Continuous deployment is the mainstay of a DevOps practice. Because accelerated delivery of software services is linked to business growth and innovation, it’s becoming de facto as companies pursue digital transformation.
But if you’re somewhat new to agile-based continuous deployment, you’re probably wondering about things such as app quality, speed and delivery, not to mention how much will getting rid of manual processes save your organization so you can re-invest in innovation?
The cost of failed apps
For a great example of how a major client reaped benefits from the IBM deployment automation tool UrbanCode Deploy, read this case study to learn how Fidelity cut release times from days to hours, saving $2.3 million annually by reducing manual labor, resource wait time and rework.
You can find out how much your organization might be throwing away on fixing deployment errors versus saving with automation by trying this new savings calculator. Looking to justify your department’s investments? The calculator comes in very handy.
What automation can do
If you want to win in today’s marketplace, you’re likely focused on delivering great apps that make your brand and product shine, but how do you do that?
IBM supports full automation features in UrbanCode Deploy for continuous app deployments anytime and anywhere, helping companies get to market faster, simplify their release processes and cut costs while reducing failure rates. UrbanCode Deploy can also deliver your applications to OpenStack, IBM SoftLayer, Amazon, and VMWare with a consistent and portable infrastructure-as-a-service approach.
To see how UrbanCode Deploy actually does all that check out the seven-part, animated guided tour. These short, narrated video segments cover all the standout features that allow you to test and optimize as well as configuring and provisioning clouds.
What’s even better is that UrbanCode supports a wide variety of application types, including distributed, mobile, mainframe and databases. This is especially good news for companies running legacy systems.
Here’s a preview:
The case study, guided tour and the calculator can be found here.
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