Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Google Cloud Platform
Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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WellArchitect
WellArchitect, created in collaboration with Baker Hughes Company, serves as a sophisticated system for well planning and survey management, designed to facilitate the integrated planning and drilling of directional well paths, regardless of the presence of earth models. This innovative tool is tailored to effectively manage the complexities of sidetracking, multi-lateral well paths, and re-entry drilling, making it indispensable for personnel across all levels within the industry, both at the office and on-site. The system encompasses trajectory calculations, analyses of target erosion due to positional uncertainties, comprehensive reporting, plotting features, and advanced 3D visualizations. Well paths can be compared against various models, including earth and reservoir models, enhancing decision-making capabilities. Additionally, it integrates robust directional drilling software with cutting-edge visualization technologies and optional reservoir geo-data, marking a significant advancement in the drilling sector. Furthermore, it streamlines the entire process from meticulous planning and survey calculations to efficient data management and collision-risk assessments, ensuring a holistic approach to well operations.
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Diego
The landscape of software deployment has become increasingly complicated due to Kubernetes, AWS, and various observability tools. Diego provides a streamlined solution to ease this burden.
By automating the transition from code to cloud, Diego enables quicker software delivery:
- Develop reliably on a robust cloud infrastructure, including ArgoCD, Kubernetes, and Prometheus.
- Utilize fully operational environments and pipelines with zero configuration needed.
- Significantly reduces months of DevOps efforts and shortens development cycles.
With Diego, you have all the essential tools to deploy containerized applications that are secure, scalable, and resilient in a timely manner, enhancing overall productivity and efficiency.
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