Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Future of the Data Center

2,128 views

Published on

Surveys the advancements in data center technologies that are currently taking place.
From commute, networking and storage virtualization, to X86 vs. Arm64 and the force of moving from scale-up based architectures to scale-out ones.

By Liran Zvibel, CTO of Weka.IO

Published in: Technology
  • Be the first to comment

Future of the Data Center

  1. 1. T H E F U T U R E O F T H E D A T A C E N T E R L I R A N Z V I B E L , L I R A N @ W E K A . I O
  2. 2. X 5 0 G R O W T H R A T E ! D A T A I S E XP L O D I N G
  3. 3. D A T A G R O W T H • Amount of data collected and stored is ever increasing • New services are created based on using that data, and old enterprises are forced to provide new applications for the same cost • IoT, logs, sensors, media files and other accumulated data are regularly processed and reprocessed • Some data is “cold” but still accessed (FB images) • Regulatory archiving data
  4. 4. G I A N T S I N N O V A T E , R E S T F O L L O W • Internet giants like Google, Facebook, Amazon handle massive amount of data, and must solve scalability problem ahead of anyone else, using cheaper, commodity components. • Enterprise companies are forced to keep up the pace, and with the help of the traditional vendors try keep up. • IBM, Oracle, Microsoft, SAP, Dell and the like lost their ability to shape the future of the data centers.
  5. 5. S C A L E - U P V S S C A L E - O U T • Scale-up based solutions are bound, and will max-out. Becomes too expensive. • Everything must scale, hence must be built from many small components that together solve the big problem • SW infrastructure is required to create systems that are scale-out. Once this is done, adding features is at linear deployment cost, not possible at scale-up • Large RDBMS (“Oracle”) vs. Big Data solutions (Hadoop, Cassandra, etc) Scale up: Scale out:
  6. 6. C O M P U T E V I R T U A L I Z A T I O N • Being able to run several OS instances on the same computer • Allowed much condensed infrastructure (compute aggregation), resource agility and failover ability. • Programmable resource management makes it a Cloud • Enterprises will morph their data centers to a private cloud, then move to a hybrid cloud model
  7. 7. X 8 6 A N D A R M 6 4 C O M M O N S L O T • ARM64 very efficient for data movement (I/O), natively support virtualization • Applied Micro, AMD and others will come up with ARM based servers • Facebook’s Open Compute Project has designs that use X86 (“Intel”s) and Arm64 CPUs concurrently • New designs leverage hundreds of cores in a server. Xeon Phi or bigger ARMs
  8. 8. R A C K D I S A G G R E G A T I O N
  9. 9. N E T W O R K • 100Gb Eth/PCIe last year by Intel (and other) • 100x speedup in about 10 years, unprecedented progress related to other components! • Physical and logical locality (or placement) is dead • Ethernet won once again
  10. 10. N E T W O R K I N G S C A L E O U T • Cisco just announced the 576 ports 40Gb Nexus 9516 switch, so not all scale-out yet. • south-north vs east-west traffic • Can be replaced with 50, much cheaper switches, that also act as ToR • Cheaper ROI, Pay as you go, better performance • Clouds won’t use these devices
  11. 11. S D N : S W D E F I N E D N E T W O R K I N G • HW devices only provide data flow, management and control done in application. • Most large network equipment providers move towards supporting these open standards. • End users are free to shape traffic, and provide higher-level services that were once impractical
  12. 12. S T O R A G E • Scale out, virtualized • Flash NAND 3D, price drops • New mediums to archive and handle cold storage • Cloud object storage changing economics
  13. 13. L I R A N @ W E K A . I O @ L I R A N Z V I B E L Come join the party! We’re hiring!

×