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SplunkLive! Amsterdam 2015 Breakout - Getting Started with Splunk

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Filip Wijnholds is a senior sales engineer at Splunk who joined the company in June 2015 after working at Intel Security for 4 years. He began his career in the networking industry working with packet capture software. The document provides an overview of Splunk's machine data platform and how it can ingest and analyze data from various sources. It also outlines the company's legal notices regarding forward-looking statements and product roadmaps.

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Copyright  ©  2015  Splunk  Inc.   Filip  Wijnholds   Sr.  Sales  Engineer   GeAng  Started  with   Splunk  Enterprise  
Filip  Wijnholds   Joined  Splunk  June  2015      Intel  Security  4  years  prior.     “Packet  head”  Started  with  with  Sniffer  PRO        At  Network  General     Favorite  T-­‐Shirt  Quote:  I  like  big  data          and  I  cannot  lie.        
Legal  No)ces   During  the  course  of  this  presentaUon,  we  may  make  forward-­‐looking  statements  regarding  future   events  or  the  expected  performance  of  the  company.  We  cauUon  you  that  such  statements  reflect  our   current  expectaUons  and  esUmates  based  on  factors  currently  known  to  us  and  that  actual  events  or   results  could  differ  materially.  For  important  factors  that  may  cause  actual  results  to  differ  from  those   contained  in  our  forward-­‐looking  statements,  please  review  our  filings  with  the  SEC.    The  forward-­‐ looking  statements  made  in  this  presentaUon  are  being  made  as  of  the  Ume  and  date  of  its  live   presentaUon.    If  reviewed  a[er  its  live  presentaUon,  this  presentaUon  may  not  contain  current  or   accurate  informaUon.      We  do  not  assume  any  obligaUon  to  update  any  forward-­‐looking  statements   we  may  make.    In  addiUon,  any  informaUon  about  our  roadmap  outlines  our  general  product  direcUon   and  is  subject  to  change  at  any  Ume  without  noUce.    It  is  for  informaUonal  purposes  only  and  shall   not  be  incorporated  into  any  contract  or  other  commitment.    Splunk  undertakes  no  obligaUon  either   to  develop  the  features  or  funcUonality  described  or  to  include  any  such  feature  or  funcUonality  in  a   future  release.   3  
4   Making  machine  data  accessible,   usable  and  valuable  to  everyone.     4  
Our  Plan  of  AcUon   5   1. SeAng  the  stage.   2. How  does  Splunk  fit  in  the  landscape?   3. What  differen'ates  Splunk?   4. Components  that  make  up  Splunk?   5. Demo  -­‐  How  it  works?  
The  AcceleraUng  Pace  of  Data   Volume    |    Velocity    |    Variety  |  Variability   GPS,   RFID,   Hypervisor,   Web  Servers,   Email,  Messaging,   Clickstreams,  Mobile,     Telephony,  IVR,  Databases,   Sensors,  TelemaUcs,  Storage,   Servers,  Security  Devices,  Desktops     Machine  data  is  the  fastest  growing,  most   complex,  most  valuable  area  of  big  data   6  
Industry  Leading  Pladorm  For  Machine  Data    Machine  Data:  Any  Loca)on,  Type,  Volume   Online   Services   Web   Services   Servers   Security   GPS   LocaUon   Storage   Desktops   Networks   Packaged   ApplicaUons   Custom   ApplicaUons  Messaging   Telecoms   Online   Shopping   Cart   Web   Clickstreams   Databases   Energy   Meters   Call  Detail   Records   Smartphones   and  Devices   RFID   On-­‐   Premises   Private     Cloud   Public     Cloud   PlaAorm  Support  (Apps  /  API  /  SDKs)   Enterprise  Scalability   Universal  Indexing   Answer  Any  Ques)on   Developer   PlaAorm   Report  and     analyze   Custom     dashboards   Monitor     and  alert   Ad  hoc     search   Universal   Machine  Data   Pladorm  
Industry  Leading  Pladorm  For  Machine  Data    Machine  Data:  Any  Loca)on,  Type,  Volume   Online   Services   Web   Services   Servers   Security   GPS   LocaUon   Storage   Desktops   Networks   Packaged   ApplicaUons   Custom   ApplicaUons  Messaging   Telecoms   Online   Shopping   Cart   Web   Clickstreams   Databases   Energy   Meters   Call  Detail   Records   Smartphones   and  Devices   RFID   On-­‐   Premises   Private     Cloud   Public     Cloud   PlaAorm  Support  (Apps  /  API  /  SDKs)   Enterprise  Scalability   Universal  Indexing   Answer  Any  Ques)on   Developer   PlaAorm   Report  and     analyze   Custom     dashboards   Monitor     and  alert   Ad  hoc     search   Any  amount,  any  locaUon,  any  source   Schema-­‐ on-­‐the-­‐fly   Universal   indexing   No     back-­‐end   RDBMS   No  need     to  filter   data   Schema  on   the  Fly  
Mainframe   Data   VMware   Pladorm  for  Machine  Data   Easy  to  Adopt  Splunk   Exchange   PCI  Security   DB  Connect   Mobile  Forwarders   Syslog  /     TCP  /  Other   Sensors  &   Control  Systems   Rich  Ecosystem  of  Apps   Across  Data  Sources,  Use  Cases  &  Consump)on  Models   Stream   9   Passionate   and  Vibrant   Community  
Big  Data  Landscape   Key/Value,  Columnar  or     Other  (semi-­‐structured)   Cassandra   CouchDB   MongoDB   NoSQL   10   Rela)onal  Database    (highly  structured)   SQL  &   MapReduce   RDBMS   Oracle,   MySQL,   IBM  DB2,   Teradata   Teradata  Aster  Data   SQL  on  Hadoop   Distributed  File  System   (semi-­‐structured)   Hadoop   HDFS  Storage  +     MapReduce   Temporal,  Unstructured   Heterogeneous   Real-­‐Time  Indexing   MapReduce  
Big  Data  Landscape   Key/Value,  Columnar  or     Other  (semi-­‐structured)   Cassandra   CouchDB   MongoDB   NoSQL   11   Rela)onal  Database    (highly  structured)   SQL  &   MapReduce   RDBMS   Oracle,   MySQL,   IBM  DB2,   Teradata   Teradata  Aster  Data   SQL  on  Hadoop   Distributed  File  System   (semi-­‐structured)   Hadoop   HDFS  Storage  +     MapReduce   Temporal,  Unstructured   Heterogeneous   Real-­‐Time  Indexing   MapReduce  
1.   2.   3.   4.   How  to  Get  Started   Download   Install   Forward  Data   Search   Databases   Networks   Servers   Virtual   Machines   Smart   phones   and   Devices   Custom   ApplicaUons   Security   Web  Server   Sensors   Four  steps:  
Define  Product  Roles   " Searching  and  ReporUng  (Search  Head)     " Indexing  and  Search  Services  (Indexer)     " Data  CollecUon  and  Forwarding  (Forwarder)   " Data  Governor  (Cluster  Master)   " Distributed  Management  (Deployment  Server)     Databases   Networks   Servers   Virtual   Machines   Smart   phones   and   Devices   Custom   ApplicaUons   Security   Web  Server   Sensors   Scales  from   Desktop  to   Enterprise  
Scales  to  Hundreds  of  TBs/Day   Enterprise-­‐Class  Scale,  Resilience  and  Interoperability   Send  data  from  thousands  of  servers  using  any  combinaUon  of  Splunk  Forwarders       Auto  load-­‐balanced  forwarding  to  Splunk  Indexers   Offload  search  load  to  Splunk  Search  Heads   Scales  from   Desktop  to   Enterprise  
Demo  –  How  it  Works   15   1.     Installing  and  StarUng  Splunk   2.     IngesUng  Data   3.     Search  Basics     •  Search  Bar   •  Time  Picker   •  Extracted  Fields     4.     Dynamic  Field  ExtracUon     5.     AlerUng   6.     StaUsUcs  and  ReporUng   7.     Command  Language   8.     Splunk  ApplicaUons  
Supplemental  InformaUon   16   Get  the  following  at  splunk.does-­‐it.net     Download   •  www.splunk.com/download     Search  Tutorial:   •  docs.splunk.com/DocumentaUon/Splunk/latest/SearchTutorial     Tutorial  Data:   •  docs.splunk.com/images/Tutorial/tutorialdata.zip    
Demo   17  
EducaUon  Resources   18   Splunk  Educa)on   •  www.splunk.com/educaUon       Using  Splunk,  Searching  and  ReporUng,  Developing  Apps,     Administering  Splunk,  and  more!     Books   •  ImplemenUng  Splunk:  Big  Data  EssenUals  for  OperaUonal  Intelligence   •  Splunk  EssenUals   •  Exploring  Splunk   •  Splunk  OperaUonal  Intelligence  Cookbook  
Things  to  Remember   19   1.     Splunk  is  Free  –  Download  and  get  started  today   2.     Quick  Time  to  Value   3.     Data  Gold  Mines  –  what  informaUonal  fortune  awaits?!   4.     Leverage  the  Splunk  Community   •  splunkbase.splunk.com   •  answers.splunk.com   •  blogs.splunk.com   5.     Happy  Splunking!!  
QuesUons?  
Thank  You  

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SplunkLive! Amsterdam 2015 Breakout - Getting Started with Splunk

  • 1. Copyright  ©  2015  Splunk  Inc.   Filip  Wijnholds   Sr.  Sales  Engineer   GeAng  Started  with   Splunk  Enterprise  
  • 2. Filip  Wijnholds   Joined  Splunk  June  2015      Intel  Security  4  years  prior.     “Packet  head”  Started  with  with  Sniffer  PRO        At  Network  General     Favorite  T-­‐Shirt  Quote:  I  like  big  data          and  I  cannot  lie.        
  • 3. Legal  No)ces   During  the  course  of  this  presentaUon,  we  may  make  forward-­‐looking  statements  regarding  future   events  or  the  expected  performance  of  the  company.  We  cauUon  you  that  such  statements  reflect  our   current  expectaUons  and  esUmates  based  on  factors  currently  known  to  us  and  that  actual  events  or   results  could  differ  materially.  For  important  factors  that  may  cause  actual  results  to  differ  from  those   contained  in  our  forward-­‐looking  statements,  please  review  our  filings  with  the  SEC.    The  forward-­‐ looking  statements  made  in  this  presentaUon  are  being  made  as  of  the  Ume  and  date  of  its  live   presentaUon.    If  reviewed  a[er  its  live  presentaUon,  this  presentaUon  may  not  contain  current  or   accurate  informaUon.      We  do  not  assume  any  obligaUon  to  update  any  forward-­‐looking  statements   we  may  make.    In  addiUon,  any  informaUon  about  our  roadmap  outlines  our  general  product  direcUon   and  is  subject  to  change  at  any  Ume  without  noUce.    It  is  for  informaUonal  purposes  only  and  shall   not  be  incorporated  into  any  contract  or  other  commitment.    Splunk  undertakes  no  obligaUon  either   to  develop  the  features  or  funcUonality  described  or  to  include  any  such  feature  or  funcUonality  in  a   future  release.   3  
  • 4. 4   Making  machine  data  accessible,   usable  and  valuable  to  everyone.     4  
  • 5. Our  Plan  of  AcUon   5   1. SeAng  the  stage.   2. How  does  Splunk  fit  in  the  landscape?   3. What  differen'ates  Splunk?   4. Components  that  make  up  Splunk?   5. Demo  -­‐  How  it  works?  
  • 6. The  AcceleraUng  Pace  of  Data   Volume    |    Velocity    |    Variety  |  Variability   GPS,   RFID,   Hypervisor,   Web  Servers,   Email,  Messaging,   Clickstreams,  Mobile,     Telephony,  IVR,  Databases,   Sensors,  TelemaUcs,  Storage,   Servers,  Security  Devices,  Desktops     Machine  data  is  the  fastest  growing,  most   complex,  most  valuable  area  of  big  data   6  
  • 7. Industry  Leading  Pladorm  For  Machine  Data    Machine  Data:  Any  Loca)on,  Type,  Volume   Online   Services   Web   Services   Servers   Security   GPS   LocaUon   Storage   Desktops   Networks   Packaged   ApplicaUons   Custom   ApplicaUons  Messaging   Telecoms   Online   Shopping   Cart   Web   Clickstreams   Databases   Energy   Meters   Call  Detail   Records   Smartphones   and  Devices   RFID   On-­‐   Premises   Private     Cloud   Public     Cloud   PlaAorm  Support  (Apps  /  API  /  SDKs)   Enterprise  Scalability   Universal  Indexing   Answer  Any  Ques)on   Developer   PlaAorm   Report  and     analyze   Custom     dashboards   Monitor     and  alert   Ad  hoc     search   Universal   Machine  Data   Pladorm  
  • 8. Industry  Leading  Pladorm  For  Machine  Data    Machine  Data:  Any  Loca)on,  Type,  Volume   Online   Services   Web   Services   Servers   Security   GPS   LocaUon   Storage   Desktops   Networks   Packaged   ApplicaUons   Custom   ApplicaUons  Messaging   Telecoms   Online   Shopping   Cart   Web   Clickstreams   Databases   Energy   Meters   Call  Detail   Records   Smartphones   and  Devices   RFID   On-­‐   Premises   Private     Cloud   Public     Cloud   PlaAorm  Support  (Apps  /  API  /  SDKs)   Enterprise  Scalability   Universal  Indexing   Answer  Any  Ques)on   Developer   PlaAorm   Report  and     analyze   Custom     dashboards   Monitor     and  alert   Ad  hoc     search   Any  amount,  any  locaUon,  any  source   Schema-­‐ on-­‐the-­‐fly   Universal   indexing   No     back-­‐end   RDBMS   No  need     to  filter   data   Schema  on   the  Fly  
  • 9. Mainframe   Data   VMware   Pladorm  for  Machine  Data   Easy  to  Adopt  Splunk   Exchange   PCI  Security   DB  Connect   Mobile  Forwarders   Syslog  /     TCP  /  Other   Sensors  &   Control  Systems   Rich  Ecosystem  of  Apps   Across  Data  Sources,  Use  Cases  &  Consump)on  Models   Stream   9   Passionate   and  Vibrant   Community  
  • 10. Big  Data  Landscape   Key/Value,  Columnar  or     Other  (semi-­‐structured)   Cassandra   CouchDB   MongoDB   NoSQL   10   Rela)onal  Database    (highly  structured)   SQL  &   MapReduce   RDBMS   Oracle,   MySQL,   IBM  DB2,   Teradata   Teradata  Aster  Data   SQL  on  Hadoop   Distributed  File  System   (semi-­‐structured)   Hadoop   HDFS  Storage  +     MapReduce   Temporal,  Unstructured   Heterogeneous   Real-­‐Time  Indexing   MapReduce  
  • 11. Big  Data  Landscape   Key/Value,  Columnar  or     Other  (semi-­‐structured)   Cassandra   CouchDB   MongoDB   NoSQL   11   Rela)onal  Database    (highly  structured)   SQL  &   MapReduce   RDBMS   Oracle,   MySQL,   IBM  DB2,   Teradata   Teradata  Aster  Data   SQL  on  Hadoop   Distributed  File  System   (semi-­‐structured)   Hadoop   HDFS  Storage  +     MapReduce   Temporal,  Unstructured   Heterogeneous   Real-­‐Time  Indexing   MapReduce  
  • 12. 1.   2.   3.   4.   How  to  Get  Started   Download   Install   Forward  Data   Search   Databases   Networks   Servers   Virtual   Machines   Smart   phones   and   Devices   Custom   ApplicaUons   Security   Web  Server   Sensors   Four  steps:  
  • 13. Define  Product  Roles   " Searching  and  ReporUng  (Search  Head)     " Indexing  and  Search  Services  (Indexer)     " Data  CollecUon  and  Forwarding  (Forwarder)   " Data  Governor  (Cluster  Master)   " Distributed  Management  (Deployment  Server)     Databases   Networks   Servers   Virtual   Machines   Smart   phones   and   Devices   Custom   ApplicaUons   Security   Web  Server   Sensors   Scales  from   Desktop  to   Enterprise  
  • 14. Scales  to  Hundreds  of  TBs/Day   Enterprise-­‐Class  Scale,  Resilience  and  Interoperability   Send  data  from  thousands  of  servers  using  any  combinaUon  of  Splunk  Forwarders       Auto  load-­‐balanced  forwarding  to  Splunk  Indexers   Offload  search  load  to  Splunk  Search  Heads   Scales  from   Desktop  to   Enterprise  
  • 15. Demo  –  How  it  Works   15   1.     Installing  and  StarUng  Splunk   2.     IngesUng  Data   3.     Search  Basics     •  Search  Bar   •  Time  Picker   •  Extracted  Fields     4.     Dynamic  Field  ExtracUon     5.     AlerUng   6.     StaUsUcs  and  ReporUng   7.     Command  Language   8.     Splunk  ApplicaUons  
  • 16. Supplemental  InformaUon   16   Get  the  following  at  splunk.does-­‐it.net     Download   •  www.splunk.com/download     Search  Tutorial:   •  docs.splunk.com/DocumentaUon/Splunk/latest/SearchTutorial     Tutorial  Data:   •  docs.splunk.com/images/Tutorial/tutorialdata.zip    
  • 18. EducaUon  Resources   18   Splunk  Educa)on   •  www.splunk.com/educaUon       Using  Splunk,  Searching  and  ReporUng,  Developing  Apps,     Administering  Splunk,  and  more!     Books   •  ImplemenUng  Splunk:  Big  Data  EssenUals  for  OperaUonal  Intelligence   •  Splunk  EssenUals   •  Exploring  Splunk   •  Splunk  OperaUonal  Intelligence  Cookbook  
  • 19. Things  to  Remember   19   1.     Splunk  is  Free  –  Download  and  get  started  today   2.     Quick  Time  to  Value   3.     Data  Gold  Mines  –  what  informaUonal  fortune  awaits?!   4.     Leverage  the  Splunk  Community   •  splunkbase.splunk.com   •  answers.splunk.com   •  blogs.splunk.com   5.     Happy  Splunking!!