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.
Learning Objectives
- 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
Intended Audience
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.
Prerequisites
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.
The systems manager “Run command” as the name suggests will permit you to execute a command on one or more of your instances. The complexity of the command or commands to be executed is defined on a Systems Manager Document. Documents define the actions that the agent performs on your instances and are shared resources in the systems manager console.
Documents are written in JSON or YAML. They can be re-used and accept parameters. With a document, you can run a shell script or perform any administrative task on a managed instance. There are dozens of pre-fabricated documents you can clone and modify or use as is. A commonly used document with the Run command is the “AWS-RunShellScript” document.
In general, the Run command will require that you specify a document and specify the target instances where the document is to be executed. For any particular instance you see a status of a particular application as well as the output of a particular command on that instance.
If the number of instances is large, the run command also allows you to define a Rate Control.
The rate control configuration for the run command uses concurrency to specify the number of targets on which to execute the document at the same time. Also, it uses an Error threshold which indicates to stop the task after it fails on the specified number of instances.
Output options write command output to an Amazon S3 bucket or send command output to Amazon CloudWatch logs. You can also configure systems manager to send notifications about command status using Amazon SNS.
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).