Transform your developer experience by integrating Backstage with Google Cloud. Learn how to implement essential platform engineering practices applicable to any industry or size. Discover how you can achieve remarkable results by building a self-service developer platform on Backstage for your multi-tenant Google Kubernetes Engine infrastructure like HCA Healthcare did. Learn firsthand how they transformed developer onboarding: slashing the process from months to just minutes, improving developer satisfaction, and accelerating innovation at scale.

Tired of outdated Firebase Crashlytics alert settings? So are we! We’re giving Crashlytics in-console alerts a complete overhaul, addressing what’s been your top feedback since 2012. But we’re not stopping there. To unlock even more powerful alerting capabilities, we’re integrating Crashlytics with Google Cloud. Harness the power of BigQuery and the Google Cloud Observability suite to create advanced, enterprise-grade alerts tailored to your specific needs. Join us to learn how this revamped alerting system can streamline your debugging workflow and improve your app’s stability.

Explore the journey behind building the McKinsey Value Intelligence Assistant, bringing AI powered curation and insights to key business leaders by integrating dozens of datasets, filings and earnings call transcripts from 50K global companies. Gain insights into overcoming challenges in system architecture, data security, and real-time analytics to create a robust, cloud-native data intelligence platform with a small team in a short period time and the resulting business impact!

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.

Revolutionize your unit-testing process with Gemini Code Assist. This session showcases the AI-powered unit-testing agent that analyzes your code, identifies coverage gaps, and automatically generates new tests. Learn how this tool integrates with popular frameworks, adheres to your coding standards, and frees you from tedious tasks, allowing you to focus on building better software.

 Everyone has parts of the software development process they find tedious or toilsome. With Gemini Code Assist agents, we can reduce that toil and boost your productivity by intelligently assisting you throughout the entire SDLC. By walking through an example with our unique, agent-driven approach to building and querying code documentation in the newly launched Firebase Studio, we’ll show you how AI agents can accelerate your development and allow you to focus on what you truly enjoy: coding.

This hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational applications.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Learn, build, and grow! Explore how you can get more from Firebase and the Google developer ecosystem through Google’s Developer Program with more benefits and integrations.

Spanner isn't just a database, it's a globally distributed, strongly consistent and highly reliable database platform built for the complexities of modern AI-first applications. We'll explore how Spanner's multi-model capabilities, including advanced search and seamless integration with analytics, enable developers to build intelligent, globally accessible applications. We’ll dive into Spanner's underlying technology to simplify your database solutions and learn from real-world examples from Shopify and Palo Alto Networks.

Discover the perfect spot for your next store. This session shows you how to leverage Google Maps data and BigQuery to find ideal locations. Learn how to analyze valuable location insights and make data-driven decisions to grow your business.

Accelerate your code review process and increase software quality with Gemini Code Assist in GitHub. This session demonstrates how the power of Gemini can now be integrated into GitHub, bringing a code review agent directly to your pull requests that can provide pull request summarization and code improvement suggestions. Plus, you’ll learn how to customize these Gemini-powered reviews to focus on best practices that are specific to your team and repository.

Empower employees to more efficiently and effectively handle customer interactions. Learn about the Agent Assist capabilities that provide real-time assistance and coaching to customer service employees. Discover how Conversational Insights and Quality AI can automate quality management, and provide data-driven insights to boost operational efficiency and agent performance. This session will dive into the new capabilities with product demos, expert guidance, and insights from customers who have deployed them in production.

Learn how the new agentic application stack combines evolved orchestration patterns, powerful semantic operators, and seamless interactions with Google Cloud databases. Join this breakout session to discover real-world use cases and gain insights into the future of software engineering, natural language interfaces, and multimodal applications.

Generative AI offers exciting possibilities, but its unpredictable nature can make it challenging to deploy in a production environment. In this session, we’ll explore how to confidently deploy gen AI features to your apps using Firebase Genkit and Firebase Remote Config.

Developers love Cloud Run, Google Cloud’s serverless runtime. Join this session for a deep dive into new Cloud Run capabilities that make it even simpler to deploy your applications and enable you to deploy new types of workloads, including AI inference. Discover how Cloud Run can power your most demanding workloads with unparalleled efficiency and flexibility.

This hands-on lab empowers you to build a cutting-edge multimodal question answering system using Google's Vertex AI and the powerful Gemini family of models. By constructing this system from the ground up, you'll gain a deep understanding of its inner workings and the advantages of incorporating visual information into Retrieval Augmented Generation (RAG). This hands-on experience equips you with the knowledge to customize and optimize your own multimodal question answering systems, unlocking new possibilities for knowledge discovery and reasoning.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

This session explores Yahoo Mail’s successful implementation of OpenTelemetry within their globally distributed Google Kubernetes Engine (GKE) environment on Google Cloud. Discover how they achieved seamless integration with Google Cloud Observability and established a centralized observability platform for multiple teams. Learn best practices and gain their top tips and tricks for building enterprise-level observability.

Tired of jumping from tool to tool to bring your organization's ambitious ideas to life? Seeking an AI-powered ecosystem where your team can thrive at every phase of the development journey? We’ve got you covered. Beyond the IDE, GitHub is your personalized end-to-end platform. Join us to learn how to streamline and accelerate your workflows, no matter the enterprise need.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

In this session learn about performance optimizations for PyTorch on Google Cloud accelerators using OpenXLA. These models are powerful but can be disrupted by resource failures. This talk also explores strategies for achieving greater resiliency when running PyTorch on GPUs, focusing on fault tolerance, checkpointing, and distributed training. Learn how to leverage open source tools to minimize downtime and ensure your deep learning workloads run smoothly.