As large organizations become increasingly dependent on software to stay competitive, application complexity grows. As this happens, managing deployments manually becomes more difficult and slows down the pace of business.
Join Amy DeMartine, Sr. Analyst at Forrester research and Rohit (RJ) Jainendra, Chief Product Officer at Electric Cloud, as they discuss:
- How Application Release Automation (ARA) solutions eliminate error-prone manual work, decrease risk and increase uptime
- The critical features required from an ARA solution to help Infrastructure and Operations teams in large organizations overcome modern service delivery challenges
- Tips, best-practices and tools for overcoming the challenges of ARA at scale
Recorded: Tuesday, June 30th , 2015
SLIDES
[seoslides embed_id=”9a74743c6933″ script_src=”https://devops.com/embed-script/ara-electric-cloud/8309/” overview_src=”https://devops.com/slides/ara-electric-cloud/” site_src=”https://devops.com” site_title=”DevOps.com” title=”ARA- Electric Cloud” /]
Your Host:
Alan Shimel, Editor-in-Chief of DevOps.com. An often-cited personality in the security and technology community and a sought-after speaker at industry and government events. Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.
Panelists:
Amy DeMartine is a member of Forrester’s Service Delivery team. Amy’s current research is the strategy, design, organization, and implementation of modern service delivery created through methods such as DevOps and resulting in continuous delivery. Amy holds a master’s degree in Telecommunications and a bachelor’s degree in Electrical and Computer Engineering from the University of Colorado.
Rohit Jainendra engages with customers to drive Electric Cloud’s product roadmap and leads the product teams which design, build and deliver products that accelerate the software delivery process. RJ previously served as Vice President at Serena Software and was Chief Architect at Rubiconsoft. RJ holds a Master of Science degree in Computer Science from the University of Wisconsin and a Bachelor of Science degree in Computer Science from Angelo State University.
