25. Welcome to the Waitless World
Join Power Systems in social media!
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin: bit.ly/poweronlinkedin
Like us on Facebook: bit.ly/poweronfacebook
Watch us on YouTube: bit.ly/poweronyoutube
Follow us on Twitter: twitter.com/IBMPowerSystems
Where to learn more…
www.ibm.com/power
The new reality: huge increases in mobile and massive amounts of data leading to increased cloud deployments
Rackspace. “Tapping into Mobile Commerce 2014.” July 24, 2014. Accessed January 22, 2015. http://www.rackspace.com/blog/tapping-into-mobile-commerce-2014-infographic/
Lipsman, Andrew. “Q2 M-Commerce Explodes to 47% Y/Y Gain: What it Means for the Growth of Mobile.” August 19, 2014. Accessed January 22, 2015. http://www.comscore.com/Insights/Blog/Q2-M-Commerce-Explodes-to-47-YY-Gain-What-it-Means-for-the-Growth-of-Mobile
IBM Institute for Business Value. “The Individual Enterprise: How mobility redefines business.” July 2014. https://w3.ibm.com/services/practitionerportal/ppServlets/displayDocument.wss?syntheticKey=J747189H56673R93
Gantz, John and Reinsel, David. IDC. “The Digital Universe Decade – Are You Ready?” May 2010
McDougall, Richard. “2013 Predictions for Big Data.” December 18, 2012. http://blogs.vmware.com/cto/2013-predictions-for-big-data/
IBM Institute for Business Value. “The IT infrastructure conversation.” July, 2014
IBM Institute for Business Value. “The IT infrastructure conversation.” July, 2014
Businesses are transforming and driving greater demands on IT infrastructure
You can live in a world where a robust IT infrastructure is possible
A world where the newest customer experiences are delivered in the shortest possible time
A world where open innovation lets you discover solutions you never dreamed of
Businesses are transforming and driving greater demands on IT infrastructure
You can live in a world where a robust IT infrastructure is possible
A world where the newest customer experiences are delivered in the shortest possible time
A world where open innovation lets you discover solutions you never dreamed of
2.7X & 40%
Results are based on IBM internal testing of single system running multiple virtual machines with pgbench select only work load and are current as of October 5, 2015. Performance figures are based on running a 300 scale factor. Individual results will vary depending on individual workloads, configurations and conditions.
IBM Power System S822LC; 16 cores / 128 threads, POWER8; 3.6GHz, 256 GB memory, PostgreSQL 9.5 Alpha2, RHEL 7.1, PowerKVM
Competitive stack: HP Proliant DL380; 36 cores / 72 threads; Intel E5-2699 v3; 2.3 GHz; 256 GB memory, PostgreSQL 9.5 Aplha2, RHEL 7.1, RHEV
Transactions per $ graph compares virtual machine at comparable per VM transactions per second using S822LC running 8 vcpu (1 core equiv.) and DL380 GEN9 ran 4 vcpu (2 core equiv.) VM configurations. S822LC produced 26, 781 average TPS per VM @ 20 VMs & 22,218 average TPS per VM @ 24 VMs ; DL380 produced 26,793 average TPS per VM @ 16 VMs & 22,165 average TPS per VM @ 24 VMs.
1.59X - Projections are based performance results measured by IBM as of February 13, 2015. Individual results will vary depending on individual workloads, configurations and conditions. IBM Power System S822L with (per socket) 8 cores / 64 threads, POWER8; 3.4GHz, 128 GB memory, Ubuntu 14.04 IBM; Linux® kernel: 3.13.0-35-generic with MariaDB 10.0.14 compared to Competitive stack: Dell Power Edge R420 with (per socket) 8 cores / 16 threads; Intel E5-2450; 2.0 GHz; 128 GB , CentOS, OpenSource MySQL; OpenSource PHPh Engine. S822L results were extrapolated to an C812L-M based 8c@ 3.86 GHz / 1-socket / 32 GB memory / 2x4TB drive system. The x86 results were extrapolated to Amazon r3.4xlarge offering E5-2670 v2: 8c @ 2.5 Ghz ; 122 GB memory / 1x4TB drives. The results were obtained under laboratory conditions, and not in an actual customer environment. IBM's internal workload studies are not benchmark applications, nor are they based on any benchmark standard. As such, customer applications, differences in the stack deployed, and other systems variations or testing conditions may produce different results and may vary based on actual configuration, applications, specific queries and other variables in a production environment. Pricing is based on estimated Softlayer pricing and published Amazon On-Demand pricing.
1.41X - Projections are based performance results reported in https://www-304.ibm.com/partnerworld/wps/servlet/ContentHandler/stg_ast_sys_wp_ibm-power-systems-solution-for-mariadb/lc=en_ALL_ZZ. Individual results will vary depending on individual workloads, configurations and conditions. IBM Power System S822L with (per socket) 10 cores / 80 threads, POWER8; 3.67GHz, 128 GB memory, Ubuntu 14.04 IBM; Linux® kernel: 3.13.0-35-generic with MariaDB 10.0.14 compared to Competitive stack: IBM System x3650 M4 with (per socket) 12 cores / 24 threads; Intel E5-2697 v2; 2.7 GHz; 128 GB , Ubuntu 14.04 IBM; Linux® kernel: 3.13.0-35-generic with MariaDB 10.0.14. S822L results were extrapolated to an C812L-M based 10c@ 3.5 GHz / 1-socket / 256 GB memory / 2x4TB drive system. The HP DL380p results were extrapolated to Amazon r3.8xlarge offering with E5-2670 v2: 16c @ 2.5 Ghz; 244 GB memory / 2x320GB drives. The results were obtained under laboratory conditions, and not in an actual customer environment. IBM's internal workload studies are not benchmark applications, nor are they based on any benchmark standard. As such, customer applications, differences in the stack deployed, and other systems variations or testing conditions may produce different results and may vary based on actual configuration, applications, specific queries and other variables in a production environment.