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DevOps and AWS cloud Classes

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Course offered by Gourav Saini

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Pre requisite:

  • You required to have below skills to learn Devops.
  • You should have basic knowledge of Linux.
  • You should know the core concepts of computer operating systems like Linux versions and windows server
  • You should have knowledge of networking.
  • You should be disciplined and focused to learn the DevOps concepts.

Description:

In AWS

  1. VPC
  2. S3
  3. Route53

Web servers:

  1. Nginx
  2. Apache

Compute:

  1. AWS EC2
  2. AWS Lambda

Databases:

  1. AWS RDS
  2. AWS DynamoDB
  3. My SQL
  4. MongoDB

Storage:

  1. AWS Backup
  2. S3
  3. EBS
  4. EFS

Management:

  1. AWS AutoScaling
  2. AWS Load Balancer
  3. AWS CloudWatch

Operating Systems:

  1. Ubuntu
  2. Amazon Linux 2
  3. Centos 7/8

Security & Identity:

  1. AWS IAM
  2. AWS Certificate Manager (for SSL valid Certificate)

Application Integration:

  1. Simple Notification Service
  2. Simple Queue Service

CI/CD & Automation:

  1. Jenkins
  2. Docker
  3. Kubernetes
  4. Shell Script

Monitoring:

  1. Prometheus
  2. Grafana
  3. DataDog

Source Code Management:

  1. GIT
  2. GitHub
  3. Bitbucket

You'll be learning more than 15 services of AWS and 8-9 tools of DevOps which will complete the course in 2.5 months maximum. Each topic/service/tool will contain hands-on lab & theory.

You'll be prepared for the AWS Solution Architect Certificate exam however you will have this much confidence that you can easily crack the AWS cloud practitioner Exam at least.

One-day theory and then one-day hands-on lab on that service you will be taught.

If you find any issue in your lab.

About the Trainer

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3 Courses

Gourav Saini

Bachelor of Computer Applications (B.C.A.) from University of Rajasthan in 2013

3 Years of Experience

I have 3 years of experience in DevOps and 2 years of experience in AWS. I have worked on many infrastructures where implemented AWS services, CI/CD, and Automation (using Shell script/ Python script). I Work on DevOps tools such as Jenkins as CI/CD Grafana, Prometheus as monitoring Docker as containerization Kubernetes as Orchestration AWS as Cloud SQL, Mongo as Database etc.

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