The document discusses Amazon Web Services (AWS) container services, including Amazon Elastic Container Service (ECS), Elastic Container Service for Kubernetes (EKS), and AWS Fargate. ECS provides a managed container orchestration service, EKS provides a managed Kubernetes service, and Fargate allows running containers without managing infrastructure. Customers initially ran Docker containers on EC2, then AWS introduced ECS for easier management. EKS and Fargate address customer needs for Kubernetes and eliminating infrastructure management.
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!
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.
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.
by Harrell Stiles, Sr. Consultant, AWS ProServe
Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup, needs your help! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
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!
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.
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.
by Harrell Stiles, Sr. Consultant, AWS ProServe
Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup, needs your help! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
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 Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
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.
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.
by Harrell Stiles, Sr. Consultant, AWS ProServe
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Exciting world of Amazon container services with AWS Fargate and Amazon EKSAmazon Web Services
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.
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.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) 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 for Kubernetes (Amazon EKS), a new managed service for running Kubernetes on AWS. Learn how Amazon EKS works, from provisioning nodes, launching pods, and integrations with AWS services such as Elastic Load Balancing and Auto Scaling.
Learn more about containers here: https://aws.amazon.com/containers/
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.
Building Chatbots with Amazon Lex I AWS Dev Day 2018AWS Germany
Through Amazon AI services, we learn how to add powerful features like natural language understanding(NLU), automatic speech recognition (ASR), visual search and image recognition, text to speech (TTS), and machine learning (ML) technologies to applications. https://aws.amazon.com/machine-learning/
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.
by John Pignata, Startup Solutions Architect, AWS
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Comparing Compute Options for Microservices - AWS Summti Sydney 2018Amazon Web Services
Comparing Container Options for Microservices on AWS
When building microservices on AWS, you have a wide-range of options for compute, monitoring, logging, and deployment. In this session we walk through what it takes to build, deploy, and manage a microservices-based application using different compute options, and cover application packaging, tooling, service discovery, monitoring, logging, and CI/CD.
Arun Gupta, Principal OS Technologist, Amazon Web Services
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 Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
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.
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.
by Harrell Stiles, Sr. Consultant, AWS ProServe
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Exciting world of Amazon container services with AWS Fargate and Amazon EKSAmazon Web Services
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.
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.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) 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 for Kubernetes (Amazon EKS), a new managed service for running Kubernetes on AWS. Learn how Amazon EKS works, from provisioning nodes, launching pods, and integrations with AWS services such as Elastic Load Balancing and Auto Scaling.
Learn more about containers here: https://aws.amazon.com/containers/
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.
Building Chatbots with Amazon Lex I AWS Dev Day 2018AWS Germany
Through Amazon AI services, we learn how to add powerful features like natural language understanding(NLU), automatic speech recognition (ASR), visual search and image recognition, text to speech (TTS), and machine learning (ML) technologies to applications. https://aws.amazon.com/machine-learning/
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.
by John Pignata, Startup Solutions Architect, AWS
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Comparing Compute Options for Microservices - AWS Summti Sydney 2018Amazon Web Services
Comparing Container Options for Microservices on AWS
When building microservices on AWS, you have a wide-range of options for compute, monitoring, logging, and deployment. In this session we walk through what it takes to build, deploy, and manage a microservices-based application using different compute options, and cover application packaging, tooling, service discovery, monitoring, logging, and CI/CD.
Arun Gupta, Principal OS Technologist, Amazon Web Services
Getting Started with Containers in the Cloud: AWS Developer Workshop at Web S...Amazon Web Services
Getting Started with Containers in the Cloud: AWS Developer Workshop at Web Summit 2018
Speaker: Frank Munz - Technical Evangelist, AWS
Docker containers have celebrated a tremendous success in the last few years. They finally solved the "worked for me" issue and provide a lock-in free and standards based migration path from on premises to the cloud. So it does not come as a surprise that many microservices implementations these days build on containers. At the same time there is an increasing trend in the industry towards Kubernetes as an orchestration platform. However, running containers at scale adds extra complexity to your infrastructure.
This sessions helps you to overcome the obstacles and understand the full picture. From local Docker container development to a production environment for microservices based on Kubernetes in the cloud. I will kick off showing container basics in a live demo and then explore the details of running managed Kubernetes in the AWS cloud, including its setup options, deployment, and links to other AWS services.
AWS Fargate makes running containerized workloads on AWS easier than ever. In this session, we provide a technical foundation for using AWS Fargate with your existing containerized services. We also provide best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Develop Containerized Apps with AWS Fargate - SRV314 - Chicago AWS SummitAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever. In this session, we provide a technical foundation for using AWS Fargate with your existing containerized services. We also share best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Containers State of the Union 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 we cover the state of containerized application development and deployment trends, new container capabilities on AWS that are available now, options for running containerized applications on AWS, and how AWS customers successfully run container workloads in production.
Learn more about containers here: https://aws.amazon.com/containers/
Which containers orchestration should I deploy?
If you ever asked yourself the above question this session is for you.
The session will focus on Amazon ECS (Including Fargate technology) and Amazon EKS.
The session will discuss common orchestrator use-cases, platform integrations.
The goal of this session is to provide you with the proper insights to make this decision.
The session will include a live demo.
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.
Learn how AWS services for containers take the pain out of managing infrastructure, and best practices for developing new services rapidly while running them at scale.
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 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
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is an upcoming managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon Elastic Container Service for Kubernetes (Amazon EKS) makes it easy to run Kubernetes on AWS without having to manage the Kubernetes control plane. In this session, learn how Amazon EKS makes deploying Kubernetes on AWS simple and scalable, including networking, security, monitoring, and logging. Learn what we're doing to make AWS an even better place to run Kubernetes, and watch a demonstration of AWS customers starting to use Amazon EKS.
"Microservices for Startups: Implementation Patterns with Amazon ECS" by Donnie Prakoso, AWS Technology Evangelist, ASEAN presented as part of Container Conference 2018
"Container technology provides unparalleled improvements in efficiency and agility of packaging and deploying applications, and hence are becoming the de-facto method for deploying microservices. However, using containers for running services at scale has required that operations team handle complex, dynamically changing infrastructure requirements, or run the risk or under/over-provisioning infrastructure. Let's explore together best practices for developing microservices with containers on AWS services while running them at scale."
URL: www.containerconf.in
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...Amazon Web Services
This session will focus on how leveraging Fargate and its serverless approach to deploying and managing containers will help increase operational efficiencies and reduce the time to ramp up your operations to run production containerized workloads. Datree will share their journey to adopt containers and the steps they were able to accelerate and avoid by using Fargate as well do a demo.
Containers gained strong traction since day one for both enterprises and startups. Today AWS customers are launching hundreds of millions of new containers – each week. Join us as we cover the state of containerized application development and deployment trends. This session will dive deep on new container capabilities that help customers deploying and running container-based workloads for web services and batches.
Modern Applications Web Day | Container Workloads on AWSAWS Germany
Containers gained strong traction since day one for both enterprises and startups. Today AWS customers are launching hundreds of millions of new containers – each week. Join us as we cover the state of containerized application development and deployment trends. This session will dive deep on new container capabilities that help customers deploying and running container-based workloads for web services and batches.
Speaker: Steffen Grunwald, Senior Solutions Architect, AWS & Sascha Möllering, Senior Solutions Architect, AWS
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.