WEBINAR: A recipe for success: predictable application migration planning

Date: Wednesday, April 30, 2014
Time: 14:00 UTC | 10:00 am (New York) | 4:00 pm (Paris) | 7:30 pm (Mumbai)

Fear of the unknown makes change scary for everyone – including application development teams. When it comes to application migrations, knowing what you’re up against from the start reduces angst, makes the process go more smoothly, and turns your migrations into a strategic initiative.

Red Hat has a mature step-by-step approach – in terms of time, cost, and effort – to get your applications into production. This scalable approach engages your development team early to evaluate your current workloads, prioritize the easiest applications to move, and establish a repeatable process to strategically and efficiently migrate your most complex apps.

Join this webinar to hear real-life use cases of how Red Hat is using this application migration approach to help both public sector and commercial customers:

• Build a more predictable migration
• Speed up the migration process
• Prioritize applications for mgiration
• Free up their development teams
• Reduce migration risk
• Achieve buy-in from internal stakeholders

Register here.

Speakers:
Bill Pulec, Consulting Delivery Manager,  Red Hat
Bill specializes in migration planning, design, and implementation. He has led numerous successful migrations. Bill is a Red Hat Certified JBoss Administrator for Red Hat JBoss Enterprise Application Platform.

Avi Ghosh, Consulting Middleware team, Red Hat
Avi specializes in JBoss enterprise application migrations from Weblogic/Websphere. He has expertise on middleware technologies and in hands-on implementation of components at every application tier. Avi is an enthusiastic advocate of Red Hat Consulting’s mentoring model. He strives to empower others by sharing his in-depth knowledge of best practices and standards in open source software development and repeatable design patterns.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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