API attacks are on the rise, threatening your applications and sensitive data. Apigee's Advanced API Security helps detect API abuses with machine learning models training on a corpus of traffic from Google’s services like YouTube. Join us in this session to learn how Apigee customizes these models for each customer to improve precision in detecting malicious activity.

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BigQuery Studio and BigFrames are a powerful combination for scalable data science and analytics. Unify data management, analysis, and collaboration with BigQuery Studio’s intuitive interface. Scale data science and machine learning with BigFrames’ powerful Python API. Get deeper insights, faster.

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Learn how to streamline application development using Infrastructure as Code (IaC) principles. This session explores building data APIs with declarative configurations and deploying them globally for seamless scalability. GraphQL empowers your teams to work independently within their domains, guided by a robust type system. Break down data silos, enable self-service data access across your enterprise, and watch your developers create exceptional user experiences. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Elevate developer productivity in our SRE-focused session, leveraging Gemini and GCP's native observability. Explore a GKE-deployed e-commerce demo, unveiling Gemini's prowess in assessment, troubleshooting, and suggesting improvements with native APIs.

Enhance team efficiency, saving time from the cloud console and within IDEs. Join us for a transformative experience.

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Learn how “Supply-chain Levels for Software Artifacts” when combined with “Graph for Understanding Artifact Composition” and “Software Bill of Materials” will help you defend against supply-chain attacks, guarantee artifact integrity, expose transitive dependencies, identify software security position, and visualize the dependency graphs. This Deloitte session will cover SLSA maturity models using Google Cloud core services such as Cloud Build, Software Delivery Shield, Container Scanning API to integrate guardrails into development lifecycle.

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As the sprawling web of applications continues to expand, platform engineers today are grappling with ever-increasing security, reliability, and productivity challenges. Join our experts in this session to learn how AI-assisted automation can help platform engineers standardize API creation, automate spec generation and reviews, ensure comprehensive visibility across all enterprise APIs, enforce consistent security standards, and unlock new revenue streams.

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Explore the capabilities of RoostGPT in our upcoming session, an innovative testing platform at the forefront of generative AI and Large Language Models (LLMs). RoostGPT is engineered to redefine test case generation, enabling the creation of detailed and accurate test suites without the need for manual effort. It facilitates the automated generation of Unit, API, Integration, and Functional tests, significantly increasing productivity and expanding test coverage. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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In this mini course you will learn about different prompt design and engineering techniques commonly used in LLM-powered applications such as few-shot prompting and chain of thought reasoning. You will then apply these practices in a hands-on lab environment using the PaLM and Gemini Pro APIs.

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In this session we’ll create an Apigee proxy that will talk to our containerized workload on Google Cloud Run and Google Cloud SQL, where our business logic will be stored. We’ll explore Apigee capabilities like security and monetization, and build developer resources. We will also cover the concept of “treating your APIs as products.”

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Learn about the different ways to integrate Generative AI capabilities to your Android. We’ll cover Android APIs and SDKs to run text-to-text and text-to-image inference on-device and in the cloud.

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Google Cloud’s Apigee API Management seamlessly connects your application to services across various cloud platforms, while Cross-Cloud Interconnect delivers a high-speed, secure connection for seamless data exchange. Experience the best of both worlds – cloud flexibility and core performance, allowing your application to thrive in any cloud environment.

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In this session, we’ll show you how you can harness the power of Google Chat APIs to build innovative workflows and Chat apps that drive productivity and empower workers. We’ll explore real-world use cases and showcase demos of custom Chat apps that streamline workflows, optimize communication, and enhance user experience. Discover the latest updates to the Chat REST API, the new Chat Events API, and the UI toolkit. All of which can be combined with generative AI to create next-generation Chat apps that have the potential to transform the way users collaborate and connect.

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Cloud Run is Google Cloud's serverless runtime. It’s the simplest way to deploy a website or web API or perform streaming and batch data processing. In this session, we’ll cover what's new for two major areas of Cloud Run: Enterprise architectures and streamlined application management.

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As an API-first and cloud-born platform, Looker has always been focused on providing developers with the tools to build scalable and unique data applications and embedded analytics experiences. Learn about the latest Looker Embedded product enhancements and about Create Music Group's journey to create amazing data products by partnering with Google Cloud.

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Learn more about the new Google Meet API and SDKs that let you build integrated workflows with Meet and bring shared experiences with your app right inside the meeting. With our latest API, developers can build workflows using critical data from meetings like participants, transcripts, recording, and more. We’ll also share how you can bring Meet inside your app and give you a glimpse of what's coming up for our platform. No matter where users are, developers can extend the power of Google Meet to keep users connected, collaborating, and engaged.

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Adequately testing systems that use Google Cloud services can be a serious challenge. In this session we’ll show you how to shift testing to an API-first approach using Testcontainers. This approach helps us improve the feedback cycle and reliability for both our inner-dev loop and our competitive intelligence cycle. We’ll go through an end-to-end example that uses BigQuery and PubSub, Cloud Build, and Cloud Run. Examples will use Kotlin but it could be accomplished with other languages including Rust, Go, JavaScript, Python, Java, and more.

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Build AI-powered workflows and app integrations with Google Workspace. We’ll share our vision for Gemini-powered workflows that are seamlessly integrated across our Workspace apps – built in a way that the users hardly notice it’s a workflow they are creating. We’ll also cover the latest news on Google Workspaces platform and ecosystem capabilities in Google Meet, Google Chat apps, and Smart Canvas. Also, we’ll share the latest integration news for Gemini for Google Workspace, including Salesforce and a new partnership.

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Follow along as two Developer Relations Engineers work in real-time to develop a minimal viable Flutter app, backed by Firestore database through a Google Cloud Run-powered API. We'll see the Cloud Run developer experience, focusing on automation and error recovery to deploy a REST API. Based on this API, see how to develop a Flutter application showing the latest UI features.

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Join us for this session where we will explore key MongoDB Atlas features including Data Federation, Atlas Triggers, and GraphQL API. We will also dive deep into MongoDB Atlas and Google Cloud integrations, such as Vertex AI and BigQuery, and how you can leverage these tools to build and scale your apps. Leave with actionable insights on how you can build with MongoDB Atlas on Google Cloud and explore what our Startup Program can do for you.

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Google AI and Vertex AI are two Google Cloud platforms that allow developers to access the Gemini API. In this session, developers will learn what is possible to do today, and they will see some sneak peeks about what is coming.

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A hands-on coding session and deep dive for connecting Gemini to real-world systems, data, and APIs with Function Calling and Reasoning Engine. Function calling helps developers build online generative AI applications that have access to the latest data and information. We'll dive into practical use cases like using natural language to interact with SQL databases, automating complex workflows, and enhancing your chatbots with real-time data. You'll be equipped to connect LLMs to any API or system and extend the capabilities of what LLMs can do.

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In a fireside chat, Google Workspace generative AI partners Salesforce, Outreach, and Typeface will share how customers are adopting generative AI tools to gain real-world business value. Whether it's extending the value of Gemini with Salesforce, leveraging Workspace APIs to power conversational intelligence, or inserting text or images into Workspace apps like Gmail, Docs, Sheets, or Slides, the customer benefits are countless.

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Complexity and fragmentation of current generative AI models can hinder development and innovation. Vertex Model Garden offers over 130 models on one platform, facilitating innovation with features like one-click deployment for leading open models and integration with Hugging Face. We'll explore how Vertex AI Model Garden transforms AI lifecycle management, from experimentation to scalable deployment. Discover efficiency with an end-to-end example of how to find models, manage data, configure endpoints, and deploy models as scalable APIs.

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In this mini course, you will explore automatic side-by-side evaluation on Vertex AI using AutoSxS, a tool for evaluating models relative to each other. You will understand the application of side-by-side evaluation how you can use AutoSxS through the Vertex AI API or Vertex AI SDK for Python.

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Navigating OAuth, OIDC, SAML, or any of the myriad technologies and processes around using Google accounts and APIs can be daunting, and if you feel this way you're not alone. In this session, we'll help you understand and navigate the landscape of authentication and authorization related technologies Google Workspace developers most often encounter.

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