SplunkLive! Zurich
Sebastian Schoer | Senior IT & Business Consultant
08/05/2018
MARVES GmbH
Agenda
▶ Who am I? Operational Area and Responsibility
▶ ITSI project
▶ Data Analyzing, Processing and Visualization
▶ Screenshots
▶ Next Steps
Operational Area and Responsibility
▶ Banking Trainee
▶ Economics and Information Technology
▶ IT and Business Consultant
▶ Portfolio Management Application (TripleA)
▶ Financial Reporting and Trading
▶ Rescuing Shelter Dogs and Cats in Romania
Pre-Project Tasks
▶ Key Challenges:
▶ Who defines the KPI and what exactly is it?
▶ How to define a Service that should be visualized?
▶ Do I know the Application that I am working with?
▶ What kind of Data do we need to get started?
▶ Challenging aspect of a complex System Architecture…
▶ Is there any Documentation about –
▶ Modifications
▶ Interfaces
▶ Feeds
▶ Etc?
What? How to
visualize?
KYA – Know
Your Application
Architecture API
Changes
Pre-Project Tasks
Challenges
KPI Service Data Docu
Pre-Project Tasks
DATA SOURCES
Export ExportExport
LOGICAL PROCESSING
VISUALIZATION
Landing Page
8
User Stories
Job-Controlling for Daily
Processing (Job Abort)
Financial Server Downtime
Ordering Services Downtime
9
Ordering Service Downtime
• Order services are at the core of a Private Bank’s
business. Portfolio and relationship managers must
place orders for clients for different securities
• We built the whole ordering process in Splunk ITSI
to get full visibility over the process
• Now, when something is down we can see exactly
what is causing the problem in the whole chain
• Previously issues went directly through to our IT
Helpdesk, whereas now we are already aware of the
issue
10
Ordering Service Downtime dashboards
11
Financial Server Downtime
• We have 120 financial servers running
different functions in the portfolio management
team
• Previously when a financial server went down,
we had to call level 2 support to monitor it with
another application
• We began monitoring each server through ITSI
and are now able to tell level 2 support where
the problem is
• This streamlined the process and has reduced
downtime from minutes to seconds
12
Financial Server Downtime dashboards
13
Job-Controlling for Daily Processing
• We use a tool called UC4 across the business
to automate processes overnight when no one
is working
• We built the most important processes into a
glass table that gave us full visibility over their
functions
• We can now review clearly what happened
overnight, what worked, what didn’t work and
what didn’t hit its SLA
• This ensures that our resources are being used
more efficiently and we don’t have issues at
7am every morning
14
Job-Controlling for Daily Processing dashboards
© 2018 SPLUNK INC.
▶Integrating new Applications
▶Defining new Services
▶Overall Roll-Out Monitoring
▶Integration of other Monitoring Tools
(DynaTrace, Tmart)
Next steps
THANK YOU

SplunkLive! Zurich 2018: MARVES GmbH

  • 1.
    SplunkLive! Zurich Sebastian Schoer| Senior IT & Business Consultant 08/05/2018 MARVES GmbH
  • 2.
    Agenda ▶ Who amI? Operational Area and Responsibility ▶ ITSI project ▶ Data Analyzing, Processing and Visualization ▶ Screenshots ▶ Next Steps
  • 3.
    Operational Area andResponsibility ▶ Banking Trainee ▶ Economics and Information Technology ▶ IT and Business Consultant ▶ Portfolio Management Application (TripleA) ▶ Financial Reporting and Trading ▶ Rescuing Shelter Dogs and Cats in Romania
  • 4.
    Pre-Project Tasks ▶ KeyChallenges: ▶ Who defines the KPI and what exactly is it? ▶ How to define a Service that should be visualized? ▶ Do I know the Application that I am working with? ▶ What kind of Data do we need to get started? ▶ Challenging aspect of a complex System Architecture… ▶ Is there any Documentation about – ▶ Modifications ▶ Interfaces ▶ Feeds ▶ Etc?
  • 5.
    What? How to visualize? KYA– Know Your Application Architecture API Changes Pre-Project Tasks Challenges KPI Service Data Docu
  • 6.
    Pre-Project Tasks DATA SOURCES ExportExportExport LOGICAL PROCESSING VISUALIZATION
  • 7.
  • 8.
    8 User Stories Job-Controlling forDaily Processing (Job Abort) Financial Server Downtime Ordering Services Downtime
  • 9.
    9 Ordering Service Downtime •Order services are at the core of a Private Bank’s business. Portfolio and relationship managers must place orders for clients for different securities • We built the whole ordering process in Splunk ITSI to get full visibility over the process • Now, when something is down we can see exactly what is causing the problem in the whole chain • Previously issues went directly through to our IT Helpdesk, whereas now we are already aware of the issue
  • 10.
  • 11.
    11 Financial Server Downtime •We have 120 financial servers running different functions in the portfolio management team • Previously when a financial server went down, we had to call level 2 support to monitor it with another application • We began monitoring each server through ITSI and are now able to tell level 2 support where the problem is • This streamlined the process and has reduced downtime from minutes to seconds
  • 12.
  • 13.
    13 Job-Controlling for DailyProcessing • We use a tool called UC4 across the business to automate processes overnight when no one is working • We built the most important processes into a glass table that gave us full visibility over their functions • We can now review clearly what happened overnight, what worked, what didn’t work and what didn’t hit its SLA • This ensures that our resources are being used more efficiently and we don’t have issues at 7am every morning
  • 14.
    14 Job-Controlling for DailyProcessing dashboards
  • 15.
    © 2018 SPLUNKINC. ▶Integrating new Applications ▶Defining new Services ▶Overall Roll-Out Monitoring ▶Integration of other Monitoring Tools (DynaTrace, Tmart) Next steps
  • 16.