

Google Cloud Infrastructure Manager is a fully managed service that automates the deployment and management of Google Cloud resources using Terraform configurations. By integrating Terraform's infrastructure as code (IaC) capabilities directly into the Google Cloud ecosystem, Infrastructure Manager enables users to define, provision, and manage cloud infrastructure in a declarative and consistent manner. Key Features and Functionality: - Managed Terraform Service: Infrastructure Manager handles the execution of Terraform configurations, including state management and locking, eliminating the need for users to maintain separate toolchains or manage remote state backends. - Preview Deployments: Users can preview infrastructure changes before applying them, allowing for validation and ensuring that deployments align with expectations. - Quota Validation: The service proactively checks for quota limits, preventing deployments that would exceed project quotas and thereby reducing the risk of deployment failures. - GitOps Integration: Infrastructure Manager supports integration with Git repositories, enabling automated deployments triggered by changes in the repository, which facilitates continuous integration and delivery workflows. - Native Google Cloud Integration: The service is deeply integrated with Google Cloud's ecosystem, providing seamless access to Identity and Access Management (IAM), logging, monitoring, and security features without additional configuration. Primary Value and Problem Solved: Infrastructure Manager streamlines the process of managing Google Cloud infrastructure by providing a native, managed Terraform service. It reduces operational overhead by automating state management and deployment processes, enhances reliability through preview and validation features, and ensures consistency across environments. By integrating with existing Google Cloud services, it offers a cohesive and efficient solution for infrastructure management, enabling teams to focus on delivering value rather than managing deployment complexities.

Cloud Tools for Visual Studio is a powerful environment to build Windows and .NET applications and deploy them to Cloud Platform directly from your favorite IDE. Tap Google APIs, manage cloud resources, and deploy .NET applications to high-performance Windows VMs running on Google Compute Engine. Run and test your application locally and deploy to the cloud seamlessly right from Visual Studio.

The Open Banking APIx solution simplifies and accelerates the process of delivering open banking as required by PSD2 by enabling speedy and secure delivery of PSD2-compliant APIs.

Carbon Footprint Measure, report, and reduce your cloud carbon emissions.

Google Cloud Persistent Disk is durable and high performance block storage for the Google Cloud Platform.

Gemma 3 270M is a compact, text-only model within the Gemma family of generative AI models, designed to perform a variety of text generation tasks such as question answering, summarization, and reasoning. With 270 million parameters, it offers a balance between performance and efficiency, making it suitable for applications with limited computational resources. Key Features and Functionality: - Text Generation: Capable of generating coherent and contextually relevant text for tasks like summarization and question answering. - Function Calling: Supports function calling, enabling the creation of natural language interfaces for programming functions. - Wide Language Support: Trained to support over 140 languages, facilitating multilingual applications. - Efficient Deployment: Its relatively small size allows for deployment on devices with limited computational power. Primary Value and User Solutions: Gemma 3 270M provides developers with a versatile and efficient AI model for text-based applications. Its support for function calling allows for the development of natural language interfaces, enhancing user interaction with software systems. The model's wide language support enables the creation of applications that cater to a global audience. Additionally, its compact size ensures that it can be deployed on devices with limited resources, making advanced AI capabilities accessible in various environments.

Device Connect for Fitbit Enable a more holistic view of patients with connected Fitbit data on Google Cloud.

Fully managed batch service to schedule, queue, and execute batch jobs on Google's infrastructure.

Free data from infrastructure to slash cost, time, and complexity while improving business resiliency and access to the cloud.



Organize the world’s information and make it universally accessible and useful.