Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts.
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Setyl is an IT asset and license management platform (ITAM) that combines hardware and software asset management in one.
The platform integrates with 100+ systems, including Microsoft, Google, MDM, RMM, IAM, SSO, HR, helpdesk tools, and more.
Use Setyl to gain full visibility and control over your IT assets, SaaS applications, software licenses, users, vendors, and spend in one place — helping you:
✓ Automate and scale daily IT operations, including inventory management and user on/offboarding.
✓ Identify and cut wasted IT spend.
✓ Prepare for audits and stay compliant, including with SOC 2 and ISO 27001.
With an intuitive interface, native integrations, and one-on-one support at every step, the platform is fast to deploy, easy to use, and built for collaboration.
Features include: IT asset and license inventory, full asset lifecycle management, software renewal management, license rightsizing, employee onboarding and offboarding, vendor audits, and spend tracking.
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SAS Grid Manager
SAS Grid Manager helps organizations outcompete by outcomputing, meeting peak computing demands reliably and cost-effectively through a flexible, centrally managed grid computing environment. It gives IT the flexibility to meet service level commitments by reassigning computing resources to peak workloads or changing business demands, with a central point of control to administer policies, programs, queues, and job prioritization across users and applications. In a grid computing environment with multiple servers, jobs can run on the best available resource, and if a server fails, jobs can transition seamlessly to another server. IT staff can perform maintenance on specific servers or introduce additional computing resources without interrupting analytics jobs or disrupting the business. SAS Grid Manager also supports diverse analytics ecosystems by managing jobs in SAS and other languages, helping analytics run quickly.
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