[판교에서 만나는 아마존웹서비스] AWS 클라우드 개요

This document provides a summary of storage-related breakout sessions at the 2019 AWS re:Invent conference. There will be sessions covering best practices for implementing data lakes on S3, securing EFS for containers and data science, shifting tape backups to AWS for cost savings, new capabilities in AWS file storage, hybrid storage architectures with Storage Gateway, security and management of S3, data migration services, deep dives on EBS, storage at the edge and hybrid cloud, data migration and edge computing with Snow family, durability of S3, high performance file storage with S3 and FSx for Lustre, what's new with S3 and S3 Glacier, optimizing costs in S3, a deep dive

Fortinet Automates Migration onto Layered Secure Workloads

A primary concern many of today’s organizations is how to securely migrate their data and workloads to the cloud. To mitigate these challenges, multi-layered protection needs to be in place at all points along the path of data: entering, exiting, and within the cloud. Join Fortinet and AWS to learn how you can enable robust and effective security for your AWS Cloud-based applications and services. Fortinet provides a comprehensive security solution for your hybrid workloads, allowing you to effectively secure your workloads with simplified, automated migration. Join us to learn: - The best practices for enabling visibility and control against advanced threats - Identify and enable the right security architecture for your applications and services - How to protect your data along each step of the migration process Who should attend: CTOs, CIOs, CISOs, IT Administers, IT Architects and IT Security Engineers

Build a Serverless Web Application in One Day

by Rahul Sareen, Sr. Consultant, AWS In this workshop you'll learn to build a web application using a serverless architecture. With fresh funding from its seed investors, Wild Rydes (www.wildrydes.com) is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, and Amazon S3.

Track 3 Session 6_打造應用專屬資料庫 (Purpose-built) 與了解託管服務優勢

This document discusses purpose-built databases and managed database services on AWS. It begins by explaining how data needs are rapidly expanding and changing due to factors like microservices and analytics. It then introduces several purpose-built AWS databases like Amazon Aurora, DynamoDB, DocumentDB, ElastiCache, and Neptune that are optimized for different use cases. Benefits highlighted include performance, scalability, availability, and that they are fully managed. Two customer examples of Duolingo and Capital One migrating to AWS databases are provided. The document concludes by discussing the advantages of moving to managed databases on AWS over self-managed databases.

Are you Well-Architected? - AWS Online Tech Talks

Modernizing upstream workflows with aws storage - john mallory

Modernizing Upstream Workflows with AWS Storage Accelerating seismic data retrieval, getting better data protection and reliability, and providing a common AWS data platform for compute and graphic intensive processing, simulation and visualization workloads. Modernizing and transforming exploration and production workflows with AWS Storage services Accelerating seismic data retrieval, getting better data protection and reliability, and providing a common AWS data platform for compute and graphic intensive processing, simulation and visualization workloads. Capturing and processing streaming sensor data from remote oil rigs with Snowball Edge Providing a Data Lake foundation for a next generation Digital Oilfield IoT analytics platform with Amazon S3 Speaker: John Mallory - AWS Storage Business Development Manager

ENT204 The AWS Cloud Value Framework

The business case for cloud computing goes beyond total cost of ownership (TCO). AWS helps organizations reduce time to market and time spent on undifferentiated work and improve application availability. In this chalk talk, you learn about the AWS Cloud Value Framework. This framework quantifies not only TCO savings, but also the business value of agility, risk reduction, and efficiency, which you can use in building a case for change. After this session, you should be able to describe the benefits of the cloud to different stakeholders across your organization and present a comprehensive business case.

AWS Workloads on AWS

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This document discusses how cloud computing is transforming enterprise IT by allowing companies to focus on their core business. It provides an overview of traditional on-premises IT structures and how companies are migrating to cloud-first models using AWS. The summary discusses establishing a Cloud Center of Excellence to lead the migration effort and building hybrid cloud architectures to break dependencies on legacy systems over time.

Awsome Day Brussels - Training and Introduction

This presentation will give you the opening introduction on what is cloud computing with AWS, getting started, and the technical modules presented on the day. Module 2: AWS Infrastructure: Storage (S3, EBS), Compute (EC2), Networking (VPC) Module 3: Security, Identity, and Access Management: IAM Module 4: Databases: Amazon DynamoDB and Amazon RDS Module 5: AWS Elasticity and Management Tools: Auto Scaling, Elastic Load Balancing, Amazon CloudWatch, and AWS Trusted Advisor

Introduction to Amazon Web Services

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AWS Innovate Montreal Keynote - by Chris Munns

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2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 정윤진 솔루션스 아키텍트가 진행한 강연입니다. 강연 요약: 웹/모바일 앱의 형태를 띤 새로운 애플리케이션을 구축해 수익화하는 것은 엔터프라이즈 기업들이 클라우드 컴퓨팅 도입의 초기에 채택하기 좋은 전략입니다. 이 세션에서는 이러한 신규 애플리케이션을 처음부터 클라우드에서 구동해 안전 설계와 고가용성, 확장성, 비용 절감 등 클라우드의 이점을 최대한으로 발휘하기 위해서는 애플리케이션을 어떻게 설계하고 개발해야 하는지에 대해 다룰 예정입니다. 종전의 설계와 플랫폼에 비해 아주 적은 시간과 비용만으로 새롭게 애플리케이션을 구축할 수 있는 방법에 대해 들어보시기 바랍니다.

Day 1 - Introduction to Cloud Computing with Amazon Web Services

This document provides an introduction to Amazon Web Services (AWS) cloud computing. It begins with introductions and an agenda. It then discusses the history and services available on AWS, including computing, storage, databases, analytics, and deployment tools. Typical use cases are described like web/mobile apps, big data, and enterprise applications. Finally, common strategies for getting started with AWS are outlined such as using it for development/testing, building new apps, enhancing on-premises apps, hybrid cloud apps, and migrating existing apps.

Cost Optimisation on AWS

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Getting Started with Amazon Redshift

Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.

How TrueCar Gains Actionable Insights with Splunk Cloud PPT

The vast amount of big data that today’s companies generate makes it difficult to separate the signal from the noise. Organizations need to derive meaningful insights into operations and business to take action. TrueCar needed a better way to manage, search, and analyze their hybrid environment. In this webinar, you’ll learn how TrueCar centralized all of their data in one place using Amazon Kinesis and Splunk Cloud, gaining deep visibility, scalability, and the ability to monitor and troubleshoot operational issues – all while migrating to AWS.

FSI202 Machine Learning in Capital Markets

Financial Services companies are using machine learning to reduce fraud, streamline processes, and improve their bottom line. AWS provides tools that help them easily use AI tools like MXNet and Tensor Flow to perform predictive analytics, clustering, and more advanced data analyses. In this session, you'll hear how IHS Markit has used Machine Learning on AWS to help global banking institutions manage their commodities portfolios. You will also learn how the Amazon Machine Learning Service can take the hassle out of AI.

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State of the Union: Storage

Fortinet Automates Migration onto Layered Secure Workloads

Build a Serverless Web Application in One Day

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Are you Well-Architected? - AWS Online Tech Talks

Modernizing upstream workflows with aws storage - john mallory

ENT204 The AWS Cloud Value Framework

AWS Workloads on AWS

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AWS Enterprise Summit - 클라우드 네이티브 신규 애플리케이션 구축하기 - 정윤진

Day 1 - Introduction to Cloud Computing with Amazon Web Services

Cost Optimisation on AWS

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AWS Summit 2011: Overview of Security and Compliance in the cloud

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FSI202 Machine Learning in Capital Markets

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AWS Intro & History

AWS Roadshow Herbst 2013: AWS Überblick

Establishing a Scalable, Resilient Web Architecture | AWS Public Sector Summi...

Procurment managers march 2015

Cloudzone-Procurment managers march 2015

Procurment managers march 2015

Cloudzone-"What is cloud?" - Procurement Managers

Cloudzone -"What Is Cloud? " - procurment managers

AWS Webinar: What is Cloud Computing? November 2013

AWSome Day Intro Stockholm 201509

Welcome - Keynote - AWSome Day Helsinki 2017

AWSome Day Thailand Keynote 2015

AWS The Enterprise Cloud 2015

Swiss API Day - Amazon Web Service - Digital transformation with the AWS Cloud

Getting Started on AWS - AWSome Day Houston 2018

AWSome Day 2018 Keynote

More from Amazon Web Services Korea

[D3T1S01] Gen AI를 위한 Amazon Aurora 활용 사례 방법

[D3T1S06] Neptune Analytics with Vector Similarity Search

[D3T1S03] Amazon DynamoDB design puzzlers

[D3T1S04] Aurora PostgreSQL performance monitoring and troubleshooting by use...

[D3T1S07] AWS S3 - 클라우드 환경에서 데이터베이스 보호하기

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.

[D3T1S05] Aurora 혼합 구성 아키텍처를 사용하여 예상치 못한 트래픽 급증 대응하기

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.

[D3T1S02] Aurora Limitless Database Introduction

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.

[D3T2S01] Amazon Aurora MySQL 메이저 버전 업그레이드 및 Amazon B/G Deployments 실습

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.

[D3T2S03] Data&AI Roadshow 2024 - Amazon DocumentDB 실습

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.

AWS Modern Infra with Storage Roadshow 2023 - Day 2

AWS Modern Infra with Storage Roadshow 2023 - Day 1

사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...

Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...

Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...

Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...

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...

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 :::...

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 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...

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,...