SMF data has the potential to provide great insights into the operation of components across the z/OS platform, but infrastructure teams face many challenges seeking to maximize the value they derive from that data so that they can deliver high levels of availability and performance. One key challenge is reporting software that is unique to each technology and challenging to learn. As a result, only the technical experts in each area are proficient in using their siloed tooling and interpreting their data. This creates significant barriers to collaboration and cross-team problem solving and learning.

This webinar will explore how SMF data analysis becomes far more effective when a common, intuitive interface provides integrated visibility into the many types of SMF data produced by components across the z/OS platform. Many real-life scenarios will be presented where findings provided by multiple data types combine to create actionable insights not available or apparent from individual data sources.

        
    
        


    

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