AWS Systems Manager
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.
Hello and welcome to this Cloud Academy presentation. A little bit about myself, I’m Jorge Negrón and I’m part of the AWS Content development team here at Cloud Academy.
In this course, you will be presented with AWS Systems Manager as a collection of features that will permit you to manage your machine fleet at scale in AWS, your own data center or even other cloud platforms. AWS Systems Manager helps you automatically implement complex workflows related to your machine deployment, configuration, and life cycle. You can view and control your infrastructure from a single point of management, As of this writing, AWS Systems Manager includes over 20 different features, all of them intended to permit you to consolidate your operations into dashboards supporting Linux, Windows and MacOS operating systems. Dashboards provide contextual information, guidance, and solution steps to common issues like software updates and patches.
We will discuss AWS Systems Manager features including the systems manager agent software that is required. We also discuss the Systems Manager Run Command, Systems Manager Documents, Parameter Store, and Maintenance Windows. These are fundamental resources to the features of AWS Systems Manager.
If you have any questions about the material being discussed, please, feel free to contact me email@example.com with any questions using the details shown on the screen, as an alternative, you can always get in touch with us here at Cloud Academy by sending an email to firstname.lastname@example.org where one of our Cloud experts will reply to your question.
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. This course also covers some of the objectives for both the solutions architect associate certification exam and SysOps administrator associate certification exam.
In this course, you will learn what Systems Manager is and how systems manager is set up to connect and execute commands remotely on one or multiple managed instances. The process can be applied to any number of machines, in the hinders or thousands if needed.
In order to get the most out of this course, you will need to meet the requirements for the AWS cloud practitioner certification and preferably one of the AWS associate-level certifications.
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Please note that, at the time of writing this content, all course information was accurate. AWS implements hundreds of updates every month as part of its ongoing drive to innovate and enhance its services. As a result, minor discrepancies may appear in the course content over time. Here at Cloud Academy, we strive to keep our content up to date in order to provide the best training available. So, if you notice any information that is outdated, please contact firstname.lastname@example.org. This will allow us to update the course during its next release cycle.
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).