AWS re:Invent 2016: Simplified Data Center Migration—Lessons Learned by Live Nation (STG210)

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As the global leader of live entertainment, Live Nation promotes and produces over 22,000 events annually, operates out of 37 countries, and cultivates over 530 million fans globally. To focus on the growth of the business and shed increasing infrastructure costs, the company made the strategic decision to get out of the data center business and go all in with the cloud. Using instrumental services like AWS Import/Export Snowball, VM Import/Export, AWS CloudFormation and AWS Identity and Access Management, VP Cloud Services Jake Burns quickly and efficiently migrated priority business and operational applications, allowing for immediate cost efficiencies. Learn how AWS offerings like Snowball played a decisive role in Live Nation's ability to easily migrate data and enable end users to quickly access applications to minimize operational impact.

Technology

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Marc Trimuschat, AWS Storage Services
Hari Tatrakal, Live Nation
November 2016
Simplified Data Center Migration
Lessons Learned by Live Nation
STG210

Storage is the gravity
for cloud applications

Batches and Streams
Direct
Connect
Snowball,
Snowball Edge,
Snowmobile
3rd Party
Connectors
Transfer
Acceleration
Storage
Gateway
Kinesis Firehose
File
Amazon EFS
Block
Amazon EBS
(persistent)
Object
Amazon GlacierAmazon S3 Amazon EC2
Instance Store
(ephemeral)
Internet/VPN CloudFront

What is AWS Snowball?
Petabyte-scale data transport
E-ink shipping
label
Ruggedized case
“8.5G impact”
All data encrypted
end-to-end
Rain- and dust-
resistant
Tamper-resistant
case and
electronics
80 TB
10 GE network

AWS storage migration expansion:
AWS Snowball
Transfer
Capacity
Integration
Regional
Availability
80TB model
HDFS support
3rd party API
HIPAA support
All EXCEPT:
Asia Pacific (Singapore)
Asia Pacific (Seoul)
China (Beijing)

How fast is Snowball?
• Less than 1 day to transfer 200TB via 3x10G connections with 3
Snowballs, less than 1 week including shipping
• Number of days to transfer 200TB via the Internet at typical utilizations
Internet Connection Speed
Utilization 1Gbps 500Mbps 300Mbps 150Mbps
25% 71 141 236 471
50% 36 71 118 236
75% 24 47 225 157

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Hari Tatrakal
Director Cloud Data Services

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Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline. Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.

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Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali. In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

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1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Marc Trimuschat, AWS Storage Services Hari Tatrakal, Live Nation November 2016 Simplified Data Center Migration Lessons Learned by Live Nation STG210

2. Storage is the gravity for cloud applications

3. Batches and Streams Direct Connect Snowball, Snowball Edge, Snowmobile 3rd Party Connectors Transfer Acceleration Storage Gateway Kinesis Firehose File Amazon EFS Block Amazon EBS (persistent) Object Amazon GlacierAmazon S3 Amazon EC2 Instance Store (ephemeral) Internet/VPN CloudFront

4. What is AWS Snowball? Petabyte-scale data transport E-ink shipping label Ruggedized case “8.5G impact” All data encrypted end-to-end Rain- and dust- resistant Tamper-resistant case and electronics 80 TB 10 GE network

5. AWS storage migration expansion: AWS Snowball Transfer Capacity Integration Regional Availability 80TB model HDFS support 3rd party API HIPAA support All EXCEPT: Asia Pacific (Singapore) Asia Pacific (Seoul) China (Beijing)

6. How it works

7. How fast is Snowball? • Less than 1 day to transfer 200TB via 3x10G connections with 3 Snowballs, less than 1 week including shipping • Number of days to transfer 200TB via the Internet at typical utilizations Internet Connection Speed Utilization 1Gbps 500Mbps 300Mbps 150Mbps 25% 71 141 236 471 50% 36 71 118 236 75% 24 47 225 157

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