The course is part of this learning path
In this course, we discuss planning for data recovery, including disaster recovery of SAP workloads in AWS. We present and discuss some of the design and best practices gathered by AWS customers, AWS Experts, and SAP Specialists running SAP workloads on AWS.
Learning Objectives
We introduce best practices for business continuity and disaster recovery related to SAP workloads on AWS. The recommendations are aligned with the Reliability pillar of the Well-Architected Framework and focus on planning for data protection and recovery of SAP solutions implemented using AWS services.
Intended Audience
This course is intended for SAP architects and SAP Operators who deploy and maintain SAP workloads on AWS. This course also aligns with the objectives of the AWS Certified: SAP on AWS Specialty (PAS-C01) exam.
Prerequisites
To get the most from this course, you will need to meet the requirements for the AWS Solutions Architect Associate or AWS SysOps Associate certifications or the equivalent experience. This includes the function, anatomy, and operation of core AWS services that are relevant to SAP implementations, such as:
- The AWS global infrastructure, Amazon VPCs, Amazon EC2, EBS, EFS, S3, Glacier, IAM, CloudWatch, CloudTrail, the AWS CLI, Amazon Route 53
- The Well-Architected Framework
It is also assumed that you are familiar with SAP software workloads and their implementation. SAP is well known for enterprise resource planning (ERP) applications, including SAP Business Suite, SAP Net weaver, SAP S/4HANA solutions, and supporting products.
Business Continuity and Disaster Recovery for SAP on AWS. Hello and welcome to this Cloud Academy presentation. A little bit about myself. I'm Jorge Negron and I'm part of the AWS Content Development team here at Cloud Academy. In this course, we discuss planning for data recovery including disaster recovery of SAP workloads in AWS. We present and discuss some of the design and best practices gathered by AWS customers, AWS Experts, and SAP Specialists running SAP workloads on AWS.
Who should attend this course? This course is intended for SAP Architects and SAP Operators who deploy and maintain SAP workloads on AWS. This course also aligns with the objectives of the AWS certified: SAP on AWS-Specialty exam. In terms of learning objectives, we introduce best practices for business continuity and disaster recovery as it relates to SAP workloads on AWS. The recommendations are aligned with the reliability pillar of the well-architected framework and focus on planning for data protection and recovery of SAP solutions using AWS services.
In terms of prerequisites, to get the most out of this course, you will need to meet the requirements for the AWS Solutions Architect Associate or the AWS SysOps Associate certifications or have the equivalent experience. This includes the function and anatomy and operation of some AWS course services that are relevant to SAP implementations such as the AWS Global Infrastructure, Amazon VPCs, Amazon EC2 Instances, Elastic Block Stores, Elastic File Systems, Amazon S3, Amazon Glacier, Identity and Access Management, Amazon CloudWatch, CloudTrail, the AWS CLI, Amazon Route 53, and of course, the well-architected framework.
It is also assumed that you're familiar with SAP software workloads and their implementation. SAP is well known for enterprise resource planning as well as some products including SAP business suites, SAP NetWeaver, SAP S/4HANA solutions, and supporting products. When it comes to feedback here at Cloud Academy, we strive to keep our content current to provide the best training available. If you have any feedback, positive or otherwise, or if you notice anything that needs to be updated or corrected for the next release cycle, please reach out to us by writing to support@cloudacademy.com. Thank you.
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).