AWS Systems Manager
The course is part of this learning path
In this course, you will be introduced to AWS Systems Manager and learn how the Systems Manager service helps you automatically implement complex workflows related to your machine setup, maintenance, and life cycle. It also covers Systems Manager features including requirements and building blocks like the Systems Manager Agent, Resource Groups, Instance Roles, Hybrid Activations, Fleet Manager, and Session Manager.
- Learn what Systems Manager can do in terms of features and capabilities
- Understand the conditions and requirements to use Systems Manager effectively for your daily maintenance and machine life cycle management
- Architects, developers, system operators, and administrators looking for a unified, consistent, reliable, scalable, and secure way to automate their machine maintenance workflows
- Anyone studying for the Solutions Architect Associate Certification Exam and the SysOps Administrator Associate Certification Exam
In order to get the most out of this course, you should meet the requirements for the cloud practitioner certification and preferably one of the AWS associate-level certifications.
So, in summary, in this course we discussed what Systems Manager can do in terms of features and capabilities. We also discussed the conditions and requirements to use Systems Manager effectively, what is needed to define a managed instance and how to examine manage instances using the fleet manager. We also discussed how to connect to a manage instance using the session manager feature. For Cloud Academy, this is Jorge Negron. Thanks for watching.
Experienced in architecture and delivery of cloud-based solutions, the development, and delivery of technical training, defining requirements, use cases, and validating architectures for results. Excellent leadership, communication, and presentation skills with attention to details. Hands-on administration/development experience with the ability to mentor and train current & emerging technologies, (Cloud, ML, IoT, Microservices, Big Data & Analytics).