SlideShare une entreprise Scribd logo
1  sur  46
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
p
)
% 2 B
@channyun
f
4 3 , 0 0 0 +
attendees
1 , 3 0 0 +
technical sessions
6 0 , 0 0 0 +
live stream registrations
o h
• -(( m y
• m
• m
• ,
% % ?PP
• t p
• ) 2 B AD
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
2GC M0:U MU r “
r
• D MYLI ? OP M 2 B % 29%
• 2UL IYY o
• GM UM FVOMSY ) t t
BUILDERS MUSICIANS
2GC
44.1%
7.7%
3.0%
2.3%
1.0%
1.4%
0.7%
2.2%
0.5%
0.9%
2 B ,, ) % 0
t ) o t
r t
Most robust, fully featured technology
infrastructure platform
CORE SERVICES
Integrated Networking
Rules Engine
Device Shadows
Device SDKs
Device Gateway
Registry
Local Compute
Custom Model
Training & Hosting
Conversational Chatbots
Virtual Desktops
App Streaming
Schema Conversion
Image & Scene
Recognition Sharing & Collaboration
Exabyte-Scale
Data Migration
Text to Speech
Corporate Email Application Migration
Database Migration
Regions
Availability Zones
Points of Presence
Data Warehousing
Business Intelligence
Elasticsearch
Hadoop/Spark
Data Pipelines
Streaming Data
Collection
ETL
Streaming Data
Analysis
Interactive SQL
Queries
Queuing & Notifications
Workflow
Email
Transcoding
Deep Learning
(Apache MXNet,
TensorFlow, & others)
Server MigrationCommunications
MARKETPLACE
Business Apps Business Intelligence DevOps Tools Security Networking StorageDatabases
API Gateway
Single Integrated Console
Identity
Sync
Mobile Analytics
Mobile App Testing
Targeted Push
Notifications
One-click App
Deployment
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource Templates
Build & Test
Analyze & Debug
Identity
Management
Key Management
& Storage
Monitoring &
Logs
Configuration
Compliance
Web Application
Firewall
Assessment
& Reporting
Resource & Usage
Auditing
Access Control
Account
Grouping
DDOS
Protection
TECHNICAL & BUSINESS SUPPORT
Support
Professional
Services
Optimization
Guidance
Partner
Ecosystem
Training &
Certification
Solutions Management Account Management Security & Billing Reports
Personalized
Dashboard
Monitoring
Manage
Resources
Data Integration
Integrated Identity &
Access
Integrated Resource &
Deployment Management
Integrated Devices
& Edge Systems
Resource Templates
Configuration
Tracking
Server
Management
Service
Catalogue
Search
MIGRATIONHYBRID ARCHITECTUREENTERPRISE APPSMACHINE LEARNINGIoTMOBILE SERVICESDEV OPSANALYTICS
APP SERVICES
INFRASTRUCTURE SECURITY & COMPLIANCE MANAGEMENT TOOLS
Compute
VMs, Auto-scaling, Load
Balancing, Containers,
Virtual Private Servers,
Batch Computing,
Cloud Functions, Elastic
GPUs, Edge Computing
Storage
Object, Blocks, File,
Archivals, Import/Export,
Exabyte-scale data transfer
CDN
Databases
Relational, NoSQL,
Caching, Migration,
PostgreSQL
compatible
Networking
VPC, DX, DNS
Facial Recognition &
Analysis
Facial Search
Patching
Contact Center
v 9C
First 5 years: 4 regions
2016–2018: 11 regions
Next 5 years: 7 regions
2G C
)(( g
” v
… v
• )(( I6
• s
516
24 48 61 82
159
280
722
1,017
LAUNCHES
2008 2009 2010 2011 2012 2013 2014 2015 2016
1,300+
2017
P A C E O F I N N O V A T I O N
New capabilities daily
2GC
p
. g
p
rz
2GC
PRIMITIVES FULLY-MANAGED SERVERLESS INTER-REGION
% i %
n t
INSTANCES
h n
k
Burstable
T 2
Big Data
Optimized
H 1
Memory
Optimized
R 4
In-memory
X 1
High
I/O
I 3
Compute
Intensive
C 5
Graphics
Intensive
G 3
General
Purpose
GPU
P 3
Memory
Intensive
X 1 e
General
Purpose
M 5
Virtual
Private
Servers
Bare Metal
High I/O
I 3 m
Dense
Storage
D 2 F 1
FPGA
A m a z o n
L i g h t s a i l
EC2 Elastic GPUs
Graphics acceleration
for EC2 instances
EC2 Spot Instances
• Hibernation
• No Bid Pricing
N E W
!
NEW! NEW! NEW!
NEW!
NEW!
2TI VU 64
o
2TI VU 64
4, :UY IUKM
(),
63B
t
4 :UY IUKM
()
(
-(
4- :UY IUKM
().
2OOHQURUOH
MTRP 8XQKRVMSPR
a )((
o
2TI VU 64
2 B t E WHRK
% % … e
VBQLKRK% VB2 % BG V4KOTKR E WHRK
2 B e
64 3I M M IS
NEW!
E HRK PO 2 B e t d r
2 B %
c
Available in
Public Preview
B
e
TM IS
GKPO 6- . . V, . % -) M3% )- C3 BB5% . IS
p 64
14% Price / Performance
Improvements
M4 M5
M5.24XLARGE H1.16XLARGE
Up to 16TB of locally
attached HDD storage
Up to 25 Gbps network
bandwidth with ENA
Up to 2X vCPU of
D2 Instance Type
NEW!
T2 Unlimited
CONTAINERS
3
ALB, Auto Scaling, Batch, Elastic Beanstalk, CloudFormation,
CloudTrail, CloudWatch Events, CloudWatch Logs,
CloudWatch Metrics, ECR, EC2 Spot, IAM, NLB, Parameter
Store, and VPC
2TI VU 6SIY K 4VU I UM CM KM 64C
2
1
y i
2 B h
y
64C r u h
G92D 23 ED E36?6D6C1
https://www.cncf.io/blog/2017/06/28/survey-shows-kubernetes-leading-orchestration-platform/
a4?4 il t wd
JMUM MY m
y s % 2GC
. c R JMUM MY b
Available in preview today
2TI VU 6SIY K 4VU I UM CM KM
NV JMUM MY 6 C
CloudTrail, CloudWatch,
ELB, IAM, VPC,
PrivateLink
NEW!
i
p 2 B
6 C A M M
m
d w 1
Available for ECS today
Available for EKS in 2018
2GC I OI M u
NEW!
i
y t
i
2 B i
d
I OI M 4VUYVSM
SERVERLESS
No server is easier to manage than no server! (2015)
ALL THE CODE YOU EVER WRITE
IS BUSINESS LOGIC
i
2GC 2 352 :C 6F6BHG96B6
AWS Lambda Amazon S3 Amazon CloudFormation AWS IoT
Amazon API Gateway Amazon DynamoDB Amazon CloudWatch Logs AWS IoT Button
AWS Step Functions Amazon Kinesis Streams Amazon CloudWatch Events AWS Greengrass
AWS X-Ray Amazon Kinesis Firehose AWS CodeCommit AWS Snowball Edge
Amazon SNS AWS Config AWS Lambda@Edge
Amazon SES Amazon Lex
Amazon Cognito Amazon CloudFront
AWS IoT
AWS Lambda
Event-driven services Event sources Lambda inside
CUSTOMERS LOVE LAMBDA
2GC ITJLI rz
32?9 HTKWHX
E?4
6C 4PRK (
P
NEW!
HNI H
2GC CM M SMYY 2WWS KI VU BMWVY V
b
d
b %
Available in preview today
NEW!
CM M SMYY BMWV A M M
2GC 4SV L
% % u 956
Generally available today
2 B p
u
AWS
CodePipeline
AWS
CodeDeploy
AWS
CodeCommit
AWS
CodeBuild
4 56BC2A
NEW!
4SV L 4VUYVSM
6F6BHD9:? :C 6F6BHD9:?
6F6BHD9:? :C 6F6BHD9:?
AWS
CodeDeploy
AWS
CloudTrail AWS Config and
Config Rules
AWS IAM
AWS
PrivateLink
Managed NAT
Gateway
VMware Cloud
on AWS
Group Resource
Tagging
.
t
2 B m
c m
p 1
( !
8 1 )0 2
p rz ” r
https://aws.amazon.com/new/reinvent
https://youtube.com/amazonwebservices
https://www.slideshare.net/AmazonWebServices
https://www.facebook.com/groups/awskrug
2 B % p h !
G O B U I L D
e !

Contenu connexe

Tendances

Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...
Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...
Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...Amazon Web Services
 
Machine learning in the physical world by Kip Larson from AWS IoT
Machine learning in the physical world by  Kip Larson from AWS IoTMachine learning in the physical world by  Kip Larson from AWS IoT
Machine learning in the physical world by Kip Larson from AWS IoTBill Liu
 
Deep learning at supercomputing scale by Rangan Sukumar from Cray
Deep learning at supercomputing scale  by Rangan Sukumar from CrayDeep learning at supercomputing scale  by Rangan Sukumar from Cray
Deep learning at supercomputing scale by Rangan Sukumar from CrayBill Liu
 
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)Amazon Web Services Korea
 
Dive deep into technical enhancements - re:Invent Come to London 2.0
Dive deep into technical enhancements - re:Invent Come to London 2.0Dive deep into technical enhancements - re:Invent Come to London 2.0
Dive deep into technical enhancements - re:Invent Come to London 2.0Amazon Web Services
 
Databases & Analytics - re:Invent Come to London 2.0
Databases & Analytics - re:Invent Come to London 2.0Databases & Analytics - re:Invent Come to London 2.0
Databases & Analytics - re:Invent Come to London 2.0Amazon Web Services
 
AWS Summit Seoul 2015 - AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석
AWS Summit Seoul 2015 -  AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석AWS Summit Seoul 2015 -  AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석
AWS Summit Seoul 2015 - AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석Amazon Web Services Korea
 
What's New with Big Data Analytics
What's New with Big Data AnalyticsWhat's New with Big Data Analytics
What's New with Big Data AnalyticsAmazon Web Services
 
Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017
Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017
Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017Amazon Web Services
 
Cloud Price Comparison - AWS vs Azure vs Google
Cloud Price Comparison - AWS vs Azure vs GoogleCloud Price Comparison - AWS vs Azure vs Google
Cloud Price Comparison - AWS vs Azure vs GoogleRightScale
 
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS Snapshots
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS SnapshotsCMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS Snapshots
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS SnapshotsAmazon Web Services
 
20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스
20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스
20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스Amazon Web Services Korea
 
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSK
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSKChoose Right Stream Storage: Amazon Kinesis Data Streams vs MSK
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSKSungmin Kim
 
Containers on AWS - re:Invent Comes to London 2.0
Containers on AWS - re:Invent Comes to London 2.0Containers on AWS - re:Invent Comes to London 2.0
Containers on AWS - re:Invent Comes to London 2.0Amazon Web Services
 
Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기 - 윤석찬 (AWS 테크에반젤리스트)
Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기  - 윤석찬 (AWS 테크에반젤리스트)Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기  - 윤석찬 (AWS 테크에반젤리스트)
Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기 - 윤석찬 (AWS 테크에반젤리스트)Amazon Web Services Korea
 
AWS Cloud for HPC and Big Data
AWS Cloud for HPC and Big DataAWS Cloud for HPC and Big Data
AWS Cloud for HPC and Big Datainside-BigData.com
 
Streaming Processing in Uber Marketplace for Kafka Summit 2016
Streaming Processing in Uber Marketplace for Kafka Summit 2016Streaming Processing in Uber Marketplace for Kafka Summit 2016
Streaming Processing in Uber Marketplace for Kafka Summit 2016Danny Yuan
 
Canada DevOps Conference
Canada DevOps ConferenceCanada DevOps Conference
Canada DevOps ConferenceRandall Hunt
 

Tendances (20)

Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...
Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...
Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix - CMP31...
 
Machine learning in the physical world by Kip Larson from AWS IoT
Machine learning in the physical world by  Kip Larson from AWS IoTMachine learning in the physical world by  Kip Larson from AWS IoT
Machine learning in the physical world by Kip Larson from AWS IoT
 
Deep learning at supercomputing scale by Rangan Sukumar from Cray
Deep learning at supercomputing scale  by Rangan Sukumar from CrayDeep learning at supercomputing scale  by Rangan Sukumar from Cray
Deep learning at supercomputing scale by Rangan Sukumar from Cray
 
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
 
Dive deep into technical enhancements - re:Invent Come to London 2.0
Dive deep into technical enhancements - re:Invent Come to London 2.0Dive deep into technical enhancements - re:Invent Come to London 2.0
Dive deep into technical enhancements - re:Invent Come to London 2.0
 
Databases & Analytics - re:Invent Come to London 2.0
Databases & Analytics - re:Invent Come to London 2.0Databases & Analytics - re:Invent Come to London 2.0
Databases & Analytics - re:Invent Come to London 2.0
 
AWS Summit Seoul 2015 - AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석
AWS Summit Seoul 2015 -  AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석AWS Summit Seoul 2015 -  AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석
AWS Summit Seoul 2015 - AWS 클라우드를 활용한 빅데이터 및 실시간 스트리밍 분석
 
What's New with Big Data Analytics
What's New with Big Data AnalyticsWhat's New with Big Data Analytics
What's New with Big Data Analytics
 
Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017
Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017
Airbnb Runs on Amazon Aurora - DAT331 - re:Invent 2017
 
Cloud Price Comparison - AWS vs Azure vs Google
Cloud Price Comparison - AWS vs Azure vs GoogleCloud Price Comparison - AWS vs Azure vs Google
Cloud Price Comparison - AWS vs Azure vs Google
 
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS Snapshots
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS SnapshotsCMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS Snapshots
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS Snapshots
 
20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스
20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스
20150724 제10회 부산 모바일 포럼 - 클라우드컴퓨팅과 함께하는 아마존 웹 서비스
 
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSK
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSKChoose Right Stream Storage: Amazon Kinesis Data Streams vs MSK
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSK
 
re:Invent 2017 Recap
re:Invent 2017 Recap re:Invent 2017 Recap
re:Invent 2017 Recap
 
Containers on AWS - re:Invent Comes to London 2.0
Containers on AWS - re:Invent Comes to London 2.0Containers on AWS - re:Invent Comes to London 2.0
Containers on AWS - re:Invent Comes to London 2.0
 
Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기 - 윤석찬 (AWS 테크에반젤리스트)
Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기  - 윤석찬 (AWS 테크에반젤리스트)Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기  - 윤석찬 (AWS 테크에반젤리스트)
Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기 - 윤석찬 (AWS 테크에반젤리스트)
 
AWS Cloud for HPC and Big Data
AWS Cloud for HPC and Big DataAWS Cloud for HPC and Big Data
AWS Cloud for HPC and Big Data
 
Streaming Processing in Uber Marketplace for Kafka Summit 2016
Streaming Processing in Uber Marketplace for Kafka Summit 2016Streaming Processing in Uber Marketplace for Kafka Summit 2016
Streaming Processing in Uber Marketplace for Kafka Summit 2016
 
AWS re:Invent 2017 re:Cap
AWS re:Invent 2017 re:CapAWS re:Invent 2017 re:Cap
AWS re:Invent 2017 re:Cap
 
Canada DevOps Conference
Canada DevOps ConferenceCanada DevOps Conference
Canada DevOps Conference
 

Similaire à AWS Reinvent 2017: Overview of Announcements and New Services

2018512 AWS上での機械学習システムの構築とSageMaker
2018512 AWS上での機械学習システムの構築とSageMaker2018512 AWS上での機械学習システムの構築とSageMaker
2018512 AWS上での機械学習システムの構築とSageMakerYasuhiro Matsuo
 
Edge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-timeEdge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-timeShuquan Huang
 
Leveraging Autodesk Products with FME: AutoCAD to GIS is Only the Beginning
Leveraging Autodesk Products with FME: AutoCAD to GIS is Only the BeginningLeveraging Autodesk Products with FME: AutoCAD to GIS is Only the Beginning
Leveraging Autodesk Products with FME: AutoCAD to GIS is Only the BeginningSafe Software
 
아마존의 딥러닝 기술 활용 사례
아마존의 딥러닝 기술 활용 사례아마존의 딥러닝 기술 활용 사례
아마존의 딥러닝 기술 활용 사례NAVER Engineering
 
Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...
Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...
Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...Amazon Web Services
 
AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)
AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)
AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)Amazon Web Services Korea
 
GPSTEC324_STORAGE FOR HPC IN THE CLOUD
GPSTEC324_STORAGE FOR HPC IN THE CLOUDGPSTEC324_STORAGE FOR HPC IN THE CLOUD
GPSTEC324_STORAGE FOR HPC IN THE CLOUDAmazon Web Services
 
GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017
GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017
GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017Amazon Web Services
 
AWS vs Azure vs Google (GCP) - Slides
AWS vs Azure vs Google (GCP) - SlidesAWS vs Azure vs Google (GCP) - Slides
AWS vs Azure vs Google (GCP) - SlidesTobyWilman
 
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트Amazon Web Services Korea
 
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)Samy Fodil
 
Highway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup MunichHighway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup MunichChristian Deger
 
[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...
[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...
[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...Naoki (Neo) SATO
 
데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)Amazon Web Services Korea
 
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...AMD Developer Central
 
Investing in Cloud Integration at Microsoft IT
Investing in Cloud Integration at Microsoft ITInvesting in Cloud Integration at Microsoft IT
Investing in Cloud Integration at Microsoft ITBizTalk360
 
Moving to the cloud azure, office365, and intune - concurrency
Moving to the cloud   azure, office365, and intune - concurrencyMoving to the cloud   azure, office365, and intune - concurrency
Moving to the cloud azure, office365, and intune - concurrencyConcurrency, Inc.
 
Real time analytics in Azure IoT
Real time analytics in Azure IoT Real time analytics in Azure IoT
Real time analytics in Azure IoT Sam Vanhoutte
 
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingApplying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingAndreas Grabner
 

Similaire à AWS Reinvent 2017: Overview of Announcements and New Services (20)

2018512 AWS上での機械学習システムの構築とSageMaker
2018512 AWS上での機械学習システムの構築とSageMaker2018512 AWS上での機械学習システムの構築とSageMaker
2018512 AWS上での機械学習システムの構築とSageMaker
 
Edge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-timeEdge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-time
 
Leveraging Autodesk Products with FME: AutoCAD to GIS is Only the Beginning
Leveraging Autodesk Products with FME: AutoCAD to GIS is Only the BeginningLeveraging Autodesk Products with FME: AutoCAD to GIS is Only the Beginning
Leveraging Autodesk Products with FME: AutoCAD to GIS is Only the Beginning
 
아마존의 딥러닝 기술 활용 사례
아마존의 딥러닝 기술 활용 사례아마존의 딥러닝 기술 활용 사례
아마존의 딥러닝 기술 활용 사례
 
Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...
Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...
Getting Cloudy with Remote Graphics and GPU Compute Using G2 instances (CPN21...
 
AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)
AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)
AWS re:Invent 2017 주요 신규 서비스 분야별 요약 - 윤석찬 (AWS테크에반젤리스트)
 
GPSTEC324_STORAGE FOR HPC IN THE CLOUD
GPSTEC324_STORAGE FOR HPC IN THE CLOUDGPSTEC324_STORAGE FOR HPC IN THE CLOUD
GPSTEC324_STORAGE FOR HPC IN THE CLOUD
 
GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017
GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017
GPS: Storage for HPC in the Cloud - GPSTEC324 - re:Invent 2017
 
re:Invent re:cap 2020
re:Invent re:cap 2020re:Invent re:cap 2020
re:Invent re:cap 2020
 
AWS vs Azure vs Google (GCP) - Slides
AWS vs Azure vs Google (GCP) - SlidesAWS vs Azure vs Google (GCP) - Slides
AWS vs Azure vs Google (GCP) - Slides
 
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
 
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)
 
Highway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup MunichHighway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup Munich
 
[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...
[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...
[Azure Council Experts (ACE) 第29回定例会] Microsoft Azureアップデート情報 (2018/04/20-201...
 
데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
데이터 기반 의사결정을 통한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
 
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...
 
Investing in Cloud Integration at Microsoft IT
Investing in Cloud Integration at Microsoft ITInvesting in Cloud Integration at Microsoft IT
Investing in Cloud Integration at Microsoft IT
 
Moving to the cloud azure, office365, and intune - concurrency
Moving to the cloud   azure, office365, and intune - concurrencyMoving to the cloud   azure, office365, and intune - concurrency
Moving to the cloud azure, office365, and intune - concurrency
 
Real time analytics in Azure IoT
Real time analytics in Azure IoT Real time analytics in Azure IoT
Real time analytics in Azure IoT
 
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingApplying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
 

Plus de Amazon Web Services Korea

AWS Modern Infra with Storage Roadshow 2023 - Day 2
AWS Modern Infra with Storage Roadshow 2023 - Day 2AWS Modern Infra with Storage Roadshow 2023 - Day 2
AWS Modern Infra with Storage Roadshow 2023 - Day 2Amazon Web Services Korea
 
AWS Modern Infra with Storage Roadshow 2023 - Day 1
AWS Modern Infra with Storage Roadshow 2023 - Day 1AWS Modern Infra with Storage Roadshow 2023 - Day 1
AWS Modern Infra with Storage Roadshow 2023 - Day 1Amazon Web Services Korea
 
사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...
사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...
사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...Amazon Web Services Korea
 
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...Amazon Web Services Korea
 
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...Amazon Web Services Korea
 
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...Amazon Web Services Korea
 
[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...
[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...
[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...Amazon Web Services Korea
 
Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...
Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...
Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...Amazon Web Services Korea
 
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...Amazon Web Services Korea
 
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...Amazon Web Services Korea
 
Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...
Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...
Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...Amazon Web Services Korea
 
Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...
Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...
Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...Amazon Web Services Korea
 
From Insights to Action, How to build and maintain a Data Driven Organization...
From Insights to Action, How to build and maintain a Data Driven Organization...From Insights to Action, How to build and maintain a Data Driven Organization...
From Insights to Action, How to build and maintain a Data Driven Organization...Amazon Web Services Korea
 
[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...
[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...
[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...Amazon Web Services Korea
 
Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...
Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...
Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...Amazon Web Services Korea
 
LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...
LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...
LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...Amazon Web Services Korea
 
KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...
KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...
KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...Amazon Web Services Korea
 
SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...
SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...
SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...Amazon Web Services Korea
 
코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...
코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...
코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...Amazon Web Services Korea
 
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...Amazon Web Services Korea
 

Plus de Amazon Web Services Korea (20)

AWS Modern Infra with Storage Roadshow 2023 - Day 2
AWS Modern Infra with Storage Roadshow 2023 - Day 2AWS Modern Infra with Storage Roadshow 2023 - Day 2
AWS Modern Infra with Storage Roadshow 2023 - Day 2
 
AWS Modern Infra with Storage Roadshow 2023 - Day 1
AWS Modern Infra with Storage Roadshow 2023 - Day 1AWS Modern Infra with Storage Roadshow 2023 - Day 1
AWS Modern Infra with Storage Roadshow 2023 - Day 1
 
사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...
사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...
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 DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
 
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...
 
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...
 
[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...
[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...
[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...
 
Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...
Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...
Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...
 
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...
 
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...
 
Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...
Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...
Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...
 
Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...
Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...
Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...
 
From Insights to Action, How to build and maintain a Data Driven Organization...
From Insights to Action, How to build and maintain a Data Driven Organization...From Insights to Action, How to build and maintain a Data Driven Organization...
From Insights to Action, How to build and maintain a Data Driven Organization...
 
[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...
[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...
[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...
 
Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...
Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...
Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...
 
LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...
LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...
LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...
 
KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...
KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...
KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...
 
SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...
SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...
SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...
 
코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...
코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...
코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...
 
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...
 

Dernier

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 

Dernier (20)

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 

AWS Reinvent 2017: Overview of Announcements and New Services

  • 1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. p ) % 2 B @channyun
  • 2. f
  • 3. 4 3 , 0 0 0 + attendees 1 , 3 0 0 + technical sessions 6 0 , 0 0 0 + live stream registrations
  • 4. o h • -(( m y • m • m • , % % ?PP • t p • ) 2 B AD
  • 5. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 2GC M0:U MU r “ r • D MYLI ? OP M 2 B % 29% • 2UL IYY o • GM UM FVOMSY ) t t
  • 8. Most robust, fully featured technology infrastructure platform CORE SERVICES Integrated Networking Rules Engine Device Shadows Device SDKs Device Gateway Registry Local Compute Custom Model Training & Hosting Conversational Chatbots Virtual Desktops App Streaming Schema Conversion Image & Scene Recognition Sharing & Collaboration Exabyte-Scale Data Migration Text to Speech Corporate Email Application Migration Database Migration Regions Availability Zones Points of Presence Data Warehousing Business Intelligence Elasticsearch Hadoop/Spark Data Pipelines Streaming Data Collection ETL Streaming Data Analysis Interactive SQL Queries Queuing & Notifications Workflow Email Transcoding Deep Learning (Apache MXNet, TensorFlow, & others) Server MigrationCommunications MARKETPLACE Business Apps Business Intelligence DevOps Tools Security Networking StorageDatabases API Gateway Single Integrated Console Identity Sync Mobile Analytics Mobile App Testing Targeted Push Notifications One-click App Deployment DevOps Resource Management Application Lifecycle Management Containers Triggers Resource Templates Build & Test Analyze & Debug Identity Management Key Management & Storage Monitoring & Logs Configuration Compliance Web Application Firewall Assessment & Reporting Resource & Usage Auditing Access Control Account Grouping DDOS Protection TECHNICAL & BUSINESS SUPPORT Support Professional Services Optimization Guidance Partner Ecosystem Training & Certification Solutions Management Account Management Security & Billing Reports Personalized Dashboard Monitoring Manage Resources Data Integration Integrated Identity & Access Integrated Resource & Deployment Management Integrated Devices & Edge Systems Resource Templates Configuration Tracking Server Management Service Catalogue Search MIGRATIONHYBRID ARCHITECTUREENTERPRISE APPSMACHINE LEARNINGIoTMOBILE SERVICESDEV OPSANALYTICS APP SERVICES INFRASTRUCTURE SECURITY & COMPLIANCE MANAGEMENT TOOLS Compute VMs, Auto-scaling, Load Balancing, Containers, Virtual Private Servers, Batch Computing, Cloud Functions, Elastic GPUs, Edge Computing Storage Object, Blocks, File, Archivals, Import/Export, Exabyte-scale data transfer CDN Databases Relational, NoSQL, Caching, Migration, PostgreSQL compatible Networking VPC, DX, DNS Facial Recognition & Analysis Facial Search Patching Contact Center v 9C
  • 9. First 5 years: 4 regions 2016–2018: 11 regions Next 5 years: 7 regions 2G C
  • 11. … v • )(( I6 • s
  • 12. 516 24 48 61 82 159 280 722 1,017 LAUNCHES 2008 2009 2010 2011 2012 2013 2014 2015 2016 1,300+ 2017 P A C E O F I N N O V A T I O N New capabilities daily 2GC
  • 14. 2GC PRIMITIVES FULLY-MANAGED SERVERLESS INTER-REGION % i % n t
  • 16. h n k Burstable T 2 Big Data Optimized H 1 Memory Optimized R 4 In-memory X 1 High I/O I 3 Compute Intensive C 5 Graphics Intensive G 3 General Purpose GPU P 3 Memory Intensive X 1 e General Purpose M 5 Virtual Private Servers Bare Metal High I/O I 3 m Dense Storage D 2 F 1 FPGA A m a z o n L i g h t s a i l EC2 Elastic GPUs Graphics acceleration for EC2 instances EC2 Spot Instances • Hibernation • No Bid Pricing N E W ! NEW! NEW! NEW! NEW! NEW!
  • 18. o 2TI VU 64 4, :UY IUKM (), 63B t 4 :UY IUKM () ( -( 4- :UY IUKM (). 2OOHQURUOH MTRP 8XQKRVMSPR a )((
  • 19. o 2TI VU 64 2 B t E WHRK % % … e VBQLKRK% VB2 % BG V4KOTKR E WHRK 2 B e
  • 20. 64 3I M M IS NEW! E HRK PO 2 B e t d r 2 B % c Available in Public Preview B e TM IS GKPO 6- . . V, . % -) M3% )- C3 BB5% . IS
  • 21. p 64 14% Price / Performance Improvements M4 M5 M5.24XLARGE H1.16XLARGE Up to 16TB of locally attached HDD storage Up to 25 Gbps network bandwidth with ENA Up to 2X vCPU of D2 Instance Type NEW! T2 Unlimited
  • 23. 3 ALB, Auto Scaling, Batch, Elastic Beanstalk, CloudFormation, CloudTrail, CloudWatch Events, CloudWatch Logs, CloudWatch Metrics, ECR, EC2 Spot, IAM, NLB, Parameter Store, and VPC 2TI VU 6SIY K 4VU I UM CM KM 64C 2 1 y i 2 B h y
  • 24. 64C r u h
  • 25. G92D 23 ED E36?6D6C1 https://www.cncf.io/blog/2017/06/28/survey-shows-kubernetes-leading-orchestration-platform/ a4?4 il t wd JMUM MY m y s % 2GC . c R JMUM MY b
  • 26. Available in preview today 2TI VU 6SIY K 4VU I UM CM KM NV JMUM MY 6 C CloudTrail, CloudWatch, ELB, IAM, VPC, PrivateLink NEW! i p 2 B
  • 27. 6 C A M M
  • 28.
  • 30. Available for ECS today Available for EKS in 2018 2GC I OI M u NEW! i y t i 2 B i d
  • 31. I OI M 4VUYVSM
  • 33. No server is easier to manage than no server! (2015) ALL THE CODE YOU EVER WRITE IS BUSINESS LOGIC i
  • 34. 2GC 2 352 :C 6F6BHG96B6 AWS Lambda Amazon S3 Amazon CloudFormation AWS IoT Amazon API Gateway Amazon DynamoDB Amazon CloudWatch Logs AWS IoT Button AWS Step Functions Amazon Kinesis Streams Amazon CloudWatch Events AWS Greengrass AWS X-Ray Amazon Kinesis Firehose AWS CodeCommit AWS Snowball Edge Amazon SNS AWS Config AWS Lambda@Edge Amazon SES Amazon Lex Amazon Cognito Amazon CloudFront AWS IoT AWS Lambda Event-driven services Event sources Lambda inside
  • 35.
  • 37. 2GC ITJLI rz 32?9 HTKWHX E?4 6C 4PRK ( P NEW! HNI H
  • 38. 2GC CM M SMYY 2WWS KI VU BMWVY V b d b % Available in preview today NEW!
  • 39. CM M SMYY BMWV A M M
  • 40. 2GC 4SV L % % u 956 Generally available today 2 B p u AWS CodePipeline AWS CodeDeploy AWS CodeCommit AWS CodeBuild 4 56BC2A NEW!
  • 43. 6F6BHD9:? :C 6F6BHD9:? AWS CodeDeploy AWS CloudTrail AWS Config and Config Rules AWS IAM AWS PrivateLink Managed NAT Gateway VMware Cloud on AWS Group Resource Tagging
  • 44. . t 2 B m c m p 1 ( ! 8 1 )0 2
  • 45. p rz ” r https://aws.amazon.com/new/reinvent https://youtube.com/amazonwebservices https://www.slideshare.net/AmazonWebServices https://www.facebook.com/groups/awskrug 2 B % p h !
  • 46. G O B U I L D e !