The "cloud" means many things. There's the "private cloud", which is when IT virtualizes physical servers into virtual machines within the corporate datacenter. Then there's the "public cloud", which is when IT places virtual machines into cloud service provides such as Amazon Web Services (AWS). Siemens supports Teamcenter running in both the "private cloud" using VMware and the "public cloud" using AWS. This article focuses on running Teamcenter in AWS, here-on simply referred to as "the cloud".
With Teamcenter on the cloud, Siemens is accelerating PLM deployment so you can quickly realize value from your PLM investment. Deploying enterprise applications, like PLM, is not a small project and it can’t be done overnight. Deploying Teamcenter on the cloud allows you to get up and running quicker without significant infrastructure investments upfront. It provides flexibility to quickly scale your deployment when the need arises and significantly reduces your PLM capital expenditures. It also make it easier to extend the reach of PLM and to anyone anywhere throughout your enterprise.
Teamcenter on the cloud is offered with the Infrastructure as a Service (IaaS) model so you can reduce your IT burden and manage your costs. This approach simplifies your Teamcenter deployment by working with best-in-class cloud service providers (such AWS) and deployment partners (such as Acuity). For example, we're able to leverage AWS cloud formation scripts as a template to quickly deploy instances of Teamcenter on the cloud, reducing a standard Rapid Start deployment from days to hours.
Scalability and Reach
With traditional on-premises deployment it can be a time-consuming hassle to acquire new hardware or reallocate existing hardware when the need arises to scale up your Teamcenter servers. Typically hardware is purchased with future needs in mind, so you end up with expensive hardware that are underutilized at first, which over time then becomes over-burdened. With Teamcenter on the cloud, it takes only minutes to stop the current instance, change it to a larger (or smaller) cloud instance and restart it, to address your changing capacity needs. Your IT team can even adjust the size and scale of your cloud deployment from their mobile devices. Teamcenter on the cloud also enables quickly deploying additional instances of Teamcenter data caches around the globe to extend your Teamcenter reach and ensure the best performance. With Teamcenter on the cloud, you have a nimble Teamcenter deployment that can adapt to your changing needs.
Deploying Teamcenter on the cloud significantly reduce your capital expenditures. With the Infrastructure as a Service model, you reduce or remove upfront capital expense in hardware and infrastructure by outsourcing it to AWS. This allows you to convert your capital expense into operating expense.
In summary, deploying Teamcenter on the cloud allows you to accelerate your PLM deployment, provides scalability as needs change, extends your PLM reach, and can reduce you capital expenses. Please feel free to contact us for more information.