교육 자료입니다.
AWS Fargate는 서버 또는 클러스터를 관리할 필요 없이 컨테이너를 실행할 수 있도록 지원하는 Amazon ECS를 위한 컴퓨팅 엔진입니다.
Fargate를 활용하여 애플리케이션을 실행하는 인프라의 관리가 아니라 애플리케이션을 설계하고 구축하는 데 집중하세요.
by Shawn OConnor, Enterprise Solutions Architect, AWS
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Running Containers Without Servers: Introduction to AWS Fargate - SRV214 - At...Amazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever. In this session, we provide a technical background for using AWS Fargate with your existing containerized services. We include best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Deploying Microservices using AWS Fargate (CON315-R1) - AWS re:Invent 2018Amazon Web Services
KPMG have built a customer due diligence solution for a high-profile banking client in AWS. The solution is made up of a number of microservices which are deployed to containers using AWS Fargate. This presentation will dive into the details of the architecture of the solution, how the infrastructure and applications are deployed using third party tools such as Hashicorp’s Terraform and Jenkins, and the best practices when running containers in production workloads. The presentation will cover details on the AWS resources used in the solution, including DynamoDB, ECS, Fargate and S3, CI/CD and automation, with a focus around security to meet banking regulatory requirements. We will look at how KPMG have configured for canary deployments to ECS Fargate, how we manage secrets management and encryption, and how we manage service discovery between the microservices using ECS Service Discovery and Route 53.
by Nathan Taber, Product Manager, AWS
By packaging software into standardized units, Docker gives code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you become comfortable running containerized services in production using Amazon EC2 Container Service. We cover container deployment, cluster management, service auto-scaling, service discovery, secrets management, logging, monitoring, security, and other core concepts. We also cover integrated AWS services and supplementary services that you can take advantage of to run and scale container-based services in the cloud.
by Kashif Imran, Sr. Solutions Architect, AWS
In this workshop you'll learn to build a web application using a serverless architecture. With fresh funding from its seed investors, Wild Rydes (www.wildrydes.com) is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, and Amazon S3.
Learning Objectives:
- How Fargate works to run containers
- How to get started using Fargate
- Migrating your existing containerized workloads to Fargate
This is an introduction session to containers and docks. Why do we need this technology, why is it different from virtualization and how you can use it for your next project.
Deep Dive on Amazon Elastic Container Service (ECS) I AWS Dev Day 2018AWS Germany
Containers are an increasingly important way for developers to package and deploy their applications and AWS offers multiple container products to help you deploy, manage, and scale containers in production. In this session we dive deep into Amazon Elastic Container Service (Amazon ECS), a highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS. We walk you through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We show you how to set up, manage and scale your Amazon ECS resources, keep them secure and deploy your applications to an Amazon ECS cluster. We also provide best practices for monitoring, logging and service discovery.
AWS Fargate lets you run containers on AWS without needing to provision or manage any servers. In this session, you'll get a technical foundation for using AWS Fargate with your existing containerized services. We will cover best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
by Erin McGill, Partner Solutions Architect, AWS
By packaging software into standardized units, containers give code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you will learn about your options for running containers on AWS and the integrated AWS services that you can take advantage of to run and scale containerized applications.
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Deep Dive into Container Networking (CON410-R1) - AWS re:Invent 2018Amazon Web Services
Building microservices lets you decouple parts of your application so you can develop and deploy code faster. But once your microservices are running, how do you ensure they can seamlessly communicate with each other? In this session, we dive deep into microservices networking. We discuss how you can build, secure, and manage the communications into, out of, and between the various microservices that make up your application. We also cover key topics like service discovery, deployments, latency, and service mesh.
Deep Dive on Container Networking at Scale on Amazon EKS, Amazon ECS, & Amazo...Amazon Web Services
In this advanced workshop, we dive deep on the different networking options for deploying containers at production scale across Amazon EC2, Amazon ECS, and Amazon EKS. We also review architectural best practices and the different relevant industry standards that are leveraged within these services. This workshop includes hands-on labs to facilitate a better understanding of the networking underpinnings of the various container deployment options. We recommend you bring your own laptop.
Amazon EKS Architecture in detail including CNI/Networking, IAM, Provisioning, Shared Responsibility Model, Project Calico, Load Balancing, Logging/Metrics, CI/CD using AWS CodePipeline, CodeCommit, CodeBuild, Lambda, Amazon ECR and Parameter Store and finally the use of Spot Instances which could yield a savings of 70-90% versus conventional on-demand EC2 instances.
In this session, we cover all options for running containers on AWS. This includes an introduction of container concepts and an overview of the different services: Amazon Elastic Container Service, AWS Fargate, and Amazon Elastic Container Service for Kubernetes. We also cover best practices for how to choose the right orchestration platform for your workload, the different tools for making this process easier, and ways to find more information and support as you work.
본 게시물은 2019년 3월 4일-5일 진행한 Container Workshop 교육 자료입니다.
AWS Fargate는 서버 또는 클러스터를 관리할 필요 없이 컨테이너를 실행할 수 있도록 지원하는 Amazon ECS를 위한 컴퓨팅 엔진입니다.
Fargate를 활용하여 애플리케이션을 실행하는 인프라의 관리가 아니라 애플리케이션을 설계하고 구축하는 데 집중하세요.
by Shawn OConnor, Enterprise Solutions Architect, AWS
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
AWS Fargate makes running containerized workloads on AWS easier than ever before. In this session, we provide a technical foundation for using AWS Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Expert Tips for Successful Kubernetes Deployment - AWS Summit Sydney 2018Amazon Web Services
Expert Tips for Successful Kubernetes Deployment on AWS
Running and managing a Kubernetes environment at scale is not simple. In this session we will share some expert tips that can help you run production grade Kubernetes deployments on AWS. We will review native AWS services you can use to improve security, deployments, networking, logging and monitoring, and CI/CD. We will also highlight third party services that are popular across a multitude of customers.
Mitch Beaumont, Solutions Architect, Amazon Web Services
CMP376 - Another Week, Another Million Containers on Amazon EC2aspyker
Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.
Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...Amazon Web Services
Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.
Chan Kwun-hok, Solutions Architect, AWS
Running and managing a Kubernetes environment at scale is not simple. In this session we will share some expert tips that can help you run production grade Kubernetes deployments on AWS. We will review native AWS services you can use to improve security, deployments, networking, logging and monitoring, and CI/CD. We will also highlight third party services that are popular across a multitude of customers.
Join us for this talk to learn how can you create a continues deployment pipeline for your container workloads. This talk will demonstrate an end to end CD pipeline for updating your microservice. Starting with version control changes and end in deploying the changes into a live container orchestrator.
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
In this session customers will learn how to leverage the identity and authorisation, network security and secrets management features of the wider AWS platform for their containers. We will also show you how to scan container images for vulnerabilities as part of your CI/CD pipeline.
Speaker: Marcus Santos, Solutions Architect, AWS
by Nathan Taber, Product Marketing Manager, AWS
Applications built as stateless microservices make it possible for organizations to scale quickly and deliver changes faster. In this tech talk, we'll cover what you need to know about how to secure distributed systems built using containers . You'll learn about the AWS shared security model, and how to implement security through the lifecycle of a service.
CI/CD for a Docker Node.JS application using Code* services. This session will walkthrough what a solution like this would look like, what Code* services are used, how your build will work, and how deploys will work. The purpose of this session is to allow customers to see how to deploy their containerized applications in Amazon Elastic Container Service (ECS) Fargate using our CI/CD solutions. Come with your questions and pain points. We will also talk about how to use Bitbucket as your source control rather than Code Commit for the many customers already using BitBucket and Jenkins.
Introduction to Serverless computing and AWS Lambda - Floor28Boaz Ziniman
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With Serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with Serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
Similar to Exciting world of Amazon container services with AWS Fargate and Amazon EKS (20)
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.