Course Curriculum

AWS DevOps Course Content

Module 1: Introduction to AWS and DevOps

• Overview of AWS services and cloud computing
• Introduction to DevOps principles and practices
• Understanding the benefits of implementing DevOps on AWS

Module 2: Version Control and Source Code Management with AWS CodeCommit

• Introduction to AWS CodeCommit
• Creating and managing repositories
• Collaborating with team members using CodeCommit
• Integrating CodeCommit with other AWS services

Module 3: Building and Testing Applications with AWS CodeBuild

• Introduction to AWS CodeBuild
• Configuring build environments and build specifications
• Running tests and generating software artifacts
• Integrating CodeBuild with source code repositories and deployment services

Module 4: Continuous Deployment with AWS CodeDeploy

• Introduction to AWS CodeDeploy
• Configuring application deployments
• Blue-green deployments and canary deployments
• Automating rollback and monitoring deployment health

Module 5: Continuous Integration and Delivery with AWS CodePipeline

• Introduction to AWS CodePipeline
• Creating and managing pipelines
• Configuring source, build, test, and deployment stages
• Orchestrating the entire software delivery workflow

Module 6: Infrastructure as Code with AWS CloudFormation

• Introduction to AWS CloudFormation
• Creating and managing CloudFormation stacks
• Defining infrastructure resources using templates
• Automating stack updates and rolling back changes

Module 7: Serverless Computing with AWS Lambda

• Introduction to AWS Lambda
• Creating and deploying Lambda functions
• Integrating Lambda functions with other AWS services
• Designing serverless architectures and event-driven workflows

Module 8: Monitoring and Observability with AWS CloudWatch

• Introduction to AWS CloudWatch
• Collecting and analyzing metrics
• Monitoring logs and setting up alarms
• Using CloudWatch to gain insights into system performance and health

Module 9: Identity and Access Management with AWS IAM

• Introduction to AWS IAM
• Creating and managing users, groups, and roles
• Assigning permissions and managing access control
• Integrating IAM with other AWS services for secure access management

Module 10: Advanced DevOps Topics and Best Practices

• Infrastructure orchestration with AWS Elastic Beanstalk and ECS
• Managing workflows with AWS Step Functions
• Distributed tracing and debugging with AWS X-Ray
• Best practices for security, scalability, and cost optimization in AWS DevOps

Course Overview

AWS DevOps Online Training in Hyderabad, Bangalore, India

AWS (Amazon Web Services) provides a comprehensive set of cloud computing services that can be leveraged to implement DevOps practices. DevOps is a software development approach that combines development (Dev) and operations (Ops) to achieve a more efficient and collaborative software delivery process. AWS offers various services and tools that support the DevOps philosophy. Here are some key AWS services commonly used in DevOps:

1. AWS CodeCommit: A fully managed source code version control service that allows teams to store and manage their code securely in the cloud. It integrates well with other AWS services and supports collaboration among team members.

2. AWS CodeBuild: A fully managed build service that compiles source code, runs tests, and produces software artifacts. It scales automatically and provides a reliable and scalable infrastructure for building and testing applications.

3. AWS CodeDeploy: A service that automates the deployment of applications to various compute environments, such as EC2 instances, Lambda functions, and ECS clusters. It provides flexibility in managing deployments and offers features like automatic rollback and blue-green deployments.

4. AWS CodePipeline: A fully managed continuous integration and continuous delivery (CI/CD) service that enables you to create, automate, and manage software release processes. It integrates with various AWS services and third-party tools to orchestrate the entire software delivery workflow.

5. AWS CloudFormation: A service that allows you to define infrastructure as code using templates. It automates the provisioning and management of AWS resources, enabling you to create reproducible and version-controlled infrastructure deployments.

6. AWS Elastic Beanstalk: A platform as a service (PaaS) offering that simplifies the deployment and management of applications. It supports multiple programming languages and frameworks and handles infrastructure provisioning and scaling automatically.

7. AWS Lambda: A serverless compute service that allows you to run code without provisioning or managing servers. It enables event-driven architectures and supports functions written in various languages.

8. AWS CloudWatch: A monitoring and observability service that provides visibility into your AWS resources and applications. It allows you to collect and track metrics, monitor logs, set alarms, and gain insights into the performance and health of your systems.

9. AWS CloudFormation: A service that allows you to define infrastructure as code using templates. It automates the provisioning and management of AWS resources, enabling you to create reproducible and version-controlled infrastructure deployments.

10. AWS Identity and Access Management (IAM): A service that helps you manage access to AWS resources. IAM enables you to create and manage users, groups, roles, and permissions, ensuring secure access control within your DevOps processes.

These are just a few examples of the many AWS services that can be used to implement DevOps practices. Depending on your specific requirements, you may also leverage additional services like AWS Elastic Container Service (ECS), AWS Step Functions, AWS X-Ray, and more. AWS provides extensive documentation, tutorials, and best practices for integrating its services into a DevOps workflow, helping you streamline and automate your software delivery process on the cloud.

Is AWS DevOps coding?

AWS DevOps involves coding, but it is not solely about coding. DevOps is a software development approach that emphasizes collaboration and integration between development and operations teams to automate and streamline the software delivery process. While coding is an essential part of implementing DevOps practices, it is just one aspect of the overall process.

while coding is a significant component of AWS DevOps, it is just one aspect among many that make up the overall process. DevOps encompasses a combination of coding, automation, infrastructure management, collaboration, and process improvement to enable efficient software delivery on the AWS platform.

What skills are required for AWS DevOps?

To excel in AWS DevOps, you should possess a combination of technical skills, soft skills, and domain knowledge. Here are some key skills that are valuable for AWS DevOps professionals:

1. Cloud Computing and AWS Knowledge: Understand the fundamentals of cloud computing, including concepts like virtualization, storage, networking, and security. Familiarize yourself with AWS services, such as EC2, S3, VPC, IAM, and understand how they fit into the overall cloud architecture.

2. DevOps Principles and Practices: Gain knowledge of DevOps principles, including continuous integration, continuous delivery, infrastructure as code, and automation. Understand the importance of collaboration, communication, and breaking down silos between development and operations teams.

3. Infrastructure as Code (IaC): Learn tools and frameworks like AWS CloudFormation, AWS CDK, Terraform, or Ansible to define, provision, and manage infrastructure resources programmatically. Familiarize yourself with configuration management tools like Chef, Puppet, or SaltStack.

Is Python required for AWS DevOps?

Python is a versatile and widely used programming language that plays a significant role in AWS DevOps. Here's a short description of how Python is relevant to AWS DevOps:

Python for AWS DevOps:

• Automation and Scripting: Python's simplicity and readability make it a popular choice for automating tasks in the DevOps workflow. Python scripts can be used to interact with AWS services, configure infrastructure, and automate various aspects of the software delivery process.

• AWS SDKs and APIs: Python provides extensive support for AWS through software development kits (SDKs) and APIs. The AWS SDK for Python, known as Boto3, allows developers to interact with AWS services programmatically. It simplifies the process of managing AWS resources, configuring services, and deploying applications.

• Infrastructure as Code: Python is often used in combination with infrastructure-as-code tools like AWS CloudFormation and AWS CDK. Python scripts can be used to define and deploy infrastructure resources, enabling you to provision and manage your AWS infrastructure using code.

• Integration with DevOps Tools: Python integrates well with various DevOps tools commonly used in AWS environments. For example, Python scripts can be used with CI/CD tools like Jenkins or GitLab CI/CD to automate build, test, and deployment processes. Python libraries and frameworks also facilitate integrating AWS services with configuration management tools like Ansible or Chef.

• Data Manipulation and Analysis: Python's rich ecosystem of data manipulation and analysis libraries, such as NumPy, pandas, and scikit-learn, can be beneficial in AWS DevOps. These libraries enable data processing, analytics, and reporting tasks, which are essential in monitoring and optimizing DevOps workflows.

• Serverless Computing: AWS Lambda, a serverless compute service, supports Python as one of the primary programming languages. Python developers can write serverless functions using AWS Lambda, allowing for event-driven architectures and scalable serverless applications.

Python's simplicity, flexibility, and vast ecosystem of libraries make it a valuable tool for implementing automation, interacting with AWS services, and managing infrastructure as code in the context of AWS DevOps. Its popularity in the DevOps community and its strong integration with AWS services make Python a go-to language for many AWS DevOps professionals.

Is Linux necessary for AWS DevOps?

Linux is widely used in AWS DevOps due to its stability, scalability, and open-source nature. A solid understanding of Linux commands, administration, scripting, and security is necessary to effectively manage and deploy applications on AWS and integrate them into DevOps workflows.

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Reviews

AWS DevOps Rated 4.3 based on 3 reviews.

By: Yashvi Patel, Rating:
AWS DevOps training met my vision! I quickly mastered the use of AWS tools for automated deployment and smooth transitions. The practical laboratories were essential for developing practical skills. The trainer made sure everyone understood the fundamentals by being understanding and encouraging. Anyone wishing to thrive at devops with AWS should take this course.

By: Mohit Suri, Rating:
I recently completed the AWS DevOps training, and I have to say it was a fantastic learning opportunity. The course material was thorough and covered every important facet of devops on the AWS platform. I heartily urge anyone wishing to improve their devops expertise on AWS to take this course. Your career in the cloud business will surely profit from it, and it is well worth the money.

By: Pradeep, Rating:
I had an amazing experience with the AWS DevOps Online Training from Hyderabad, India. The trainers were knowledgeable and supportive, making complex AWS concepts easy to understand. The course content was well-structured, and the hands-on labs were enlightening. This training has equipped me with the skills and knowledge to excel in AWS architecture. Highly recommended!

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