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Future of the Data Center


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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
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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!