zAdviser uses machine learning to find correlations between developer behaviors and key performance indicators (KPIs) based on DevOps data and Compuware product usage data.
zAdviser captures a broad range of metrics to help teams improve quality, velocity and efficiency—including usage of specific Compuware tools and tool functions, source code management (SCM) KPIs and diverse DevOps performance parameters across teams, individual users and applications.
Teams can use this intelligence to pinpoint trends and patterns that may be helping or hindering their mainframe software delivery.
Quick-guide to Leveraging zAdviser
Step 1 – Request a zAdviser Analysis
Contact Compuware and request to see your Compuware mainframe tools, third-party solutions such as Atlassian Jira and ServiceNow, as well as your SCM system data in zAdviser. For customers who are already sending product usage data to Compuware, or have in the past, you may request to have this data loaded into zAdviser for analysis.
Step 2 – Send your Data Securely
Transfer your data into zAdviser in one of three ways:
- Seamlessly and securely stream your inputs into Amazon Web Services (AWS). With encryption in transit and at rest, you can continuously deliver your measurements to zAdviser for processing and analysis knowing your data is secure.
- Leverage the Jenkins zAdviser plugin to extract, optionally mask user IDs, and then send your data via SFTP
- Alternatively, you can periodically extract the usage data and FTP or SFTP it to zAdviser