T H E F U T U RE O F T H E DATAC E N TE R

L I RA N ZV I BE L , L I RAN @WE KA. I O

X5 0 G R O W T H RAT E !

DATA I S E X P LO D I N G

DATA 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

GI AN T S I N N OVAT E , R E S T FOLLO 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.

S CA LE - U P V S S C ALE -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:

CO M P U T E V I RT U A L I ZAT 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

X 8 6 AN D AR M6 4 C OMM ON SLOT

• 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

RAC K D IS AG GRE GAT IO N

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

N E T W O R K I N GS C A LE 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

SD N: SW D EF I NED NET WO RK I NG

• 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

S T O RAG E

• Scale out, virtualized• Flash NAND 3D, price

drops• New mediums to archive

and handle cold storage• Cloud object storage

changing economics

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