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3 Tips for Evaluating
Ironstream for Splunk
Presented by:
John de Saint Phalle
1
Does it do
the job?
Do you have
the skills you
need?
How does it
compare to
alternatives?
What to
consider
when
evaluating
Ironstream
for Splunk
2
How do you
justify &
secure budget?
3
Skills
• Who typically uses Ironstream?
• How do we get access to the mainframe and IBM i
data?
• How do we know what the mainframe and IBM i
data types mean?
• How do we work with this data once we have it?
What skills do we really need?
4
Alternate Approaches
• IBM mainframe and IBM i support
• Breadth of supported data types
• Flexible data load options
• Integration with Splunk
• Direct, real-time connection for mainframe data
• Integration with Splunk ES and ITSI apps
• Performance and scalability
• Library of customizable dashboards
• Ease of use
Are there other ways to get this data into Splunk,
and why would Ironstream be a better choice?
5
Securing Budget
• What are your current Splunk use cases, and what is the
value you see for other data platforms?
• Determine the risk of siloed views – particularly for security
– and the impact on detection and response time.
• Regulatory compliance. Where could you be exposed
during an enterprise-wide audit?
• Higher operational efficiency. Calculate the cost of
disparate tools for different platforms and the cost of
manually correlating this data for a complete view.
• Consider the most beneficial pricing model for your
organization – data volume or capacity-based.
• How quickly can you be fully productive with the solution
you choose – how quickly will you realize value?
How do I justify, and get support for, investing in
Ironstream?
3 Tips for Evaluating Ironstream for Splunk

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3 Tips for Evaluating Ironstream for Splunk

  • 1. 3 Tips for Evaluating Ironstream for Splunk Presented by: John de Saint Phalle 1
  • 2. Does it do the job? Do you have the skills you need? How does it compare to alternatives? What to consider when evaluating Ironstream for Splunk 2 How do you justify & secure budget?
  • 3. 3 Skills • Who typically uses Ironstream? • How do we get access to the mainframe and IBM i data? • How do we know what the mainframe and IBM i data types mean? • How do we work with this data once we have it? What skills do we really need?
  • 4. 4 Alternate Approaches • IBM mainframe and IBM i support • Breadth of supported data types • Flexible data load options • Integration with Splunk • Direct, real-time connection for mainframe data • Integration with Splunk ES and ITSI apps • Performance and scalability • Library of customizable dashboards • Ease of use Are there other ways to get this data into Splunk, and why would Ironstream be a better choice?
  • 5. 5 Securing Budget • What are your current Splunk use cases, and what is the value you see for other data platforms? • Determine the risk of siloed views – particularly for security – and the impact on detection and response time. • Regulatory compliance. Where could you be exposed during an enterprise-wide audit? • Higher operational efficiency. Calculate the cost of disparate tools for different platforms and the cost of manually correlating this data for a complete view. • Consider the most beneficial pricing model for your organization – data volume or capacity-based. • How quickly can you be fully productive with the solution you choose – how quickly will you realize value? How do I justify, and get support for, investing in Ironstream?