Reducing Software Licensing Costs in Virtual & Cloud Infrastructure with Smarter VM Placements
Duration: 60 minutes
Most organizations that license software such as Windows, SQL Server and Oracle on a per processor or per host basis are spending far more than is required on licensing. Because VM placements are typically driven by basic utilization criteria, and not more sophisticated business or technical policies, these software components tend to spread randomly across physical servers, necessitating a large licensing footprint. This creates an opportunity to save in excess of 50% of existing costs, but achieving this requires a fundamental shift in how VM placements are managed within virtual environments. Join CiRBA CTO & co-founder Andrew Hillier to learn how to contain licenses and control costs with predictive analytics that profile workloads to optimize placements by both:
Intelligently combining VMs requiring specific software licenses on common hosts in order to minimize the total licensing requirements
Optimizing overall VM density, including both licensed and unlicensed components, in order to reduce the physical hardware requirements
Andrew will also outline strategies and approaches for:
How to factor other policy considerations into workload placement decisions, including service levels, regulatory requirements, DR and HA strategies, in order to achieve greater control, efficiency and lower risk within infrastructure.
How to maintain and control licenses and density on an ongoing basis as workloads come and go from virtual and cloud infrastructure.