4.3 out of 5 stars
(1161 Ratings)
Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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4.4 out of 5 stars
(1169 Ratings)
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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Tenancy
Tenancy for Laravel serves as a foundational framework aimed at enhancing the development process of multi-tenant SaaS applications. It provides a detailed sign-up process that encompasses tenant enrollment and user login through a unified domain. With its integration of Laravel Cashier, it simplifies the billing process, allowing tenants to choose and adjust their subscription plans effortlessly. The project also features a Nova admin panel, which streamlines the management of tenants and domains, complete with pre-built Nova resources. Users have the capability to manage subdomains and introduce custom second-level domains, while integration with ploi.io automates the setup of virtual hosts and HTTPS certificates when new domains are added. The testing framework is meticulously designed to differentiate between central and tenant-specific tests, promoting effective multi-tenancy management without added difficulties. Moreover, the tenant test suite is so well-structured that developers can focus solely on writing tests without the need to consider multi-tenancy intricacies. This makes for a more streamlined and efficient development experience.
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edgeContinuum
edgeContinuum serves as a cloud management platform that enhances OpenStack infrastructure by incorporating self-service capabilities. Utilizing a web interface, API, and Terraform, it enables administrators to provide internal teams or customer tenants with managed Kubernetes clusters, PostgreSQL databases, virtual machines, and application templates. The platform features multi-tenancy controls, such as organizations, projects, roles, quotas, and usage tracking to ensure organized management. It categorizes data centers and edge locations into regions and availability zones, while automating the provisioning and lifecycle operations for both Kubernetes and PostgreSQL. Cloud and managed service providers can leverage it to offer customized infrastructure services, whereas enterprises can facilitate on-demand access for developers while maintaining IT governance. Additionally, the control plane can be deployed in hosted or on-premises configurations, even in air-gapped settings, allowing workloads to operate on the provider's own infrastructure. This flexibility makes it an appealing choice for diverse operational needs.
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