AWS Devops Training:
AWS DevOps Training is involves leveraging Amazon Web Services (AWS) to implementAWS DevOps Training practices—like continuous integration (CI), continuous deployment (CD), infrastructure as code (IaC), monitoring, and logging. AWS provides a range of tools and services to help automate and streamline these processes, ensuring efficient software development and delivery.
Key AWS DevOps Services
- AWS CodePipeline: A fully managed CI/CD service that automates the build, test, and deploy phases of the release process.
- AWS CodeBuild: A fully managed build service that compiles source code, runs tests, and produces software packages ready for deployment.
- AWS CodeDeploy: Automates code deployments to any instance, including EC2 instances and on-premises servers.
- AWS CodeCommit: A source control service for hosting secure and scalable Git repositories.
- AWS CloudFormation: Automates infrastructure provisioning using IaC, allowing you to create and manage AWS resources through templates.
- AWS Elastic Beanstalk: An easy-to-use service for deploying and scaling web applications and services.
- AWS CloudWatch: Provides monitoring for AWS resources and applications, with options for setting up alarms and visualizing logs.
- AWS X-Ray: Helps developers analyze and debug distributed applications, such as those built using a microservices architecture.
- AWS Lambda: Supports serverless computing, allowing code to run in response to events, which can be integrated into DevOps pipelines.
Best Practices for AWS DevOps
- Automate Everything: Use tools like AWS CloudFormation and AWS Devops Training to automate deployments, infrastructure, and monitoring.
- Implement CI/CD: Use AWS CodePipeline, CodeBuild, and CodeDeploy to implement a robust CI/CD pipeline.
- Use Infrastructure as Code (IaC): Manage infrastructure using code with AWS CloudFormation or AWS CDK (Cloud Development Kit).
- Monitor and Optimize: Use AWS CloudWatch for monitoring, AWS X-Ray for tracing, and AWS Cost Explorer for optimizing costs.
- Adopt a Microservices Architecture: Leverage container orchestration services like Amazon ECS or EKS, and Lambda for serverless applications.
- Ensure Security and Compliance: Use AWS IAM for managing user permissions, AWS Config for monitoring compliance, and AWS Secrets Manager for handling sensitive data.
Getting Started with AWS DevOps
- Setup AWS Account: Create an AWS account and configure necessary IAM roles and permissions.
- Create a Repository in AWS CodeCommit: Start by creating a Git repository to host your codebase.
- Set Up a CI/CD Pipeline with AWS CodePipeline: Define your source, build, and deployment stages.
- Automate Builds with AWS CodeBuild: Set up build projects to automate the building and testing of your code.
- Deploy Applications with AWS CodeDeploy: Configure deployment strategies (Blue/Green, In-place, etc.) and automate deployments.
- Monitor and Troubleshoot: Use AWS CloudWatch for logs and metrics, and AWS X-Ray for debugging.
course content:
LINUX
- Introduction to Linux
2.Basic Commands - Filesystem Structure
- Package Management
- User and Group Management
6.Shell Scripting
7.Hands-On Labs and Case Studies
AWS
- Introduction to AWS
- AWS Account and IAM (Identity and Access Management)
- Compute Services
Amazon EC2 (Elastic Compute Cloud)
Amazon ECS and EKS - Storage Services
Amazon S3 (Simple Storage Service)
Amazon EBS (Elastic Block Store) - Networking and Content Delivery
Amazon VPC (Virtual Private Cloud)
AWS Route 53 - Databases
Amazon RDS (Relational Database Service)
Amazon DynamoDB
7.Load balancers
ALB
LLB
8.Platform services
CODE commit,code deploy,code build
9.Elastic bean stalk
10.Case Studies and Hands-On Labs
DEVOPS
- Introduction to DevOps
- Version Control Systems
Git
Git hub - Continuous Integration (CI)
- Continuous Delivery and Deployment (CD)
- Infrastructure as Code (IaC)
Using Terraform
Terraform vault - Containerization and Orchestration
Overview of Docker
Kubernetes basics and architecture - Monitoring and Logging
Prometheus, Grafana - Maven
9.Jenkins
10.Sonarqube
11.Jacoco
12.Junit
13.Ansible,awx
14.Real-time Projects-2
15.Docker and Kubernates