De applicaties, servers en netwerk devices genereren continu waardevolle data die belangrijk zijn voor IT en de business. Het gebruiken van de data blijkt in de praktijk echter lastig te zijn en veel tijd te kosten. Aan de hand van inspirerende praktijkvoorbeelden zal de spreker uitleggen wat de mogelijkheden zijn.

1. Michiel.Toes@smtware.com
The Age of Software Defined Business

2. Passie
Kwaliteit
Continuïteit
Toegevoegde waarde
SMT

3. YESTERDAYTODAY
BANK
The Age of Software Defined Business

4. Login
Saldo
Overmaken
Aandelen
Mobile
Big data
SOA
NOSQL
Cloud
Agile
Web

5. Challenge

6. Listen to your data

7. Harnessing
Machine
Data
Requires
a
New
Approach
7

8. 2013-08-09 16:21:38 10.11.36.29 98483 148 TCP_HIT 200 200 0 622 - - OBSERVED GET
www.neverbeenseenbefore.com HTTP/1.1 0 "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1;
SV1; .NET CLR 2.0.50727; InfoPath.1; MS-RTC LM 8; .NET CLR 1.1.4322; .NET CLR 3.0.4506.2152; )
User John Doe,"
08/09/2013 16:23:51.0128event_status="(0)The operation completed successfully. "pid=1300
process_image="John DoeDeviceHarddiskVolume1WindowsSystem32neverseenbefore.exe“
registry_type ="CreateKey"key_path="REGISTRYMACHINESOFTWAREMicrosoftWindows NT
CurrentVersion Printers PrintProviders John Doe-PCPrinters{} NeverSeenbefore" data_type""
2013-08-09T12:40:25.475Z,,exch-hub-den-01,,exch-mbx-cup-00,,,STOREDRIVER,DELIVER,
79426,<20130809050115.18154.11234@acme.com>,johndoe@acme.com,,685191,1,,,
hacker@neverseenbefore.com , Please open this attachment with payroll information,, ,
2013-08-09T22:40:24.975Z
8
Sources
Time Range
Endpoint
Logs
Web Proxy
Email Server
All three occurring within a 24-hour period
User Name
User Name
Rarely seen email domain
Rarely visited web site
User Name
Rarely seen service
Machine
Data
is
a
Gold
Mine
for
Opera=onal
Intelligence

9. Big Data requirements
Accessible, Usable, Valuable
Common Uses and Maturity Solution AreasAny log files
Custom applications
Web servers
User clickstreams
Social platforms
Servers/Hypervisors/
Virtual Machines
Configs
Structured,
Un-Structured
Semi-Structured
Telecoms devices
Storage devices
Network devices
Security devices,
Firewalls, IDS
Databases
Web Services
System metrics
GPS
DNS, DHCP
AAA Logs
Proxy servers
Scripts
Sensors
New Approach
ReactiveSearch + Investigate
ProactiveProactive Monitoring
ValueBusiness Insights
DEVELOPER
FRAMEWORK
Big Data Platform
Fast Time to Value
Secure & open platform
Agile Reporting and Analytics
Scales from Desktop to Enterprise
Universal Machine Data
Real Time Architecture
Schema on the Fly
ServiceOperational Visibility
ê MTTR or MTTI
ê Escalations
é Uptime
é KPI’s, SLAs, QoE
Real Time Business Vision
é Value
IT Operations Management
Application Management
Security & Compliance
Business Analytics
Internet of Things
Web Intelligence
Connectors Database
Limits Silos

10. First
anomaly
The
anomalies
starts to
spread
Customers can't
reach the
system!
The systems are
back
CRASH
IT-monitoring
detection
Anomaly Detection – Data Scientist in the box

11. Bezoek ons bij stand #5 voor een live demo