SMF Explorer with Python
- Description:
- z/OS® has a rich collection of SMF records that can be
automatically generated from the operating system regarding many details about your installation and
the activities of your z/OS systems. With z/OS 3.1, IBM® delivers an SMF data
access and analysis package leveraging Python. This enables applying data science and AI against SMF
data. The SMF Explorer with Python is designed to help you access SMF data simply by using z/OS Data Gatherer REST API services. It is focused on helping
you extract insights, leveraging state-of-the-art and data science-relevant technologies like Python
and Jupyter Notebooks. This capability helps to strengthen the IBM focus on using data and AI to extract valuable insights.SMF Explorer with Python is designed to help novice system administrators, IT operators, and new users such as data scientists and data engineers to:
- Get easy access to SMF data
- Better understand and interpret this data
- Leverage Python to apply data exploration and visualize data
- Use AI methods to extract insights that go beyond traditional analytics tools
You do not need deep z/OS skills to access and process the data. To optimize the user experience, Jupyter Notebook tutorials are available to guide you on how to fetch, process, and visualize SMF raw data to enable graphical analysis.
SMF Explorer with Python uses z/OS Data Gatherer REST API services as a starting point of z/OS monitoring integration and enables you to develop, implement, and use machine learning and AI solutions for continuous systems monitoring and anomaly detection.
- When change was introduced:
-
- z/OS 3.1
- z/OS 2.5 with APAR
- Reference information:
- IBM SMF Explorer