Splunk for Ad Hoc Explora2on of Twi6er (and more) Stephen Sorkin VP Engineering, Splunk

Size: px
Start display at page:

Download "Splunk for Ad Hoc Explora2on of Twi6er (and more) Stephen Sorkin VP Engineering, Splunk"

Transcription

1 Splunk for Ad Hoc Explora2on of Twi6er (and more) Stephen Sorkin VP Engineering, Splunk

2 Who am I Berkeley PhD dropout. LeH to work at HP Labs. At Splunk since VP Engineering since Run the core product team.

3 Agenda Inspira2on for Splunk Architecture: Collec2on Indexing Search Real- 2me Search Demo

4 Sources What Does Machine Data Look Like? Order Processing Middleware Error Care IVR Twi,er 4

5 Sources Machine Data Contains Cri2cal Insights Customer ID Order ID Product ID Order Processing Order ID Customer ID Middleware Error Time Wai2ng On Hold Care IVR Customer ID Twi6er ID Customer s Tweet Twi,er Company s Twi6er ID 5

6 Splunk Enterprise with Hadoop GPS, RFID, Hypervisor, Web Servers, , Messaging, Clickstreams, Mobile, Telephony, IVR, Data Databases, Sensors, Telema2cs, Storage, Servers, Security devices, Desktops, CDRs, Applica2ons Ad hoc search Add knowledg e Splunk storage Monitor and alert Custom dashboard s Report and analyze Other Data Stores 6

7 Ge[ng Data into Splunk Agent and Agent- less Approach for Flexibility syslog TCP/UDP Local File Monitoring log filesconfig files dumps and trace files syslog compagble hosts and network devices Mounted File Systems \\hostname\mount WMI Event Logs Performance AcGve Director yy code Scripted Inputs shell scripts custom parsers batch loading Windows Inputs Event Logs performance counters registry monitoring Directory monitoring shell perf virtual host Unix, Linux and Windows hosts Windows hosts Custom apps and scripted API connecgons Windows hosts Agent- less Data Input Splunk Forwarder 7

8 Pipelines/Processors Parsing Pipeline Merging Pipeline Typing Pipeline Index Pipeline Network Inputs u_8 Regex replacement tcp out File System Inputs Parsing Queue linebreaker Agg Queue aggregator Typing Queue Index Queue syslog out annotator Scripted Inputs header indexer

9 Index Processor IDX 2 IDX 3 IDX 1 Source/Sourcetype/Host Metadata 1 source : : /my/log 100 et lt it Home Path 2 source: : /blah 150 et lt it hot_v1_100 *.data *.tsidx rawdata TSIDX cream apple beer coke ice java LEXICON hot_v1_101 apple POSTING db_lt_et_101 beer Cold Path db_lt_et_80 Rawdata apple pie and ice cream is delicious Thawed Path db_lt_et_70 an apple a day keeps doctor away 9

10 Events Bucket Lifecycle [Hot Bucket is Full] [Too Many Warms] [Out of Space or Bucket is Old] $ Home Path $ Cold Path [Cheaper Storage] [Explicit User Ac2on] $ Thawed Path $ Frozen Path or Deleted 10

11 Scales to TBs/day and Thousands of Users Automa2c load balancing linearly scales indexing " Distributed search and MapReduce linearly scales search and repor2ng 11

12 Search Model Splunk Database as a table Columns = fields, rows = events No fixed schema Unlimited number of rows, can be very sparse Special fields: _raw, _time, host, source, sourcetype search: series of commands with arguments implicit search command usually first Input/output of every command is a table 12

13 Search Model Example 13

14 Search Command Expand Search: lookups, tags, savedsearch, even6ypes, etc LISPY Expression (per index) DB Lookup s Calculated fields (5.0+) Field aliasing Field extracgons sourcetype renaming Filter Apply even,ype s Apply tags 14

15 Inside Universal Indexing Automa2c event boundary iden2fica2on Automa2c 2mestamp normaliza2on...enable accurate searching and trending by 2me across all data: 15

16 Inside Search- 2me Knowledge Extrac2on Automa2cally discovered fields And user- defined fields... enable sta2s2cs and precise search on specific fields: 16

17 Inside Search- 2me Knowledge Searches saved as event types Extrac2on Plus tagging of event types, hosts and other fields... enable normalized repor2ng, knowledge sharing and granular access control. 17

18 Integrate External Data Extend analysis with lookups to external data sources LDAP, AD Watch Lists CMDB CRM/ ERP Correlate IP addresses with loca2ons, accounts with regions 18

19 1. POST to /services/ search/jobs on search head 2. Search head spawns search in a separate process Distributed Searching Distributed Search UI Search Head REST Splunkd DB Search Head Search Process Indexer 1 Indexer 2 3. Send remote version of search to each search peers via /services/streams/ search 4. Each search peer spawns another search process to run remote search 5. Read data from indexes 5b. For real2me, connect back to splunkd REST REST Search Peers Splunkd Search Process Splunkd Search Process DB DB 19

20 Real- 2me Search Data Monitor Input TCP/UDP Input Scripted Input Parsing Queue Parsing Pipeline Source, event typing Character set normaliza2on Line breaking Timestamp iden2fica2on Regex transforms Index Queue Real- 2me Buffer Indexing Pipeline Raw data Index Files Real- 2me Search Process Index 20

21 Real- 2me Aler2ng source= /var/log/secure.log BAD SU Data Monitor Input TCP/UDP Input Scripted Input Parsing Queue Parsing Pipeline Source, event typing Character set normaliza2on Line breaking Timestamp iden2fica2on Regex transforms Index Queue Real- 2me Buffer Indexing Pipeline Raw data Index Files Real- 2me Search Process Index 21

22 Demo " h6p://socialsplunk.com/ " h6p://socialsplunk.com:8081/map " h6ps://splunk4good- rtv.s3.amazonaws.com/ rtv.png

23 The 2012 Elec2on source="twitter_httpstream" romney OR obama eval text=lower(body) fields text rex field=text max_match=1000 za- Z]{5,})" eval token=mvfilter(not match(token, `clean_tweets` eval candidate=if(searchmatch("*obama* AND *romney*"), "obama:romney", if(searchmatch("*romney*"), "romney", if(searchmatch("*obama*"), "obama", null))) where NOT isnull(candidate) makemv delim=":" candidate top token by candidate limit=50

Understanding Splunk AcceleraGon Technologies David Marquardt

Understanding Splunk AcceleraGon Technologies David Marquardt Copyright 2013 Splunk Inc. Understanding Splunk AcceleraGon Technologies David Marquardt Senior So?ware Engineer #splunkconf Legal NoGces During the course of this presentagon, we may make forward- looking

More information

SPLUNK IN OPERATIONS Karsten Thygesen CTO, Netic A/S

SPLUNK IN OPERATIONS Karsten Thygesen CTO, Netic A/S SPLUNK IN OPERATIONS Karsten Thygesen CTO, Netic A/S Who is Karsten? CTO, Ne(c A/S Masters, CS from Aalborg University In opera(ons for 25+ years Splunk deployment Architect Evangelist of new technologies

More information

Data Onboarding. Where Do I begin? Luke Netto Senior Professional Services Splunk. September 26, 2017 Washington, DC

Data Onboarding. Where Do I begin? Luke Netto Senior Professional Services Splunk. September 26, 2017 Washington, DC Data Onboarding Where Do I begin? Luke Netto Senior Professional Services Consultant @ Splunk September 26, 2017 Washington, DC Forward-Looking Statements During the course of this presentation, we may

More information

Bring Context To Your Machine Data With Hadoop, RDBMS & Splunk

Bring Context To Your Machine Data With Hadoop, RDBMS & Splunk Bring Context To Your Machine Data With Hadoop, RDBMS & Splunk Raanan Dagan and Rohit Pujari September 25, 2017 Washington, DC Forward-Looking Statements During the course of this presentation, we may

More information

Data Obfuscation and Field Protection in Splunk

Data Obfuscation and Field Protection in Splunk Data Obfuscation and Field Protection in Splunk Angelo Brancato Security Specialist Dirk Nitschke Senior Sales Engineer 28 September 2017 Washington, DC 2017 SPLUNK INC. Agenda Protect Your Machine Data

More information

IN: US:

IN: US: About Intellipaat Intellipaat is a fast-growing professional training provider that is offering training in over 150 most sought-after tools and technologies. We have a learner base of 600,000 in over

More information

Splunk Review. 1. Introduction

Splunk Review. 1. Introduction Splunk Review 1. Introduction 2. Splunk Splunk is a software tool for searching, monitoring and analysing machine generated data via web interface. It indexes and correlates real-time and non-real-time

More information

Harnessing 6.3 Performance and Scalability

Harnessing 6.3 Performance and Scalability Copyright 2015 Splunk Inc. Harnessing 6.3 Performance and Scalability Abhinav NekkanF Tameem Anwar Sourav Pal Splunk Disclaimer During the course of this presentafon, we may make forward looking statements

More information

Application Logging Best Practices. <Presenter> <Title>

Application Logging Best Practices. <Presenter> <Title> Application Logging Best Practices Agenda Reality of Event Logging Liberating Application Data Operational Best Practices Data Enrichment Other Data Sources More Developer Tools 2 3

More information

Inputs: File, Network, Script, and More! Splunkd: Pipelines & Processors & Queues, Oh my!

Inputs: File, Network, Script, and More! Splunkd: Pipelines & Processors & Queues, Oh my! Copyright 2014 Splunk Inc. Inputs: File, Network, Script, and More! Splunkd: Pipelines & Processors & Queues, Oh my! Amrit Bath Jag Kerai Disclaimer During the course of this presentanon, we may make forward

More information

AnyMiner 3.0, Real-time Big Data Analysis Solution for Everything Data Analysis. Mar 25, TmaxSoft Co., Ltd. All Rights Reserved.

AnyMiner 3.0, Real-time Big Data Analysis Solution for Everything Data Analysis. Mar 25, TmaxSoft Co., Ltd. All Rights Reserved. AnyMiner 3.0, Real-time Big Analysis Solution for Everything Analysis Mar 25, 2015 2015 TmaxSoft Co., Ltd. All Rights Reserved. Ⅰ Ⅱ Ⅲ Platform for Net IT AnyMiner, Real-time Big Analysis Solution AnyMiner

More information

SOLUTION TRACK Finding the Needle in a Big Data Innovator & Problem Solver Cloudera

SOLUTION TRACK Finding the Needle in a Big Data Innovator & Problem Solver Cloudera SOLUTION TRACK Finding the Needle in a Big Data Haystack @EvaAndreasson, Innovator & Problem Solver Cloudera Agenda Problem (Solving) Apache Solr + Apache Hadoop et al Real-world examples Q&A Problem Solving

More information

Log Analysis with. Presenter: Nathan Hunstad May 2015

Log Analysis with. Presenter: Nathan Hunstad May 2015 Log Analysis with Presenter: Nathan Hunstad May 2015 Obligatory Disclaimer This talk represents my own work: I am not representing any employer, organization, or affiliated group, past, present, or future

More information

Real-Time Vulnerability Management Operationalizing the VM process from detection to remediation

Real-Time Vulnerability Management Operationalizing the VM process from detection to remediation 18 QUALYS SECURITY CONFERENCE 2018 Real-Time Vulnerability Management Operationalizing the VM process from detection to remediation Jimmy Graham Senior Director, Product Management, Qualys, Inc. Agenda

More information

StreamSets Control Hub Installation Guide

StreamSets Control Hub Installation Guide StreamSets Control Hub Installation Guide Version 3.2.1 2018, StreamSets, Inc. All rights reserved. Table of Contents 2 Table of Contents Chapter 1: What's New...1 What's New in 3.2.1... 2 What's New in

More information

Real-Time Vulnerability Management Operationalizing the VM process from detection to remediation

Real-Time Vulnerability Management Operationalizing the VM process from detection to remediation 18 QUALYS SECURITY CONFERENCE 2018 Real-Time Vulnerability Management Operationalizing the VM process from detection to remediation Jimmy Graham Director, Product Management, Qualys, Inc. Agenda Expanding

More information

Centrify for Splunk Integration Guide

Centrify for Splunk Integration Guide July 2018 Centrify Corporation Abstract This guide is written for Centrify Infrastructure Services customers who want to integrate Centrify events with Splunk. Legal Notice This document and the software

More information

Onboard Data into Splunk, Correctly

Onboard Data into Splunk, Correctly Copyright 2013 Splunk Inc. Onboard Data into Splunk, Correctly Ma:hew Se=pane Professional Services Manager, Splunk #splunkconf Legal NoJces During the course of this presentajon, we may make forward-

More information

Splunk Enterprise Security For Proactive Monitoring

Splunk Enterprise Security For Proactive Monitoring Splunk Enterprise Security For Proactive Monitoring AKA: Enterprise Security Tips, Tricks, and Analytics Purpose Describe Tips for a Clean Setup of ES Provide Tricks From the Field in Setup/Mgmt Demonstrate

More information

Splunk & Amazon Web Services

Splunk & Amazon Web Services Splunk & Amazon Web Services June 2016 Tony Bolander tbolander@splunk.com Daniel Lew dalew@splunk.com 1 Industry Leading Platform For Machine Data Machine Data: Any Location, Type, Volume Answer Any Question

More information

GeIng Deeper Insights into your and Storage with Splunk

GeIng Deeper Insights into your and Storage with Splunk Copyright 2014 Splunk Inc. GeIng Deeper Insights into your Virtualiza@on and Storage with Splunk Stela Udovicic Sr. Product Marke@ng Manager, Splunk Michael Donnelly Senior SE, Virtualiza@on Technologies

More information

Extending SPL with Custom Search Commands

Extending SPL with Custom Search Commands Extending SPL with Custom Search Commands Jacob Leverich Director of Engineering 2017/08/11 Washington, DC Forward-Looking Statements During the course of this presentation, we may make forward-looking

More information

Copyright 2014 Splunk Inc. Data On- Boarding. Andrew Duca Sr. Professional Services Consultant, Splunk

Copyright 2014 Splunk Inc. Data On- Boarding. Andrew Duca Sr. Professional Services Consultant, Splunk Copyright 2014 Splunk Inc. Data On- Boarding Andrew Duca Sr. Professional Services Consultant, Splunk Disclaimer During the course of this presentagon, we may make forward- looking statements regarding

More information

What are we going to talk about today?

What are we going to talk about today? For those of you who haven t worked with me over the past 6 years, I m Bryan Senter. I ve been in Wiesbaden in a different role for 5 years. I followed the crowd from Heidelberg before that. EPMSaaS stands

More information

HBase... And Lewis Carroll! Twi:er,

HBase... And Lewis Carroll! Twi:er, HBase... And Lewis Carroll! jw4ean@cloudera.com Twi:er, LinkedIn: @jw4ean 1 Introduc@on 2010: Cloudera Solu@ons Architect 2011: Cloudera TAM/DSE 2012-2013: Cloudera Training focusing on Partners and Newbies

More information

Document Databases: MongoDB

Document Databases: MongoDB NDBI040: Big Data Management and NoSQL Databases hp://www.ksi.mff.cuni.cz/~svoboda/courses/171-ndbi040/ Lecture 9 Document Databases: MongoDB Marn Svoboda svoboda@ksi.mff.cuni.cz 28. 11. 2017 Charles University

More information

How splunkd works. splunkd: Pipelines, Processors, Queues Inputs: File, Network, Script, HEC, S2S, Debugging: Metrics, Monitoring Console

How splunkd works. splunkd: Pipelines, Processors, Queues Inputs: File, Network, Script, HEC, S2S, Debugging: Metrics, Monitoring Console How splunkd works splunkd: Pipelines, Processors, Queues Inputs: File, Network, Script, HEC, S2S, Debugging: Metrics, Monitoring Console by Amrit Bath, Abhinav Nekkanti Forward-Looking Statements During

More information

AWS Security Monitoring & Compliance ValidaFon From Adobe

AWS Security Monitoring & Compliance ValidaFon From Adobe Copyright 2016 Splunk Inc. AWS Security Monitoring & Compliance ValidaFon From Adobe Sco8 Pack Security Engineer, Adobe Presenter Sco8 Pack Security Engineer @ Adobe SLC, UT 4 Year Splunker Proudly DQd

More information

Bringing Sweetness to Sour Patch Tuesday

Bringing Sweetness to Sour Patch Tuesday Bringing Sweetness to Sour Patch Tuesday Pacific Northwest National Laboratory Justin Brown & Arzu Gosney September 27, 2017 Washington, DC Forward-Looking Statements During the course of this presentation,

More information

OUTLINE. NSLS-II control system environment Monitoring goals Splunk and Splunk Apps Unix, Nagios, Snort sflow and Cacti Putting it all together

OUTLINE. NSLS-II control system environment Monitoring goals Splunk and Splunk Apps Unix, Nagios, Snort sflow and Cacti Putting it all together OUTLINE NSLS-II control system environment Monitoring goals Splunk and Splunk Apps Unix, Nagios, Snort sflow and Cacti Putting it all together NSLS-II CONTROL SYSTEM ENVIRONMENT Private network no email,

More information

VOLTDB + HP VERTICA. page

VOLTDB + HP VERTICA. page VOLTDB + HP VERTICA ARCHITECTURE FOR FAST AND BIG DATA ARCHITECTURE FOR FAST + BIG DATA FAST DATA Fast Serve Analytics BIG DATA BI Reporting Fast Operational Database Streaming Analytics Columnar Analytics

More information

Copyright 2014 Splunk Inc. Search in 500 easy steps. Julian Harty. SE, Splunk>

Copyright 2014 Splunk Inc. Search in 500 easy steps. Julian Harty. SE, Splunk> Copyright 2014 Splunk Inc. Search Op@miza@on in 500 easy steps Julian Harty SE, Splunk> Disclaimer During the course of this presenta@on, we may make forward looking statements regarding future events

More information

Revealing the Magic. The Lifecycle of a Splunk Search. Kellen Green Senior Software Engineer. September 27th, 2017 Washington, DC

Revealing the Magic. The Lifecycle of a Splunk Search. Kellen Green Senior Software Engineer. September 27th, 2017 Washington, DC Revealing the Magic The Lifecycle of a Splunk Search Kellen Green Senior Software Engineer September 27th, 2017 Washington, DC About Myself web developer 2017 SPLUNK INC. 1. Develop a deeper understanding

More information

@Pentaho #BigDataWebSeries

@Pentaho #BigDataWebSeries Enterprise Data Warehouse Optimization with Hadoop Big Data @Pentaho #BigDataWebSeries Your Hosts Today Dave Henry SVP Enterprise Solutions Davy Nys VP EMEA & APAC 2 Source/copyright: The Human Face of

More information

Splunk is a great tool for exploring your log data. It s very powerful, but

Splunk is a great tool for exploring your log data. It s very powerful, but Sysadmin David Lang David Lang is a site reliability engineer at Google. He spent more than a decade at Intuit working in the Security Department for the Banking Division. He was introduced to Linux in

More information

Using vrealize Log Insight

Using vrealize Log Insight vrealize Log Insight 4.3 This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition. To check for more recent editions

More information

SysAid Technical Presentation. Phone (Toll-Free US): Phone: +972 (3)

SysAid Technical Presentation.  Phone (Toll-Free US): Phone: +972 (3) SysAid Technical Presentation www.sysaid.com sales@sysaid.com Phone (Toll-Free US): 1-800-686-7047 Phone: +972 (3) 533-3675 SysAid Overview A Global ITSM Solution Provider Technology Built for You Customer-Driven

More information

Using vrealize Log Insight. 08-SEP-2017 vrealize Log Insight 4.5

Using vrealize Log Insight. 08-SEP-2017 vrealize Log Insight 4.5 08-SEP-2017 vrealize Log Insight 4.5 You can find the most up-to-date technical documentation on the VMware Web site at: https://docs.vmware.com/ The VMware Web site also provides the latest product updates.

More information

How to Scale: From _raw to tstats (and beyond!)

How to Scale: From _raw to tstats (and beyond!) Copyright 2016 Splunk Inc. How to Scale: From _raw to tstats (and beyond!) David Veuve Staff Security Strategist, Splunk Disclaimer During the course of this presentation, we may make forward looking statements

More information

Using vrealize Log Insight. April 12, 2018 vrealize Log Insight 4.6

Using vrealize Log Insight. April 12, 2018 vrealize Log Insight 4.6 Using vrealize Log Insight April 12, 2018 vrealize Log Insight 4.6 You can find the most up-to-date technical documentation on the VMware website at: https://docs.vmware.com/ If you have comments about

More information

IBM. PDF file of IBM Knowledge Center topics. IBM Operations Analytics for z Systems. Version 2 Release 2

IBM. PDF file of IBM Knowledge Center topics. IBM Operations Analytics for z Systems. Version 2 Release 2 IBM Operations Analytics for z Systems IBM PDF file of IBM Knowledge Center topics Version 2 Release 2 IBM Operations Analytics for z Systems IBM PDF file of IBM Knowledge Center topics Version 2 Release

More information

Metrics Analysis with the Splunk Platform

Metrics Analysis with the Splunk Platform Metrics Analysis with the Splunk Platform How to work with metrics for Monitoring, Alerting, and ad-hoc analysis at scale Michael Porath Product Management, Splunk Allan Yan Principal Software Engineer,

More information

Architecting Splunk For High Availability And Disaster Recovery

Architecting Splunk For High Availability And Disaster Recovery Architecting Splunk For High Availability And Disaster Recovery Sean Delaney Principal Architect, Splunk September 2017 Washington, DC Forward-Looking Statements During the course of this presentation,

More information

Cisco Tetration Analytics

Cisco Tetration Analytics Cisco Tetration Analytics Enhanced security and operations with real time analytics John Joo Tetration Business Unit Cisco Systems Security Challenges in Modern Data Centers Securing applications has become

More information

Essential (free) Tools for DBA!

Essential (free) Tools for DBA! Essential (free) Tools for DBA! Biju Thomas Principal Solutions Architect OneNeck IT Solutions www.oneneck.com @biju_thomas 2 About me! Biju Thomas Principal Solutions Architect with OneNeck IT Solutions

More information

JOB SCHEDULING CHECKLIST

JOB SCHEDULING CHECKLIST JOB SCHEDULING CHECKLIST MVP Systems Software / Phone: 1-800-261-5267 / Web: www.jamsscheduler.com 1 Using these Criteria The following is a detailed list of evaluation criteria that you can use to benchmark

More information

Tetration Hands-on Lab from Deployment to Operations Support

Tetration Hands-on Lab from Deployment to Operations Support LTRACI-2184 Tetration Hands-on Lab from Deployment to Operations Support Furong Gisiger, Solutions Architect Lawrence Zhu, Sr. Solutions Architect Cisco Spark How Questions? Use Cisco Spark to communicate

More information

A Trip Through The Splunk Data Ingestion And Retrieval Pipeline

A Trip Through The Splunk Data Ingestion And Retrieval Pipeline A Trip Through The Splunk Data Ingestion And Retrieval Pipeline Harold Murn Senior Systems Engineer 2017-09-27 Washington, DC Forward-Looking Statements During the course of this presentation, we may make

More information

Building a Scalable Recommender System with Apache Spark, Apache Kafka and Elasticsearch

Building a Scalable Recommender System with Apache Spark, Apache Kafka and Elasticsearch Nick Pentreath Nov / 14 / 16 Building a Scalable Recommender System with Apache Spark, Apache Kafka and Elasticsearch About @MLnick Principal Engineer, IBM Apache Spark PMC Focused on machine learning

More information

SPLUNK ENTERPRISE AND ECS TECHNICAL SOLUTION GUIDE

SPLUNK ENTERPRISE AND ECS TECHNICAL SOLUTION GUIDE SPLUNK ENTERPRISE AND ECS TECHNICAL SOLUTION GUIDE Splunk Frozen and Archive Buckets on ECS ABSTRACT This technical solution guide describes a solution for archiving Splunk frozen buckets to ECS. It also

More information

Using vrealize Log Insight. Update 1 Modified on 03 SEP 2017 vrealize Log Insight 4.0

Using vrealize Log Insight. Update 1 Modified on 03 SEP 2017 vrealize Log Insight 4.0 Using vrealize Log Insight Update 1 Modified on 03 SEP 2017 vrealize Log Insight 4.0 You can find the most up-to-date technical documentation on the VMware website at: https://docs.vmware.com/ If you have

More information

AWS Agility + Splunk Visibility = Cloud Success. Splunk App for AWS Demo. Laura Ripans, AWS Alliance Manager

AWS Agility + Splunk Visibility = Cloud Success. Splunk App for AWS Demo. Laura Ripans, AWS Alliance Manager AWS Agility + Splunk Visibility = Cloud Success Splunk App for AWS Demo Laura Ripans, AWS Alliance Manager Disruptive innovation and business transformation starts with data I HAVE BEEN GIVEN AN AWS ACCOUNT!!!

More information

Data-Driven Network Opera1ons. France-IX 2016 Avi Freedman

Data-Driven Network Opera1ons. France-IX 2016 Avi Freedman Data-Driven Network Opera1ons France-IX 2016 Avi Freedman Summary Why Data-Driven Network Opera1ons? The food: data types and sources Requirements and tool types Data Fusion Business-driven use cases:

More information

Using vrealize Log Insight

Using vrealize Log Insight vrealize Log Insight 4.0 This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition. To check for more recent editions

More information

Fields, Indexed Tokens, And You

Fields, Indexed Tokens, And You Fields, Indexed Tokens, And You Martin Müller Professional Services Consultant, Consist Software Solutions GmbH September 42 nd, 2017 Washington, DC Forward-Looking Statements During the course of this

More information

The Now Platform Reference Guide

The Now Platform Reference Guide The Now Platform Reference Guide A tour of key features and functionality START Introducing the Now Platform Digitize your business with intelligent apps The Now Platform is an application Platform-as-a-Service

More information

C. Collect engine heap performance data via the Cisco Unified Real-Time Monitoring Tool.

C. Collect engine heap performance data via the Cisco Unified Real-Time Monitoring Tool. Volume: 50 Questions Question No: 1 In a high availability over WAN deployment, which option cannot be located across the WAN from the active Cisco Unified Contact Center Express site? A. SMTP server B.

More information

Prepare. Model. Operationalize

Prepare. Model. Operationalize Prepare Model Operationalize Model Re-Code Validate Deploy How do we operationalize R? Turn R analytics Web services in one line of code; Swagger-based REST APIs, easy to consume, with any programming

More information

Cisco Tetration Analytics

Cisco Tetration Analytics Cisco Tetration Analytics Enhanced security and operations with real time analytics Christopher Say (CCIE RS SP) Consulting System Engineer csaychoh@cisco.com Challenges in operating a hybrid data center

More information

Integration Services. Creating an ETL Solution with SSIS. Module Overview. Introduction to ETL with SSIS Implementing Data Flow

Integration Services. Creating an ETL Solution with SSIS. Module Overview. Introduction to ETL with SSIS Implementing Data Flow Pipeline Integration Services Creating an ETL Solution with SSIS Module Overview Introduction to ETL with SSIS Implementing Data Flow Lesson 1: Introduction to ETL with SSIS What Is SSIS? SSIS Projects

More information

Search Engines and Time Series Databases

Search Engines and Time Series Databases Università degli Studi di Roma Tor Vergata Dipartimento di Ingegneria Civile e Ingegneria Informatica Search Engines and Time Series Databases Corso di Sistemi e Architetture per Big Data A.A. 2017/18

More information

Analyze Data in MongoDB with the Hunk App Asya Kamsky

Analyze Data in MongoDB with the Hunk App Asya Kamsky Copyright 2014 Splunk Inc. Analyze Data in MongoDB with the Hunk App Asya Kamsky Principle Developer Advocate, MongoDB Disclaimer During the course of this presentaion, we may make forward- looking statements

More information

BeoLink.org. Design and build an inexpensive DFS. Fabrizio Manfredi Furuholmen. FrOSCon August 2008

BeoLink.org. Design and build an inexpensive DFS. Fabrizio Manfredi Furuholmen. FrOSCon August 2008 Design and build an inexpensive DFS Fabrizio Manfredi Furuholmen FrOSCon August 2008 Agenda Overview Introduction Old way openafs New way Hadoop CEPH Conclusion Overview Why Distributed File system? Handle

More information

Using Splunk to Assess and Implement Critical Security Control #3

Using Splunk to Assess and Implement Critical Security Control #3 Using Splunk to Assess and Implement Critical Security Control #3 Disclaimer During the course of this presentation, we may make forward looking statements regarding future events or the expected performance

More information

Optimizing and Modeling SAP Business Analytics for SAP HANA. Iver van de Zand, Business Analytics

Optimizing and Modeling SAP Business Analytics for SAP HANA. Iver van de Zand, Business Analytics Optimizing and Modeling SAP Business Analytics for SAP HANA Iver van de Zand, Business Analytics Early data warehouse projects LIMITATIONS ISSUES RAISED Data driven by acquisition, not architecture Too

More information

Copyright 2014 Splunk Inc. Splunk for VMware. Architecture & Design. Michael Donnelly, Sr. Sales Engineer

Copyright 2014 Splunk Inc. Splunk for VMware. Architecture & Design. Michael Donnelly, Sr. Sales Engineer Copyright 2014 Splunk Inc. Splunk for VMware Architecture & Design Michael Donnelly, Sr. Sales Engineer Disclaimer During the course of this presentaeon, we may make forward looking statements regarding

More information

IntegraBng Splunk Data and FuncBonality Using the Splunk SDK for Java

IntegraBng Splunk Data and FuncBonality Using the Splunk SDK for Java Copyright 2013 Splunk Inc. IntegraBng Splunk Data and FuncBonality Using the Splunk SDK for Java Damien Dallimore Developer Evangelist @ Splunk #splunkconf Legal NoBces During the course of this presentabon,

More information

MarkLogic Technology Briefing

MarkLogic Technology Briefing MarkLogic Technology Briefing Edd Patterson CTO/VP Systems Engineering, Americas Slide 1 Agenda Introductions About MarkLogic MarkLogic Server Deep Dive Slide 2 MarkLogic Overview Company Highlights Headquartered

More information

Log Centralization for Security. CALUG March 11, 2009

Log Centralization for Security. CALUG March 11, 2009 A p l u r a, L L C 5 6 5 3 B l i t h a i r e G a r t h C o l u m b i a, M D, 2 1 0 4 5 3 0 1 5 2 3 2 1 1 0 ( w ) 4 1 0 8 6 4 8 3 8 6 ( f ) F o c u s e d I n f o r m a t i o n S e c u r i t y h t t p :

More information

Azure Certification BootCamp for Exam (Developer)

Azure Certification BootCamp for Exam (Developer) Azure Certification BootCamp for Exam 70-532 (Developer) Course Duration: 5 Days Course Authored by CloudThat Description Microsoft Azure is a cloud computing platform and infrastructure created for building,

More information

Troubleshooting AWS App

Troubleshooting AWS App Troubleshooting AWS App Workshop Splunk Add-on for AWS 4.3+ Kamilo Amir Splunk Cloud Architect Table of Contents TROUBLESHOOTING SPLUNK APP / ADD-ON FOR AWS 4 PERMISSIONS REVIEW 4 SEARCHES 5 VALIDATE HEC

More information

Increase Value from Big Data with Real-Time Data Integration and Streaming Analytics

Increase Value from Big Data with Real-Time Data Integration and Streaming Analytics Increase Value from Big Data with Real-Time Data Integration and Streaming Analytics Cy Erbay Senior Director Striim Executive Summary Striim is Uniquely Qualified to Solve the Challenges of Real-Time

More information

Table of Index Hadoop for Developers Hibernate: Using Hibernate For Java Database Access HP FlexNetwork Fundamentals, Rev. 14.21 HP Navigating the Journey to Cloud, Rev. 15.11 HP OneView 1.20 Rev.15.21

More information

Tanium Endpoint Detection and Response. (ISC)² East Bay Chapter Training Day July 13, 2018

Tanium Endpoint Detection and Response. (ISC)² East Bay Chapter Training Day July 13, 2018 Tanium Endpoint Detection and Response (ISC)² East Bay Chapter Training Day July 13, 2018 $> WhoamI 11 Years of Security Experience Multiple Verticals (Technology, Industrial, Healthcare, Biotech) 9 Years

More information

Think Small to Scale Big

Think Small to Scale Big Think Small to Scale Big Intro to Containers for the Datacenter Admin Pete Zerger Principal Program Manager, MVP pete.zerger@cireson.com Cireson Lee Berg Blog, e-mail address, title Company Pete Zerger

More information

Lecture 7 (03/12, 03/14): Hive and Impala Decisions, Operations & Information Technologies Robert H. Smith School of Business Spring, 2018

Lecture 7 (03/12, 03/14): Hive and Impala Decisions, Operations & Information Technologies Robert H. Smith School of Business Spring, 2018 Lecture 7 (03/12, 03/14): Hive and Impala Decisions, Operations & Information Technologies Robert H. Smith School of Business Spring, 2018 K. Zhang (pic source: mapr.com/blog) Copyright BUDT 2016 758 Where

More information

Best practices for building a Hadoop Data Lake Solution CHARLOTTE HADOOP USER GROUP

Best practices for building a Hadoop Data Lake Solution CHARLOTTE HADOOP USER GROUP Best practices for building a Hadoop Data Lake Solution CHARLOTTE HADOOP USER GROUP 07.29.2015 LANDING STAGING DW Let s start with something basic Is Data Lake a new concept? What is the closest we can

More information

BigTable: A Distributed Storage System for Structured Data (2006) Slides adapted by Tyler Davis

BigTable: A Distributed Storage System for Structured Data (2006) Slides adapted by Tyler Davis BigTable: A Distributed Storage System for Structured Data (2006) Slides adapted by Tyler Davis Motivation Lots of (semi-)structured data at Google URLs: Contents, crawl metadata, links, anchors, pagerank,

More information

Using vrealize Log Insight

Using vrealize Log Insight vrealize Log Insight 3.6 This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition. To check for more recent editions

More information

ETL Best Practices and Techniques. Marc Beacom, Managing Partner, Datalere

ETL Best Practices and Techniques. Marc Beacom, Managing Partner, Datalere ETL Best Practices and Techniques Marc Beacom, Managing Partner, Datalere Thank you Sponsors Experience 10 years DW/BI Consultant 20 Years overall experience Marc Beacom Managing Partner, Datalere Current

More information

Lab 3. On-Premises Deployments (Optional)

Lab 3. On-Premises Deployments (Optional) Lab 3 On-Premises Deployments (Optional) Overview This Lab is considered optional to the completion of the API-Led Connectivity Workshop. Using Runtime Manager, you can register and set up the properties

More information

Copy Data From One Schema To Another In Sql Developer

Copy Data From One Schema To Another In Sql Developer Copy Data From One Schema To Another In Sql Developer The easiest way to copy an entire Oracle table (structure, contents, indexes, to copy a table from one schema to another, or from one database to another,.

More information

Splunking Your z/os Mainframe Introducing Syncsort Ironstream

Splunking Your z/os Mainframe Introducing Syncsort Ironstream Copyright 2016 Splunk Inc. Splunking Your z/os Mainframe Introducing Syncsort Ironstream Ed Hallock Director of Product Management, Syncsort Inc. Disclaimer During the course of this presentation, we may

More information

Topic 1, Volume A QUESTION NO: 1 In your ETL application design you have found several areas of common processing requirements in the mapping specific

Topic 1, Volume A QUESTION NO: 1 In your ETL application design you have found several areas of common processing requirements in the mapping specific Vendor: IBM Exam Code: C2090-303 Exam Name: IBM InfoSphere DataStage v9.1 Version: Demo Topic 1, Volume A QUESTION NO: 1 In your ETL application design you have found several areas of common processing

More information

Zumobi Brand Integration(Zbi) Platform Architecture Whitepaper Table of Contents

Zumobi Brand Integration(Zbi) Platform Architecture Whitepaper Table of Contents Zumobi Brand Integration(Zbi) Platform Architecture Whitepaper Table of Contents Introduction... 2 High-Level Platform Architecture Diagram... 3 Zbi Production Environment... 4 Zbi Publishing Engine...

More information

Vlad Vinogradsky

Vlad Vinogradsky Vlad Vinogradsky vladvino@microsoft.com http://twitter.com/vladvino Commercially available cloud platform offering Billing starts on 02/01/2010 A set of cloud computing services Services can be used together

More information

Monitoring Docker Containers with Splunk

Monitoring Docker Containers with Splunk Monitoring Docker Containers with Splunk Marc Chéné Product Manager Sept 27, 2017 Washington, DC Forward-Looking Statements During the course of this presentation, we may make forward-looking statements

More information

Security Information Event Management { IT Search } Pongsawat Payungwong CISSP,MCSE,ACSA Business Development Manager Sysware(Thailand) Co., Ltd.

Security Information Event Management { IT Search } Pongsawat Payungwong CISSP,MCSE,ACSA Business Development Manager Sysware(Thailand) Co., Ltd. Security Information Event Management { IT Search } Pongsawat Payungwong CISSP,MCSE,ACSA Business Development Manager Sysware(Thailand) Co., Ltd. IT Search Company About Me ประสบการณ (ท เก ยวข อง) - ร

More information

PSOACI Tetration Overview. Mike Herbert

PSOACI Tetration Overview. Mike Herbert Tetration Overview Mike Herbert Cisco Spark How Questions? Use Cisco Spark to communicate with the speaker after the session 1. Find this session in the Cisco Live Mobile App 2. Click Join the Discussion

More information

Big Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara

Big Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara Big Data Technology Ecosystem Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara Agenda End-to-End Data Delivery Platform Ecosystem of Data Technologies Mapping an End-to-End Solution Case

More information

F5 Analytics and Visibility Solutions

F5 Analytics and Visibility Solutions Agility 2017 Hands-on Lab Guide F5 Analytics and Visibility Solutions F5 Networks, Inc. 2 Contents: 1 Class 1: Introduction to F5 Analytics 5 1.1 Lab Environment Setup.......................................

More information

Informatica Data Quality Upgrade. Marlene Simon, Practice Manager IPS Data Quality Vertical Informatica

Informatica Data Quality Upgrade. Marlene Simon, Practice Manager IPS Data Quality Vertical Informatica Informatica Data Quality Upgrade Marlene Simon, Practice Manager IPS Data Quality Vertical Informatica 2 Biography Marlene Simon Practice Manager IPS Data Quality Vertical Based in Colorado 5+ years with

More information

McAfee SIEM Port Usage by Appliance

McAfee SIEM Port Usage by Appliance McAfee SIEM Port Usage by Appliance Application Direction Port(s) Protocol Destination / Description ETM Enterprise Security Manager Active Directory out 389, 3268 tcp Active Directory. Port 3268 is used

More information

ForeScout App for Splunk

ForeScout App for Splunk How-to Guide Version 2.0.0 Table of Contents About Splunk Integration... 3 Use Cases... 3 Data Mining and Trend Analysis of CounterACT Data... 4 Continuous Posture Tracking Based on a Broad Range of CounterACT

More information

Real-time Monitoring, Inventory and Change Tracking for. Track. Report. RESOLVE!

Real-time Monitoring, Inventory and Change Tracking for. Track. Report. RESOLVE! Real-time Monitoring, Inventory and Change Tracking for Track. Report. RESOLVE! Powerful Monitoring Tool for Full Visibility over Your Hyper-V Environment VirtualMetric provides the most comprehensive

More information

1 Dulcian, Inc., 2001 All rights reserved. Oracle9i Data Warehouse Review. Agenda

1 Dulcian, Inc., 2001 All rights reserved. Oracle9i Data Warehouse Review. Agenda Agenda Oracle9i Warehouse Review Dulcian, Inc. Oracle9i Server OLAP Server Analytical SQL Mining ETL Infrastructure 9i Warehouse Builder Oracle 9i Server Overview E-Business Intelligence Platform 9i Server:

More information

A Examcollection.Premium.Exam.47q

A Examcollection.Premium.Exam.47q A2090-303.Examcollection.Premium.Exam.47q Number: A2090-303 Passing Score: 800 Time Limit: 120 min File Version: 32.7 http://www.gratisexam.com/ Exam Code: A2090-303 Exam Name: Assessment: IBM InfoSphere

More information

Copyright 2012, Oracle and/or its affiliates. All rights reserved.

Copyright 2012, Oracle and/or its affiliates. All rights reserved. 1 ! 2 Oracle VM Introduction Adam Hawley, Senior Director Virtualization, Oracle January 15, 2013 Safe Harbor Statement The following is intended to outline our general product direction. It is intended

More information

Fluentd + MongoDB + Spark = Awesome Sauce

Fluentd + MongoDB + Spark = Awesome Sauce Fluentd + MongoDB + Spark = Awesome Sauce Nishant Sahay, Sr. Architect, Wipro Limited Bhavani Ananth, Tech Manager, Wipro Limited Your company logo here Wipro Open Source Practice: Vision & Mission Vision

More information