Google Cloud Source Repositories provides Git version control to support collaborative development of any application or service, including those that run on Google App Engine and Google Compute Engine.
Cloud Platform Security Overview allows users to deploy on an infrastructure protected by top experts in information, application, and network security.
Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.
Google Cloud AutoML is a suite of machine learning products designed to enable developers with limited expertise to train high-quality custom models tailored to their specific business needs. By leveraging Google's advanced transfer learning and neural architecture search technologies, AutoML simplifies the process of building, deploying, and scaling machine learning models, making AI more accessible to a broader audience. Key Features and Functionality: - Automated Model Training: AutoML auto
Recommendations AI Deliver highly personalized product recommendations at scale.
Cloud Identity-Aware Proxy (Cloud IAP) controls access to user cloud applications running on Google Cloud Platform.
Preconfigured and optimized containers for deep learning environments.
Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models. Key Features and Functionality: - Flexible and Scalable Hardware: Provides a wide range of AI-optimized co
Stackdriver Logging allows users to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS).
Google Cloud’s Artificial Intelligence (AI) Hub is a catalog of plug-and-play AI components, including end-to-end AI pipelines and out-of-the-box algorithms.
The powerful pre-trained models of the Natural Language API let developers work with natural language understanding features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
Learn how to use Terraform to reliably provision infrastructure on Google Cloud.
A unified identity, access, app, and device management (IAM/EMM) platform that helps IT and security teams maximize end-user efficiency, protect company data, and transition to a digital workspace.
Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud
Google Cloud Identity & Access Management (IAM) is a software that lets administrators authorize who can take action on specific resources, giving a full control and visibility to manage cloud resources centrally, it established enterprises with complex organizational structures, hundreds of workgroups and potentially many more projects to provides a unified view into security policy across entire organization, with built-in auditing to ease compliance processes.
Deep Learning VM Image Preconfigured VMs for deep learning applications.
Cloud Spanner is a fully managed relational database service designed to offer both strong consistency and horizontal scalability for mission-critical online transaction processing (OLTP) applications.
Extract structured data from documents and analyze, search and store this data. The Document AI solutions suite includes pre-trained models for data extraction, Document AI Workbench to create new custom models or uptrain existing ones and Document AI Warehouse to search and store documents.
Google Cloud's Agent Assist is an AI-powered solution designed to enhance customer service operations by providing real-time support and guidance to customer care representatives. By leveraging machine learning, Agent Assist analyzes ongoing conversations and offers contextually relevant suggestions, enabling agents to resolve customer inquiries more efficiently and accurately. Key Features: - In-the-Moment Coaching and Assistance: Delivers contextual, step-by-step guidance during live interac