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DevOps Engineering on AWS

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.
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Course Duration

3 Days

Target Audience

DevOps architects, DevOps Engineers, Operations engineers, System administrators, Developers

prerequisites
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Course Overview
Course Objective

Course Overview

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 Objective

  • Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS
  • List the advantages, roles and responsibilities of small autonomous DevOps teams
  • Design and implement an infrastructure on AWS that supports DevOps development projects
  • Leverage AWS Cloud9 to write, run and debug your code
  • Deploy various environments with AWS CloudFormation
  • Host secure, highly scalable, and private Git repositories with AWS CodeCommit
  • Integrate Git repositories into CI/CD pipelines
  • Automate build, test, and packaging code with AWS CodeBuild
  • Securely store and leverage Docker images and integrate them into your CI/CD pipelines
  • Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
  • Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
  • Integrate testing and security into CI/CD pipelines
  • Monitor applications and environments using AWS tools and technologies

DevOps Engineering on AWS

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Your Gateway

Migrating to AWS

  • Course Code: MTA
  • Delivery Mode:  ILT, VILT

This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization.

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Developing Serverless Solutions on AWS

  • Course Code: DSS
  • Delivery Mode:  ILT, VILT

This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform.

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Developing on AWS

  • Course Code: DOA
  • Delivery Mode:  ILT, VILT

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications.

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Data Warehousing on AWS

  • Course Code: DWA
  • Delivery Mode:  ILT, VILT

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift. This course demonstrates how to ingest, store, and transform data in the data warehouse.

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Networking Essentials for Cloud Applications on AWS

  • Course Code: NEC
  • Delivery Mode:  ILT, VILT

The Networking Essentials for Cloud Applications on AWS course provides a comprehensive understanding of networking concepts and services within the Amazon Web Services (AWS) cloud environment.

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Building Streaming Data Analytics Solutions on AWS

  • Course Code: BSD
  • Delivery Mode:  ILT, VILT

Learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK).

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prerequisites
Familiarity with the basics of AWS Cloud architecture, An understanding of developing applications on AWS equivalent to completing the Developing on AWS classroom training, Knowledge equivalent to completing the following serverless digital trainings: AWS Lambda Foundations and Amazon API Gateway for Serverless Applications