Data storage in the Cloud
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This document provides an overview of data storage in the cloud using Windows Azure. It introduces cloud computing concepts and key characteristics like pay-per-use and elastic scaling. Windows Azure is presented as a platform for building and managing applications across Microsoft datacenters. Azure Storage is described as a scalable, durable cloud storage option that can be accessed from anywhere via REST APIs. Table storage concepts are explained, including entities, partitions, and queries. Tools for managing Azure resources like the Azure Portal and Azure Storage Explorer are also mentioned.
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Data storage in the Cloud
- 1. Data storage in the Cloud Bogdan Mustață, Team Leader, Levi9
- 2. Agenda Intro to cloud computing Windows Azure Azure Storage Tools Demo Q&A
- 3. Azure a new super hero in cloud computing :)
- 4. Intro to cloud computing “Cloud computing is the use of computing resources (hardware and software) that are delivered as a service over a network.“
- 5. Key characteristics Pay-per-use (no commitment) Elastic capacity – scale up/down on demand Self-service interface Resources are abstracted / virtualized
- 7. Public Clouds Platforms – IaaS & PaaS Amazon (AWS) 2004 Amazon (EC2) 2006 Heroku 2007 Google (GAE) 2008 Windows Azure 2010 AppHarbor 2011 OpenShift by Red Hat 2011 (open-source) Cloud Foundry by VMWare 2011 (open- source)
- 8. Windows Azure Comprehensive set of services that enable you to quickly build, deploy and manage applications across a global network of Microsoft- managed datacenters
- 10. Azure Storage Storage in the Cloud Scalable, durable, and available Anywhere at anytime access Only pay for what the service uses Exposed via RESTful Web Services Use from Windows Azure Compute Use from anywhere on the internet
- 11. Azure Storage
- 14. Table Storage Limitations Up to 1MB per entity PartitionKey & RowKey (only indexed properties) Uniquely identifies an entity Timestamp Optimistic Concurrency Each property is stored as a <name, typed value> pair No schema stored for a table Properties can be the standard .NET types String, binary, bool, DateTime, GUID, int, int64, and double 8
- 15. Table Storage Limitations Entities in the same partition will be stored together Atomic multiple Insert/Update/Delete in same partition in a single transaction Each partition can be served by a different storage node Scale to meet the traffic needs of your table
- 16. Table Storage Performance Query1: PartitionKey == “query” and RowKey == timeStamp Query2: PartitionKey == “query” and RowKey > startTime and RowKey < endTime Query3: PartitionKey > “query1” and PartitionKey < “query2” Query4: Value == “2000”
- 17. Tools – Azure Portal https://manage.windowsazure.com/
- 18. Tools – Azure Storage Explorer http://azurestorageexplorer.codeplex.com/
- 19. Demo
- 20. Q&A Contact Mustață Bogdan, Team Leader, Levi9 bmustata@yahoo.com http://www.linkedin.com/in/bogdanmustata Links http://www.windowsazure.com/ http://www.windowsazure.com/en-us/develop/net/ http://www.levi9.com/
Editor's Notes
- What is Azure?FlexibleWindows Azure is now more flexible then ever beforeWindows Azure helped pioneer the concept of Platform as a ServiceIt provides a rich set of managed services enabling you to compose applications. We’re now making those services richer. We have infrastructure as a service. Including the ability to host and deploy durable virtual machines in the cloud running both Windows and LinuxOpenSome of you maybe surprised to hear Linux at a Microsoft conference.Our support of linux is just one example of how we’re embracing openness in a fundamental new way. With the June release we are supporting more operating systems, more languages, and more open protocolsReleasing all of the Azure SDKs on GitHub under an open source license. SummaryWe believe the end result is truly a unique modelYou can now use both platform as a service and infrastructure as a service *together*You can now use the best of the Microsoft ecosystem and the best of the open source ecosystem *together*Enabling you to build better and more scalable solutions.