dragons and splunk do not do well in captivity · kyle prins •dell emc consulting architect...
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Dragons and Splunk Do Not Do Well In CaptivityTame Splunk Dragons Before Winter Comes
Kyle Prins & Keith Quebodeaux | DellEMC Splunk Ninjas
September 2017 | Washington, DC
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Forward-Looking Statements
THIS SLIDE IS REQUIRED FOR ALL 3 PARTY PRESENTATIONS.
▶ Kyle Prins
• Dell EMC Consulting Architect
• Splunk Certified Architect
• @KylePrins
▶ Keith Quebodeaux
• Dell EMC Principal Architect
• @Queboduck
“Splunk grows and now our watch begins…we are the Splunkers in the darkness, the watchers on the walls…”
Who Are We?
Dell EMC Splunk Ninjas
Watchers on the Wall
▶ The Egg - Initial Splunk adoption is easy
▶ Usecases and user constituencies expand quickly
▶ Demand for daily ingest rate increases rapidly
▶ Performance must not suffer from scale
▶ Availability and reliability is must have
▶ Epic - Splunk is now a business critical application
Splunk and DragonsFrom Egg to Epic
▶ Captivity - Stranded or static investments in capacity
• Limits ability to achieve greater scale
• POC to Production
• Expansion of Production Ingest
• Adoption of new advanced applications or toolkits
▶ Unchained - Big data infrastructure must ultimately align to enterprise strategy
Dragons do not do well in captivity. It is what we do…We Splunk and we know things.
Splunk and DragonsSplunk and Dragons do NOT do Well in Captivity
▶ Elasticity
• Pooled capacity and resources
• Ability to dynamically consume resources
The Three Heads of the DragonAvoiding being stunted in the Dragon Pit
▶ Elasticity
• Pooled capacity and resources
• Ability to dynamically consume resources
▶ Scalability
• Ease of expansion
• Reduced infrastructure interdependencies
• Separate Storage From Compute
The Three Heads of the DragonAvoiding being stunted in the Dragon Pit
▶ Elasticity
• Pooled capacity and resources
• Ability to dynamically consume resources
▶ Scalability
• Ease of expansion
• Reduced infrastructure interdependencies
• Separate Storage From Compute
▶ Appropriate Sizing and Best Practices
• Splunk Sizing Guide
• Splunk virtualization best practices
• Consider growth at the outset
The Three Heads of the DragonAvoiding being stunted in the Dragon Pit
▶ Embrace Virtualization
• Virtualization of Compute
• Software Defined Storage
• Alignment to enterprise tools and management
Feeding the Three Heads of the DragonSheep, Goats, and Rams…Well Done
▶ Embrace Virtualization
• Virtualization of Compute
• Software Defined Storage
• Alignment to enterprise tools and management
▶ Adopt Nodal-based Architecture
• Scale-out architecture for a scale-out application
• Uniform, incremental and linear to scale
• Cost
• Performance
Feeding the Three Heads of the DragonSheep, Goats, and Rams…Well Done
▶ Embrace Virtualization
• Virtualization of Compute
• Software Defined Storage
• Alignment to enterprise tools and management
▶ Adopt Nodal-based Architecture
• Scale-out architecture for a scale-out application
• Uniform, incremental and linear to scale
• Cost
• Performance
▶ Size Appropriately
• 16-24 CPU Minimum Indexer and Search Head
• Think Splunk ES
• Reserve and do not overcommit
• Leverage Splunk certified SMEs
Feeding the Three Heads of the DragonSheep, Goats, and Rams…Well Done
▶ Splunk became a mission critical app
▶ Ingest requirements grew rapidly
▶ Infrastructure had to be able to respond to changes
Incramentally Unlocking the Dragon
Customer Evolving from Monolith to DAS to SDS to HCI
▶ Splunk Infrastructure Evolving
• Initial - Scale-Up Storage + Compute
• Monolithic
• High Cost
▶ Splunk became a mission critical app
▶ Ingest requirements grew rapidly
▶ Infrastructure had to be able to respond to changes
Incramentally Unlocking the Dragon
Customer Evolving from Monolith to DAS to SDS to HCI
▶ Splunk Infrastructure Evolving
• Initial - Scale-Up Storage + Compute
• Monolithic
• High Cost
• DAS
• Node-based
• Stranded capacity
▶ Splunk became a mission critical app
▶ Ingest requirements grew rapidly
▶ Infrastructure had to be able to respond to changes
Incramentally Unlocking the Dragon
Customer Evolving from Monolith to DAS to SDS to HCI
▶ Splunk Infrastructure Evolving
• Initial - Scale-Up Storage + Compute
• Monolithic
• High Cost
• DAS
• Node-based
• Stranded capacity
• DAS + Software Defined Storage
• Node-based
• Pooled storage capacity
▶ Splunk became a mission critical app
▶ Ingest requirements grew rapidly
▶ Infrastructure had to be able to respond to changes
Incramentally Unlocking the Dragon
Customer Evolving from Monolith to DAS to SDS to HCI
▶ Splunk Infrastructure Evolving
• Initial - Scale-Up Storage + Compute
• Monolithic
• High Cost
• DAS
• Node-based
• Stranded capacity
• DAS + Software Defined Storage
• Node-based
• Pooled storage capacity
• Objective - Splunk Ready Solution
• Engineered HCI
• Validated for Splunk
Solution Data
▶ Variance in Ingest Scope
• 2-6TB/Day Ingest
▶ Considering Splunk Hadoop Data Roll for Archive
Constraints and Considerations
▶ Enterprise Security Use Case
▶ User Behavior Analytics (UBA) under consideration
▶ Ambiguous requirements for other roles
• Syslog
• Heavy Forwarders
Free Ranging the DragonCustomer Starting with HCI as the Defacto Splunk Platform
Ready Solution for Splunk -VxRail
VMware HCI Splunk Validated Solution
▶ VMware standardized customer
▶ Splunk Targets
• Indexers - 24 vCPU 64GB vRAM
• Search Heads - 24 vCPU 64GB vRAM
• Other Splunk Roles – Elastic Capacity
• Heavy Forwarders
• Syslog
• Resource Servers
VMw IDX/SH/SQLHVYFWD/SYSLOG/RS/Other
IDX/SH/SQL
HVYFWD/SYSLOG/RS/Other
VMw
Indexer or Search Head
VM
Heavy Fwd, Syslog,
Splunk Resource Server, or Other VM
Available Unallocated VMware
Resources
▶ Nodal Architecture
• 23 Hosts Nodes
• 2 HA Nodes
▶ Virtualized Elastic Resources
• 20 Splunk Indexers
• 3 Splunk Search Heads
• 16 Other Splunk Roles
• Flexible additional available resources
Phase 1: the Adolescent Dragon
2TB/Day w Splunk Enterprise Security
▶ Linear Scalability
▶ Increase to 48 Nodes
• 45 Hosts Nodes
• 3 HA Nodes
▶ Additive Elastic Resources
• 40 Splunk Indexers
• 21 Other Splunk Roles
• Additional resources added to the pool
• Linear performance and capacity gains
Phase 2: Epic Dragon
4TB/Day w Splunk Enterprise Security
Ready Systems for Splunk
Free Ranging Your Splunk Dragon with Reduced Complexity, Greater Simplicity, and Faster Time to Insight
VxRail Ready System for SplunkStart small scale out solution to optimize collection, processing and analyzing of
machine data
VxRail All Flash Appliance E-460F
Splunk™ Enterprise 6.5 software
Splunk™ Universal Forwarder 6.5 software
Isilon X410
Fully integrated VMware HCI Solution
Flash
- Jointly validated solution
- Scale-out node-based
architecture
- Clustered and Distributed
Deployment Options
VxRack Ready System for SplunkScale out solution to optimize collection, processing and analyzing of machine data
Splunk™ Enterprise 6.5 software
Splunk™ Universal Forwarder 6.5 software
Isilon X410
VxRack Flex 1000
PowerEdge R630 High-Density Flash: Dense SSD-High Capacity
- Jointly validated solution
- Scale-out node-based
architecture
- Clustered and Distributed
Deployment Options
-Integrated Network Fabric
Deployment options for VMware, bare metal OS, KVM, and Hyper-V
▶ Dell EMC Booth
▶ Dell EMC Splunk Ninjas
• Global
• Splunk certified
• Dell EMC portfolio experts
▶ Splunk Partner Site
▶ Dell EMC Apps on Splunkbase
▶ BigDataBeard.com
“Splunk grows and now our watch begins…we
are the Splunkers in the darkness, the watchers on the walls…”
Resources
DellEMC Splunk Ninjas
Q&A
Kyle Prins | DellEMC Consulting Architect, Splunk Ninja
Keith Quebodeaux | DellEMC Principal Architect, Splunk Ninja