The course is part of this learning path
AWS Systems Manager helps you automatically implement complex workflows related to your machine deployment, configuration, and life cycle. In this course, you will learn about AWS Systems Manager and how it allows you to manage your machine fleet at scale in AWS, your own data center, or even other cloud platforms.
- Understand the fundamentals of AWS Systems Manager operations
- Learn how to the use the run command and parameter store in Systems Manager
- Learn how to schedule tasks through maintenance windows
This course is intended for architects, developers, and system operators looking for a unified, scalable and secure way to automate their machine maintenance workflows for multiple operating systems and for Amazon EC2 instances.
To get the most out of this course, you should meet the requirements for the AWS Cloud Practitioner certification and preferably one of the AWS associate-level certifications.
Once you configure a managed instance by having the systems manager agent configured and you have assigned a systems manager access role, you can go to the Systems Manager console and under the “Node Management” section you will see the “Fleet Manager” feature.
All your managed instances will be displayed in this console. Fleet Manager will give you visibility into the details of each managed instance including Instance ID, Platform Type, Instance Type, OS Name, IP Address, and SSM Agent version among others.
Being able to see your managed instance fleet on a single display is very useful.
Under the “Node Management” section of Systems Manager, you will notice the session manager feature. The session manager is a fully managed capability that lets you connect to any managed instance using an interactive browser shell login for Linux, Windows, and MacOS instances.
It requires no open inbound ports and no need to manage bastion hosts or SSH keys for connectivity to your instances.
You also don’t need SSH clients for Linux or RDP clients for windows when using Session Manager. Communication between session manager and instances is secure and session manager tracks all commands and output produced in a session that can be dispatched to CloudTrail, CloudWatch, or an Amazon S3 bucket as a result.
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).