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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Planview Enterprise One™, which integrates business and technology planning, optimizes all resources, and delivers breakthrough products, services and customer experiences, enables strategic execution to be accelerated. Manage and deliver across all types and technology of work and application portfolios. Transform business requirements into standards that meet strategic objectives. This will reduce cost and mitigate risk. A complete approach to all types of work, including agile, iterative, traditional, and collaborative. Keep teams productive by balancing work and resources. Maximize your use of resources. A scalable user experience ensures that everyone is focused on the right priorities in order to achieve the desired outcomes. Ensure on-time, on-budget project delivery. Projects and people can stay on track with milestones and schedules. Dashboards provide performance insight.
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Parquantix
Designed specifically for AWS Partners and customers, Parquantix stands out as a premier strategic ally for organizations aiming to effectively monitor, analyze, and optimize their AWS usage in real-time through our AI-powered tool, ensuring optimal deployment of AWS resources at all times. Our platform enhances cloud compute and database efficiency by facilitating the active procurement and management of reserved instances and savings plans. With our AI-driven software, businesses can achieve savings of up to 60% when compared to standard on-demand pricing. For eligible partners, we offer to cover the upfront costs for reserved instances and savings plans, spreading the expense across their entire lifespan. Partners have the flexibility to retain reserved instances only for the duration needed, avoiding the restrictions of lengthy 1 or 3-year contracts. Additionally, they can sell any unused reserved instances on the AWS Marketplace and upgrade to the latest generation instances to optimize price performance. No matter your industry, whether in technology, e-commerce, or media, the absence of an automated optimization solution likely means you're incurring unnecessary cloud expenditures. Embracing our service can lead to significant cost reductions and improved resource management.
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CAST AI
CAST AI significantly reduces your compute costs with automated cost management and optimization. Within minutes, you can quickly optimize your GKE clusters thanks to real-time autoscaling up and down, rightsizing, spot instance automation, selection of most cost-efficient instances, and more.
What you see is what you get – you can find out what your savings will look like with the Savings Report available in the free plan with K8s cost monitoring. Enabling the automation will deliver reported savings to you within minutes and keep the cluster optimized.
The platform understands what your application needs at any given time and uses that to implement real-time changes for best cost and performance. It isn’t just a recommendation engine.
CAST AI uses automation to reduce the operational costs of cloud services and enables you to focus on building great products instead of worrying about the cloud infrastructure.
Companies that use CAST AI benefit from higher profit margins without any additional work thanks to the efficient use of engineering resources and greater control of cloud environments. As a direct result of optimization, CAST AI clients save an average of 63% on their Kubernetes cloud bills.
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