2013년 9월 25-27일간 열린 KGC의 AWS 측 기조연설 "How Leading Mobile Game CompaniesLeverage AWS for Success"의 발표자료입니다. 연사는 Patrick Prendergast Sr. Business Development Manager입니다.
EC2 is Amazon's Elastic Compute Cloud that provides secure and scalable virtual computing resources. It offers virtual machines known as instances that customers can launch, manage, and terminate as needed. EC2 provides high performance, reliability and scalability by distributing instances across multiple regions and availability zones. Customers pay for instances based on factors like the instance type, region, operating system and amount of time the instances are running. EC2 integrates with other AWS services and provides features like automatic scaling of resources based on demand.
This document compares cloud platforms Amazon Web Services (AWS) and Microsoft Azure. It finds that AWS is more oriented toward infrastructure as a service (IaaS) while Azure is more platform as a service (PaaS) oriented, though both platforms offer services across IaaS and PaaS. The document also compares specific cloud storage, databases, networking, deployment, middleware, tools and high availability/disaster recovery features between AWS and Azure.
The document discusses rendering visual effects and animation at scale using Amazon Web Services (AWS). It provides examples of companies using AWS for rendering including theme parks, gaming, and manufacturing. It then discusses the workflow components of VFX/animation rendering and challenges of on-premise rendering capacity. The document outlines how AWS provides scalability and faster outputs through rendering in the cloud. It discusses licensing models for cloud rendering, shared file systems, managing cloud infrastructure, and benchmarks showing improved performance of cloud rendering over on-premise. Overall, the document examines the state of cloud rendering on AWS and trends toward more workloads moving fully to the cloud.
4K Media Workflows on AWS By Usman Shakeel of Amzaon AWSETCenter
4K video is fast setting the minimum bar for content capture, be it consumer, prosumer, professional, episodic or theatrical. This in turn is leading to more demanding infrastructure requirements for media production, management and distribution. Consumers now have a variety of viewing devices and expect an optimal viewing experience for all of them, regardless of screen size or bandwidth availability. Media companies need to deliver on that consumer expectation while at the same time optimizing for costs. They need to produce content for the highest quality viewing experience, but have the ability to deliver to a wide variety of quality levels. They need an infrastructure that scales automatically and just works, whether it is a full 4K production workflow, subsequent archive and content management, or a multi-device streaming. In addition to discussing the way in which an agile cloud infrastructure can meet the demands of a 4K workflow, this session will cover cutting edge technologies like remote application visualization and server-less workflow automation that can greatly help today's media companies in the race to serve their gadget savvy consumer.
- Amazon Redshift is a fast, powerful, and simple petabyte-scale data warehouse service that runs in the cloud and is delivered as a managed service with no hardware to provision or manage.
- It offers very fast performance at a very low price, with no upfront costs and a pay-as-you-go model, and supports popular BI tools through JDBC/ODBC connectivity.
- Using columnar storage and massively parallel query execution, Redshift can analyze vast amounts of structured data quickly and cost effectively for both large enterprises and small companies on a budget.
EC2 Pricing Model (deck 0307 of the InfiniteSkills AWS course at http://bit.l...rICh morrow
More clearly explains On Demand, Reserved, and Spot instances. Part of a much larger, 5+ hour course at http://bit.ly/learn-aws/ (this is deck 0307 of the course). NOTE: Some info is outdated in here.
GPU Renderfarm with Integrated Asset Management & Production System (AMPS)Budianto Tandianus
This document describes a GPU renderfarm system integrated with an asset management and production system (AMPS) to efficiently manage rendering assets and accelerate the rendering process for CG movie production. The system allows artists around the world to upload and manage assets through AMPS. Rendering jobs are submitted online to a GPU renderfarm and monitored. Experiments showed nearly linear speedups from adding more GPU nodes, with render time decreasing from over 5 hours on one GPU to under 1.5 hours on two nodes with six GPUs total. Future work includes direct job submission from authoring tools and support for more tools, renderers, and heterogeneous renderfarm configurations.
This document discusses 4K media workflows on AWS. It introduces the concept of a "content lake" where all digital content is stored in Amazon S3 regardless of format or resolution. The content lake provides durable, scalable storage that can be accessed from anywhere. Content in the lake can be processed using auto-scaling compute resources like EC2 and then delivered to users. This infrastructure allows for cost-effective ingestion, processing, management and delivery of 4K and other high resolution content in the cloud.
Learn about the patterns and techniques a business should be using in building their infrastructure on Amazon Web Services to be able to handle rapid growth and success in the early days. From leveraging highly scalable AWS services, to architecting best patterns, there are a number of smart choices you can make early on to help you overcome some typical infrastructure issues.
Presenter: Chris Munns,Solutions Architect, Amazon Web Services
This document introduces Amazon Athena, a new serverless query service that allows users to run SQL queries directly on data stored in Amazon S3. With Athena, users do not need to load, index or manage any infrastructure for their data - they simply define tables and run queries. Athena supports a variety of data formats and can query large datasets for a low cost per terabyte scanned. The document provides examples of using Athena to analyze sample datasets more quickly and cost-effectively than alternatives like Amazon Redshift. It also demonstrates that converting data to columnar formats like Parquet can significantly improve query performance and reduce costs in Athena.
Aws architecture problems while being fancyGoran Kopevski
This document discusses various AWS services, including their benefits, common design patterns, and challenges. It provides an overview of services like EC2, S3, DynamoDB, API Gateway, Lambda, SQS, and Elasticsearch. While AWS makes infrastructure management easier, the document notes challenges like limited functionality of some newer services, inconsistent availability across regions, complexity of DynamoDB queries, and limitations of services like SQS message size. Custom Lambda functions are highlighted as a way to customize AWS architectures.
Softlayer began in 2005 and was acquired by IBM in 2013. It provides cloud computing infrastructure including IaaS, PaaS and SaaS. Rendering animation requires huge computing resources and time. Rendering a single animated film can require 300+ artists, 17,000+ CPU cores, 75 million CPU hours and 500 million digital files. Keeping resources on-premises to render films can cost millions whereas cloud infrastructure from Softlayer provides scalable resources more cost effectively. While security and cost concerns still hold the media industry back from fully adopting the cloud, its popularity for rendering is projected to grow to 88% within a year and 60% within 5 years.
Amazon EC2 allows you to bid for and run spare EC2 capacity, known as Spot instances, in a dynamically priced market. On average, customers save 80% to 90% compared to On Demand prices by using Spot instances. Achieving these savings has historically required time and effort to find the best deals while managing compute capacity as supply and demand fluctuate.
This document discusses compute services and the various compute options available on AWS. It defines compute as calculating or processing data. Compute services like OpenStack Compute are used to host and manage cloud computing systems. Major AWS compute services include EC2 for secure and scalable compute capacity, Lambda for serverless code execution, Batch for batch job processing, and Elastic Beanstalk for deploying web applications without managing infrastructure. The document also discusses options like Lightsail for simple workloads, ECS and EKS for containerized applications, and Fargate for serverless containers.
Visão geral sobre AWS. Apresentação dada durante a Semana da Computação 2014 (Redes) promovida pela Universidade Municipal de São Caetano do Sul - USCS.
Automated Media Workflows in the Cloud (MED304) | AWS re:Invent 2013Amazon Web Services
Ingesting, storing, processing and delivering a large library of content involves massive complexity. This session walks through sample code that leverages AWS Services to perform all these tasks while coordinating the activities with Amazon Simple Workflow Service (SWF). Along the journey you are introduced to best practices for cost optimization, monitoring, reporting, and exception or error handling. In addition to the sample workflow, a guest speaker from Netflix takes the audience on a deep dive into their “digital supply chain” where you learn how they have automated their processes in moving data all the way from the studios to the last mile. Services covered include Amazon SWF, Amazon Simple Storage Service (S3), Amazon Glacier, Amazon Elastic Compute Cloud (EC2), Amazon Elastic Transcoder, Amazon Mechanical Turk, and Amazon CloudFront.
We are known in the industry for our abilities of supplying & wholesaling a range of Fitness, Sports, Swim, Archery, Athletics, Gymnastic, Playground Eqmts. i.e. Nike, Yonex, Stag, Cosco, Metco, Nivia, Champ, Jonex, SS, GM, Head etc.
The document provides an analysis of the potential fiscal impacts of three proposed gaming facilities - Camptown Casino, Kansas Crossing Casino, and Castle Rock Casino - in southeast Kansas. It summarizes the methodology used, including adjustments made to the revenue estimates provided by the applicants. Revenue estimates over 5 years are provided for the state of Kansas, local counties and cities, school districts, and other impacted entities. Estimated costs to local and state governments to provide services to each facility are also summarized. The analysis finds differences between the revenue and cost estimates provided by EEC and the original numbers submitted by the applicants.
From the AWS Briefing that took place at Croke Park, Dublin on 20 March 2014. This presentation gives a short tour around a small selection the innovative uses for AWS Services.
STP204 Pinterest Pins AWS! Running Lean on AWS Once You've Made It - AWS re: ...Amazon Web Services
When you’re starting out, it’s not worth putting a lot of effort into optimizing your costs; you should put your time into growing your business. But as your infrastructure grows, it becomes worthwhile to optimize your use of AWS resources. Ryan Park from Pinterest’s technical operations team presents how they have optimized their infrastructure costs as their site has exploded in popularity.
Mobile Game Architectures on AWS (MBL201) | AWS re:Invent 2013Amazon Web Services
The gaming industry is undergoing massive changes, and AWS offers unique capabilities that game developers can use to succeed. In this session, we cover cloud gaming architectural patterns you can use to create highly available and scalable online games. We discuss games-as-APIs, database design considerations, decoupled architectures, and the best instance types for mobile, social, and AAA online games. By the end of this session, you’ll understand the different architecture patterns for the major classes of online games, as well as understand which AWS technologies will help you meet the unique challenges of each one.
- Cloud computing is important for big data applications as it provides variable expense, elastic capacity, and global reach. Amazon Web Services provides data storage, processing, and analytics services across a global network of regions and availability zones.
- Amazon Redshift is a fully managed data warehouse service that allows for fast queries on petabytes of structured data using standard SQL. It uses a columnar data storage format and data compression techniques to improve performance and reduce costs.
- Amazon EMR allows users to easily run Hadoop frameworks like Hive and Pig on AWS without having to manage hardware. It provides a scalable and cost-effective way to process vast amounts of unstructured data in Amazon S3.
- Amazon Kinesis enables real-
AWS re:Invent 2016| GAM303 | Develop Games Using Lumberyard and Leverage AWS ...Amazon Web Services
This session focuses on the cloud-connected features of Amazon Lumberyard. We introduce Amazon GameLift core concepts, complete a step-by-step walkthrough of deploying a multiplayer game to the cloud, and demonstrate how to rapidly scale a game based on player demand. We also cover Amazon Lumberyard’s Cloud Canvas, which empowers developers to leverage services such as databases, data storage, and methods to execute game logic within AWS without needing to configure or maintain servers. Finally we discuss integrating Twitch to your Lumberyard game with Twitch ChatPlay and JoinIn.
(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...Amazon Web Services
Success in free-to-play gaming requires knowing what your players love most. The faster you can respond to players' behavior, the better your chances of success. Learn how mobile game company GREE, with over 150 million users worldwide, built a real-time analytics pipeline for their games using Amazon Kinesis, Amazon Redshift, and Amazon DynamoDB. They walk through their analytics architecture, the choices they made, the challenges they overcame, and the benefits they gained. Also hear how GREE migrated to the new system while keeping their games running and collecting metrics.
Your Basic Building Blocks - AWS Compute - AWS Summit Tel Aviv 2017Amazon Web Services
AWS offers multiple compute products allowing you to deploy, run, and scale your applications as virtual servers, containers, or code. This session will cover the main service starting with Amazon EC2 - Resizable cloud-based compute capacity, Amazon Lightsail - The easiest way to launch and manage a virtual private server, Amazon EC2 Container Service (ECS) - highly scalable, high performance container management service that supports Docker containers and AWS Lambda which allows you to run code without provisioning or managing servers.
O Amazon Redshift é um data warehouse rápido, gerenciado e em escala de petabytes que torna mais simples e econômica a análise de todos os seus dados usando as ferramentas de inteligência de negócios de que você já dispõe. Comece aos poucos, por apenas 0,25 USD por hora, sem compromissos, e aumente a escala até petabytes por 1.000 USD por terabyte por ano, menos de um décimo do custo das soluções tradicionais. Normalmente, os clientes relatam uma compactação de 3x, que reduz seus custos para 333 USD por terabyte não compactado por ano.
The Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh VariaAmazon Web Services
The Cloud as a Platform Keynote Presentation delivered at Cloud Connections Conference (DevConnections) April 19, 2011 by Jinesh Varia, Technology Evangelist, Amazon
The document summarizes announcements from AWS re:Invent 2016 related to compute, storage, artificial intelligence, serverless computing, databases, migration tools, and developer tools. Key announcements included new EC2 instance types, cost reductions, Elastic GPUs, AWS Batch for batch processing, Aurora PostgreSQL, Athena for analytics on S3 data, VMware on AWS, AWS X-Ray for tracing distributed applications, and expanded machine learning capabilities through services like Polly, Lex, and Rekognition as well as support for MXNet as an AI framework.
Aws-What You Need to Know_Simon ElishaHelen Rogers
This document provides an overview of AWS services and capabilities over time. It discusses:
- The rapid growth in the number of AWS services from 2010 to 2017, indicating AWS's focus on innovation.
- The wide range of services available across computing, storage, databases, analytics, developer tools, management and security categories to support all types of workloads.
- New capabilities in 2017 including P2 GPU instance types for machine learning, Amazon Rekognition visual recognition service, and serverless computing using AWS Lambda.
This document discusses gaming on AWS in Japan. It begins with an introduction by Shinpei Ohtani from Amazon Data Services Japan. It then discusses typical mobile gaming architectures on AWS, including using EC2, RDS, S3, CloudFront, Route53, and ElastiCache. It provides use case examples of major Japanese gaming companies using AWS, including Nintendo's Miiverse, the browser-based game Grani, mobile game developer GungHo Online Entertainment, and Bandai Namco Studio's use of AWS OpsWorks for automation. Key benefits highlighted include the ability to scale quickly on AWS, focus on development rather than infrastructure, and leverage AWS services and support.
게임을 위한 Cloud Native on AWS
IT 기술이 변화하며 클라우드를 보다 적극적으로 사용하는 게임사가 늘어나는 추세입니다. 게임 고객분들이 다양한 시각에서 AWS Cloud Service를 보다 효과적으로 잘 사용할 수 있는 방법을 소개합니다. 또한, 고객분들께서 개발에 집중하고 효율적으로 운영할 수 있도록 AWS가 어떠한 도움을 드리는지에 대해 말씀드리고자 합니다.
AWS Q2 2018 Recap summarizes AWS's growth and new services and features in Q2 2018. Key points include:
- AWS revenue increased 49% year-over-year to $6.1 billion in Q2 2018.
- AWS now has 55 availability zones across 18 geographic regions with plans to expand to 12 more availability zones and 4 new regions.
- New services introduced include Amazon Sumerian, Amazon Neptune, AWS IoT Analytics, and EC2 C5d instances.
- Customer case studies highlight how Formula 1, Epic Games, 21st Century Fox, and Ryanair are using AWS services.
Scaling the Platform for Your Startup - Startup Talks June 2015Amazon Web Services
Join AWS at this session to understand how to architect an infrastructure to handle going from zero to millions of users. From leveraging highly scalable AWS services to making smart decisions on building out your application, you'll learn a number of best practices for scaling your infrastructure in the cloud.
The document discusses Amazon's contributions to and involvement with open source software. It notes that Amazon contributes code to projects like Apache TinkerPop and Neptune and that Amazon engineers are active members of open source communities. It also lists many open source projects that Amazon supports and develops tools for, covering areas like databases, analytics, machine learning, and developer tools. Amazon takes an open source first approach and believes that customer feedback should drive their roadmap and contributions to open source.
AWS "Game On" Event - How to ower the back-end in all platforms - 19 June13Amazon Web Services
This presentation details our experience of Gaming and AWS. It also looks at building a back-end for all platforms including the core, scaling it out, autoscaling, caching, analytics and massive scale.
Philip Fitzsimons, Solutions Architect - Gaming
This document discusses media and gaming applications on AWS and how AWS services can help companies innovate, grow, and understand their business better. It covers how AWS can help acquire, grow and retain users through scalable infrastructure, global distribution and analytics. Specific AWS services mentioned include EC2, S3, CloudFront, DynamoDB, OpsWorks, Route 53, EMR and Redshift. The document emphasizes how AWS removes barriers to innovation by providing on-demand, cloud-based infrastructure and services.
This document provides an overview of scaling a web application from 1 user to over 1 million users on AWS. It discusses starting with a single EC2 instance and expanding horizontally and vertically as traffic grows. As the number of users increases, it recommends introducing load balancers, database read replicas, caching with ElastiCache, and offloading static assets to S3 and CloudFront. It also discusses database sharding and moving some functionality to DynamoDB. The document emphasizes automation with services like Auto Scaling, CloudFormation, and splitting the application into independent services using a service-oriented architecture.
This document provides an overview of accelerating digital transformation by running SAP on AWS. It discusses AWS services that support SAP workloads like EC2, EBS, S3, Snowball. It covers supported SAP solutions, migrating SAP to AWS through homogeneous and heterogeneous methods. Benefits of deploying SAP on AWS are also summarized like speed, scalability, availability, disaster recovery.
This document provides an overview of AWS (Amazon Web Services) and cloud computing. It discusses key concepts like utility computing, pay as you go pricing, global availability, and elasticity. It also describes AWS's global infrastructure including 11 regions, 30 availability zones, and 53 edge locations. Finally, it lists and briefly explains various AWS computing, database, storage, analytics and other services that can be utilized on demand via the cloud.
클라우드에서 Database를 백업하고 복구하는 방법에 대해 설명드립니다. AWS Backup을 사용하여 전체백업/복구 부터 PITR(Point in Time Recovery)백업, 그리고 멀티 어카운트, 멀티 리전등 다양한 데이터 보호 방법을 소개합니다(데모 포함). 또한 self-managed DB 의 데이터 저장소로 Amazon FSx for NetApp ONTAP 스토리지 서비스를 사용할 경우 얼마나 신속하게 데이터를 복구/복제 할수 있는지 살펴 봅니다.
기업은 이벤트나 신제품 출시 등으로 예기치 못한 트래픽 급증 시 데이터베이스 과부하, 서비스 지연 및 중단 등의 문제를 겪곤 합니다. Aurora 오토스케일링은 프로비저닝 시간으로 인해 실시간 대응이 어렵고, 트래픽 대응을 위한 과잉 프로비저닝이 발생합니다. 이러한 문제를 해결하기 위해 프로비저닝된 Amazon Aurora 클러스터와 Aurora Serverless v2(ASV2) 인스턴스를 결합하는 Amazon Aurora 혼합 구성 클러스터 아키텍처와 고해상도 지표를 기반으로 하는 커스텀 오토스케일링 솔루션을 소개합니다.
Amazon Aurora 클러스터를 초당 수백만 건의 쓰기 트랜잭션으로 확장하고 페타바이트 규모의 데이터를 관리할 수 있으며, 사용자 지정 애플리케이션 로직을 생성하거나 여러 데이터베이스를 관리할 필요 없이 Aurora에서 관계형 데이터베이스 워크로드를 단일 Aurora 라이터 인스턴스의 한도 이상으로 확장할 수 있는 Amazon Aurora Limitless Database를 소개합니다.
Amazon Aurora MySQL 호환 버전 2(MySQL 5.7 호환성 지원)는 2024년 10월 31일에 표준 지원이 종료될 예정입니다. 이로 인해 Aurora MySQL의 메이저 버전 업그레이드를 검토하고 계시다면, Amazon Blue/Green Deployments는 운영 환경에 영향을 주지 않고 메이저 버전 업그레이드를 할 수 있는 최적의 솔루션입니다. 본 세션에서는 Blue/Green Deployments를 통한 Aurora MySQL의 메이저 버전 업그레이드를 실습합니다.
Amazon DocumentDB(MongoDB와 호환됨)는 빠르고 안정적이며 완전 관리형 데이터베이스 서비스입니다. Amazon DocumentDB를 사용하면 클라우드에서 MongoDB 호환 데이터베이스를 쉽게 설치, 운영 및 규모를 조정할 수 있습니다. Amazon DocumentDB를 사용하면 MongoDB에서 사용하는 것과 동일한 애플리케이션 코드를 실행하고 동일한 드라이버와 도구를 사용하는 것을 실습합니다.
사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...Amazon Web Services Korea
Database Migration Service(DMS)는 RDBMS 이외에도 다양한 데이터베이스 이관을 지원합니다. 실제 고객사 사례를 통해 DMS가 데이터베이스 이관, 통합, 분리를 수행하는 데 어떻게 활용되는지 알아보고, 동시에 데이터 분석을 위한 데이터 수집(Data Ingest)에도 어떤 역할을 하는지 살펴보겠습니다.
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...Amazon Web Services Korea
Amazon ElastiCache는 Redis 및 MemCached와 호환되는 완전관리형 서비스로서 현대적 애플리케이션의 성능을 최적의 비용으로 실시간으로 개선해 줍니다. ElastiCache의 Best Practice를 통해 최적의 성능과 서비스 최적화 방법에 대해 알아봅니다.
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...Amazon Web Services Korea
ccAmazon Aurora 데이터베이스는 클라우드용으로 구축된 관계형 데이터베이스입니다. Aurora는 상용 데이터베이스의 성능과 가용성, 그리고 오픈소스 데이터베이스의 단순성과 비용 효율성을 모두 제공합니다. 이 세션은 Aurora의 고급 사용자들을 위한 세션으로써 Aurora의 내부 구조와 성능 최적화에 대해 알아봅니다.
[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...Amazon Web Services Korea
오랫동안 관계형 데이터베이스가 가장 많이 사용되었으며 거의 모든 애플리케이션에서 널리 사용되었습니다. 따라서 애플리케이션 아키텍처에서 데이터베이스를 선택하기가 더 쉬웠지만, 구축할 수 있는 애플리케이션의 유형이 제한적이었습니다. 관계형 데이터베이스는 스위스 군용 칼과 같아서 많은 일을 할 수 있지만 특정 업무에는 완벽하게 적합하지는 않습니다. 클라우드 컴퓨팅의 등장으로 경제적인 방식으로 더욱 탄력적이고 확장 가능한 애플리케이션을 구축할 수 있게 되면서 기술적으로 가능한 일이 달라졌습니다. 이러한 변화는 전용 데이터베이스의 부상으로 이어졌습니다. 개발자는 더 이상 기본 관계형 데이터베이스를 사용할 필요가 없습니다. 개발자는 애플리케이션의 요구 사항을 신중하게 고려하고 이러한 요구 사항에 맞는 데이터베이스를 선택할 수 있습니다.
Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...Amazon Web Services Korea
실시간 분석은 AWS 고객의 사용 사례가 점점 늘어나고 있습니다. 이 세션에 참여하여 스트리밍 데이터 기술이 어떻게 데이터를 즉시 분석하고, 시스템 간에 데이터를 실시간으로 이동하고, 실행 가능한 통찰력을 더 빠르게 얻을 수 있는지 알아보십시오. 일반적인 스트리밍 데이터 사용 사례, 비즈니스에서 실시간 분석을 쉽게 활성화하는 단계, AWS가 Amazon Kinesis와 같은 AWS 스트리밍 데이터 서비스를 사용하도록 지원하는 방법을 다룹니다.
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...Amazon Web Services Korea
Amazon EMR은 Apache Spark, Hive, Presto, Trino, HBase 및 Flink와 같은 오픈 소스 프레임워크를 사용하여 분석 애플리케이션을 쉽게 실행할 수 있는 관리형 서비스를 제공합니다. Spark 및 Presto용 Amazon EMR 런타임에는 오픈 소스 Apache Spark 및 Presto에 비해 두 배 이상의 성능 향상을 제공하는 최적화 기능이 포함되어 있습니다. Amazon EMR Serverless는 Amazon EMR의 새로운 배포 옵션이지만 데이터 엔지니어와 분석가는 클라우드에서 페타바이트 규모의 데이터 분석을 쉽고 비용 효율적으로 실행할 수 있습니다. 이 세션에 참여하여 개념, 설계 패턴, 라이브 데모를 사용하여 Amazon EMR/EMR 서버리스를 살펴보고 Spark 및 Hive 워크로드, Amazon EMR 스튜디오 및 Amazon SageMaker Studio와의 Amazon EMR 통합을 실행하는 것이 얼마나 쉬운지 알아보십시오.
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...Amazon Web Services Korea
로그 및 지표 데이터를 쉽게 가져오고, OpenSearch 검색 API를 사용하고, OpenSearch 대시보드를 사용하여 시각화를 구축하는 등 Amazon OpenSearch의 새로운 기능과 기능에 대해 자세히 알아보십시오. 애플리케이션 문제를 디버깅할 수 있는 OpenSearch의 Observability 기능에 대해 알아보세요. Amazon OpenSearch Service를 통해 인프라 관리에 대해 걱정하지 않고 검색 또는 모니터링 문제에 집중할 수 있는 방법을 알아보십시오.
Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...Amazon Web Services Korea
데이터 거버넌스는 전체 프로세스에서 데이터를 관리하여 데이터의 정확성과 완전성을 보장하고 필요한 사람들이 데이터에 액세스할 수 있도록 하는 프로세스입니다. 이 세션에 참여하여 AWS가 어떻게 분석 서비스 전반에서 데이터 준비 및 통합부터 데이터 액세스, 데이터 품질 및 메타데이터 관리에 이르기까지 포괄적인 데이터 거버넌스를 제공하는지 알아보십시오. AWS에서의 스트리밍에 대해 자세히 알아보십시오.
IT market in Israel, economic background, forecasts of 160 categories and the infrastructure and software products in those categories, professional services also. 710 vendors are ranked in 160 categories.
SCREENING OF RECOMBINANTS - BLUE AND WHITE SCREENING (MCQS)sabaridaran1310
Introduction about genetic engineering
Steps in rDNA Technology
Screening of recombinants
Selection of recombinants
Blue and white screening
Alpha complementation
Beta galatosidase
X gal
Antibiotic resistance screening
Replica plate technique
Colony hybridization
Screening by Immunological assay
Immunological screening
Protein activity
Enzyme activity
MCQS RELATED TO SCREENING OF RECOMBINANTS
Project Delivery Methodology on a page with activities, deliverablesCLIVE MINCHIN
I've not found a 1 pager like this anywhere so I created it based on my experiences. This 1 pager details a waterfall style project methodology with defined phases, activities, deliverables, assumptions. There's nothing in here that conflicts with commonsense.
The Challenge of Interpretability in Generative AI Models.pdfSara Kroft
Navigating the intricacies of generative AI models reveals a pressing challenge: interpretability. Our blog delves into the complexities of understanding how these advanced models make decisions, shedding light on the mechanisms behind their outputs. Explore the latest research, practical implications, and ethical considerations, as we unravel the opaque processes that drive generative AI. Join us in this insightful journey to demystify the black box of artificial intelligence.
Dive into the complexities of generative AI with our blog on interpretability. Find out why making AI models understandable is key to trust and ethical use and discover current efforts to tackle this big challenge.
Jacquard Fabric Explained: Origins, Characteristics, and Usesldtexsolbl
In this presentation, we’ll dive into the fascinating world of Jacquard fabric. We start by exploring what makes Jacquard fabric so special. It’s known for its beautiful, complex patterns that are woven into the fabric thanks to a clever machine called the Jacquard loom, invented by Joseph Marie Jacquard back in 1804. This loom uses either punched cards or modern digital controls to handle each thread separately, allowing for intricate designs that were once impossible to create by hand.
Next, we’ll look at the unique characteristics of Jacquard fabric and the different types you might encounter. From the luxurious brocade, often used in fancy clothing and home décor, to the elegant damask with its reversible patterns, and the artistic tapestry, each type of Jacquard fabric has its own special qualities. We’ll show you how these fabrics are used in everyday items like curtains, cushions, and even artworks, making them both functional and stylish.
Moving on, we’ll discuss how technology has changed Jacquard fabric production. Here, LD Texsol takes center stage. As a leading manufacturer and exporter of electronic Jacquard looms, LD Texsol is helping to modernize the weaving process. Their advanced technology makes it easier to create even more precise and complex patterns, and also helps make the production process more efficient and environmentally friendly.
Finally, we’ll wrap up by summarizing the key points and highlighting the exciting future of Jacquard fabric. Thanks to innovations from companies like LD Texsol, Jacquard fabric continues to evolve and impress, blending traditional techniques with cutting-edge technology. We hope this presentation gives you a clear picture of how Jacquard fabric has developed and where it’s headed in the future.
UiPath Community Day Amsterdam: Code, Collaborate, ConnectUiPathCommunity
Welcome to our third live UiPath Community Day Amsterdam! Come join us for a half-day of networking and UiPath Platform deep-dives, for devs and non-devs alike, in the middle of summer ☀.
📕 Agenda:
12:30 Welcome Coffee/Light Lunch ☕
13:00 Event opening speech
Ebert Knol, Managing Partner, Tacstone Technology
Jonathan Smith, UiPath MVP, RPA Lead, Ciphix
Cristina Vidu, Senior Marketing Manager, UiPath Community EMEA
Dion Mes, Principal Sales Engineer, UiPath
13:15 ASML: RPA as Tactical Automation
Tactical robotic process automation for solving short-term challenges, while establishing standard and re-usable interfaces that fit IT's long-term goals and objectives.
Yannic Suurmeijer, System Architect, ASML
13:30 PostNL: an insight into RPA at PostNL
Showcasing the solutions our automations have provided, the challenges we’ve faced, and the best practices we’ve developed to support our logistics operations.
Leonard Renne, RPA Developer, PostNL
13:45 Break (30')
14:15 Breakout Sessions: Round 1
Modern Document Understanding in the cloud platform: AI-driven UiPath Document Understanding
Mike Bos, Senior Automation Developer, Tacstone Technology
Process Orchestration: scale up and have your Robots work in harmony
Jon Smith, UiPath MVP, RPA Lead, Ciphix
UiPath Integration Service: connect applications, leverage prebuilt connectors, and set up customer connectors
Johans Brink, CTO, MvR digital workforce
15:00 Breakout Sessions: Round 2
Automation, and GenAI: practical use cases for value generation
Thomas Janssen, UiPath MVP, Senior Automation Developer, Automation Heroes
Human in the Loop/Action Center
Dion Mes, Principal Sales Engineer @UiPath
Improving development with coded workflows
Idris Janszen, Technical Consultant, Ilionx
15:45 End remarks
16:00 Community fun games, sharing knowledge, drinks, and bites 🍻
Welcome to our third live UiPath Community Day Amsterdam! Come join us for a half-day of networking and UiPath Platform deep-dives, for devs and non-devs alike, in the middle of summer ☀.
📕 Agenda:
12:30 Welcome Coffee/Light Lunch ☕
13:00 Event opening speech
Ebert Knol, Managing Partner, Tacstone Technology
Jonathan Smith, UiPath MVP, RPA Lead, Ciphix
Cristina Vidu, Senior Marketing Manager, UiPath Community EMEA
Dion Mes, Principal Sales Engineer, UiPath
13:15 ASML: RPA as Tactical Automation
Tactical robotic process automation for solving short-term challenges, while establishing standard and re-usable interfaces that fit IT's long-term goals and objectives.
Yannic Suurmeijer, System Architect, ASML
13:30 PostNL: an insight into RPA at PostNL
Showcasing the solutions our automations have provided, the challenges we’ve faced, and the best practices we’ve developed to support our logistics operations.
Leonard Renne, RPA Developer, PostNL
13:45 Break (30')
14:15 Breakout Sessions: Round 1
Modern Document Understanding in the cloud platform: AI-driven UiPath Document Understanding
Mike Bos, Senior Automation Developer, Tacstone Technology
Process Orchestration: scale up and have your Robots work in harmony
Jon Smith, UiPath MVP, RPA Lead, Ciphix
UiPath Integration Service: connect applications, leverage prebuilt connectors, and set up customer connectors
Johans Brink, CTO, MvR digital workforce
15:00 Breakout Sessions: Round 2
Automation, and GenAI: practical use cases for value generation
Thomas Janssen, UiPath MVP, Senior Automation Developer, Automation Heroes
Human in the Loop/Action Center
Dion Mes, Principal Sales Engineer @UiPath
Improving development with coded workflows
Idris Janszen, Technical Consultant, Ilionx
15:45 End remarks
16:00 Community fun games, sharing knowledge, drinks, and bites 🍻
Leading Bigcommerce Development Services for Online RetailersSynapseIndia
As a leading provider of Bigcommerce development services, we specialize in creating powerful, user-friendly e-commerce solutions. Our services help online retailers increase sales and improve customer satisfaction.
Network Auto Configuration and Correction using Python.pptxsaikumaresh2
- Implemented Zero Touch Provisioning, Network Topology Mapper, and Root Cause Analysis using Python, GNS3, Netmiko, SSH, OSPF, and Graphviz.
- Developed a Python script to automate network discovery based on Core Router IP and login details, significantly reducing manual intervention.
- Enhanced network visualization by generating detailed network graphs, aiding in quick network analysis and troubleshooting.
How CXAI Toolkit uses RAG for Intelligent Q&AZilliz
Manasi will be talking about RAG and how CXAI Toolkit uses RAG for Intelligent Q&A. She will go over what sets CXAI Toolkit's Intelligent Q&A apart from other Q&A systems, and how our trusted AI layer keeps customer data safe. She will also share some current challenges being faced by the team.
Using ScyllaDB for Real-Time Write-Heavy WorkloadsScyllaDB
Keeping latencies low for highly concurrent, intensive data ingestion
ScyllaDB’s “sweet spot” is workloads over 50K operations per second that require predictably low (e.g., single-digit millisecond) latency. And its unique architecture makes it particularly valuable for the real-time write-heavy workloads such as those commonly found in IoT, logging systems, real-time analytics, and order processing.
Join ScyllaDB technical director Felipe Cardeneti Mendes and principal field engineer, Lubos Kosco to learn about:
- Common challenges that arise with real-time write-heavy workloads
- The tradeoffs teams face and tips for negotiating them
- ScyllaDB architectural elements that support real-time write-heavy workloads
- How your peers are using ScyllaDB with similar workloads
1. How Leading Mobile Game Companies
Leverage AWS for Success
Patrick Prendergast
Senior Business Development Manager – Gaming
2. Agenda – Three Questions
Who is Amazon Web Services?
• An Introduction to Amazon Web Services
How are Mobile Game Developers using AWS
• Common Mobile Game Design Patterns
Why are Game Developers embracing AWS?
• Customer benefits and case studies
6. 42 Edge Locations and Growing…
Europe
Amsterdam (2)
Dublin
Frankfurt (2)
London (2)
Madrid
Milan
Paris (2)
Stockholm
Asia
Chennai
Hong Kong (2)
Mumbai
Osaka
Singapore (2)
Seoul
Sydney
Tokyo (2)
South America
Sao Paulo
North America
Ashburn, VA (2)
Dallas, TX (2)
Hayward, CA
Jacksonville, FL
Los Angeles, CA (2)
Miami, FL
Newark, NJ
New York, NY (3)
Palo Alto, CA
Seattle, WA
San Jose, CA
South Bend, IN
St. Louis, MO
10. More than 166 new Features,
Updates and Services as of
September 2013!
11. 2013
Every day, AWS adds
enough server capacity to
power this $5B enterprise
$5.2B retail business
7,800 employees
A whole lot of servers
2003
AWS Scale
17. Core Backend
Region
Availability Zone A
ELB
• Choose Region
• 9 Globally
• One Availability Zone
• Ok for Development
• No redundancy
• EC2 Instance
• Linux, Windows
• App server code
• Elastic Load Balancer
• DNS for App
• MySQL Database
• RDS or Build Your Own
18. Scale It Out
ELB
Availability
Zone A
Availability
Zone B
Region
S3
• Add Another AZ
• Redundancy (High
Availability)
• Load Balancing
• Add Slave Database
• RDS Multi-AZ
• Or Build Your Own
• S3 for Game Data
• Patches
• UGC
19. AutoScale, CDN + Caching
CloudFront CDN
ELB
Availability
Zone A
Availability
Zone B
Region
S3
• Auto Scaling Group
• Capacity on Demand
• Respond to Users
• ElastiCache
• Memcached
• Redis
• Or Build Your Own EC2 EC2
• CloudFront CDN
• DLC, Game Assets
20. Add NoSQL CloudFront CDN
ELB
Availability
Zone A
Availability
Zone B
DynamoDB
• DynamoDB
• fast, fully managed
NoSQL database service
EC2 EC2
Region
CloudFront CDN
S3
21. Add Analytics
CloudFront CDN
ELB
Availability
Zone A
Availability
Zone B
Region
S3
• Elastic MapReduce
• Managed Hadoop
• Parse Logs
• Parallel Aggregation
EC2 EC2
Elastic
MapReduce
Redshift
• Redshift
• Data Warehouse
• Column-Oriented
• SQL Compatible
DynamoDB
24. Mobile Game Industry Trends
• Free to Play is here to stay
• Top Free does not equal Top Grossing
• Diversification of Game Genre
• Genre dictates monetization methods
25. What Can we conclude from this?
• Difficult to predict success – upfront costs are a risk
• Need to maximize users - Go Global
• User Acquisition is expensive – you need platform that can scale
rapidly
• Retention is critical for monetization – Data analytics matter
• Focus on the game
• Know your Monetization Strategy - Your Backend must be ready
36. Amazon Web Services enables you to:
• Start small, no upfront capital costs, pay only for what you use, when
you use it.
• Experiment often and tune your environment for your games specific
needs.
• Gather data, measure, adapt and grow.
• Go Global
• Focus on the Game
Summary