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Version: Atlas v4.0

Atlas Use Case

What is Atlas?

Atlas is powerful platform that has been specifically designed to help Splunk users get real value out of their investment. We named the product Atlas because, like an Atlas you would use to plan a successful road trip, you can use the Atlas platform to guide you to success with Splunk. By using Atlas, Splunk users are empowered to solve and maintain common issues that most people encounter on their journey with Splunk. The problems Splunk users typically face fall into three primary categories which include system performance, management of data, and achieving meaningful adoption of the Splunk platform. Atlas is designed to help address all those challenges by providing its users with a standard set of solutions aimed at standardizing and simplifying resolutions to these common problems.

Atlas Expertise on Demand

Sometimes when navigating the complexities of Splunk you need immediate access to experts who can support you when you need the help. Whether it's navigating complex data management challenges, optimizing system performance, or fostering widespread adoption within an organization, Atlas Expertise on Demand (EOD) provides its customers with a direct line to seasoned experts. These professionals not only understand the intricacies of Splunk but are also your guides to tailoring Atlas to meet the unique needs of each customer.

Atlas Use Case and Outcomes

The following Atlas Use Case are described in greater detail in the individual sections which include the steps used to produce the desired outcomes in Splunk using Atlas:

Search Performance Use Case

  1. Identify and Remediate Scheduled Searches with High Skip Ratios
  2. Identify and Remediate High Frequency Scheduled Searches
  3. Identify and Remediate Scheduled Searches with High Latency

Data Governance Use Case

  1. Assigning Ownership to Data Feeds and Populating the Data Inventory
  2. Reporting on Splunk Data Ingest by Data Owner or Business Unit
  3. Investigate Data Sources Consuming Excessive License
  4. Correlating Data Utilization to License Utilization
  5. Identifying Underutilized Splunk Data Sources
  6. Identifying the Methods of Data Utilization for Each Dataset

Data Source Integrity Use Case

  1. Applying Logical Groupings to Splunk Forwarders for Health Monitoring
  2. Identifying Missing Forwarders and Investigating Impact
  3. Data Ingest Monitoring

License Utilization Use Case

  1. Identifying Underutilized Indexes
  2. Identifying Underutilized Index Source Type Data Sets

System Performance Use Case

  1. Identify Performance Issues in a Splunk Environment
  2. Find Version Drift of Splunk Apps in your Clustered Environment
  3. Identify and Remediate High Impact Searches

Enterprise Security Expansion Use Case

  1. Identify Common Information Model Improvements to Enhance ES
  2. Ensure Correlation Searches are Executing

STIG Compliance Use Case

  1. Investigate STIG Compliance Status
  2. Report on Compliance Data
  3. STIG Checklist Ingest Monitoring