Solsys, through its Solsyslabs R&D Group, has developed an API CIM (Common Information Model) data model for Splunk, which we wanted to donate to the Splunk Community. Many organizations leverage APIs to collect, standardize, and analyze data across various systems as API's become the digital economy.
Use Case Example:
Imagine managing a cloud platform with multiple authentication, billing, and user management APIs flowing through an API Gateway. An API CIM data model can unify these disparate data streams, allowing for a centralized view of user activity, API performance, and potential security threats in Splunk.
What are the benefits of implementing an API CIM model?
- Data Standardization: Normalizes diverse API data formats (JSON, XML) into a consistent schema for seamless integration.
- Simplified Analysis: Enables easier correlation and search with pre-defined field mappings across multiple APIs.
- Enhanced Security: Detects anomalies, strengthens incident response and supports compliance reporting (e.g., GDPR, HIPAA).
- Automation & Scalability: Streamlines parsing, reduces manual effort, and scales efficiently with growing API ecosystems.
- Faster Deployment: Reusable field extractions and dashboards reduce complexity and accelerate development.
- Better Reporting: Uniform dashboards provide more precise, actionable insights from API data.
Want to see a Splunk Cloud demonstation implementing this API CIM?
Our Solsys Labs Engineers would be excited to show you. ServiceInsight
