Cloud Deployment for the Best EDA Workspace

Cloud deployment involve SaaS, PaaS, and IaaS solution management. There are two methods that organizations typically follow: 

1. A community cloud or public cloud model. 
2. A private cloud deployment model (often deployed by a single entity).

The cloud deployment model is specifically related to how environmental parameters are configured for infrastructure deployment and accomplished through the following methods:

• A public cloud owned by a third-party and available to anyone through cloud service providers (CSPs).
• A private cloud (also offered by CSPs) with additional security and other customizable options.
• Community clouds allowing similar organizations to work together and reduce costs. 
• A hybrid cloud using a combination of these methods. 

For large corporations that have substantial on-premises infrastructure, a common approach to leverage cloud for peak needs is through a hybrid configuration. However, hybrid solutions are complex to setup and manage. To enable hybrid cloud solutions, corporate IT teams work with CSPs to deploy IaaS or PaaS.

Startups and smaller companies typically want to take a born-in-the-cloud approach for their computing needs. This trend is becoming more common as it lowers the capital expenditure while helping these companies to be more agile. This generally fits the PaaS deployment model, as it offloads the management of infrastructure to the cloud providers. Also, these companies prefer to use the software as a service (SaaS) deployment option to minimize overhead of purchasing and maintaining software to run on cloud infrastructure.

For EDA, specifically, there are significant benefits in choosing SaaS over other traditional methods.

One such benefit is scalability. SaaS users can be added or subtracted to meet developmental needs without increased capital investments or additional hardware or software requirements. This can alleviate bottlenecks in development where too few seats and resources for computation during peak developmental times are available. Likewise, SaaS deployments can save resources that otherwise would be wasted during non-peak periods.

With SaaS, Paas, or IaaS solutions, end-user provisioning can occur based on preconfigured permissions, ensuring all users have access to the data they need based on their role.