Network automation 101: Getting started with network automation
Networks have already begun to adapt to meet the next generation of needs as digital transformation accelerates to include better connectivity across remote locations, programmability of campus and datacenter networks, and of course hybrid cloud modernizations. As these transformations take place, networks become even more essential and increase in size and complexity. Manual processes and operations will not be able to keep pace, and so companies are increasing their network automation efforts to respond faster to business needs, increase efficiency, reduce unexpected downtime, control costs and unburden valuable resources for more transformative work. But where do you start and what technologies can provide you the most flexibility? Join this session to learn how Red Hat® Ansible® Automation Platform can help to automate full network processes instead of just one sliver of network operations.
Palestrantes
Dafne Mendoza | Principal Technical Marketing Manager, Red Hat
Dafné Mendoza is a Principal Technical Marketing Manager for Red Hat Ansible Automation Platform business unit. Prior to Red Hat, Dafné worked at Cisco Systems, supporting service providers customers across the United States, Canada and Latin America to design, implement, and adopt automation, orchestration, and network management solutions. She brings more than 10 years of experience in the IT field with specializations in DevNet, Information Technology Infrastructure Library (ITIL), scrum, consulting, networking, and automation.
Trishna Guha | Manager, Software Engineering, Red Hat
Trishna is the engineering manager for Ansible Automation Platform Network and Security Engineering team as well as the Ansible Developer Tools team. Prior to this Trishna has been Senior Software Engineer with specialization in the areas of design and development across the life cycle, including developing new features, bug fixes, releasing products and more. She brings more than six years of experience in software engineering.