Online or onsite, instructor-led live P4 training courses demonstrate through interactive hands-on practice how to configure, execute and manage programmable networking resources using P4.
P4 training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Nagoya onsite live P4 trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Nagoya is the third largest city in Japan. This open office is located in the district surrounding Nagoya station. Since 2015...
Nagoya is the third largest city in Japan. This open office is located in the district surrounding Nagoya station. Since 2015, landmark buildings kept inaugurating around the station and by 2017, it is predictable that many corporations will choose to be in this Meieki area. Furthermore, with the magnetic-levitated linear shinkansen to start service in 2027, Nagoya has strategic advantage.
Nagoya and Aichi area is known for its auto industry like Toyota. Besides automobiles, there are many head offices of Japanese manufacturers. With their affiliated companies and partners located in the same area, the city itself is a business complex. In recent years, forward-thinking IT companies are also trying to get a foothold in Nagoya. Besides all the attention-gathering news on the redevelopment, Meieki area has good access to Tokyo, Osaka and other major cities. It is also convenient for sales activity and commute. Therefore, it is a popular yet practical business district.
This instructor-led, live training in Nagoya (online or onsite) is aimed at networking engineers and developers who wish to configure, execute and manage programmable networking resources using P4.By the end of this training, participants will be able to:
Learn the fundamentals of the P4 language.
Program network devices.
Set up a server for traffic management.
Compile and execute a P4 program to control plane applications.
Manage network congestion using monitoring and debugging methods.
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