Copyright 2015 Splunk Inc. Go Big or Go Home. Sean Delaney Specialist SE Mustafa Ahamed Director, Product Management

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1 Copyright 2015 Splunk Inc. Go Big or Go Home Sean Delaney Specialist SE Mustafa Ahamed Director, Product Management

2 Agenda! 3 Tier Approach! Design the Forwarding Tier! Design the Indexing Tier! Design the Search Tier! Best PracMces in Scaling 2

3 3 Tier Approach

4 Pop Quiz Designing a scalable environment is: q Easy (If planned well in advance) q Hard (With no planning) 4

5 Vital Info Amount of incoming data Amount of indexed (stored) data Number of concurrent users Number of saved searches Types of searches Specific Splunk apps Sizing ConsideraMons hzp://docs.splunk.com/documentamon/splunk/latest/installamon/ Performancechecklist

6 Splunk Enterprise 6.3 Enterprise- class Scale, Resilience and Interoperability Offload search load to Splunk Search Heads Auto load- balanced forwarding to Splunk Indexers Send data from thousands of servers using any combinamon of Splunk forwarders 6

7 Forwarding Architecture

8 Design Factors! Syslog Collectors (HA)! DBConnect Inputs McAfee EPO data! TA Inputs CheckPoint! Assorted Inputs Microsoa AD logs MicroSoa Exchange Server Microsoa Sharepoint logs Log4j, Linux, IIS Forwarding Tier 8

9 Syslog Collectors Best pracmce to use dedicated syslog servers Syslog- NG/rSyslog recommended Syslog can write events to dedicated log files allowing for easy sourcetype classificamon on inputs 9

10 Syslog Collectors High Availability! Using a Load Balancer/VIP with Linux Heartbeat to provide failover for the syslog listener! Syslog- NG PE Client- side failover Syslog-NG Server Syslog-NG Server Load Balancer Syslog 514/tcp & 514/udp Router (Physical) Load Balancer 10

11 Forwarder for TA s! TA- McAfee requires DBConnect to pull endpoint events! TA- Checkpoint uses the LEA Client to retrieve Firewall log events! Not a HA design, but could be hosted on a VM to standby or failover Heavy Forwarder, Linux TA-McAfee (DBConnect) TA-Checkpoint epo Database Checkpoint Server Firewall 11

12 Deployment Server Deployment Server to manage Linux and Windows forwarders Not a HA design, but could be hosted on a VM to standby or failover Deployment Server Splunk Forwarders to get apps from splkds.internal.door2door.com:

13 Forwarding Tier Indexers Splunk AutoLB to splkidx.internal.door2door.com:9997 Deployment Server Splunk Forwarders to get apps from splkds.internal.door2door.com:8089 epo Database Syslog-NG Server Syslog-NG Server Load Balancer Windows SharePoint Server Windows AD Server Forwarders, Windows Forwarders, Linux Heavy Forwarder, Linux TA-McAfee (DBConnect) TA-Checkpoint Checkpoint Server Syslog 514/tcp & 514/udp Firewall Router (Physical) Load Balancer 13

14 Forwarding Tier Design Best PracMces! Use a Syslog Server for Syslog data! Be careful with Intermediate forwarders They can introduce bozlenecks Reduce the distribumon of events across Indexers! AutoLB will spread over all available indexers, but don t assume evenly! Enable forcetimebasedautolb! May need to increase UF thruput sejng for high velocity sources [thruput] maxkbps 14

15 Indexing Architecture

16 Design Factors Indexing Tier! 1 Tb/day (1000Gb/day) peak ingest! High Availability Indexer ReplicaMon (RF=3/SF=2)! 10% Disk Space ConMngency! 90 days minimum data retenmon! Cluster Sizing Calculator! hzp://splunk- sizing.appspot.com 16

17 ! RAID ConfiguraMon Amount of raw disk Fault tolerance Available IOPS Storage CalculaMons! Filesystem Overhead inodes consume space! Wiggle room AddiMonal replicated buckets when a node fails Unbalanced replicated buckets! Splunk internal logs, Summary Indexes, Report AcceleraMon, Accelerated Data Models 17

18 Indexer IOPS!

19 Storage Types! Local vs Direct AZached vs SAN vs NAS! SSD/Flash vs Spinning Disk SSDs offer much higher IOPS with no latency Significant performance increases with Sparse Searches 19

20 Cluster Master Server! Indexer Apps are deployed via CM! Not a HA design, but could be hosted on a VM to standby or failover 20

21 Indexing Tier Master Cluster Node 21

22 Indexing Tier Design Best PracMces! Depending on Searchload Gb max/idx/day***! Max # of Indexes (indices) when clustering is enabled 22

23 How Clustering Affects Sizing Increased storage: 15% of raw usage for every replica copy 35% MORE to make that searchable Increased processing Incoming data to indexer is streamed to indexing peers to samsfy required number of copies More hosts Need replicamon factor + 2 (search head, cluster master) 23

24 Benefits of Clustering Data redundancy Data availability Indexer resiliency Simpler management of indexers Simpler setup of distributed search MulM- site clustering allows site- specific search to reduce WAN traffic 24

25 Search Architecture

26 Design Factors! High Availability! Search Head Clustering! # users! # concurrent searches! Forward all data to indexers Search Tier 26

27 SHC & Deployer! Search Head Cluster Apps need to be installed by the Deployer! A minimum of 3 Search Heads are required for a SHC! No exchange, no dbx with SHC 27

28 Search Tier Load Balancer Search Head Search Head Search Head Deployer License Server 28

29 Search Tier Design Best PracMces! ES will smll require a separate Search Head or dedicated SHC! Use LDAP/AD/SSO for user AuthenMcaMon! Load Balancer configured for smcky sessions 29

30 Final Design

31 Pujng It All Together 31

32 MigraMon

33 ! Add the exismng Splunk instance as a search peer unml the data retenmon period has expired! Disable scheduled searches on the old instance! Migrate any Summary Index data to new Indexers Hybrid Approach 33

34 Review

35 Top 5 Things To Consider! Indexer Storage requirements Size and IOPS! Minimum buy- in for a SHC is 3! Use VMs for CM/LS/DS/Deployer if possible! Consider a dedicated SH for a Distributed Management Console! When in doubt add another Indexer 35

36 Required Reading Distributed Deployment Manual hzp://docs.splunk.com/documentamon/splunk/latest/deploy/ Distributedoverview Highlights Reference hardware specs How searches affect performance ê Dense / Rare / Sparse App consideramons Summary table 36

37 Best PracMces

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