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 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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OpenStack
OpenStack serves as a cloud operating system that manages extensive collections of compute, storage, and networking resources across a datacenter, all facilitated through APIs that utilize unified authentication methods. It also features a dashboard that enables administrators to oversee operations while allowing users to allocate resources via a web interface. In addition to basic infrastructure-as-a-service capabilities, various components offer orchestration, fault management, and service management, among other features, to guarantee the high availability of applications utilized by users. OpenStack is modular, consisting of various services that allow for the flexible integration of components based on specific requirements. The OpenStack map provides a comprehensive overview of the ecosystem, illustrating how these services interconnect and collaborate effectively. This modular approach not only enhances customization but also paves the way for seamless scalability within the cloud infrastructure.
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Nife
Nife serves as a cohesive operating framework for cloud, edge, and AI systems, empowering engineering teams to deploy, oversee, and scale applications seamlessly across diverse environments such as public cloud, edge, Kubernetes, bare-metal, and private infrastructures from a single control interface. By integrating application delivery, infrastructure oversight, cost transparency, and built-in AI Site Reliability Engineering (SRE), Nife enhances operational efficiency. Teams can initiate deployments from Git, Docker, or source code, manage applications, clusters, and virtual machines, and execute multi-region workloads. Furthermore, Nife facilitates incident investigation and resolution through AI SRE, optimizes cloud expenditure, and ensures comprehensive monitoring, logging, alerting, and observability throughout their infrastructure. Overall, Nife streamlines the complexities of modern application deployment and management, making it an essential tool for teams aiming to enhance their operational performance.
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