Google Network Connectivity Center

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Network Connectivity Center Reimagine how you deploy, manage, and scale your networks.

Google Confidential Computing

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Confidential Computing Protect data in-use with Confidential VMs, Confidential GKE, Confidential Dataflow, Confidential Dataproc, and Confidential Space.

Google Cloud Lakehouse

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BigLake BigLake is a storage engine that unifies data warehouses and lakes by enabling BigQuery and open source frameworks like Spark to access data with fine-grained access control. BigLake provides accelerated query performance across multi-cloud storage and open formats such as Apache Iceberg.

Google Network Intelligence Center

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Network Intelligence Center Single console for Google Cloud network observability, monitoring, and troubleshooting. Reduce the risk of outages and ensure security and compliance.

Manidant Breach Analytics

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Breach Analytics for Chronicle Know what we know when we know it. Continuously monitor your current and historical security events. Identify and prioritize matches with the latest indicators of compromise (IOCs) through advanced analytics.

Active Assist

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Active Assist is a comprehensive suite of intelligent tools designed to optimize cloud operations on Google Cloud. By leveraging data, machine learning, and automation, it provides actionable recommendations to reduce costs, enhance performance, bolster security, and promote sustainability. Active Assist simplifies cloud management by proactively identifying inefficiencies and offering solutions, enabling organizations to focus more on innovation and less on administrative tasks. Key Features and Functionality: - Cost Optimization: Identifies and recommends the removal of unused or idle resources, suggests downsizing virtual machines to better fit workload requirements, and advises on utilizing committed use discounts to achieve cost savings. - Security Enhancement: Provides actionable recommendations to strengthen security posture by reducing over-granted permissions, enabling additional security features, and assisting with compliance and security incident investigations. - Performance Improvement: Offers predictive and automated solutions to enhance the performance of cloud resources and workloads, ensuring infrastructure is prepared for evolving application needs. - Reliability Assurance: Increases the availability and reliability of cloud resources through health checks, auto-scaling capabilities, and business continuity and disaster recovery options. - Manageability Simplification: Streamlines cloud configuration management by providing tools that automate and simplify tasks, allowing teams to dedicate more time to innovation. - Sustainability Focus: Delivers insights and tools to assess, manage, and reduce the carbon footprint of workloads running on Google Cloud. Primary Value and User Solutions: Active Assist empowers organizations to maximize the value of their cloud deployments by providing intelligent, proactive recommendations across various operational domains. It addresses common challenges such as cost overruns, security vulnerabilities, performance bottlenecks, and environmental impact. By integrating Active Assist into their cloud strategy, users can achieve a more efficient, secure, and sustainable cloud environment, ultimately driving better business outcomes.

Google Cloud Application Integration

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Google Cloud Application Integration is a fully managed Integration-Platform-as-a-Service that enables businesses to seamlessly connect and automate workflows across diverse applications and data sources. With its intuitive, low-code visual designer, users can create, manage, and scale integrations without extensive coding knowledge, facilitating efficient data flow and process automation. Key Features: - Visual Integration Designer: A drag-and-drop interface that simplifies the creation of complex workflows, allowing users to build integrations quickly without manual coding. - Pre-Built Connectors: Access to over 90 connectors for Google Cloud services and third-party applications , enabling easy integration without protocol-specific knowledge. - Data Mapping and Transformations: A visual data mapping editor with comprehensive functions to address complex data transformation requirements efficiently. - Event-Driven Triggers: Out-of-the-box triggers, including API, Cloud Pub/Sub, Schedule, and Salesforce triggers, to automate integration execution based on specific events. - Monitoring and Logging: Pre-built dashboards and detailed execution logs provide real-time insights into integration performance and usage, aiding in proactive issue detection and troubleshooting. Primary Value: Google Cloud Application Integration addresses the challenge of connecting disparate applications and data sources by providing a scalable, secure, and user-friendly platform. It empowers organizations to automate business processes, enhance operational efficiency, and reduce the complexity and time associated with manual integrations. By leveraging pre-built connectors and a low-code environment, businesses can accelerate digital transformation and respond swiftly to evolving operational needs.

Google Cloud Blockchain Node Engine

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Google Cloud's Blockchain Node Engine is a fully managed node-hosting service designed to streamline the deployment and management of blockchain nodes. It enables Web3 developers to relay transactions, deploy smart contracts, and interact with blockchain data with the reliability, performance, and security inherent in Google Cloud's infrastructure. By eliminating the complexities associated with self-managed nodes, the Blockchain Node Engine allows developers to focus on building and scaling their decentralized applications (dApps without the operational overhead. Key Features and Functionality: - Streamlined Provisioning: Deploy new blockchain nodes quickly and easily through the Google Cloud console or API, reducing the time and effort required for manual setup. - Fully Managed Operations: Google Cloud actively monitors nodes, handling restarts and upgrades as needed, ensuring high availability and reducing the need for dedicated DevOps resources. - Dedicated and Isolated Nodes: Gain the flexibility of self-managed nodes without the associated operational challenges, with options to deploy nodes in various regions to meet performance and compliance requirements. - Enterprise-Grade Infrastructure: Benefit from Google's reliable and secure infrastructure, including TLS-enabled RPC endpoints and protection against DDoS attacks through Cloud Armor. - Predictable Pricing: Enjoy a flat hourly fee regardless of the number or type of requests, allowing for budget predictability when indexing blockchain data. Primary Value and Problem Solved: The Blockchain Node Engine addresses the challenges of deploying and managing blockchain nodes, which are often time-consuming and require constant oversight. By offering a fully managed service, it reduces the operational burden on developers, allowing them to concentrate on innovating and scaling their Web3 applications. This service ensures secure, reliable, and efficient access to blockchain networks, facilitating faster development cycles and improved application performance.

Google Cloud Dataform

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Google Cloud Dataform is a fully managed service that enables data teams to develop, test, version control, and operationalize scalable data transformation pipelines in BigQuery using SQL. By integrating seamlessly with BigQuery, Dataform allows data analysts and engineers to collaborate efficiently, applying software engineering best practices such as version control, testing, and documentation to their SQL workflows. This approach simplifies the data processing architecture and enhances the reliability and maintainability of data pipelines. Key Features: - Open Source, SQL-Based Language: Dataform Core extends SQL to facilitate the creation of table definitions, management of dependencies, addition of column descriptions, and configuration of data quality assertions within a single repository. - Fully Managed, Serverless Orchestration: Dataform automates the operational infrastructure required to update tables, managing dependencies and utilizing the latest code versions. It supports manual triggers and scheduling through Cloud Composer, Workflows, BigQuery Studio's data pipelines, or third-party services. - Integrated Development Environment: Users can define tables, receive real-time error messages, visualize dependencies, commit changes to Git, and schedule pipelines—all from a single web-based interface. Integration with GitHub and GitLab facilitates seamless version control and collaboration. Primary Value and Problem Solved: Dataform addresses the challenges of building and maintaining complex data transformation pipelines by providing a unified platform that combines the simplicity of SQL with robust software engineering practices. It empowers data teams to create production-grade pipelines without the need for extensive infrastructure management, thereby accelerating development cycles and improving data quality. By fostering collaboration between data analysts and engineers, Dataform ensures that data transformations are reliable, well-documented, and easily maintainable.