Orchestrating Resilience: Navigating the Intersection of Cloud-Native Scale and AI Velocity

As AI accelerates software delivery, can your operations keep pace?

Cloud-native architectures and AI-powered code generation are fundamentally changing the speed and scale of software development. Organizations are shipping more code, more frequently, across increasingly complex and ephemeral environments. While this velocity unlocks innovation, it also creates new operational challenges that traditional approaches were never designed to handle. 

Today's incident investigations often rely on handful of experienced engineers who carry critical operational knowledge in their hands. As system complexity grows, manual troubleshooting becomes slower, more disruptive and increasingly difficult to scale. At the same time, the explosion of telemetry data needed to monitor these environments is driving observability costs upward, forcing teams into difficult trade-offs between visibility and budget.

Join an exclusive virtual roundtable of engineeing leaders, SRE practitioners, platform architects, and observability experts as we explore how organizations can build resilience in an era defined by cloud-native scale and AI velocity.

Discussion Topics

1. Defining the Non-Negotiables of Agentic AI 

What must exist before AI can evolve from a simple triage assistant into a trusted autonomous investigator?

We'll discuss the architecture foundations required for operational AI, including transparent reasoning paths that allow engineers to understand, audit and trust AI-drive investigations. Learn how explainability becomes a prerequisite for scaling automation across critical production environments.

2. Encoding Expert Logic at Scale

As deployment frequency increases, how can organizations preserve operational excellence when key experts aren't available?

Explore strategies for capturing and operationalizing institutional knowledge so that investigative workflows, decision-making patterns, and remediation expertise become embedded within the platform rather than residing with individual engineers.

3. Precision Telemetry Economics

The future of observability isn't collecting less data - it's collecting smarter data.

Discover how leading organizations are moving beyond blunt cost-cutting measures toward field-level telemetry controls that eliminate high-volume noise while preserving the high-value signals required for effective root-cause analysis and incident response.

4. The Future of SRE Organizations

What happens when platforms begin handling the cognitive burden of investigation and enforcing data priorities automatically?

We'll examine how Site Reliability Engineering, Platform Engineering and Operations teams are evolving as AI-driven systems take on greater responsibility for analysis, decision support, and operational execution.

Reserve Your Seat

Join industry peers for a candid discussion on the future of resilience, observability and AI-powered operations.

Register today to secure your place on this exclusion virtual roundtable.