Learn how to evaluate and optimize the impact of AI-assisted software development with Gemini Code Assist. This session covers processes for measuring AI-assistance effectiveness, exploring quantitative and qualitative measures available with Gemini Code Assist, and integrating with Cloud Monitoring and Cloud Logging. Discover how to leverage DevOps Research and Assessment (DORA) metrics to track productivity gains. Whether you’re a developer, team lead, architect, or IT manager, you’ll gain insights into measuring the impact of AI assistance.

Are you a DevOps engineer or site reliability engineer (SRE) tasked with keeping mission-critical applications running 24/7? What if AI could help you detect, diagnose, and resolve incidents faster than ever before? Join the session to learn how to use AI assistance to diagnose and troubleshoot incidences and improve the mean time to detect (MTTD) and mean time to repair (MTTR). Charles Schwab partnered with Google Cloud on exploring the capabilities of Gemini Cloud Assist. And in this session, they’ll share their firsthand experiences testing Gemini Cloud Assist to enhance the reliability of their login application that handles millions of logins daily. Get practical AI skills and tips that you can put into your job right away.

Platform Engineering promises to be the next evolutionary step beyond DevOps and SRE by reducing complexity and unlocking efficiency by shifting tasks down into the platform. Join us and connect with fellow experts in DevOps, SRE, and the Platform Engineering community to discuss essential new tools and principles needed for successful digital transformations in 2025. Gain valuable advice, guidance, and networking opportunities.

Presenting “one network,” a novel approach to simplify service integration and increase compliance across heterogeneous environments. Learn how using open source proxies provides a policy-oriented network architecture for consistent policy enforcement, service assembly, and secure-by-default deployments. One network also provides role separation across DevOps, SecOps, site reliability engineers, and app developers, streamlining operations and increasing efficiency. Attend this session to discover how one network can transform your approach to service delivery.

Supercharge your team’s developer experience (DevEx) with DevOps Research and Assessment (DORA) reports and AI. This session reveals how high-performing teams leverage DORA insights and AI to enhance their software development life cycle. Learn to boost code quality and delivery performance, with real-world examples of teams that have improved innovation and agility. Discover how to apply AI for actionable insights, and get practical strategies to build a high-performing team that gets better at getting better.

Gaining visibility and reducing risks across multi-cloud environments has historically meant sifting through an increasing number of disjointed tools across DevOps, Cloud Security, and the SOC. A scalable, unified approach is needed for visibility across multi-cloud environments, including where AI is being used, and which data AI can access. Join Wiz as we discuss how Google Cloud and Wiz are better together to meet these challenges through the adoption of a Cloud-Native Application Protection Platform (CNAPP).

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Ready to take your Day 2 operations to the next level? This session is your one-stop shop for mastering Day 2 ops in 2025. We’ll cover everything you need to know, such as leveraging observability and AI agents for DevOps use cases, building application-centric observability, and optimizing for cost and utilization on Google Cloud. This roundup session explores a variety of products and updates in the Day 2 space, giving you the tools and knowledge to supercharge your operational efficiency and drive innovation.

Calling all developers, DevOps, and SRE engineers: Join us to discuss observability best practices for Gen AI apps on Google Cloud. We'll explore tracing, monitoring, and logging for Gen AI. Share insights on TPU/GPU monitoring, log correlation, regulatory alignment, and data-driven insights to enhance your Gen AI deployments.

Integrate third-party DevOps products into the Google Cloud software development life cycle (SDLC), starting with a CI/CD pipeline and ending on alerting and incident reporting.