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Java IoT: News Item

Deployit 3.0 Enhances Deployment Automation

XebiaLabs recently launched a new version of its deployment automation software.

XebiaLabs recently launched a new version of its deployment automation software. Deployit 3.0 promises to take away the risks associated with manual or scripted Java deployments, as well as out-of-date procedures. The end result: more productive DevOps teams.

Coert Baart, CEO, XebiaLabs, rightly points out that the escalating adoption of virtualization and cloud computing is causing increasingly complex application deployments -- especially with roles of development and operations teams crossing over.

“Issues of virtual sprawl, lengthy scripts, and error-prone manual processes become all the more burdensome for companies tackling deployments without the right technologies in place,” Baart says. “With Deployit 3.0, companies can relieve these burdens and achieve the productivity they need in today’s increasingly dynamic markets.”



Removing the red tape
Deployit 3.0 works to remove the complexity of managing deployments. Here’s the secret sauce: the ability to work with large numbers of applications and servers and manage large environments. XebiaLabs says the additional insight into configuration items and deployments empowers companies to implement secure, self-service deployments that set the stage for continuous deployment scenarios.

Deployit 3.0 executes multiple deployments at the same time with one mouse click. Additional new features in Deployit 3.0 include a new, user-friendly interface, Python command-line interface, and Maven plugin, as well as the ability to compare packages, servers and applications.

“At BGPI, part of Crédit Agricole, we constantly aim to deliver the best private banking services to our clients at competitive cost levels. However, too many errors in the deployment phase caused an increase in downtime for critical applications, leading to higher costs for our IT organization,” says Xavier Daguerre, Development Manager at BGPI. “With Deployit, we managed to significantly reduce the number of errors, as well as the time needed to deploy new applications or features. This contributed to lower deployment costs and overall, a higher business responsiveness.”

BriefingsDirect contributor Jennifer LeClaire provided editorial assistance and research on this post. She can be reached at http://www.linkedin.com/in/jleclaire and http://www.jenniferleclaire.com.

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