Modern MQ teams are awash in metrics, but not all data is equally useful. At TechXchange 2025, Peter delivered a session focused on what to collect—and how to use it—to establish defensible IBM MQ performance baselines and to spot anomalies that may signal security issues or application misbehavior.

Whether you attended the session or not, this online presentation follows up on that with a deeper look at how to build, validate, and apply MQ baselines in live environments. Peter will expand on the “80/20” metrics that matter most—queue depth, throughput, latency, channel status, and error rates—and how to correlate them with resource utilization trends for a more complete picture of MQ health.

He’ll also explore how to:

• Use statistical measures (mean, standard deviation, percentiles) instead of static thresholds to define what “normal” really means
• Work with business units to model new applications and define threshold expectations early—before rollout surprises happen
• Detect patterns that reveal not only system issues but also potential application or partner integration errors before they affect users

Real-world scenarios will illustrate how mismatched assumptions between MQ admins and business units can lead to alert fatigue and missed anomalies—and how to use feedback monitoring to bridge that gap.

If you’re responsible for MQ performance, reliability, or integration health, this is your chance to learn how to create baselines that work in practice—not just on paper—and how to adapt them as your business evolves.

Don’t miss out. Register now.