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DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers continuous integration (CI), continuous delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.
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Course Contents
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- Module 0: Course overview
- Module 1: Introduction to DevOps
- Module 2: Infrastructure Automation
- Module 3: AWS Toolkits
- Module 4: Continuous integration and continuous delivery (CI/CD) with development tools
- Module 5: Introduction to Microservices
- Module 6: DevOps and containers
- Module 7: DevOps and serverless computing
- Module 8: Deployment strategies
- Module 9: Automated testing
- Module 10: Security automation
- Module 11: Configuration management
- Module 12: Observability
- Module 13: Reference architecture (Optional module)
- Module 14: Course summary
You have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
You will receive the original course documentation by Amazon Web Services in English language as an e-book.
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Target Group
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- DevOps engineers
- DevOps architects
- Operations engineers
- System administrators
- Developers
-
Knowledge Prerequisites
-
- Previous attendance at the Cloud Operations on AWS or Developing on AWS courses
- Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby, Python
- Intermediate knowledge of administering Linux or Windows systems at the command-line level
- Two or more years of experience provisioning, operating, and managing AWS environments
Practical lab exercises with the AWS environment are part of the training. In order to be able to carry out these successfully, an internet-capable notebook (Windows, Linux, MacOS) is a prerequisite.
Important: Therefore, please bring your notebook to the course! If this is not possible, please contact us in advance. -
Alternatives
-
Book this course together with AWS Jam for DevOps Engineering on AWS – Practical day for team-based learning as DevOps Engineering on AWS with AWS Jam for the discounted price of € 2.485,-.
Module 1: The cloud journey |
Common off-cloud architecture |
Introduction to Cloud Air |
Monolithic architecture |
Migration to the cloud |
Guardrails |
The six R’s of migration |
The Twelve-Factor Application Methodology |
Architectural styles and patterns |
Overview of AWS Services |
Interfacing with AWS Services |
Authentication |
Infrastructure as code and Elastic Beanstalk |
Demonstration: Walk through creating base infrastructure with AWS CloudFormation in the |
AWS console |
Hands-on lab 1: Deploy your monolith application using AWS Elastic Beanstalk |
Module 2: Gaining Agility |
DevOps |
CI/CD |
Application configuration |
Secrets management |
CI/CD Services in AWS |
Demonstration: Demo AWS Secrets Manager |
Module 3: Monolith to MicroServices |
Microservices |
Serverless |
A look at Cloud Air |
Microservices using Lambda and API Gateway |
SAM |
Strangling the Monolith |
Hands-on lab: Using AWS Lambda to develop microservices |
Module 4: Polyglot Persistence & Distributed Complexity |
Polyglot persistence |
DynamoDB best practices |
Distributed complexity |
Step functions |
Module 5: Resilience and Scale |
Decentralized data stores |
Amazon SQS |
Amazon SNS |
Amazon Kinesis Streams |
AWS IoT Message Broker |
Serverless event bus |
Event sourcing and CQRS |
Designing for resilience in the cloud |
Hands-on lab: Exploring the AWS messaging options |
Module 6: Security and Observability |
Serverless Compute with AWS Lambda |
Authentication with Amazon Cognito |
Debugging and traceability |
Hands-on lab: Developing microservices on AWS |
Hands-on lab 8: Automating deployments with Cloud Formation |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.

-
DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers continuous integration (CI), continuous delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.
-
Course Contents
-
- Module 0: Course overview
- Module 1: Introduction to DevOps
- Module 2: Infrastructure Automation
- Module 3: AWS Toolkits
- Module 4: Continuous integration and continuous delivery (CI/CD) with development tools
- Module 5: Introduction to Microservices
- Module 6: DevOps and containers
- Module 7: DevOps and serverless computing
- Module 8: Deployment strategies
- Module 9: Automated testing
- Module 10: Security automation
- Module 11: Configuration management
- Module 12: Observability
- Module 13: Reference architecture (Optional module)
- Module 14: Course summary
You have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
You will receive the original course documentation by Amazon Web Services in English language as an e-book.
-
Target Group
-
- DevOps engineers
- DevOps architects
- Operations engineers
- System administrators
- Developers
-
Knowledge Prerequisites
-
- Previous attendance at the Cloud Operations on AWS or Developing on AWS courses
- Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby, Python
- Intermediate knowledge of administering Linux or Windows systems at the command-line level
- Two or more years of experience provisioning, operating, and managing AWS environments
Practical lab exercises with the AWS environment are part of the training. In order to be able to carry out these successfully, an internet-capable notebook (Windows, Linux, MacOS) is a prerequisite.
Important: Therefore, please bring your notebook to the course! If this is not possible, please contact us in advance. -
Alternatives
-
Book this course together with AWS Jam for DevOps Engineering on AWS – Practical day for team-based learning as DevOps Engineering on AWS with AWS Jam for the discounted price of € 2.485,-.
Module 1: The cloud journey |
Common off-cloud architecture |
Introduction to Cloud Air |
Monolithic architecture |
Migration to the cloud |
Guardrails |
The six R’s of migration |
The Twelve-Factor Application Methodology |
Architectural styles and patterns |
Overview of AWS Services |
Interfacing with AWS Services |
Authentication |
Infrastructure as code and Elastic Beanstalk |
Demonstration: Walk through creating base infrastructure with AWS CloudFormation in the |
AWS console |
Hands-on lab 1: Deploy your monolith application using AWS Elastic Beanstalk |
Module 2: Gaining Agility |
DevOps |
CI/CD |
Application configuration |
Secrets management |
CI/CD Services in AWS |
Demonstration: Demo AWS Secrets Manager |
Module 3: Monolith to MicroServices |
Microservices |
Serverless |
A look at Cloud Air |
Microservices using Lambda and API Gateway |
SAM |
Strangling the Monolith |
Hands-on lab: Using AWS Lambda to develop microservices |
Module 4: Polyglot Persistence & Distributed Complexity |
Polyglot persistence |
DynamoDB best practices |
Distributed complexity |
Step functions |
Module 5: Resilience and Scale |
Decentralized data stores |
Amazon SQS |
Amazon SNS |
Amazon Kinesis Streams |
AWS IoT Message Broker |
Serverless event bus |
Event sourcing and CQRS |
Designing for resilience in the cloud |
Hands-on lab: Exploring the AWS messaging options |
Module 6: Security and Observability |
Serverless Compute with AWS Lambda |
Authentication with Amazon Cognito |
Debugging and traceability |
Hands-on lab: Developing microservices on AWS |
Hands-on lab 8: Automating deployments with Cloud Formation |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
