Here is company that can move 'as is' (lift and shift) from on premise to AWS : www.racemi.com.
Thursday, February 21, 2013
Wednesday, February 20, 2013
A common question for Oracle EBusiness Suite users or potential users is 'Where do I get started?'. Here is some information to help with:
- Where not to start :
- Don't use video as the AMIs don't exist :
- Dont' use these AMIs as the don't work properly:
- Creating your own AMI : http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/creating-an-ami.html
- You can use any version of Linux from Oracle or other vendors that you wish. One of the most popular Linux AMIs used is:
- This can be done by performing a snapshot of EC2 instance (or instances) once you have the Oracle EBusiness Suite up and running:
Thursday, February 14, 2013
Tuesday, February 12, 2013
A benchmark test using OSB, a DBA, was able to restore 3.8 terabytes in 2.5 hours over gigabit Ethernet. This amounts to 25 gigabytes per minute, or 422MB per second. This 2.5 hours using OSB and S3 compares to, conservatively, 10-15 hours that would be required to restore from tape.
Monday, February 11, 2013
The global data volume at the end of 2009 has reached 800 EB according to http:www.genevaassociation.org. The Internet video will generate over 18 EB/month in 2013; global mobile data traffic will reach 2 EB/month by 2013 according to a report from CISCO (http://www.cisco.com/en/US/netsol/ns827/networking solutions sub solution.html).
A typical Oracle database is 1 TB or more in size. This will mean that a T3 line or higher speed line will be needed to move this much data. Otherwise, the AWS import export service can be used. The information below is from the http://aws.amazon.com/importexport/ web page but repeated here for easy of finding.
Connection Theoretical 80% Utilization AWS Imp/Exp
T1 (1.544Mb) 82 days 100GB or more
10Mbps 13 days 600GB or more
T3 (44.736Mbps) 3 days 2TB or more
100Mbps 1 to 2 days 5TB or more
1000Mbps Less than 1 day 60TB or more
Elapsed time is going to depend on many factors: speed of connection, compression used (if any), can load be done in parallel etc. The fastest load times will happen using AWS import/export (http://aws.amazon.com/importexport/ ). The next fastest will be using AWS Direct Connect (http://aws.amazon.com/directconnect).
Direct Connect provides speeds of 1 GBPS to 10GBPS. Using a 1 GBPS line, it would take about 3-4 hours (here is a good site: http://fasterdata.es.net/fasterdata-home/requirements-and-expectations/).
I may have blogged about this already, but want to give more detail as this question keeps coming up. Customers and partners want to know specifically how licenses purchased from Oracle or used on AWS as part of their ULA and ELA agreements are converted to cores and sockets on AWS. Here is an example that I believe will clear things up:
All the details can be found on the Oracle web site here:
- Standard Edition - .25 multiplier which means you only need 1 Oracle license for every 4 virtual cores on EC2. This means that running on m1.small, m1.medium, m1.large and m1.xlarge will all cost the same from an Oracle perspective. Details are: "When licensing Oracle programs with Standard Edition One or Standard Edition in the product name, the pricing is based on the size of the EC2 instances. EC2 instances with 4 or less virtual cores are counted as 1 socket, which is considered equivalent to a processor license. For EC2 instances with more than 4 virtual cores, every 4 virtual cores used (rounded up to the closest multiple of 4) equate to a licensing requirement of 1 socket. "
- Enterprise Edition - .5 multiplier which means you need 1 Oracle license for every 2 virtual cores on EC2. This means that running on m1.small, m1.medium, and m1.large will all cost the same from an Oracle perspective. Running on m1.xlarge would cost double the price since it has 4 virtual cores.
Of course, you should check with Oracle to make sure that you are in compliance.
It was predicted that by 2012 up to 40% of the budget of IT enterprise infrastructure would be spent on energy.
From: M. D. Dikaiakos, D. Katsaros, P. Mehra, G. Pallis, and A. Vakali. “Cloud computing: distributed internet computing for IT and scientific research.” IEEE Internet Computing, 13(5):10–13, 2009.
Not sure if this has come true but is a big number.