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Big Data : Splunk on Nutanix
Ray Hassan
ray@nutanix.com
@cannybag
2
Nutanix in 30 Seconds: Invisible
Infrastructure
Just
Works
Eliminates
Guesswork
Removes
Constraints
Invisible
Infrastructure
Why What
Hyperconvergence
How
Web-Scale
3
Nutanix Web-Scale Architecture
Eliminates
SAN and
NAS
arrays
Tier 1 Workloads
(running on all nodes)
Nutanix Controller VM
(one per node)
Node 2
VM VM VM CVM
X86
Node N
VM VM VM CVM
X86
Node 1
VM VM VM CVM
X86
Local + Remote
(Flash + HDD)
Distributed Storage Fabric
intelligent tiering, VM-centric management and more…
ü Snapshots ü Clones ü Compression ü Deduplication
ESX
i
Acropolis App Mobility Fabric
AH
V
Hyp
er-V
ESX
i
AH
V
Hyp
er-V
ESX
i
AH
V
Hyp
er-V
Workload
Mobility and
Hypervisor
Choice
ü Locality ü Tiering ü DR ü Resilience
4
The Digital Universe….
"100% of all large enterprises
will adopt [Operational
Intelligence] technologies for
big data analytics within the
next two years,“ Forrester
On average, between 60% and 73%
of all data within an enterprise goes
unused for business intelligence (BI)
and analytics, Forrester
Source: Forrester’s Global Business Technographics® Data And Analytics Survey, 2015
44ZB
DATA
------------------
2020
….doubling in size every
two years, IDC
5
Key benefits of Splunk on Nutanix
Ability	to	ingest	GBs	of	data	
per	day
Quick	search	capabilities	for	
mission	critical	applications	
Ability	to	support	growth	in	
data	ingest	rates
1	TB+/day		of	data	ingest	
ample	for	most	deployments
Accelerated	search	through	
server	side	flash	
Predictable,	linear	performance	
through	distributed	architecture
Self	contained	deployments	
due	to	data	security	&	privacy
Quick,	manageable		
deployment	through	appliance
6
Deployment Format for Splunk
7
Multisite Indexer Cluster Architecture
8
Scalable with Local Storage
9
Store Data on the Right Media
10
NUTANIX Cluster
Node	1 Node	2
Indexer	Cluster
Peer	1 Peer	2
Splunk>
CVM
Node	N
CVM CVM
RF2
Master	node
No	Master	failover	within	Splunk
Indexer	Peer	Node
Cluster/Bucket	Fixing	- buckets	either	made	searchable/streamed	to	
other	peers	or	held	in	reserve	for	eventual	return	of	node:
• very	CPU	intensive
• impact	network	interconnect
High Availability - Protect the Master
11
Site	1 Site	2
VM	1 … VM	n VM	1 … VM	n
RF2 RF2
site_replication_factor =	origin:1,	site1:1,	site2:1,	total:2
NUTANIX
Splunk>
site_replication_factor =	origin:2,	site1:1,	site2:1,	total:3
NDFS : Redundant data path
12
Tested Platform (SplunkIT)
High Performance
Index Rate > 500K EPS
Avg. TFE ~ 1.9 secs
Avg. TTS ~ 16 secs
56K IOPS/2U
Technical Partners
Reference
Architectures, Tech
Field Day Demo,
Blogs
Sales Engagements
Nordstroms,
NASDAQ, Covance,
Labcorp, Nintendo etc.
13
Save on Archiving and Licensing
NX-8150 Series
Compute and storage
NX-6035C Series
Storage only
10GbpsEthernet
IOPS Storage
14
Automatic Disk Balancing
ü Real-time balancing of storage within the cluster/nodes
ü Supports heterogeneous and homogenous node types (Compute heavy/Storage heavy)
ü Uniform distribution of data
ü Leverages MapReduce framework
ü Requires no manual intervention
This	process	is	done	both	during	runtime	with	node/disk	placement	as	well	as	
back	ground	Curator	process
Larger	aka	“Storage	Heavy”	nodes	will	have	larger	capacities	
and	hence	hold	more	data
After	disk	balancing	has	run	the	utilization	
will	be	uniform
NDFS
Hypervisor Hypervisor Hypervisor
VM	1 VM N VM 1 VM N VM 1 VM N
Storage Storage Storage
CVM CVM CVM35% 35%
35%
15
Hardware Lifecycle Management
16
Consumer-Grade Design,
Predictive Trending
17
3 GB/s Sequential
100,000 Random Read IOPS
500,000 EPS
2U Cluster
Nutanix/Splunk
RA available on
Nutanix.com
Splunk on Nutanix Reference Architecture
18
Nutanix Solutions for Enterprises
VDI
Branch
Office
Data Protection
& Disaster
Recovery
Enterprise
Applications
Private &
Hybrid Clouds
Microsoft
Applications
Big Data
19
NUTANIX	INC.	– CONFIDENTIAL	AND	PROPRIETARY
Q&A

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Got Big Data? Splunk on Nutanix

  • 1. Big Data : Splunk on Nutanix Ray Hassan ray@nutanix.com @cannybag
  • 2. 2 Nutanix in 30 Seconds: Invisible Infrastructure Just Works Eliminates Guesswork Removes Constraints Invisible Infrastructure Why What Hyperconvergence How Web-Scale
  • 3. 3 Nutanix Web-Scale Architecture Eliminates SAN and NAS arrays Tier 1 Workloads (running on all nodes) Nutanix Controller VM (one per node) Node 2 VM VM VM CVM X86 Node N VM VM VM CVM X86 Node 1 VM VM VM CVM X86 Local + Remote (Flash + HDD) Distributed Storage Fabric intelligent tiering, VM-centric management and more… ü Snapshots ü Clones ü Compression ü Deduplication ESX i Acropolis App Mobility Fabric AH V Hyp er-V ESX i AH V Hyp er-V ESX i AH V Hyp er-V Workload Mobility and Hypervisor Choice ü Locality ü Tiering ü DR ü Resilience
  • 4. 4 The Digital Universe…. "100% of all large enterprises will adopt [Operational Intelligence] technologies for big data analytics within the next two years,“ Forrester On average, between 60% and 73% of all data within an enterprise goes unused for business intelligence (BI) and analytics, Forrester Source: Forrester’s Global Business Technographics® Data And Analytics Survey, 2015 44ZB DATA ------------------ 2020 ….doubling in size every two years, IDC
  • 5. 5 Key benefits of Splunk on Nutanix Ability to ingest GBs of data per day Quick search capabilities for mission critical applications Ability to support growth in data ingest rates 1 TB+/day of data ingest ample for most deployments Accelerated search through server side flash Predictable, linear performance through distributed architecture Self contained deployments due to data security & privacy Quick, manageable deployment through appliance
  • 9. 9 Store Data on the Right Media
  • 10. 10 NUTANIX Cluster Node 1 Node 2 Indexer Cluster Peer 1 Peer 2 Splunk> CVM Node N CVM CVM RF2 Master node No Master failover within Splunk Indexer Peer Node Cluster/Bucket Fixing - buckets either made searchable/streamed to other peers or held in reserve for eventual return of node: • very CPU intensive • impact network interconnect High Availability - Protect the Master
  • 11. 11 Site 1 Site 2 VM 1 … VM n VM 1 … VM n RF2 RF2 site_replication_factor = origin:1, site1:1, site2:1, total:2 NUTANIX Splunk> site_replication_factor = origin:2, site1:1, site2:1, total:3 NDFS : Redundant data path
  • 12. 12 Tested Platform (SplunkIT) High Performance Index Rate > 500K EPS Avg. TFE ~ 1.9 secs Avg. TTS ~ 16 secs 56K IOPS/2U Technical Partners Reference Architectures, Tech Field Day Demo, Blogs Sales Engagements Nordstroms, NASDAQ, Covance, Labcorp, Nintendo etc.
  • 13. 13 Save on Archiving and Licensing NX-8150 Series Compute and storage NX-6035C Series Storage only 10GbpsEthernet IOPS Storage
  • 14. 14 Automatic Disk Balancing ü Real-time balancing of storage within the cluster/nodes ü Supports heterogeneous and homogenous node types (Compute heavy/Storage heavy) ü Uniform distribution of data ü Leverages MapReduce framework ü Requires no manual intervention This process is done both during runtime with node/disk placement as well as back ground Curator process Larger aka “Storage Heavy” nodes will have larger capacities and hence hold more data After disk balancing has run the utilization will be uniform NDFS Hypervisor Hypervisor Hypervisor VM 1 VM N VM 1 VM N VM 1 VM N Storage Storage Storage CVM CVM CVM35% 35% 35%
  • 17. 17 3 GB/s Sequential 100,000 Random Read IOPS 500,000 EPS 2U Cluster Nutanix/Splunk RA available on Nutanix.com Splunk on Nutanix Reference Architecture
  • 18. 18 Nutanix Solutions for Enterprises VDI Branch Office Data Protection & Disaster Recovery Enterprise Applications Private & Hybrid Clouds Microsoft Applications Big Data