No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv 2019

Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources.

Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.

AWS Amplify is a JavaScript library and toolchain that makes it easy to build mobile and web applications that use cloud services. It supports frameworks like React, Vue, Angular and Ionic. It provides a CLI to create and configure AWS services like databases, APIs, authentication, analytics and hosting. Behind the scenes, it automates the creation of resources like Cognito for authentication, DynamoDB tables, Lambda functions, API Gateway, S3 and more. It also provides a JavaScript library to connect front-end apps to these cloud services. The demo shows how to create a React app, add Amplify, add features like authentication and hosting, connect the app to GitHub, deploy features to different environments

This document provides an overview and summary of recent innovations to Amazon S3. It discusses new storage classes like Standard - Infrequent Access storage, data ingestion options like S3 Transfer Acceleration and Amazon Kinesis Firehose, enhanced visibility and control of data, and expanded integration with services like AWS CloudTrail and CloudWatch. It also provides examples of how to use lifecycle policies to transition objects between storage classes and automatically delete incomplete multipart uploads or expired object delete markers.

Amazon API Gateway helps developers create and manage APIs to connect backend systems like EC2 and Lambda to mobile, web, and server applications. An API in API Gateway consists of resources and methods. Resources represent logical entities that can be accessed via HTTP verbs like GET and POST. Methods map API requests to integrations with backend systems. API Gateway handles request/response mapping and provides benefits like monitoring, security controls, and scalability without servers. Pricing is based on monthly API calls and data transfer. Caching can reduce costs for frequently requested data.

This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.

Amazon CloudWatch provides AWS customers the monitoring platform for keeping tabs on their cloud infrastructure and applications. In this session, we show you how to use CloudWatch to monitor vital operational resource data such as EC2 Instance CPU Utilization, ELB Request Counts, RDS Read Throughput and much more. Learn how to configure CloudWatch Alarms to alert you any time services are operating outside of ranges you define. Finally, see how you can monitor applications on your EC2 instances or outside of AWS.

The document summarizes a meetup about AWS Elastic Load Balancing (ELB). The meetup covered an overview of ELB, the new Application Load Balancer, and a demo. It discussed key ELB concepts like health checks, metrics, logging, and integration with other AWS services. The new ALB supports features like path-based routing and HTTP/2 that improve on the classic load balancer.

In this workshop, we help you understand how you can help protect your web applications from threats cost effectively by using AWS WAF and Amazon CloudFront. As attacks and attempts to exploit vulnerabilities in web applications become more sophisticated and automated, having an effective web request filtering solution becomes key to keeping your users' data safe. We will cover common attack vectors and what you can do to mitigate them. You will learn how to leverage AWS WAF in conjunction with Amazon CloudFront to detect unwanted traffic and block it using simple configurations and automations. Prerequisites: Participants should have an AWS account established and available for use during the workshop. Please bring your own laptop.

For more training on AWS, visit: https://www.qa.com/amazon AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016

In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.

발표영상 다시보기: https://youtu.be/nlL47v4yQ7I AWS 는 최근 코로나19 로 인해 어려움을 겪고 있는 여행/물류 산업 고객을 위해서 AWS의 기본 비용 절감 방안 및 툴을 안내하고, 운영개선+아키텍처개선+To-be 로드맵을 제시해드리는 포괄적 체질 개선 프로그램을 소개합니다. 이를 통해 단기/중기 적으로 비용절감과 아키텍처 개선 전략을 함께 수립 할 수 있기를 기대합니다.

In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily. Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS

The document discusses various AWS services for monitoring, logging, and security. It provides examples of AWS CloudTrail logs and best practices for CloudTrail such as enabling in all regions, log file validation, encryption, and integration with CloudWatch Logs. It also summarizes VPC flow logs, CloudWatch metrics and logs, and tools for automating compliance like Config rules, CloudWatch events, and Inspector.

Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business.

AWS를 활용한 글로벌 오피스 업무 환경 구축하기 류한진, 이랜드시스템스 AWS를 이용하면 쉽고 빠르게 전세계에 있는 데이터센터와 네트워크를 이용하여 글로벌 서비스를 구축할 수 있습니다. 본 세션에서는 전세계의 AWS 데이터 센터 및 온프레미스와 연결하는 글로벌 하이브리드 네트워크를 구성하는 방법과 고려할 점을 살펴봅니다. 그리고 이를 토대로 가상 업무 공유 서비스인 Amazon Workspace와 Amazon Workdocs, Amazon Appstream을 활용하여 단기간에 쉽고 빠르게 해외 근무자를 위한 근무 환경을 만들어 운영하는 방법을 공유합니다.

This is the general what's-new session for Amazon DynamoDB in which we cover newly announced features and provide an end-to-end view of recent innovations. We also share some customer success stories and use cases. Come to this session to learn all about what’s new for DynamoDB.

AWS provides purpose-built tools with purpose-built database solutions for builders. In this session, we looked at the the scalable key-value storage of DynamoDB, the submilli second speed of ElastiCache for Redis, the relationship graph transversals of Neptune, and the search power of Elasticsearch and build mobile applications that use them. https://aws.amazon.com/products/databases/

In this session, learn how Amazon.com used AWS Database Migration Service (AWS DMS) to migrate 600B+ records to Amazon DynamoDB in two months. We address such questions such as: What were the problems in using Oracle databases for a large-scale distributed system that is constantly growing in scale? How did migration to Amazon DynamoDB address those problems and simplify the application architecture? How do you migrate data reliably and quickly using AWS DMS without affecting your application’s availability or throughput?

The document discusses Acer migrating their Oracle database known as CCDB to Amazon Aurora on AWS. It provides an overview of Amazon Aurora and other AWS database services like Database Migration Service. It then shares details of Acer's migration journey, including challenges faced and how AWS services and support helped address them. Infrastructure Event Management was used to plan and execute the migration through various stages while ensuring high availability of CCDB during the process.

The document discusses Amazon DynamoDB, a fully managed NoSQL database service provided by Amazon Web Services (AWS). Some key points covered include: - DynamoDB provides fast and consistent performance for any scale workload, with unlimited throughput and storage. - It offers encryption, access control, and is eligible for compliance with standards like PCI, HIPAA, and FIPS. - DynamoDB has seen many advancements over the past 21 months, including new features like VPC endpoints, auto scaling, backup and restore, and adaptive capacity.

In this session, we will take a look at Amazon DynamoDB and how you can get started building application with it. We will look at table design, common access patterns and compare it to a relational database.

Amazon API Gateway brings automated scaling, high availability and reduced operational overhead – but these are only the basics. This session is about all the newer, advanced functionality that can help your development team easily offload some of the tougher challenges in modern applications. I’ll show how AWS customers achieve real-time messaging with serverless WebSockets, modify requests and responses with payload modeling, and build API lifecycle management into their deployments. Some customers are developing entirely serverless applications at scale, and I’ll show how you can do the same.

This document summarizes a serverless computing workshop on building a web application called Wild Rydes. The workshop will provide an overview of serverless computing and AWS services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway, Amazon Cognito, and Amazon S3. Attendees will complete four labs to build components of the application, including hosting a static website on S3, managing user registration with Cognito, creating a backend with Lambda and DynamoDB, and building a REST API with API Gateway.

Organizations use reports, dashboards, and analytics tools to extract insights from their data, monitor performance, and support decision making. To support these tools, data must be collected and prepared for use. We'll look at two approaches: a structured centralized data repository as a Data Warehouse the less-structured repository of a Data Lake. We'll compare these approaches, examine the services that support each, and explore how they work together. Speakers: Amy Che - Sr. Solutions Delivery Manager, AWS Karan Desai - Solutions Architect, AWS

This is a hands-on workshop where every participant will not only learn how to architect and implement a serverless application on Amazon Web Services using nothing but serverless resources for all layers in theory, but actually do it in practice, with all the necessary support from the speakers. Serverless computing allows you to build and run applications and services without thinking about servers. Serverless applications don't require you to provision, scale, and manage any servers. You can build them for nearly any type of application or backend service, and everything required to run and scale your application with high availability is handled for you. Building serverless applications means that developers can focus on their core product instead of worrying about managing and operating servers or runtimes. This reduced overhead lets developers reclaim time and energy that can be spent on developing great products which scale and that are reliable.

Join us for this first-ever advanced design and best practices workshop, designed to demonstrate the breadth of AWS serverless offerings and how the components work together. In this interactive workshop, we review the evolution of an e-commerce company that starts with a low-effort serverless product catalog, scales to a million daily users, and then adds analytics and near real-time monitoring. As we progress through the workshop, we dive deeply into AWS serverless services, such as Amazon DynamoDB, AWS Lambda, and Amazon Kinesis. We also use Amazon S3, Amazon API Gateway, Amazon Cognito, and other services that enable you to optimize costs and improve performance. Basic knowledge of DynamoDB, Lambda, and Kinesis is required. Bring your laptop and power supply to this session.

Migrating enterprise applications to the cloud requires thorough planning and consideration for a number of variables. Should you move your application to a similar infrastructure in the cloud (in a lift-and-shift scenario)? Or should you refactor your application to take advantage of cloud-native services for object storage, serverless, auto-scaling, and so on? In this session, an AWS expert walks through the ten commandments that enterprises should follow when moving applications to the cloud and refactoring them for optimal performance. Then, a representative of Sysco Corporation, a Fortune 50 company, shares how the company migrated mission-critical legacy business systems and modernized them to take advantage of the AWS Cloud. Learn how the company moved its enterprise purchasing system, which processes millions of dollars in sales daily, to the AWS Cloud while achieving a 60% decrease in run costs. Also discover the lessons learned and highlights of the migration, which resulted in 30% increase in performance, 3x improvement in user accessibility, and a significant decrease in order backlogs and outages.

The document discusses adopting a hybrid cloud strategy using containers. It covers: - Benefits of containers for accelerating development, building modern apps, and automating operations at scale - Factors for success including culture, skills, organization, and using a product mindset over projects - How Amazon EKS can provide a hybrid computing environment integrating on-premises and cloud resources - Questions to consider for migrating data between environments like what/where data is moving and bandwidth needs

Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities. In this session, you will learn about serverless architectures, their benefits, and the basics of the AWS’s serverless stack (e.g., AWS Lambda, Amazon API Gateway, and AWS Step Functions). You will also get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately.

運用 AWS Edge Services 作為遊戲行業的關鍵基礎設施元件 (Level 200) 講師：Paul Yung, Head of Territory Business Development - HKT, AWS

The document discusses several non-relational databases offered by Amazon Web Services (AWS), including Amazon DynamoDB, Amazon ElastiCache, and Amazon Neptune. It provides information on the main features and components of each database, as well as customer success stories. The presentation also discusses database concepts like security, availability, performance, scalability, and the roles and responsibilities of database administrators.

The document traces the evolution of database technologies from early data storage methods like spreadsheets to modern database systems. It discusses the development of relational databases and SQL, data warehousing, NoSQL databases, and purpose-built database categories. The document also examines strategies for scaling databases and highlights trends like the growth of non-relational databases and migration to cloud-hosted databases.

Amazon DynamoDB is a serverless database for applications that need a flexible data model with high performance at any scale. In this session, we cover newly announced features and provide an end-to-end view of recent innovations. We also share some of our successful customer stories and use cases. Come to this session to learn all about what’s new with DynamoDB!

The document discusses tools for building minimum viable products (MVPs) on Amazon Web Services (AWS). It recommends starting with the simplest possible solution, such as a static single-page web application using AWS Amplify. It also provides suggestions for building monolithic applications on AWS Elastic Beanstalk or decomposing them into microservices. The document outlines options for different data storage needs including relational, key-value, document, in-memory, graph, time-series, and ledger databases. It emphasizes measuring everything and designing with few components to get an MVP built quickly.

The document discusses Extract, Transform, Load (ETL) processes and orchestration. It describes the characteristics and challenges of ETLs, and why orchestration is important to integrate multiple ETLs. It then reviews options for orchestrating ETLs using AWS tools like AWS Step Functions, AWS Lambda, AWS Glue, and AWS Data Wrangler. It provides recommendations on choosing the right ETL tool based on data size and processing duration. In summary, the document provides an overview of ETL orchestration and recommends AWS services for coordinating and executing ETL workflows.

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.

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.

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

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.

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.