Payment Gateway

1 review

Payment Gateway Process API-based payments with reliability at Google scale.

Google Cloud Zync Render

1 review

Google Cloud Zync Render gives studios the computational power and global reach of Google’s infrastructure, directly from the 3D modeling tools artists already use. Unlock unprecedented scale and cost savings when your project needs it most

Project Shield

1 review

Project Shield is a free service that uses Google technology to protect news sites and free expression from DDoS attacks on the web.

Cloud IDS

1 review

Cloud IDS Cloud IDS (Cloud Intrusion Detection System) provides cloud-native network threat detection with industry-leading security.

Google Database Migration Service

1 review

Database Migration Service Simplify migrations to the cloud. Available now for MySQL and PostgreSQL, with Oracle migrations in preview.

Google Cloud Parallelstore

0 reviews

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.

Google Cloud Rapid Assessment & Migration Program (RAMP)

0 reviews

Google Cloud's Rapid Migration and Modernization Program (RaMP is a comprehensive, end-to-end solution designed to simplify and accelerate the migration and modernization of workloads to Google Cloud. By leveraging Google's expertise and best practices, RaMP provides organizations with a clear roadmap, reduces risks, controls costs, and ensures a seamless transition to the cloud. The program encompasses a structured approach that includes assessment, planning, migration, and optimization phases, enabling businesses to achieve cloud success efficiently. Key Features and Functionality: - Clarity and Roadmap: RaMP offers data-driven discovery and analytics to help organizations understand their IT environment. It provides a detailed roadmap outlining timelines, costs, resources, and potential risks, instilling confidence with a transparent transition plan and cost proposal. - Expertise in Execution: The program delivers best practices through Google Cloud and its partners, including blueprints, governance frameworks, security protocols, and training for personnel and cloud operations. This ensures a confident and well-informed migration process. - Cost and Risk Reduction: RaMP offers flexible proposals tailored to meet budgetary requirements, partner funding from Google Cloud to offset costs, and solution-specific discounts and credits. By utilizing data-driven migration plans, the program effectively lowers both costs and risks associated with cloud migration. - Structured Migration Process: RaMP follows a cyclical approach comprising opportunity evaluation, foundation and planning, migration and validation, and optimization and operation. This structured process ensures a smooth and intelligent migration program, allowing organizations to fine-tune each step for upcoming migrations. Primary Value and Problem Solved: RaMP addresses the complexities and challenges associated with migrating and modernizing workloads to the cloud. By providing a holistic and structured approach, it enables organizations to: - Accelerate Cloud Adoption: RaMP streamlines the migration process, allowing businesses to move workloads to the cloud swiftly and efficiently. - Mitigate Risks: Through comprehensive assessments and planning, the program identifies potential risks and provides strategies to mitigate them, ensuring a secure migration. - Optimize Costs: By offering flexible financial proposals and leveraging Google Cloud's funding and discounts, RaMP helps organizations control and reduce migration expenses. - Enhance Operational Efficiency: The program's structured approach and best practices improve operational efficiency, enabling organizations to focus on innovation and growth in the cloud environment. In summary, Google Cloud's RaMP simplifies the cloud migration journey, providing organizations with the tools, expertise, and support needed to achieve a successful and cost-effective transition to the cloud.

Google Cloud Skaffold

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Skaffold is a command-line tool to facilitate developer productivity by orchestrating continuous development, continuous integration (CI), and continuous delivery (CD).

Google Cloud Spectrum Access System (SAS)

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Google Cloud's Spectrum Access System is a cloud-based service that dynamically manages the Citizens Broadband Radio Service spectrum, facilitating efficient and interference-free wireless communication. By coordinating spectrum access among various users—including fixed wireless, mobile, and private network operators—SAS ensures optimal bandwidth utilization and maximized transmit power. Key Features and Functionality: - Reliability: SAS employs a distributed architecture designed to maintain uninterrupted communication between the system and CBRS devices, ensuring consistent service availability. - EIRP Optimization: The system optimizes the Effective Isotropic Radiated Power for each CBRS device, enhancing network performance and user experience. - Channel Guidance and Spectrum Planning: SAS provides tools for real-time and planned spectrum analysis, utilizing high-resolution geospatial data to estimate power and interference levels, thereby increasing available bandwidth and reducing interference. - Environmental Sensing Capability Network: A robust ESC sensor network along U.S. coastlines detects incumbent federal use of the spectrum, allowing SAS to dynamically adjust allocations and minimize service interruptions. - CBSD Performance Management Tools: A user-friendly, map-based portal enables easy spectrum availability checks, CBSD registration, and network status monitoring. Additionally, rich API communication logs can be analyzed in BigQuery for detailed troubleshooting and custom analytics. Primary Value and User Solutions: Google Cloud's SAS addresses the challenge of efficiently managing shared spectrum access, particularly in the CBRS band. By dynamically coordinating spectrum usage, SAS prevents harmful interference among users, ensuring reliable and high-performance wireless communication. This capability is crucial for: - Fixed Wireless Access : Internet service providers can rapidly and cost-effectively deploy high-speed broadband networks using CBRS spectrum, enhancing data throughput for end-users. - Private Networks: Enterprises, public sector entities, and educational institutions can establish secure, private 4G/5G networks with improved coverage, leveraging CBRS spectrum managed by SAS to avoid interference. - Mobile Networks: Mobile network operators can expand 5G coverage by integrating CBRS spectrum, accelerating the deployment of innovative mobility and broadband solutions. By providing a reliable and intelligent spectrum management solution, Google Cloud's SAS empowers organizations to deploy and operate wireless networks with enhanced efficiency, security, and performance.