This document discusses 12 factor application principles for building microservices and outlines best practices for microservice architecture. It covers 12 factors like codebase, dependencies, configuration, backing services, port binding, concurrency, disposability, and others. It also discusses microservice principles like componentization, decentralization, treating services as products not projects, and infrastructure automation. The document provides examples of how to structure user signup as independent microservices that communicate asynchronously through events.
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
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.
"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
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/
Run Kubernetes with Amazon EKS - SRV318 - Chicago AWS SummitAmazon Web Services
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon EKSmakes it easy to run Kubernetes on AWS without having to manage the Kubernetes Control Plane. In this session, see 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 demo of AWS customers starting to use Amazon EKS.
Discuss the basics of the AWS CDK with its pros and cons. Including how the Cloud Development Kit (CDK) helped overcome the challenges faced in their previous serverless IaC solution.
Github repo for the PoC Source Code: https://github.com/dtl-open/cdkpoc
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 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
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.
"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
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/
Run Kubernetes with Amazon EKS - SRV318 - Chicago AWS SummitAmazon Web Services
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon EKSmakes it easy to run Kubernetes on AWS without having to manage the Kubernetes Control Plane. In this session, see 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 demo of AWS customers starting to use Amazon EKS.
Discuss the basics of the AWS CDK with its pros and cons. Including how the Cloud Development Kit (CDK) helped overcome the challenges faced in their previous serverless IaC solution.
Github repo for the PoC Source Code: https://github.com/dtl-open/cdkpoc
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.
Kubernetes Networking in Amazon EKS (CON412) - AWS re:Invent 2018Amazon Web Services
In this talk, we share a real-world experience of how AWS securely implements Kubernetes network abstractions at scale. We also explore the pain points in the current Kubernetes networking design, best practices for troubleshooting, and future improvements.
Following simple patterns of good application design can allow you to scale your application for your customers easily. We'll dive into the 12 factor application design and demo how this applies to containers and deployments on Amazon ECS and Fargate. We'll take a look at tooling that can be used to simplify your work flow and help you adopt the principles of the 12 factor application.
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.
This talk give you an overview of the new AWS Managed Kubernetes Service. Why do we want to use an managed service and most importend is this a good idea with EKS.
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.
Serverless use cases with AWS Lambda - More Serverless EventBoaz Ziniman
AWS Lambda allows you to run you code on a Serverless infrastructure, while AWS takes care of all the heavy lifting of Provisioning and utilization, Availability and fault tolerance, Scaling and Operations and management. In this session, we will take few use cases, from common development scenarios, and show how can we AWS Lambda to build smarter and better systems.
AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 김일호 솔루션스 아키텍트가 발표한 내용입니다.
내용 요약: 애플리케이션 개발시 컨테이너를 사용하면 복잡하면서도 확장성을 갖춘 애플리케이션을 좀 더 빠르게 만들 수 있습니다. AWS의 빠른 기술 혁신을 뒷받침하는 개발 환경을 고객 여러분께도 제공해 드리기 위해 개발된 서비스로 간단한 API를 이용해 EC2 인스턴스 클러스터 위에서 컨테이너를 구동할 수 있도록 해 주는 Amazon EC2 Container Service에 대해 소개하고, re:Invent에서 발표된 애플리케이션 생애주기 관리 서비스들인 AWS CodeDeploy와 AWS CodeCommit, AWS CodePipeline에 대해서도 다루도록 하겠습니다.
In this talk, we provide an introduction to Amazon Elastic Container Service for Kubernetes (Amazon EKS). Learn the basics of managing, deploying, and scaling containerized applications using Kubernetes on AWS. We first provide a quick introduction of containers, Kubernetes, and Amazon EKS. Then we dive into a hands-on demonstration of Amazon EKS.
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.
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.
AWS Compute: What’s New in Amazon EC2, Containers and Serverless - CMP218 - r...Amazon Web Services
Matt Garman, Vice President of AWS Compute Services, will introduce the latest innovations in the Compute space. At this session, we will be announcing new Compute capabilities, as well as insights into some of the underlying thinking of what makes the AWS Compute business unique. This session will cover new announcements around capabilities for EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers and Serverless. Matt will also be joined by executives from our customers and partners, including GE CTO Chris Drumgoole, Heroku CEO Adam Gross, and Autodesk Chief of Product and Cloud Security Reeny Sondhi, who will share valuable success stories of how Amazon EC2 has helped their journey to digital transformation.
Building Microservices with the 12 Factor App Pattern on AWSAmazon Web Services
by Chris Hein, Partner Solutions Architect, AWS
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. But building containerized microservices across multiple teams means you need well-defined, guiding methodologies for software design and implementation. In this talk we’ll discuss architectural best practices for building containerized microservices on AWS, and how traditional software design patterns evolve in the context of containers. We will deep-dive into Martin Fowler’s principles of microservices and map them to the twelve-factor app pattern and real-life considerations. If you are building or in the process of building microservices on AWS, don’t miss this session.
Building Microservices with the 12 Factor App Pattern on AWS - AWS Online Tec...Amazon Web Services
Learning Objectives:
- Learn best practices for building containerized microservices
- Learn about the twelve-factor app pattern and how to implement it using containers on AWS
- Learn how to use AWS Fargate to build and run containerized microservices
Kubernetes Networking in Amazon EKS (CON412) - AWS re:Invent 2018Amazon Web Services
In this talk, we share a real-world experience of how AWS securely implements Kubernetes network abstractions at scale. We also explore the pain points in the current Kubernetes networking design, best practices for troubleshooting, and future improvements.
Following simple patterns of good application design can allow you to scale your application for your customers easily. We'll dive into the 12 factor application design and demo how this applies to containers and deployments on Amazon ECS and Fargate. We'll take a look at tooling that can be used to simplify your work flow and help you adopt the principles of the 12 factor application.
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.
This talk give you an overview of the new AWS Managed Kubernetes Service. Why do we want to use an managed service and most importend is this a good idea with EKS.
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.
Serverless use cases with AWS Lambda - More Serverless EventBoaz Ziniman
AWS Lambda allows you to run you code on a Serverless infrastructure, while AWS takes care of all the heavy lifting of Provisioning and utilization, Availability and fault tolerance, Scaling and Operations and management. In this session, we will take few use cases, from common development scenarios, and show how can we AWS Lambda to build smarter and better systems.
AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 김일호 솔루션스 아키텍트가 발표한 내용입니다.
내용 요약: 애플리케이션 개발시 컨테이너를 사용하면 복잡하면서도 확장성을 갖춘 애플리케이션을 좀 더 빠르게 만들 수 있습니다. AWS의 빠른 기술 혁신을 뒷받침하는 개발 환경을 고객 여러분께도 제공해 드리기 위해 개발된 서비스로 간단한 API를 이용해 EC2 인스턴스 클러스터 위에서 컨테이너를 구동할 수 있도록 해 주는 Amazon EC2 Container Service에 대해 소개하고, re:Invent에서 발표된 애플리케이션 생애주기 관리 서비스들인 AWS CodeDeploy와 AWS CodeCommit, AWS CodePipeline에 대해서도 다루도록 하겠습니다.
In this talk, we provide an introduction to Amazon Elastic Container Service for Kubernetes (Amazon EKS). Learn the basics of managing, deploying, and scaling containerized applications using Kubernetes on AWS. We first provide a quick introduction of containers, Kubernetes, and Amazon EKS. Then we dive into a hands-on demonstration of Amazon EKS.
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.
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.
AWS Compute: What’s New in Amazon EC2, Containers and Serverless - CMP218 - r...Amazon Web Services
Matt Garman, Vice President of AWS Compute Services, will introduce the latest innovations in the Compute space. At this session, we will be announcing new Compute capabilities, as well as insights into some of the underlying thinking of what makes the AWS Compute business unique. This session will cover new announcements around capabilities for EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers and Serverless. Matt will also be joined by executives from our customers and partners, including GE CTO Chris Drumgoole, Heroku CEO Adam Gross, and Autodesk Chief of Product and Cloud Security Reeny Sondhi, who will share valuable success stories of how Amazon EC2 has helped their journey to digital transformation.
Building Microservices with the 12 Factor App Pattern on AWSAmazon Web Services
by Chris Hein, Partner Solutions Architect, AWS
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. But building containerized microservices across multiple teams means you need well-defined, guiding methodologies for software design and implementation. In this talk we’ll discuss architectural best practices for building containerized microservices on AWS, and how traditional software design patterns evolve in the context of containers. We will deep-dive into Martin Fowler’s principles of microservices and map them to the twelve-factor app pattern and real-life considerations. If you are building or in the process of building microservices on AWS, don’t miss this session.
Building Microservices with the 12 Factor App Pattern on AWS - AWS Online Tec...Amazon Web Services
Learning Objectives:
- Learn best practices for building containerized microservices
- Learn about the twelve-factor app pattern and how to implement it using containers on AWS
- Learn how to use AWS Fargate to build and run containerized microservices
Cloud Native Night, April 2018, Mainz: Workshop led by Jörg Schad (@joerg_schad, Technical Community Lead / Developer at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night/
PLEASE NOTE:
During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic.
DETAILS ABOUT THE WORKSHOP:
Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow and more) on any infrastructure.
This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production.
You will learn how to:
- Introduction to Kubernetes and DC/OS (including the differences between both)
- Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner
- Solve operational challenges of running a large/multiple Kubernetes cluster
- One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
12-Factor App is a methodology for building web applications, software-as-a-service apps. Software applications that are Easy to Setup, Portable, Cloud Platform Ready, CI/CD Ready and Scalable.
DockerCon EU 2015: The Missing Piece: when Docker networking unleashing soft ...Docker, Inc.
Presented by Adrien Blind, DevOps Coach, Socîeté Générale and Laurent Grangeau, Solutions Architect, Finaxys
Docker now provides several building blocks, combining engine, clustering, and componentization, while the new networking and service features enable many new usecases such as multi-tenancy.
In this session, you will first discover the new experimental networking and service features expected soon, and then drift rapidly to software architecture, explaining how a complete Docker stack unleashes microservices paradigms.
Back to the Future: Containerize Legacy ApplicationsDocker, Inc.
People typically think of Docker for microservices and try to make the smallest container they can. There are tremendous benefits to a microservices model but those are not the only apps that qualify for containers. Traditional, homegrown, monolithic apps are also great candidates for Docker - why? By containerizing these apps, many of the same agility, portability, security and cost savings benefits can be applied to the hundreds (if not thousands) of apps in your datacenters. But where to begin? Attend this session to learn how to approach modernizing traditional apps (MTA), considerations, the available tools and possibilities.
The missing piece : when Docker networking and services finally unleashes so...Adrien Blind
Docker now provides several building blocks, combining engine, clustering, and componentization, while the new networking and service features enable many new usecases such as multi-tenancy. In this session, you will first discover the new experimental networking and service features expected soon, and then drift rapidly to software architecture, explaining how a complete Docker stack unleashes microservices paradigms.
The first part of the talk will introduce what SDNs and service registries are to the audience and will cover corresponding network & service experimental features of docker accordingly, with a technical focus. For instance, it explains how to create an overlay network of top of a swarm cluster or how to publish services.
The second part of the talk moves from infrastructure to application concerns, explaining that application architecture paradigms are shifting. In particular, we discuss the growing porosity of companies’s IS (especially due to massive use of cloud services) drifting security boundaries from the global IS perimeter, to the application shape. We also remind that traditional SOA patterns leveraging on buses (ie. ESBs & ETLs) are being replaced by microservices promoting more direct, full-mesh, interactions. To get the picture really complete, we’ll also rapidely remind other trends and shifts which are already covered by other docker components: scalability & resiliency to be supported by the apps themselves, fine-grained applications, or even infrastructure commoditization…
Most of all, the last part depicts a concrete, state-of-the-art application, applying all the properties discussed previously, and leveraging on a multi-tenant docker full stack using new networking and services features, in addition to traditional swarm, compose, and engine components. And just because we say it doesn’t mean it’s true, we’ll be happy to demonstrate this live !
The twelve-factor app is designed for continuous deployment by keeping the gap between development and production small. For example, make the time gap small, make the personnel gap small & make the tools gap small. Learn more about how a Cloud vendor must provide a platform for 12-factor / Cloud Native development and deployment with identified anti-patterns.
Overview of the role of orchestration technologies in creating micro-services based architectures, and micro-services as a foundation for cloud native computing (CNCF)
Develop and deploy Kubernetes applications with Docker - IBM Index 2018Patrick Chanezon
Docker Desktop and Enterprise Edition now both include Kubernetes as an optional orchestration component. This talk will explain how to use Docker Desktop (Mac or Windows) to develop and debug a cloud native application, then how Docker Enterprise Edition helps you deploy it to Kubernetes in production.
Organizations can pick between numerous free community-supported distributions of the Linux operating system. In the data center and on AWS, Azure, GKE, CloudFlare, DigitalOcean, and other public clouds, these free versions are available as part of the default configuration. Why, then, would you pay for Linux?
These slides, based on a webinar hosted by Red Hat and leading IT research firm EMA, provide insights into what has and has not worked related to the adoption of free versus subscription-based Linux distributions.
8 - OpenShift - A look at a container platform: what's in the boxKangaroot
Many already have some familiarity with containers, and maybe even with Kubernetes. But what's the difference between those and a container platform? In this session the goal is to look at OpenShift, Red Hat's container platform based on Kubernetes. We see what it's made out of, what makes it tick, and what the future of OpenShift & Kubernetes holds.
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.
47. Fast Launch
Minimize the startup time of processes:
- Scale up faster in response to spikes
- Ability to move processes to another host as needed
- Replace crashed processes faster
61. Admin / management processes are
inevitable:
- Migrate database
- Repair some broken data
- Once a week move database
records older than X to cold
storage
- Every day email a report to this
person
65. Each component is a 12 factor application.
Fast Launch
Dependencies Configuration Port BindingCodebase
ConcurrentGraceful stop Log stream
Stateless
81. Example: User Signup
Signup API
HTTP
User Metadata
Service
Password
Service
Email Verification
Service
Friend Discovery
Service
Asynchronous
Broadcast
86. Automate the provisioning of the
servers that host microservice
containers:
Terraform, Ansible,
Amazon CloudFormation
Automate the placement of
containerized service processes onto
hosts:
Amazon Elastic Container Service,
Kubernetes, Docker Swarm
87. Developers Version Control Repository
Test & Deployment
Manager
Image Build Service
Infrastructure Provisioning
Container Scheduling &
Orchestration
Container Image Repository