Devops Engineer AWS Docker with Kubernetes and Swarm

DevOps Engineer AWS Professional Training will fabricate your DevOps skills with this advanced training course by “Edulogy” Academy. You will learn how to use frequent DevOps samples to develop, maintain, and deploy the applications on Amazon Web Services platform. You will be guided from beginning to end a recommended syllabus created by Amazon Web Services professionals so that you can complete at your own rapidity. In the end, you’ll be able to deploy, operate, and monitor cloud applications more successfully once you will finish the course successfully. AWS services like Amazon Code Guru, AWS Code Pipeline, AWS X-Ray, and others will also be clearer to you.

Edulogy offers industry-best DevOps Engineer – Docker 5 modules training courses with Kubernetes and Swarm demonstrate through interactive discussion and hands-on practice how to set up Docker for developing and deploying containerized applications. Docker training courses cover setup and management of Docker containers, including scaling and orchestration with Kubernetes including docker security management, ideal step-by-step hands-on training course! (online class available)

The Docker Kubernetes Service course is an intense and thorough introduction to Kubernetes concepts and usage. This course will teach all the core concepts related to designing, developing, and deploying an application in Kubernetes, as well as how Kubernetes is integrated into Docker’s enterprise edition product, Docker Universal Control Plane.

Course Key Learning

By the end of this course successful learners will be able to:

• Containerization Fundamentals
• Assess the advantages of a containerized software development & deployment
• Use Docker engine features necessary for running containerized applications
• Utilize Swarm and Kubernetes orchestrators to deploy, maintain, and scale a distributed application
• Schedule Kubernetes-managed workloads across a cluster
• Control and configure Kubernetes networking in Calico
• Manage Kubernetes users
• Deploy and troubleshoot Kubernetes workloads
• Platform availability Linux