
Stop reacting. Start predicting performance. Thursday, June 4 11 AM ET/ 5 PM CET/ 4 PM BST

Patrick Wolf

Siva Prasanna Vanapalli
Performance testing is getting harder, and not because teams are doing less, but because systems are doing more.
Traditional approaches were designed for simpler architectures, slower release cycles, and predictable environments.
Today, you’re working across distributed systems, interconnected applications, and rising expectations for speed and resilience. And when performance testing can’t keep up, issues surface late, when they’re harder and more expensive to fix.
In this session, we’ll explore how performance testing is evolving and what a more intelligent, lifecycle-driven approach looks like in practice.
Join this webinar to explore how performance testing is evolving for modern enterprise environments:
Why traditional performance testing struggles in complex, modern application landscapes
How modern architectures introduce new challenges for scalability, visibility, and coverage
How AI-guided, lifecycle-based approaches help you identify risks earlier and validate performance continuously
What it takes to move from one-off testing events to ongoing performance assurance
You’re under pressure to release faster without compromising reliability or user experience, but when performance testing falls behind modern development and infrastructure complexity, confidence in release readiness starts to slip.
Performance is no longer just a technical checkpoint. It is a business requirement that directly impacts customer satisfaction, operational resilience, and digital trust.
As enterprises modernize, they need approaches that make performance assurance more scalable, proactive, and aligned to the full software lifecycle.
Can’t attend live? Register to get the on-demand recording.
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