Operationalized Productivity: Scaling and Governing the AI-DLC with Amazon Q and Opsera

Rapid adoption of Amazon Q Developer is driving unprecedented developer velocity, but organizations must address scalability and governance risks to ensure lasting success in the modern heterogeneous enterprise. How can leaders empower developers with AI without amplifying operational friction and creating unexpected risk?

Join experts from Opsera and AWS for a deep dive into building a secure, governed AI-Driven Lifecycle (AI-DLC). We will demonstrate how Amazon Q AI agents solve risk and scalability challenges, and how the Opsera Unified DevOps Platform and Unified Insights enable organizations to govern and scale AI adoption while understanding impacts throughout the entire organization.

What We’ll Cover:

• Autonomous Agents and Remediation: Leveraging autonomous agents in scalable automated processes to find and fix vulnerabilities and quality risks before they reach production.
• Measuring AI ROI & Compliance: Using Opsera’s Amazon Q Insights Dashboard to track adoption, acceptance rates, and DORA metrics in the context of the business.
• Auditability at Scale: Maintaining a clear audit trail of provenance and AI-assisted changes to meet compliance standards such as SOC2, HIPAA, and PCI.

Who Should Attend

• CTOs and VPs of Engineering
• Directors of DevOps and Platform Engineering
• Engineering Managers focused on operational excellence
• Technical Leaders looking to align delivery with business strategy

Speakers

Austin Butler

GenAI GTM Specialist

AWS

Sowmia Lakshmi Ranganathan

Technical Product Manager

Opsera

Aruna Pattabiraman

Principal Data Architect

Opsera