The ability to continuously deliver new customer-facing applications and services can mean the difference between sinking or swimming in today’s highly competitive marketplace. Because companies want software delivered faster, they split developers into smaller, more agile teams so they can work in parallel. But when distributed teams have to share the same development and testing environments, parallel development can become highly constrained—creating contention among staff and lab scheduling issues. As a result, teams are forced to wait on each other even with cloud infrastructure because of long provisioning cycles and set up delays.
Migrating application testing to the cloud can not only accelerate your software development cycle, but it can also significantly improve software quality and reduce cost since there won’t be on-premises infrastructure to purchase and manage.
Upcoming webinar: Migrating Testing Environments to the Cloud? How to Calculate the TCO.
Oct 19 at 2pm EST
When considering highly dynamic workloads such as development and test, the cost model for cloud can be very different than for production workloads. The cheapest cloud provider for a static workload may cost you much more than another cloud provider for a dynamic workload.You need to understand all the costs, because accurately calculating the TCO often consists of more than meets the eye.
During this webinar, we’ll examine the elements that play into a TCO calculation. And, you’ll walk away learning how to compare the TCO for different cloud providers.
