Virtual Data : Eliminating the data constraint in Application Development
•Transferir como PPTX, PDF•
2 gostaram•683 visualizações
Virtual Data Eliminating the data constraint in Application Development
Recomendados
Recomendados
Mais conteúdo relacionado
Mais procurados
Mais procurados (20)
Semelhante a Virtual Data : Eliminating the data constraint in Application Development
Semelhante a Virtual Data : Eliminating the data constraint in Application Development (20)
Mais de Kyle Hailey
Mais de Kyle Hailey (14)
Último
Último (20)
Virtual Data : Eliminating the data constraint in Application Development
- 1. Virtual Data Eliminating the data constraint in Application Development Kyle Hailey, Technical Evangelist at Delphix
- 2. Technology Disruption “Software is eating the world.” - Marc Andreessen Increasing Commoditization Competitive Pressures
- 4. New software required for success 2010
- 5. • Problem : Data Constraint • Solution : Virtual Data • Use Cases : Development, Security, Cloud In this presentation :
- 6. DevOps :
- 7. DevOps : Process • Goals Clarify • Metrics Define • Constraints Identify • Priorities Set • Iterations Fast
- 8. DevOps : Process • Goals Clarify • Metrics Define • Constraints Identify • Priorities Set • Iterations Fast Tools: • Continuous Delivery • Cloud • Agile • Kanban • Kata
- 9. DevOps : Process • Goals Clarify • Metrics Define • Constraints Identify • Priorities Set • Iterations Fast Tools: • Continuous Delivery • Cloud • Agile • Kanban • Kata
- 10. The Phoenix Project What is the constraint in IT ?
- 11. Put your energy into the constraint Top 5 constraints in IT 1. Dev environments setup 2. QA setup 3. Code Architecture 4. Development 5. Product management - Gene Kim Surveyed • 14000 companies • 100s of CIOs
- 12. Flow of Features
- 13. DevOps is a Goal Fast flow of features from development to IT operations to the customers - Gene Kim
- 14. Flow of Features 14 1 Development Environments 2 QA & Testing Environments Product Management Features 2 2 Code Architecture 3Code Speed 4 5 Data
- 15. Development Pipeline for QA Build Deploy Environment Database
- 16. 16 PROD DEV Test UAT DBA Sys Admin Storage Admin Legacy Data Movement: Slow & expensive ? Slow environment builds: delays
- 17. Development Pipeline for QA 17 0 2 4 6 8 10 12 14 16 18 20 22 24 Reset Test Reset Test Reset Test Physical Data Wait Time Hours Refresh ( > 80%) Testing(< 20%)
- 18. Data Management not Agile 18 • 20% SDLC time lost waiting for data • 60% dev/QA time consumed by data tasks Conclusion: Data management does not scale to Agile - Infosys Data is the Constraint
- 19. Application Development Constraints 19 1. Not enough resources 2. Bad test data leading to bugs 3. Slow environment builds
- 20. 1. Not Enough Resources: shared bottlenecks Frustration Waiting
- 21. 1. Not Enough Resources : bugs because of old data Old Unrepresentative Data
- 22. 1. Not enough resources: limited environments
- 23. 2. Bad data leads to bugs: subsets
- 24. 24 2. Bad data leads to bugs: Production Wall
- 25. 2. Bad data leads to bugs: late stage bugs Dev QA UAT Production
- 26. 2. Bad data leads to bugs: late stage bugs Dev QA UAT Production # bugs Found
- 27. Dev Testing UAT Production 2. Bad data leads to bugs: late stage bugs 0 10 20 30 40 50 60 70 1 2 3 4 5 6 7 Cost To Correct Software Engineering Economics – Barry Boehm (1981)
- 28. Developer Asks for DB Get Access Manager approves DBA Request system Setup DB System Admin Request storage Setup machine Storage Admin Allocate storage (take snapshot) 3. Slow environment builds: delays
- 29. Why are hand offs so expensive? 1hour 1 day 9 days 3. Slow environment builds: delays
- 31. Could I have a copy of the production DB ? Developer, tester or AnalystBoss, Storage Admin, DBA
- 32. • Data Constraint • Solution • Use Cases In this presentation :
- 33. Development UATQA 99% of blocks are identical
- 34. Solution
- 35. Development QA UAT Thin Clone
- 36. Three Technologies Production DevelopmentStorage Provision Synchronize (copy) Clone (snapshot)
- 37. Three Technologies Production DevelopmentStorage Provision Synchronize (copy) Clone (snapshot) Virtual Copy Data Management + masking & self service
- 38. Install Delphix on Intel hardware • . • . • . • . • . • Data • . • Binaries • Application Stacks • EBS • SAP • Flat files
- 39. Allocate Any Storage to Delphix Any Storage Pure Storage + Delphix Better Performance for 1/10 the cost
- 40. 40© 2015 Delphix. All Rights Reserved. Private & Confidential. One time backup of source database Production 3 TB 1 TB
- 41. 41© 2015 Delphix. All Rights Reserved. Private & Confidential. One time backup of source database Production 3 TB 1 TB ProvisionSynchronize (copy) Clone (snapshot)
- 42. 42© 2015 Delphix. All Rights Reserved. Private & Confidential. Three Physical Copies Three Virtual Copies Data Virtualization Appliance
- 43. 43 PROD DEV DEV Test Test UAT Data as a Service : fast, elastic, secure Self Service
- 44. • Problem in the Industry • Solution • Use Cases
- 45. 1. Development 2. Security 3. Cloud Migration Use Cases
- 47. Virtual Data: Parallelize gif by Steve Karam
- 48. Virtual Data: Full size
- 49. Virtual Data: Self Service
- 50. Environments: increase the limit
- 51. Physical Data : late stage bugs Dev QA UAT Production 0 50 100 150 200 250 300 350 400 450 500 Dev Testing UAT Production Bugs Discovered Legacy 0 10 20 30 40 50 60 70 1 2 3 4 5 6 7 Cost To Correct Cost To Correct
- 52. Physical Data : find bugs fast Dev QA UAT Production Dev Testing UAT Production 0 10 20 30 40 50 60 70 1 2 3 4 5 6 7 Cost To Correct
- 53. RefreshTest Refresh Test Refresh Test Virtual Data : Fast Refresh 53 0 2 4 6 8 10 12 14 16 18 20 22 24 Hours Virtual Data Physical Data Bookmark, Reset 99% Less Downtime Data FederationVersion Control Bookmark and BranchQuickly Refresh Sync across data sources
- 54. Virtual Data: Version Control 54 Dev Dev 2.1 2.2 Production Time Flow Live Archive data for years • Archive EBS R11 before upgrade to R12 • Sarbanes-Oxley • Dodd-Frank • Financial Stress tests Production
- 55. Production Time Flow QA • Fast • Full Size • Run Parallel QA Virtual Data : Parallel Production
- 56. Virtual Data: Rewind QA Production Time Flow Production
- 57. Virtual Data: A/B Index 1 Index 2 Production Time Flow Production
- 58. Modernization: Federated Production Time Flow 1 Production Time Flow 2 Production 1 Production 2
- 60. “I looked like a hero” Tony Young, CIO Informatica Virtual Data: Federated
- 61. 1. Development & QA 2. Security 3. Cloud Migration Use Cases
- 62. Tradition Protection: Network & Perimeter EndpointsPerimeter Defense Protect the Interior Encryption Network Intrusion Detection Endpoint Defense “Organizations should use data Masking to protect sensitive data at rest and in transit from insiders' and outsiders' attacks.” - Gartner Magic Quadrant for Data Masking Technology
- 63. Insider Threats Are Costly $1,075 $1,900 $7,378 $33,565 $81,500 $85,959 $96,424 $126,545 $144,542 Botnets Viruses, worms,… Malware Stolen devices Malicious code Phishing & social… Web-based attacks Denial of services Malicious insiders Average Annualized Cyber Crime Cost Weighted by Attack Frequency Consolidated view, n = 252 separate companies 2015 Global Cost of Cyber Crime Study, Ponemon Institute
- 64. Costs more Quality is lower Hard to mask consistently Moving data from prod to non-prod takes a long time Ease of Use Instant data Consistent
- 65. Virtual Data Masking • Automates discovery • Provides different masking algorithms for different data types • Mask once clone many with thin cloning Mask Data 6 hours Clone 18 Hours Clone 15 min Mask Data Mask 4 hours Mask Data
- 66. Production Dev, QA, UAT Reporting Backup Security problem
- 67. Production Dev, QA, UAT Reporting Sandbox Security management improvement
- 68. Production Dev, QA, UAT Reporting Sandbox Security Solution
- 69. 1. Development & QA 2. Security 3. Cloud Migration Use Cases
- 70. Migration to Cloud 70 Three Clones = Moving 3 x the Source
- 71. Migration to Cloud with Delphix 71 Three Clones = Moving 1/3 of Source Size
- 72. Cloud Optimizations 72 ON PREMISE / PRIVATE CLOUD Replication Encrypted Compressed Masked
- 73. Cloud Optimizations 73 ON PREMISE / PRIVATE CLOUD
- 74. Cloud Optimizations 74 $$$ ON PREMISE / PRIVATE CLOUD
- 75. Cloud Optimizations 75 ON PREMISE / PRIVATE CLOUD
- 76. Cloud Optimizations 76 ON PREMISE / PRIVATE CLOUD
- 77. Cloud Optimizations 77 ON PREMISE / PRIVATE CLOUD
- 78. Cloud Optimizations 78 ON PREMISE / PRIVATE CLOUD
- 79. • Recovery • Forensics • Migration Bonus : Production Support
- 80. 9TB database 1TB change day : 30 days 0 10 20 30 40 50 60 70 week1 week2 week3 week4 original Oracle Delphix Storage Required (TB) Days
- 81. RPO & RTO 81 • RPO – Any time in last 30 days – Down to the second • RTO – Minutes – Push button 0 5 10 15 week1 week2 week3 week4 original Delphix
- 82. Virtual Data: Recovery Instance Recover VDB Drop Production Time Flow Production
- 83. Virtual Data: Forensics Development Production Time Flow Production
- 84. Virtual Data: Development recovery Development Development Prod & VDB Time Flow Production
- 85. 1. Development & QA – Dev throughput increase by 2x 2. Secure – Mask once, clone many 3. Cloud Enablement – Compressed, encrypted replication – active/active replication Summary
- 86. • Problem: Data constraint • Solution: Virtual Data Summary
- 87. • Projects “12 months to 6 months.” – New York Life • Insurance product “about 50 days ... to about 23 days” – Presbyterian Health • “Can't imagine working without it” – State of California Virtual Data Quotes
- 88. Thank you! • Kyle Hailey - Technical Evangelist (Oracle Ace Director, Oaktable) – Kyle@delphix.com – kylehailey.com – slideshare.net/khailey – @virtdata
- 90. A database refresh in 15 minutes? That is mind blowing! Delphix nailed it for us. - Matt Lawrence , Sr Director Wind River (Intel) Took 3 weeks to build a dev env now with Delphix takes less than a day the db part is less than 15 minutes - Marty Boos , Stubhub (Ebay) Delphix goes beyond storage Delphix so much more than We thought it was -Michael Brow State of Colorado
- 91. Worth investing on this product the technology is strong and value prop is high - Deloitte I'm convinced about Delphix's technology Delphix can really increase the quality of Dev / QA - Oaktable Member Delphix allows us to move fast and setup database copies in seconds Delphix is powerful and allowed us to scale from 2 projects to 11 We need Delphix to scale our agile environment – Tim Campos, CIO, Facebook
- 92. The Goal : eliminate the constraint Improvement not made at the constraint is an illusion Theory of Constraints
- 93. Factory floor
- 95. Factory floor constraint Tuning here Stock piling
- 97. Factory floor constraint Goal: • find constraint • optimize it
Notas do Editor
- Talking mainly about Delphix What IT tasks have the most impact on company performance
- I did a POC with Delphix and loved the product. It has amazing capabilities and so simple to use. – Accenture Consultant
- http://ben-evans.com/benedictevans/2016/3/29/presentation-mobile-ate-the-world
- if you look at what’s really impeding flow from development to operations to the customer, it’s typically IT operations. Operations can never deliver environments upon demand. You have to wait months or quarters to get a test environment. When that happens terrible things happen. People actually horde environments. They invite people to their teams because the know they have reputation for having a cluster of test environments so people end up testing on environments that are years old which doesn’t actually achieve the goal. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it“ One of the best predictors of DevOps performance is that IT Operations can make available environments available on-demand to Development and Test, so that they can build and test the application in an environment that is synchronized with Production. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it Eliyahu Goldratt
- if you look at what’s really impeding flow from development to operations to the customer, it’s typically IT operations. Operations can never deliver environments upon demand. You have to wait months or quarters to get a test environment. When that happens terrible things happen. People actually horde environments. They invite people to their teams because the know they have reputation for having a cluster of test environments so people end up testing on environments that are years old which doesn’t actually achieve the goal. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it“ One of the best predictors of DevOps performance is that IT Operations can make available environments available on-demand to Development and Test, so that they can build and test the application in an environment that is synchronized with Production. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it Eliyahu Goldratt
- if you look at what’s really impeding flow from development to operations to the customer, it’s typically IT operations. Operations can never deliver environments upon demand. You have to wait months or quarters to get a test environment. When that happens terrible things happen. People actually horde environments. They invite people to their teams because the know they have reputation for having a cluster of test environments so people end up testing on environments that are years old which doesn’t actually achieve the goal. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it“ One of the best predictors of DevOps performance is that IT Operations can make available environments available on-demand to Development and Test, so that they can build and test the application in an environment that is synchronized with Production. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it Eliyahu Goldratt
- if you look at what’s really impeding flow from development to operations to the customer, it’s typically IT operations. Operations can never deliver environments upon demand. You have to wait months or quarters to get a test environment. When that happens terrible things happen. People actually horde environments. They invite people to their teams because the know they have reputation for having a cluster of test environments so people end up testing on environments that are years old which doesn’t actually achieve the goal. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it“ One of the best predictors of DevOps performance is that IT Operations can make available environments available on-demand to Development and Test, so that they can build and test the application in an environment that is synchronized with Production. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it Eliyahu Goldratt
- if you look at what’s really impeding flow from development to operations to the customer, it’s typically IT operations. Operations can never deliver environments upon demand. You have to wait months or quarters to get a test environment. When that happens terrible things happen. People actually horde environments. They invite people to their teams because the know they have reputation for having a cluster of test environments so people end up testing on environments that are years old which doesn’t actually achieve the goal. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it“ One of the best predictors of DevOps performance is that IT Operations can make available environments available on-demand to Development and Test, so that they can build and test the application in an environment that is synchronized with Production. One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it Eliyahu Goldratt IT bottlenecks Setting Priorities Company Goals Defining Metrics Fast Iterations IT version of “The Goal” by E. Goldratt
- “One of the most powerful things that organizations can do is to enable development and testing to get environment they need when they need it“
- What happens now in the industry Typically the application development life cycle is something like this We have some production database with production applications running on top of the database And we have developers either customizing that application or writing new functionality for the application We need copies of that data to make sure our code runs correctly when it gets to production develop and We have teams of people, DBAs, sys admins, storage admins, etc making these copies It’s slow work to copy all this data It’s tedious work All the while we have developers and QA testers waiting for these copies
- Not enough resources Contention on shared environments Lack of enough environments Late stage bug discovery Faulty Data leading to bugs Subsets Synthetic data Old data Slow environment builds Delays Developers waiting QA slow and expensive
- Not enough resources Contention on shared environments Lack of enough environments Late stage bug discovery Faulty Data leading to bugs Subsets Synthetic data Old data Slow environment builds Delays Developers waiting QA slow and expensive
- Not sure if you’ve run into this but I have personally experience the following When I was talking to one group at Ebay, in that development group they Shared a single copy of the production database between the developers on that team. What this sharing of a single copy of production meant, is that whenever a Developer wanted to modified that database, they had to submit their changes to code Review and that code review took 1 to 2 weeks. I don’t know about you, but that kind of delay would stifle my motivation And I have direct experience with the kind of disgruntlement it can cause. When I was last a DBA, all schema changes went through me. It took me about half a day to process schema changes. That delay was too much so it was unilaterally decided by They developers to go to an EAV schema. Or entity attribute value schema Which mean that developers could add new fields without consulting me and without stepping on each others feat. It also mean that SQL code as unreadable and performance was atrocious. Besides creating developer frustration, sharing a database also makes refreshing the data difficult as it takes a while to refresh the full copy And it takes even longer to coordinate a time when everyone stops using the copy to make the refresh All this means is that the copy rarely gets refreshed and the data gets old and unreliable
- Not sure if you’ve run into this but I have personally experience the following When I was talking to one group at Ebay, in that development group they Shared a single copy of the production database between the developers on that team. What this sharing of a single copy of production meant, is that whenever a Developer wanted to modified that database, they had to submit their changes to code Review and that code review took 1 to 2 weeks. I don’t know about you, but that kind of delay would stifle my motivation And I have direct experience with the kind of disgruntlement it can cause. When I was last a DBA, all schema changes went through me. It took me about half a day to process schema changes. That delay was too much so it was unilaterally decided by They developers to go to an EAV schema. Or entity attribute value schema Which mean that developers could add new fields without consulting me and without stepping on each others feat. It also mean that SQL code as unreadable and performance was atrocious. Besides creating developer frustration, sharing a database also makes refreshing the data difficult as it takes a while to refresh the full copy And it takes even longer to coordinate a time when everyone stops using the copy to make the refresh All this means is that the copy rarely gets refreshed and the data gets old and unreliable
- KLA Tencore Stateado
- To circumvent the problems of sharing a single copy of production Many shops we talk to create subsets. One company we talked to , spends 50% of time copying databases have to subset because not enough storage subsetting process constantly needs fixing modification Now What happens when developers use subsets -- ****** -----
- We talked to Presbyterian Healthcare And they told us that they spend 96% of their QA cycle time building the QA environment And only 4% actually running the QA suite This happens for every QA suite meaning For every dollar spent on QA there was only 4 cents of actual QA value And that 96% cost is infrastructure time and overhead
- We talked to Presbyterian Healthcare And they told us that they spend 96% of their QA cycle time building the QA environment And only 4% actually running the QA suite This happens for every QA suite meaning For every dollar spent on QA there was only 4 cents of actual QA value And that 96% cost is infrastructure time and overhead
- We talked to Presbyterian Healthcare And they told us that they spend 96% of their QA cycle time building the QA environment And only 4% actually running the QA suite This happens for every QA suite meaning For every dollar spent on QA there was only 4 cents of actual QA value And that 96% cost is infrastructure time and overhead
- Internet vs browser Automate or die – the revolution will be automated The worst enemy of companies today is thinking that they have the best processes that exist, that their IT organizations are using the latest and greatest technology and nothing better exists in the field. This mentality will be the undermining of many companies. http://www.kylehailey.com/automate-or-die-the-revolution-will-be-automated/ Data IS the constraint Business skeptics are saying to themselves that data processes are just a rounding error in most of their project timelines, and that they are sure their IT has developed processes to fix that. That’s the fundamental mistake. The very large and often hidden data tax lay in all the ways that we’ve optimized our software, data protection, and decision systems around the expectation that data is simply not virtual. The belief that there is no agility problem is part of the problem. http://www.kylehailey.com/data-is-the-constraint/
- Due to the constraints of building clone copy database environments one ends up in the “culture of no” Where developers stop asking for a copy of a production database because the answer is “no” If the developers need to debug an anomaly seen on production or if they need to write a custom module which requires a copy of production they know not to even ask and just give up.
- Fastest query is the query not run
- In the physical database world, 3 clones take up 3x the storage. In the virtual world 3 clones take up 1/3 the storage thanks to block sharing and compression
- Delphix radically changes this paradym Delphix is software that we provide as a virtual machine OVA file that you spin up on any commodity intel hardware You give us any storage Delphix maps it’s own proprietary file system on to the storage We have a web UI With the web UI you can point us to any database or data source such as Oracle, SQL Server, Sybase, Postgres, flatfiles etc At link time we take one full copy. We only do it once and never again We compress the data so If the data is 3TB on source it will be 1TB on Delphix From then and forever we just pull in the changed blocks With the changed blocks Delphix builds up a timeline of data versions The default window is 2 weeks but you can configure it to be 2 months or 2 years You can spin up a copy of the data down to the second at any point in time in the time window Now with a few clicks of a mouse and in a few minutes we can spin up copies on Developer machines, QA machines, UAT etc When we make copies there is no data being moved We just point the copies to data that already exists on Delphix There is no data on the target machines All the data is on Delphix Delphix looks like a NAS or NFS file server to the target machines We give them a read writeable point in time snapshot o the data We also track all the block changes on the virtual databases With the block change tracking on the virutal database we can do cool thigs links Roll them back, branch them, version them, share them, book mark the data All this is super simple to run Delphix can generally be be run by a junior DBA in quarter time The coolest thing, especially for DevOps process, is self server interface for developers and testers Where they can refresh data from production Roll back changes Bookmark and share data between dev and QA We can treat data the way we treat code
- For example Stubhub went from 5 copies of production in development to 120 Giving each developer their own copy
- Stubhub estimated a 20% reduction in bugs that made it to production
- Slow downs mean bottlenecks
- We talked to Presbyterian Healthcare And they told us that they spend 96% of their QA cycle time building the QA environment And only 4% actually running the QA suite This happens for every QA suite meaning For every dollar spent on QA there was only 4 cents of actual QA value And that 96% cost is infrastructure time and overhead
- We talked to Presbyterian Healthcare And they told us that they spend 96% of their QA cycle time building the QA environment And only 4% actually running the QA suite This happens for every QA suite meaning For every dollar spent on QA there was only 4 cents of actual QA value And that 96% cost is infrastructure time and overhead
- Physically independent but logically correlated Cloning multiple source databases at the same time can be a daunting task
- One example with our customers is Informatica Who had a project to integrate 6 databases into one central database The time of the project was estimated at 12 months With much of that coming from trying to orchestrating Getting copies of the 6 databases at the same point in time Like herding cats
- Walmart.com Informatical had a 12 month project to integrate 6 databases. After installing Delphix they did it in 6 months. I delivered this early I generated more revenue I freed up money and put it into innovation won an award with Ventana Research for this project
- Data masking should be a budgeted item in the enterprise IT spending. JP Morgan—joined by other banks and major companies—is going to spend a large amount on cybersecurity, yet still doesn’t feel like this sum is enough. Why is that? Traditional security is network security, AKA perimeter defense. Keeps the exterior protected. Enhanced by endpoint defense, which locks down phones/laptops in this era of bring your own device (BYOD) That being said, organizations are taking increasingly longer to detect network and system intrusions. According to a Trustwave survey, an external party informed the company of the breach in 80% of cases. That’s why it’s so important to protect the interior—protecting the data itself. As an analogy, perimeter security is like building castle walls—but protecting the interior means strong body armor for all of the knights you send out onto the open battlefield.
- Unshackle yourself from massive infrastructure drag and bureaucratic quagmires And put a jetpack on your IT organizations and application development projects Moving the data IS the big gorilla. Eliminating the data tax is crucial to the success of your company. And, if huge databases can be ready at target data centers in minutes, the rest of the excuses are flimsy. virtual data – virtualized data – uses a small footprint. A truly virtual data platform can deliver full size datasets cheaper than subsets. A truly virtual data platform can move the time or the location pointer on its data very rapidly, and can store any version that’s needed in a library at an unbelievably low cost. And, a truly virtual data platform can massively improve app quality by making it reliable and dead simple to return to a common baseline for one or many databases in a very short amount of time. Applications delivered with agile data can afford a lot more full size virtual copies, eliminating wait time and extra work caused by sharing, as well as side effects. With the cost of data falling so dramatically, business can radically increase their utilization of existing hardware and storage, delivering much more rapidly without any additional cost. An agile data platform presents data so rapidly and reliably that the data becomes commoditized – and servers that sit idle because it would just take too long to rebuild can now switch roles on demand.
- http://www.computerworld.com/s/article/9242959/The_Grill_Gino_Pokluda_gains_control_of_an_unwieldy_database_system?taxonomyId=19
- Now let’s look at Delphix Data as a Service With Delphix and Data as a Service, provisioning copies of data becomes push button functionality that finishes in minutes. How does this work? Delphix is provided as software Delphix software is a virtual machine. Delphix virtual machine manages storage and maps its own advanced specialized file system onto storage. Delphix an be used with any storage such as EMC, Netapp, Fujitsu, JBODs etc Once Delphix is installed and has been allocated storage it can be point at a data source. Once and only once, Delphix will pull in a full copy of the data source in and compress it. From then and forever Delphix just pulls in the changed data blocks and stores them creating a time line of data. From that timeline clone copies of production can be spun up in minutes on target machine. The clones can be made at any point in time from the time flow storage on Delphix down to the second. Each clone is for all intents and purposes a completely independent, full size, read/write copy of production Delphix can typically be managed by a single person in just a faction of their time Delphix provides a special developer centric self service interface for developers and QA where Developers can provision their own copies of data and have access to typical developer features such As rollback, bookmark, branching and refresh.
- <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div> <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div>
- <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div> <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div>
- <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div> <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div>
- <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div> <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div>
- <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div> <div>Icon made by <a href="http://www.freepik.com" title="Freepik">Freepik</a> from <a href="http://www.flaticon.com" title="Flaticon">www.flaticon.com</a> is licensed under <a href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0">CC BY 3.0</a></div>