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Microsoft Azure DevOps Solutions Az 400 Training in Chennai

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Azure Training in Chennai

Azure Certified DevOps Engineer course mainly focuses on hands-on experience with DevOps technologies and tools, along with spreading knowledge about DevOps and Agile processes. Microsoft Certified Azure DevOps professionals are responsible for combining people, processes, and technologies to continuously deliver valuable products and services that meet end-user needs and business objectives. As a role-based certification, Microsoft Certified DevOps Engineer Expert AZ-400 training and certification is aimed at reflecting the Azure DevOps Engineer job role and therefore demonstrates that you have sufficient knowledge and skills to work in that capacity.

In this Azure DevOps training, we introduce Azure DevOps services to the DevOps teams and take them through various Azure DevOps features one by one. The focus of this corporate training on Azure DevOps is not only on learning the fundamentals but also about how to integrate various Microsoft dev tools and other third-party DevOps tools with Azure pipeline. The training on Azure DevOps is totally hands-on. All the concepts of Azure DevOps will be demonstrated in the training with proper demos and mini-projects. The Azure DevOps training for enterprises is normally further customised based on the requirements of the team.

SYLLABUS

SECTION 1 :Introduction to AWS:

  • Overview of AWS services and their global infrastructure.
  • Understanding about cloud computing compare to previous.
  • Free-tier account creation and console.

SECTION 2 :Compute (EC2)

  • AWS EC2 instance creation
  • Website creation in both Linux and Windows
  • Instance purchasing options and Instance types
  • Create AMI image and restoring instance from image
  • Moving AMI across regions
  • Launch template and user creation.

SECTION 3 :Storage

  • EBS (Elastic block storage)
  • EBS volume types and snapshots
  • EFS (Elastic file storage)
  • S3 (Simple storage service)
  • Glacier (Archival storage)

SECTION 4 :Networking (VPC)

  • VPC creation & connection
  • IGW – Internet gateway and Route table
  • VPC nat-gateway for private subnets
  • VPC endpoint and Elastic IP
  • VPC flowlog

SECTION 5 :Vpc-connectivity

  • vpc-peering connection
  • vpc peering with different region

SECTION 6 :Vpn-setup

  • vpn-connection
  • Openvpn setup

    SECTION 7 :Aws-cli

    • Instance creation using cli
    • Volume creation, snapshot
    • Attach, detach volumes

    SECTION 8 :Object-storage (S3)

    • S3 bucket, object creation
    • S3 bucket properties & accessing s3 through console
    • Life cycle management and Replication

    SECTION 9 :

    • Glacier
    • creating vault storage
    • uploading, downloading archival datas in Glacier

    SECTION 10 :

    • Glacier
    • creating vault storage
    • uploading, downloading archival datas in Glacier

    Interview preparation

    • with real time scenarios and architecture related preparations!

      Compute (EC2)

      • AWS EC2 instance creation
      • Instance upgrading
      • Website creation in both Linux and Windows
      • Create AMI image and restoring instance from image

      Storage

      • EBS
      • EBS volume types
      • EFS (NFS)

      Networking (VPC)

      • VPC creation & connection
      • VPC with nat instance
      • VPC nat-gatway
      • VPC endpoint
      • VPC flowlog

      vpc-connectivity

      • vpc-peering connection
      • vpc peering with diff account

      vpn-setup

      • vpn-connection
      • vpc-peering &openvpn setup

      aws-cli

      • instance creation using cli
      • volume creation,snapshot
      • attach,detach volumes

        Terraform

        • Familiarizing IntelliJ IDE
        • Terraform concepts Init, Plan, apply, destroy
        • Terraform providers
        • Terraform states Local, Remote, S3, Dynamodb
        • Input and output variables
        • Terraform built-in functions
        • Deep diving modules and creating own modules
        • Terraform expressions
        • Deploying AWS services using terraform
        • Building Terraform real-time environment DEV, ACCEPTANCE, PRODUCTION

        Python for boto3 lambda

        • Python variables and types
        • Operators
        • String operations
        • Lists
        • Conditional statements
        • Looping statements
        • Dictionary
        • Objects and classes
        • Functions
        • Using boto3
        • Practicing lambda operations

        Glacier

        • creating vault storage
        • uploading,downloading data through aws-cli

        Interview preparation

        • with real time scenarios and architecture related preparations!

          Elastic Loadbalancer(ELB)

          • classic elb creation & setup webservers
          • High availability setup with autoscaling
          • ALB complete setup with multi-website hosting

          Route53

          • Domain registration & Route53 record set maintain
          • subdomain creation.
          • Route53 route policies across the glob

          Rds (Relational Database)

          • Db engine creation & connect with webservers
          • M-Z Read Replica setup
          • Mysql Master-Slave setup different Regions
          • mysql logs & Restoring through S3 bucket

          CloudFront – CDN

          • setting up Cloudfront from websits & speedup

          Aws Messaging Services

          • SNS,SQS,SES

          IAM (identity Access Management)

          • Access Management for aws console
          • Roles, policies
          • Multi factor Authentication

          KMS

          • Keymanagement for aws securing storages

          CloudTrail

          • auditing aws account & Tracking logs

          One Devops Project

          • Interconnecting Jenkins, GIT ,Sonar cube, Nexus, Docker and AWS real time project.

          Linux and shell scripting

          • Linux basic commands
          • Installing, updating, removing packages
          • Process monitoring and cron jobs
          • Linux networking and commands
          • Service and permission management
          • SSH and password less authentication
          • Advance shell commands
          • Bash Conditional statements
          • Bash looping statements
          • Functions

          AWS code build

          • Deep diving code build on aws console
          • Integration with github
          • Creating custom build spec file
          • Automating code build using terraform

          AWS code commit

          • Creating and managing new repositories
          • Connecting codecommit with ssh and https
          • Pull requests
          • Integration with codepipeline

          Monitoring Services

          • Cloudwatch Monitoring
          • Monitoring instances with 3rd party tools (Prometheus, Grafana, Alert Manger)

          AWS Migration Services

          • VM to EC2(AMI) migration
          • Multiple VM migrations with real time setup (SMS)

          AWS Security issues

          • NACL
          • Trusted Advisor

          Troubleshooting issues

          • All real time practical issues and troubleshooting steps

          ECS – Elastic Container Service

          • On-premise docker image to AWS ECS
          • ECS Cluster setup and service preparations!

          EKS – Elastic Kubernetes service

          • Deploying EKS cluster using aws management console
          • Node groups and cluster autoscaler
          • Creating ECR registry and repository
          • Integrating ECR with EKS cluster
          • Deep diving ingress controller
          • Setting up Lens for kubernetes IDE
          • Deep diving kubernetes resources

          Terraform and Cloud formation

          Cloud formation (Automation tools)

          • automating the infra structure
          • Code reuse

          Lamda functions

          Cloud watch and fluentd (log service)

          • Deploying fluentd daemonset
          • Fluentd and cloudwatch integration
          • The fluentd plugins

          AWS code artifact

          • Creating code artifact repository
          • Using artifact with maven
          • Creating domain
          • Managing packages

          AWS code pipeline

          • Deep diving code pipeline on aws console
          • Creating the pipeline
          • Integration with github
          • Auto trigger using codestar connection
          • Automating codepipeline using terraform

          Object-storage

          • s3 bucket,object creation
          • s3 bucket properties & accessing s3 through console

            AWS Certification Training

            KEY FEATURES

            100% Job Oriented Training

            Certification Guidance

            Virtual and Classroom Training

            AWS Project Training with Practices

            frequently asked questions

            How long it take to learn AWS?

            It takes 3-4 months to learn the basic concepts of AWS. These concepts include Management of the AWS instance and permissions, Compute EC2 Configuration, Troubleshooting, and Security Management.

            Is AWS Certification enough to get a job?

            This question is often asked by the students. The answer is that an AWS Certification only will not get you a job. Several other factors helps you to get a job after this certification.

            Can a Beginner Learn AWS?

            Yes, a beginner can learn AWS and the best place to start as a beginner is with the Cloud Practitioner Exam. This exam will give you a solid basis in AWS.

            Is AWS Hard to Learn?

            AWS is a steep learning curve and you will need to know fundamental technology before starting AWS Course Training.

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