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.

Google Distributed Cloud Hosted

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Google Distributed Cloud Hosted (GDC Hosted is a fully managed, air-gapped cloud solution designed for organizations with stringent data sovereignty, security, and privacy requirements. It enables the deployment, operation, and scaling of cloud services within a completely isolated environment, without the need for connectivity to Google Cloud or the public internet. This ensures that sensitive data remains secure and compliant with regulatory standards. Key Features and Functionality: - Full Isolation: GDC Hosted operates in an air-gapped environment, eliminating the need for external connectivity to manage infrastructure, services, APIs, or tooling. This design supports strict compliance with standards such as NIST SP 800-53-FedRAMP High security controls. - Integrated Cloud Services: The platform delivers advanced Google Cloud services, including data analytics and machine learning technologies. Users can leverage built-in AI solutions like Translation API, Speech-to-Text, and optical character recognition (OCR within the isolated environment. - Open Ecosystem: Built on the Kubernetes API and utilizing leading open-source components, GDC Hosted promotes an open cloud strategy. This approach accelerates developer adoption by leveraging existing expertise and tools, avoiding the need to learn new proprietary systems. - Flexible Hardware Options: GDC Hosted offers flexibility in hardware configurations, including general-purpose compute and GPUs. Organizations can start with as few as four racks and scale up to hundreds as their workloads grow, ensuring a fully redundant, high-availability architecture for mission-critical systems. - Configurable Operations: The operating model of GDC Hosted can be tailored to meet each organization's unique specifications and regulatory requirements. It can be operated by Google, a trusted partner, or a combination of both, with customizable elements like operator citizenship and clearance requirements. Primary Value and Problem Solved: GDC Hosted addresses the critical need for organizations to modernize their IT infrastructure while maintaining complete control over sensitive data. By providing a fully isolated, air-gapped cloud environment, it ensures compliance with stringent regulatory and security requirements, making it ideal for sectors such as government, financial services, healthcare, and utilities. Organizations can leverage advanced cloud services and AI capabilities without compromising data sovereignty or security, enabling innovation and operational efficiency within a secure and compliant framework.

Google Cloud Immersive Stream for XR

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Google Cloud's Immersive Stream for XR is a cloud-based service that enables the hosting, rendering, and streaming of high-quality 3D and augmented reality experiences directly to users' devices. By leveraging Google's powerful cloud GPUs, it delivers photorealistic, interactive content without the need for users to download specialized applications or possess high-end hardware. This service allows developers to create immersive experiences that are accessible via simple links or QR codes, making extended reality content more widely available. Key Features and Functionality: - Cloud-Based Rendering: Utilizes Google's cloud GPUs to render complex 3D scenes, offloading processing from client devices and ensuring consistent performance across various platforms. - Device Compatibility: Supports a wide range of devices, including iOS, Android, tablets, and desktops, without requiring additional applications. Experiences can be accessed through web browsers or the Google app, providing flexibility in user engagement. - Integration with Unreal Engine: Supports content developed in Unreal Engine 5.0, allowing developers to create detailed and realistic environments. Features like Nanite and Lumen enhance visual fidelity and performance. - Interactive Streaming: Streams experiences as video frames to client devices, enabling real-time interaction with low latency. Users can engage with 3D content in both standard and AR modes, enhancing immersion. - Easy Deployment: Allows for the embedding of immersive experiences into websites using HTML iframes, enabling seamless integration into existing digital platforms. Primary Value and User Solutions: Immersive Stream for XR addresses the challenge of delivering high-quality XR content without the limitations of device capabilities or the need for extensive downloads. By offloading rendering to the cloud, it ensures that users can access rich, interactive experiences on a wide array of devices, democratizing access to XR content. This service is particularly beneficial for industries like retail, automotive, and tourism, where businesses can offer virtual product demonstrations, customizable configurations, and virtual tours, enhancing customer engagement and decision-making processes.

Mandiant Security Validation

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Security Validation Continuously measure and validate your security effectiveness against today’s adversaries

Migrate to Virtual Machines

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Fast, flexible, and safe migration of virtual machines to Google Cloud.

Mandiant Attack Surface Management

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Mandiant Attack Surface Management is a cybersecurity solution designed to provide organizations with a comprehensive view of their external digital footprint. By continuously discovering and analyzing internet-facing assets—including cloud resources, applications, and services—ASM identifies vulnerabilities, misconfigurations, and exposures. This proactive approach enables security teams to understand their attack surface from an adversary's perspective, allowing them to prioritize and remediate risks effectively. Key Features: - Continuous and Automated External Asset Discovery: ASM continuously identifies and monitors internet-facing assets across dynamic environments, ensuring up-to-date visibility. - Infrastructure Integrations: The solution supports integrations with cloud and DNS providers, enhancing asset visibility and management. - Intelligence-Informed Active and Passive Checks: Utilizing frontline intelligence, ASM performs both active and passive assessments to validate asset susceptibility to exploitation. - Customizable Scans: Organizations can schedule daily, weekly, or on-demand scans to meet specific security requirements. - Outcome-Based Asset Discovery: ASM allows for tailored asset discovery workflows based on specific outcomes or use cases, enhancing operational efficiency. - Integration Support: The platform is compatible with various Security Information and Event Management , Security Orchestration, Automation, and Response , and ticketing systems, facilitating streamlined remediation processes. Primary Value and Problem Solved: In today's rapidly evolving IT landscape, organizations face challenges in maintaining visibility over their expanding digital environments, which include cloud services, SaaS applications, and remote work infrastructures. This expansion often leads to unknown or unmanaged assets, increasing the risk of cyber threats. Mandiant ASM addresses this challenge by providing continuous, automated discovery and analysis of external assets, enabling organizations to: - Enhance Security Posture: By identifying vulnerabilities before they can be exploited, ASM helps organizations strengthen their defenses. - Mitigate Risks: The solution reduces the attack surface by alerting teams to exposed assets, allowing for timely remediation. - Achieve Comprehensive Visibility: ASM offers a detailed inventory of applications and services within the external ecosystem, ensuring no asset goes unnoticed. By operationalizing threat intelligence and providing actionable insights, Mandiant ASM empowers organizations to proactively manage their attack surface, thereby reducing the likelihood of security breaches and ensuring a robust cybersecurity posture.

Mandiant Breach Analytics for Chronicle

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Mandiant Breach Analytics for Chronicle is a SaaS-based solution that integrates Mandiant's frontline threat intelligence with Google Cloud's Chronicle Security Operations suite. This integration enables organizations to enhance their security posture by automating the detection of indicators of compromise within their IT environments. By continuously monitoring both current and historical security events, the solution applies contextual information and machine learning to prioritize potential threats, allowing for rapid identification and response to breaches. Key Features and Functionality: - Real-Time IOC Detection: Continuously scans security events in Chronicle for up-to-date IOCs, ensuring timely identification of potential breaches. - Contextual Prioritization: Utilizes machine learning and contextual data to assess and prioritize detected threats, reducing false positives and focusing on the most critical issues. - Integration with Mandiant Intel Grid™: Leverages comprehensive threat intelligence from Mandiant's extensive experience in incident response and threat analysis. - Scalable Data Analysis: Employs Google Cloud's infrastructure to analyze vast amounts of security telemetry efficiently, with extended data retention capabilities. - Automated Response: Reduces reliance on manual processes by automating the detection and prioritization of IOCs, enhancing the efficiency of security operations. Primary Value and Problem Solved: Mandiant Breach Analytics for Chronicle addresses the critical need for organizations to swiftly detect and respond to cyber threats. By automating the identification and prioritization of IOCs, it significantly reduces attacker dwell time—the period between intrusion and detection—thereby minimizing potential damage and operational disruption. This solution empowers security teams to act promptly on credible threats, enhancing overall resilience against cyber attacks.

Google Cloud Parallelstore

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Google Cloud Parallelstore is a fully managed, high-performance parallel file system designed to meet the demands of data-intensive applications, including artificial intelligence , machine learning , and high-performance computing . Built on Intel's Distributed Asynchronous Object Storage architecture, Parallelstore offers exceptional read throughput—up to six times greater than competitive Lustre scratch offerings—making it ideal for workloads requiring ultra-low latency and high input/output operations per second . Key Features and Functionality: - Fast, Scalable Performance: Parallelstore delivers high bandwidth, high IOPS, and ultra-low latency by utilizing byte-addressable media for metadata and small I/O operations, and locally attached NVMe with software-managed redundancy for bulk I/O. - Configurable to Fit Use Cases: Users can tailor Parallelstore to their specific needs, building systems of the right scale for extreme generative AI and HPC simulation use cases. - Future-Proof Architecture: The service supports HPC scale, AI/ML convergence, and Kubernetes integration, allowing businesses to grow and scale with minimal disruption. Its distributed metadata management and key-value store architecture align well with emerging AI workload patterns. - Open Source Flexibility: Being built on Intel DAOS, an open-source platform, Parallelstore provides the flexibility to deploy and, if necessary, migrate critical workloads across or off public cloud platforms without operational overhead or the need for specialized skills. Primary Value and Problem Solved: Parallelstore addresses the critical need for high-performance, low-latency storage solutions in AI, ML, and HPC environments. By providing a managed parallel file system with exceptional throughput and scalability, it ensures that compute resources, such as GPUs and TPUs, are fully utilized without being bottlenecked by storage limitations. This optimization leads to faster training times, more efficient simulations, and overall improved performance for data-intensive applications.