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Commvault on AWS Comprehensive Cloud Data Management for Hybrid IT Table of Contents
Commvault on AWS Comprehensive Cloud Data Management for Hybrid IT Table of Contents The Data Management Challenge 3 Commvault and Amazon Web Services 4 Benefits 7 Case Study: Dow Jones 8 Getting Started 9 2 The Data Management Challenge Today, more data is being generated than ever before. Keeping up with the rapid pace of data growth presents a series of challenges. Enterprise organizations are collecting petabytes of customer and application data that must be backed up and accessible to meet compliance requirements. Increased regulation around data retention policies make it more difficult to manage backup and archive storage, as critical data may be required to be kept for years and maybe difficult to find. Further complicating matters, point solutions often overlap and leave gaps where data is unprotected and require additional staff to manage them. These issues lead to increased costs, yet many IT departments are facing budget cuts and cannot expand upon their capital to meet increased performance demands. Today’s hybrid IT organizations realize cloud can help solve many data storage issues. With cloud storage comes the need for a comprehensive data management platform to manage data both on-premises and in the cloud. Savvy organizations streamline IT operations and reduce cloud waste with flexible orchestration to automate resource provisioning, policies and routine tasks. This eBook will demonstrate how Commvault and Amazon Web Services (AWS) deliver a cost-effective data management solution that addresses all of these challenges with a single, scalable solution. 3 Commvault and Amazon Web Services Unlike most backup and recovery solutions, Commvault offers a single data platform solution for all backup and recovery needs; as opposed to having to several point solutions for each use case (i.e. -
Timeline 1994 July Company Incorporated 1995 July Amazon
Timeline 1994 July Company Incorporated 1995 July Amazon.com Sells First Book, “Fluid Concepts & Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought” 1996 July Launches Amazon.com Associates Program 1997 May Announces IPO, Begins Trading on NASDAQ Under “AMZN” September Introduces 1-ClickTM Shopping November Opens Fulfillment Center in New Castle, Delaware 1998 February Launches Amazon.com Advantage Program April Acquires Internet Movie Database June Opens Music Store October Launches First International Sites, Amazon.co.uk (UK) and Amazon.de (Germany) November Opens DVD/Video Store 1999 January Opens Fulfillment Center in Fernley, Nevada March Launches Amazon.com Auctions April Opens Fulfillment Center in Coffeyville, Kansas May Opens Fulfillment Centers in Campbellsville and Lexington, Kentucky June Acquires Alexa Internet July Opens Consumer Electronics, and Toys & Games Stores September Launches zShops October Opens Customer Service Center in Tacoma, Washington Acquires Tool Crib of the North’s Online and Catalog Sales Division November Opens Home Improvement, Software, Video Games and Gift Ideas Stores December Jeff Bezos Named TIME Magazine “Person Of The Year” 2000 January Opens Customer Service Center in Huntington, West Virginia May Opens Kitchen Store August Announces Toys “R” Us Alliance Launches Amazon.fr (France) October Opens Camera & Photo Store November Launches Amazon.co.jp (Japan) Launches Marketplace Introduces First Free Super Saver Shipping Offer (Orders Over $100) 2001 April Announces Borders Group Alliance August Introduces In-Store Pick Up September Announces Target Stores Alliance October Introduces Look Inside The BookTM 2002 June Launches Amazon.ca (Canada) July Launches Amazon Web Services August Lowers Free Super Saver Shipping Threshold to $25 September Opens Office Products Store November Opens Apparel & Accessories Store 2003 April Announces National Basketball Association Alliance June Launches Amazon Services, Inc. -
AWS Managed Services (AMS)
AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Version September 16, 2020 AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan AWS Managed Services (AMS) Application Developer's Guide: AMS Advanced Operations Plan Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Table of Contents Application Onboarding to AMS Introduction ........................................................................................ 1 What is Application Onboarding? ................................................................................................. 1 What we do, what we do not do .................................................................................................. 1 AMS Amazon Machine Images (AMIs) ............................................................................................ 2 Security enhanced AMIs ...................................................................................................... 4 Key terms ................................................................................................................................. -
Performance Efficiency Pillar
Performance Efficiency Pillar AWS Well-Architected Framework Performance Efficiency Pillar AWS Well-Architected Framework Performance Efficiency Pillar: AWS Well-Architected Framework Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Performance Efficiency Pillar AWS Well-Architected Framework Table of Contents Abstract and Introduction ................................................................................................................... 1 Abstract .................................................................................................................................... 1 Introduction .............................................................................................................................. 1 Performance Efficiency ....................................................................................................................... 2 Design Principles ........................................................................................................................ 2 Definition ................................................................................................................................. -
Amazon Silk Developer Guide Amazon Silk Developer Guide
Amazon Silk Developer Guide Amazon Silk Developer Guide Amazon Silk: Developer Guide Copyright © 2015 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. The following are trademarks of Amazon Web Services, Inc.: Amazon, Amazon Web Services Design, AWS, Amazon CloudFront, AWS CloudTrail, AWS CodeDeploy, Amazon Cognito, Amazon DevPay, DynamoDB, ElastiCache, Amazon EC2, Amazon Elastic Compute Cloud, Amazon Glacier, Amazon Kinesis, Kindle, Kindle Fire, AWS Marketplace Design, Mechanical Turk, Amazon Redshift, Amazon Route 53, Amazon S3, Amazon VPC, and Amazon WorkDocs. In addition, Amazon.com graphics, logos, page headers, button icons, scripts, and service names are trademarks, or trade dress of Amazon in the U.S. and/or other countries. Amazon©s trademarks and trade dress may not be used in connection with any product or service that is not Amazon©s, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS documentation posted on the Alpha server is for internal testing and review purposes only. It is not intended for external customers. Amazon Silk Developer Guide Table of Contents What Is Amazon Silk? .................................................................................................................... 1 Split Browser Architecture ...................................................................................................... -
Migrating to Google Cloud Storage Nearline from Amazon Glacier
Migrating to Google Cloud PAUL NEWSON | 07/23/15 Storage Nearline Migrating to Google Cloud Storage Nearline From Amazon Glacier Page 1 Migrating to Google Cloud PAUL NEWSON | 07/23/15 Storage Nearline Migrating to Google Cloud Storage Nearline From Amazon Glacier Table of contents: Summary Overview Prerequisites Create a Workspace and Staging Area Create a Bucket Using the Nearline Storage Class Choose a Naming Convention Begin Storing New Data in Cloud Storage Nearline Migrating Data Stored Directly in Amazon Glacier Get an Inventory of Archives Make an Archive Available for Download Download the Archive to a Staging Area Upload Data to Cloud Storage Nearline Migrating in Batches Migrating Data Stored in Amazon Glacier via Amazon S3 Get an Inventory of Archives Make an Archive Available for Download Upload Data to Cloud Storage Nearline Migrating in Batches Understanding the Cost of Retrieving Data from Amazon Glacier Recommendations Appendix A: Creating a Workspace and Staging Area Create or Select a Cloud Platform Project Install and Configure the Cloud SDK Create and Configure a Compute Engine Instance References Page 2 Migrating to Google Cloud PAUL NEWSON | 07/23/15 Storage Nearline Page 3 Migrating to Google Cloud PAUL NEWSON | 07/23/15 Storage Nearline Summary Google Cloud Storage Nearline is a low cost storage class available in Google Cloud Storage which is attractive for archival workloads, such as cold storage and disaster recovery. Amazon Glacier also provides a storage service suitable for archival workloads, but retrieval latency in Amazon Glacier is measured in hours whereas Google Cloud Storage Nearline provides retrieval latency measured in seconds. -
Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud AWS Whitepaper
Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud: AWS Whitepaper Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Web Application Hosting in the AWS Cloud AWS Whitepaper Table of Contents Abstract ............................................................................................................................................ 1 Abstract .................................................................................................................................... 1 An overview of traditional web hosting ................................................................................................ 2 Web application hosting in the cloud using AWS .................................................................................... 3 How AWS can solve common web application hosting issues ........................................................... 3 A cost-effective alternative to oversized fleets needed to handle peaks ..................................... 3 A scalable solution to handling unexpected traffic -
Implementación De Los Algoritmos De Factorización 201
Universidad Complutense de Madrid Facultad de Informática Sistemas Informáticos 2010/2011 RSA@Cloud Criptoanálisis eficiente en la Nube Autores: Directores de proyecto: Alberto Megía Negrillo José Luis Vázquez-Poletti Antonio Molinera Lamas Ignacio Martin Llorente José Antonio Rueda Sánchez Dpto. Arquitectura de Computadores Página 0 Facultad de Informática UCM RSA@Cloud Sistemas Informáticos – FDI Se autoriza a la Universidad Complutense a difundir y utilizar con fines académicos, no comerciales y mencionando expresamente a sus autores, tanto la propia memoria, como el código, la documentación y/o el prototipo desarrollado. Alberto Megía Negrillo Antonio Molinera Lamas José Antonio Rueda Sánchez Página 1 Facultad de Informática UCM RSA@Cloud Sistemas Informáticos – FDI Página 2 Facultad de Informática UCM RSA@Cloud Sistemas Informáticos – FDI Agradecimientos Un trabajo como este no habría sido posible sin la cooperación de mucha gente. En primer lugar queremos agradecérselo a nuestras familias que tanto han confiado y nos han dado. A nuestros directores José Luis Vázquez-Poletti e Ignacio Martín Llorente, por conseguir llevar adelante este proyecto. Por último, a todas y cada una de las personas que forman parte de la Facultad de Informática de la Universidad Complutense de Madrid, nuestro hogar durante estos años. Página 3 Facultad de Informática UCM RSA@Cloud Sistemas Informáticos – FDI Página 4 Facultad de Informática UCM RSA@Cloud Sistemas Informáticos – FDI Resumen En el presente documento se describe un sistema que aprovecha las virtudes de la computación Cloud y el paralelismo para la factorización de números grandes, base de la seguridad del criptosistema RSA, mediante el empleo de diferentes algoritmos matemáticos como la división por tentativa y criba cuadrática. -
Liberty Mutual Exhibit 1015
TIMELINE 2012 July Introduces GameCircle Introduces Game Connect Opens Portal for International Mobile App Distribution June Amazon Publishing Acquires Avalon Books May Amazon Studios to Develop Original Comedy and Children’s Series for Amazon Instant Video April Announces First Quarter Sales up 34% to $13.18 Billion Introduces AmazonSupply Amazon Web Services Introduces AWS Marketplace Introduces eBooks Kindle en Español March Acquires Kiva Systems, Inc. February Launches Sports Collectibles Store January Announces Fourth Quarter Sales up 35% to $17.43 Billion Amazon Web Services Launches Amazon DynamoDB 2011 December Amazon Web Services Launches Brazil Datacenters for Its Cloud Computing Platform Introduces KDP Select Amazon Publishing to Acquire Marshall Cavendish US Children’s Books Titles Page 000001 November Introduces The Kindle Owners’ Lending Library October Announces Third Quarter Sales up 44% to $10.88 Billion September Introduces Amazon Silk Introduces Kindle Fire, Kindle Touch and Kindle Touch 3G Kindle Books Available at Thousands of Local Libraries August Amazon Web Services Announces Global Rollout of Amazon Virtual Private Cloud (Amazon VPC) Introduces Kindle Cloud Reader July Announces Second Quarter Sales up 51% to $9.91 Billion Endless.com Announces International Shipping to over 50 Countries Worldwide AT&T to Sponsor Kindle 3G June Launches AmazonLocal John Locke Becomes First Independently Published Author to Join the "Kindle Million Club" May Announces MYHABIT.COM Amazon.com Now Selling More Kindle Books Than Print -
Amazon Mechanical Turk Requester UI Guide Amazon Mechanical Turk Requester UI Guide
Amazon Mechanical Turk Requester UI Guide Amazon Mechanical Turk Requester UI Guide Amazon Mechanical Turk: Requester UI Guide Copyright © 2014 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. The following are trademarks of Amazon Web Services, Inc.: Amazon, Amazon Web Services Design, AWS, Amazon CloudFront, Cloudfront, Amazon DevPay, DynamoDB, ElastiCache, Amazon EC2, Amazon Elastic Compute Cloud, Amazon Glacier, Kindle, Kindle Fire, AWS Marketplace Design, Mechanical Turk, Amazon Redshift, Amazon Route 53, Amazon S3, Amazon VPC. In addition, Amazon.com graphics, logos, page headers, button icons, scripts, and service names are trademarks, or trade dress of Amazon in the U.S. and/or other countries. Amazon©s trademarks and trade dress may not be used in connection with any product or service that is not Amazon©s, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Amazon Mechanical Turk Requester UI Guide Table of Contents Welcome ..................................................................................................................................... 1 How Do I...? ......................................................................................................................... 1 Introduction to Mechanical Turk ....................................................................................................... -
How Can Startups Make Use of Cloud Services
California State University, San Bernardino CSUSB ScholarWorks Electronic Theses, Projects, and Dissertations Office of aduateGr Studies 4-2021 How can startups make use of cloud services Gauri Nade Gauri Nade California State University - San Bernardino Follow this and additional works at: https://scholarworks.lib.csusb.edu/etd Part of the Educational Technology Commons Recommended Citation Nade, Gauri and Nade, Gauri, "How can startups make use of cloud services" (2021). Electronic Theses, Projects, and Dissertations. 1262. https://scholarworks.lib.csusb.edu/etd/1262 This Thesis is brought to you for free and open access by the Office of aduateGr Studies at CSUSB ScholarWorks. It has been accepted for inclusion in Electronic Theses, Projects, and Dissertations by an authorized administrator of CSUSB ScholarWorks. For more information, please contact [email protected]. HOW CAN START UPS MAKE USE OF CLOUD SERVICES A Project Presented to the Faculty of California State University, San Bernardino In Partial Fulfillment of the Requirements for the Degree Master of Science in Information Systems and Technology by Gauri Rajendra Nade May 2021 HOW CAN START UPS MAKE USE OF CLOUD SERVICES A Project Presented to the Faculty of California State University, San Bernardino by Gauri Rajendra Nade May 2021 Approved by: Benjamin Becerra, PhD, Committee Chair Conrad Shayo, PhD, Reader Jay Varzandeh, PhD, Dept. Chair, Information & Decision Sciences © 2021 Gauri Rajendra Nade ABSTRACT The purpose of this project is to discuss the technical obstacles that small and medium-sized enterprises (SMEs) face, as well as how cloud computing can help to solve these issues. Cloud computing has the ability to radically change competitive environments by offering a new forum for generating and delivering business value and market development. -
Using Amazon Web Services for Disaster Recovery October 2014
Amazon Web Services – Using AWS for Disaster Recovery October 2014 Using Amazon Web Services for Disaster Recovery October 2014 Glen Robinson, Attila Narin, and Chris Elleman Page 1 of 22 Amazon Web Services – Using AWS for Disaster Recovery October 2014 Contents Introduction ...............................................................................................................................................................3 Recovery Time Objective and Recovery Point Objective ................................................................................................4 Traditional DR Investment Practices ............................................................................................................................4 AWS Services and Features Essential for Disaster Recovery ...........................................................................................5 Example Disaster Recovery Scenarios with AWS ...........................................................................................................9 Backup and Restore ................................................................................................................................................9 Pilot Light for Quick Recovery into AWS ................................................................................................................. 11 Warm Standby Solution in AWS ............................................................................................................................. 14 Multi-Site Solution Deployed