SHARE Webcasts are year-round opportunities to dive into the latest hot topics and learn from experts in the industry. SHARE Webcasts are available to both members and non-members. View upcoming webcasts below.
Description:
Recently presented at SHARE Pittsburgh 2026! Some performance recommendations are clear-cut. The ones that aren't are the “fun” ones! Should you set WLM goals aggressively or leave room? Are percentile response time goals always preferred over average goals? Should you include zIIPs and GP CPU together when calculating certain measures? What zIIP or GP utilization is “too high”? Reasonable people disagree on such questions, and the right answer often depends on your workload, your shop, and possibly which “performance camp” you belong to. Scott Chapman and Peter Enrico are back with a fresh set of performance controversies for 2026. They'll stake out positions, which may not always match each other or other experts in the field. Some pet peeves may be aired. Don't expect tidy answers — but do expect to leave with a sharper view of the tradeoffs and a clearer sense of where you stand.
Register Now!
When downtime costs millions and cyber threats are constant, storage resilience is critical. Join Laura Tuller and Ritchie Blount to learn how Hitachi Vantara’s VSP One helps organizations protect and modernize mission-critical IBM Z environments without sacrificing performance or reliability. Explore a unified storage platform with scale-up and scale-out capabilities, deep IBM Z integration, and common management across mainframe and open systems. What You’ll Learn:
Modern business transactions rarely stay within a single system — they span APIs, middleware, cloud services, and IBM Z. As a result, traditional monitoring is no longer sufficient to quickly identify the root cause of performance or availability issues. This webinar demonstrates how to move from isolated monitoring to true end-to-end observability for IBM Z by leveraging modern observability technologies and the latest capabilities of Mainframe.