Explore Courses
course iconScrum AllianceCertified ScrumMaster (CSM) Certification
  • 16 Hours
Best seller
course iconScrum AllianceCertified Scrum Product Owner (CSPO) Certification
  • 16 Hours
Best seller
course iconScaled AgileLeading SAFe 6.0 Certification
  • 16 Hours
Trending
course iconScrum.orgProfessional Scrum Master (PSM) Certification
  • 16 Hours
course iconScaled AgileSAFe 6.0 Scrum Master (SSM) Certification
  • 16 Hours
course iconScaled Agile, Inc.Implementing SAFe 6.0 (SPC) Certification
  • 32 Hours
Recommended
course iconScaled Agile, Inc.SAFe 6.0 Release Train Engineer (RTE) Certification
  • 24 Hours
course iconScaled Agile, Inc.SAFe® 6.0 Product Owner/Product Manager (POPM)
  • 16 Hours
Trending
course iconKanban UniversityKMP I: Kanban System Design Course
  • 16 Hours
course iconIC AgileICP Agile Certified Coaching (ICP-ACC)
  • 24 Hours
course iconScrum.orgProfessional Scrum Product Owner I (PSPO I) Training
  • 16 Hours
course iconAgile Management Master's Program
  • 32 Hours
Trending
course iconAgile Excellence Master's Program
  • 32 Hours
Agile and ScrumScrum MasterProduct OwnerSAFe AgilistAgile CoachFull Stack Developer BootcampData Science BootcampCloud Masters BootcampReactNode JsKubernetesCertified Ethical HackingAWS Solutions Artchitct AssociateAzure Data Engineercourse iconPMIProject Management Professional (PMP) Certification
  • 36 Hours
Best seller
course iconAxelosPRINCE2 Foundation & Practitioner Certificationn
  • 32 Hours
course iconAxelosPRINCE2 Foundation Certification
  • 16 Hours
course iconAxelosPRINCE2 Practitioner Certification
  • 16 Hours
Change ManagementProject Management TechniquesCertified Associate in Project Management (CAPM) CertificationOracle Primavera P6 CertificationMicrosoft Projectcourse iconJob OrientedProject Management Master's Program
  • 45 Hours
Trending
course iconProject Management Master's Program
  • 45 Hours
Trending
PRINCE2 Practitioner CoursePRINCE2 Foundation CoursePMP® Exam PrepProject ManagerProgram Management ProfessionalPortfolio Management Professionalcourse iconAWSAWS Certified Solutions Architect - Associate
  • 32 Hours
Best seller
course iconAWSAWS Cloud Practitioner Certification
  • 32 Hours
course iconAWSAWS DevOps Certification
  • 24 Hours
course iconMicrosoftAzure Fundamentals Certification
  • 16 Hours
course iconMicrosoftAzure Administrator Certification
  • 24 Hours
Best seller
course iconMicrosoftAzure Data Engineer Certification
  • 45 Hours
Recommended
course iconMicrosoftAzure Solution Architect Certification
  • 32 Hours
course iconMicrosoftAzure Devops Certification
  • 40 Hours
course iconAWSSystems Operations on AWS Certification Training
  • 24 Hours
course iconAWSArchitecting on AWS
  • 32 Hours
course iconAWSDeveloping on AWS
  • 24 Hours
course iconJob OrientedAWS Cloud Architect Masters Program
  • 48 Hours
New
course iconCareer KickstarterCloud Engineer Bootcamp
  • 100 Hours
Trending
Cloud EngineerCloud ArchitectAWS Certified Developer Associate - Complete GuideAWS Certified DevOps EngineerAWS Certified Solutions Architect AssociateMicrosoft Certified Azure Data Engineer AssociateMicrosoft Azure Administrator (AZ-104) CourseAWS Certified SysOps Administrator AssociateMicrosoft Certified Azure Developer AssociateAWS Certified Cloud Practitionercourse iconAxelosITIL 4 Foundation Certification
  • 16 Hours
Best seller
course iconAxelosITIL Practitioner Certification
  • 16 Hours
course iconPeopleCertISO 14001 Foundation Certification
  • 16 Hours
course iconPeopleCertISO 20000 Certification
  • 16 Hours
course iconPeopleCertISO 27000 Foundation Certification
  • 24 Hours
course iconAxelosITIL 4 Specialist: Create, Deliver and Support Training
  • 24 Hours
course iconAxelosITIL 4 Specialist: Drive Stakeholder Value Training
  • 24 Hours
course iconAxelosITIL 4 Strategist Direct, Plan and Improve Training
  • 16 Hours
ITIL 4 Specialist: Create, Deliver and Support ExamITIL 4 Specialist: Drive Stakeholder Value (DSV) CourseITIL 4 Strategist: Direct, Plan, and ImproveITIL 4 Foundationcourse iconJob OrientedData Science Bootcamp
  • 6 Months
Trending
course iconJob OrientedData Engineer Bootcamp
  • 289 Hours
course iconJob OrientedData Analyst Bootcamp
  • 6 Months
course iconJob OrientedAI Engineer Bootcamp
  • 288 Hours
New
Data Science with PythonMachine Learning with PythonData Science with RMachine Learning with RPython for Data ScienceDeep Learning Certification TrainingNatural Language Processing (NLP)TensorflowSQL For Data Analyticscourse iconIIIT BangaloreExecutive PG Program in Data Science from IIIT-Bangalore
  • 12 Months
course iconMaryland UniversityExecutive PG Program in DS & ML
  • 12 Months
course iconMaryland UniversityCertificate Program in DS and BA
  • 31 Weeks
course iconIIIT BangaloreAdvanced Certificate Program in Data Science
  • 8+ Months
course iconLiverpool John Moores UniversityMaster of Science in ML and AI
  • 750+ Hours
course iconIIIT BangaloreExecutive PGP in ML and AI
  • 600+ Hours
Data ScientistData AnalystData EngineerAI EngineerData Analysis Using ExcelDeep Learning with Keras and TensorFlowDeployment of Machine Learning ModelsFundamentals of Reinforcement LearningIntroduction to Cutting-Edge AI with TransformersMachine Learning with PythonMaster Python: Advance Data Analysis with PythonMaths and Stats FoundationNatural Language Processing (NLP) with PythonPython for Data ScienceSQL for Data Analytics CoursesAI Advanced: Computer Vision for AI ProfessionalsMaster Applied Machine LearningMaster Time Series Forecasting Using Pythoncourse iconDevOps InstituteDevOps Foundation Certification
  • 16 Hours
Best seller
course iconCNCFCertified Kubernetes Administrator
  • 32 Hours
New
course iconDevops InstituteDevops Leader
  • 16 Hours
KubernetesDocker with KubernetesDockerJenkinsOpenstackAnsibleChefPuppetDevOps EngineerDevOps ExpertCI/CD with Jenkins XDevOps Using JenkinsCI-CD and DevOpsDocker & KubernetesDevOps Fundamentals Crash CourseMicrosoft Certified DevOps Engineer ExperteAnsible for Beginners: The Complete Crash CourseContainer Orchestration Using KubernetesContainerization Using DockerMaster Infrastructure Provisioning with Terraformcourse iconTableau Certification
  • 24 Hours
Recommended
course iconData Visualisation with Tableau Certification
  • 24 Hours
course iconMicrosoftMicrosoft Power BI Certification
  • 24 Hours
Best seller
course iconTIBCO Spotfire Training
  • 36 Hours
course iconData Visualization with QlikView Certification
  • 30 Hours
course iconSisense BI Certification
  • 16 Hours
Data Visualization Using Tableau TrainingData Analysis Using Excelcourse iconEC-CouncilCertified Ethical Hacker (CEH v12) Certification
  • 40 Hours
course iconISACACertified Information Systems Auditor (CISA) Certification
  • 22 Hours
course iconISACACertified Information Security Manager (CISM) Certification
  • 40 Hours
course icon(ISC)²Certified Information Systems Security Professional (CISSP)
  • 40 Hours
course icon(ISC)²Certified Cloud Security Professional (CCSP) Certification
  • 40 Hours
course iconCertified Information Privacy Professional - Europe (CIPP-E) Certification
  • 16 Hours
course iconISACACOBIT5 Foundation
  • 16 Hours
course iconPayment Card Industry Security Standards (PCI-DSS) Certification
  • 16 Hours
course iconIntroduction to Forensic
  • 40 Hours
course iconPurdue UniversityCybersecurity Certificate Program
  • 8 Months
CISSPcourse iconCareer KickstarterFull-Stack Developer Bootcamp
  • 6 Months
Best seller
course iconJob OrientedUI/UX Design Bootcamp
  • 3 Months
Best seller
course iconEnterprise RecommendedJava Full Stack Developer Bootcamp
  • 6 Months
course iconCareer KickstarterFront-End Development Bootcamp
  • 490+ Hours
course iconCareer AcceleratorBackend Development Bootcamp (Node JS)
  • 4 Months
ReactNode JSAngularJavascriptPHP and MySQLcourse iconPurdue UniversityCloud Back-End Development Certificate Program
  • 8 Months
course iconPurdue UniversityFull Stack Development Certificate Program
  • 9 Months
course iconIIIT BangaloreExecutive Post Graduate Program in Software Development - Specialisation in FSD
  • 13 Months
Angular TrainingBasics of Spring Core and MVCFront-End Development BootcampReact JS TrainingSpring Boot and Spring CloudMongoDB Developer Coursecourse iconBlockchain Professional Certification
  • 40 Hours
course iconBlockchain Solutions Architect Certification
  • 32 Hours
course iconBlockchain Security Engineer Certification
  • 32 Hours
course iconBlockchain Quality Engineer Certification
  • 24 Hours
course iconBlockchain 101 Certification
  • 5+ Hours
NFT Essentials 101: A Beginner's GuideIntroduction to DeFiPython CertificationAdvanced Python CourseR Programming LanguageAdvanced R CourseJavaJava Deep DiveScalaAdvanced ScalaC# TrainingMicrosoft .Net Frameworkcourse iconSalary Hike GuaranteedSoftware Engineer Interview Prep
  • 3 Months
Data Structures and Algorithms with JavaScriptData Structures and Algorithms with Java: The Practical GuideLinux Essentials for Developers: The Complete MasterclassMaster Git and GitHubMaster Java Programming LanguageProgramming Essentials for BeginnersComplete Python Programming CourseSoftware Engineering Fundamentals and Lifecycle (SEFLC) CourseTest-Driven Development for Java ProgrammersTypeScript: Beginner to Advanced

Getting Started with AWS DevOps: A Comprehensive Guide

By Suhas Hegde

Updated on Jul 05, 2023 | 11 min read | 10.1k views

Share:

What is Devops? 

The combination of cultural philosophies practices, and tools known as DevOps improves an organization's capacity to deliver applications and services at high velocity: products evolve and improve more quickly than they would in organizations using conventional software development and infrastructure management processes. Organizations can provide better customer service and engage in more profitable market competition thanks to this speed.

Software development and IT teams can automate and integrate their processes with the use of a set of practices, tools, and cultural principles called "DevOps." For AWS DevOps for beginners check DevOps Certification courses. It places a strong emphasis on technology automation, cross-team communication, and team empowerment.

What is AWS? 

The AWS service is offered by Amazon, which makes various IT resources available on demand by using a distributed IT architecture. It offers a variety of services, including packaged software as a service (SaaS), infrastructure as a service (IaaS), and platform as a service (PaaS).Receiving tools like computational power, database storage, and content delivery services from AWS services might be advantageous for a company.

Over 200 fully functional services are offered by Amazon Web Services (AWS), the most comprehensive and popular cloud in the world, from data centers all over the globe. Millions of customers, including the biggest enterprises, the most effective governmental agencies, and the fastest-growing startups, use AWS to reduce costs, improve agility, and speed up innovation. To become AWS DevOps professional check DevOps Training and Placement.

AWS has clients in more than 190 countries, including 2000 governmental agencies and 5000 institutes of higher learning. Numerous companies, such as ESPN, Adobe, Twitter, Netflix, and Facebook, employ AWS services.

Infrastructure as Code (IaC)

 A fundamental DevOps principle is treating infrastructure the same way developers treat code. There is a specific format and grammar for the application code. Applications cannot be made if the code is not written in accordance with the rules of the programming language. A version management or source control system that keeps track of changes made to the code as well as bug fixes stores the code. We anticipate a consistent application to be produced when code is generated or built into apps, and that the build will be repeatable and reliable.

Applying the same rigor of application code development to infrastructure provisioning is known as "practicing infrastructure as code." In the same manner that application code is kept in a source control system like AWS CodeCommit, all configurations should be defined declaratively. The use of infrastructure as code should be supported by the provisioning, orchestration, and deployment of infrastructure.

Historically, provisioning infrastructure has been done manually and with scripts. These scripts were occasionally kept in version control databases or meticulously described in text files or runbooks. Often, the person executing these scripts or carrying out the instructions in the run books is not the same person who wrote them. These scripts could potentially prevent deployments if they are not regularly updated.

Tools in AWS DevOps  

  • AWS CodeCommit: 

You can use AWS CodeCommit, an Amazon Web Services-hosted version control service, to secretly store and manage assets (such files, source code, and binary files) in the cloud. You can host or hold repositories using an internal repository or infrastructure. AWS CodeCommit essentially provides you with a workspace where you can go ahead and commit, push, or pull your code. In response, AWS created several services, including AWS CodeCommit, that made it possible to execute the continuous integration and deployment process in the cloud. You can host or hold repositories using an internal repository or infrastructure.

  • AWS CodePipeline: 

Your release pipeline can be automated with the aid of AWS CodePipeline, a fully managed continuous delivery solution. Users can use either the AWS CLI or a clean UI configuration process within the Amazon Console to build, test, and deploy code into a test or production environment.

Tools and services like GitHub and Jenkins can be integrated with AWS CodePipeline.

  • AWS CodeBuild: 

AWS CodeBuild is a fully managed continuous integration service that assembles source code, conducts tests, and generates deployable software packages. Build and test your code on a variety of platforms, including Java, Ruby, Python, Android, and more, with pay-as-you-go pricing.

Builds aren't kept waiting in a queue since CodeBuild scales constantly and handles several builds at once. With AWS CodeBuild, you'll never have to pay for downtime again.

  • AWS CodeDeploy: 

AWS CodeDeploy can be used for the automation of software deployments in AWS. With AWS CodeDeploy, one can handle the complexity of application upgrades, deliver new features more quickly, and prevent application deployment downtime. With the use of CodeDeploy, software deployments may be automated, doing away with the need for tiresome manual activities. Services that will help with the deployment of your application can be tailored by CodeDeploy. Application content that is hosted in Amazon S3 buckets, GitHub repositories, or Bitbucket repositories and runs on a server can be deployed using CodeDeploy.

  • AWS CodeStar: 

AWS CodeStar is a cloud-based service that allows users to create, manage, and work on software development projects on the AWS platform. With an AWS CodeStar project, you can develop, build, and deploy applications on AWS quickly. For your project development toolchain, an AWS CodeStar project creates and integrates AWS services. Depending on the AWS CodeStar project template you select, that toolchain might also include virtual servers, serverless resources, build, deployment, source control, and more. The permissions necessary for project users (referred to as team members) are likewise managed by AWS CodeStar.

  • AWS CloudFormation: 

Using template files, an AWS service called AWS CloudFormation simplifies the creation of AWS resources. Because it can automate the setup and deployment of different Infrastructure-as-a-Service (IaaS) products on AWS, it can also be referred to as an infrastructure automation tool, an Infrastructure-as-Code (IaC) tool, or a cloud automation solution. CloudFormation is capable of supporting almost all AWS services. Providing and upgrading them in an organized and predictable manner gives you a quick approach to building and managing a group of AWS resources. Simply put, it enables you to model and build your infrastructure and apps without having to carry out manual processes.

  • AWS Elastic Beanstalk: 

An AWS-managed service for web applications is called Elastic Beanstalk. A pre-configured EC2 server called Elastic Beanstalk can immediately accept your application code and environment configurations and utilize them to provision and deploy the necessary resources within Amazon Web Services (AWS) so that your web application may execute. In contrast to Elastic Beanstalk, which allows users to directly use a pre-configured server for their application, EC2 is an example of Infrastructure as a Service (IaaS). Of course, it's possible to deploy applications without ever using elastic beanstalk, but doing so would require you to pick the best service from among the wide range of AWS services, manually provision these AWS resources, and then piece the resources together to create a full web application.

  • AWS OpsWorks: 

AWS OpsWorks is a configuration management service that enables you to use Puppet or Chef to configure and manage applications in a cloud company. You can leverage Chef cookbooks and solutions for configuration management with AWS OpsWorks Stacks and AWS OpsWorks for Chef Automate, while OpsWorks for Puppet Enterprise enables you to set up a Puppet Enterprise master server in AWS. Puppet provides a set of tools for automating on-demand activities and enforcing the desired condition of your infrastructure.

  • AWS CloudWatch: 

The aim of Amazon CloudWatch, an AWS monitoring and management service, is to maintain the services and resources that are used. This is specifically made to make the lives of developers, site reliability engineers, IT managers, and system operators easier.

It gathers and presents statistics, metrics, and insights on specific AWS services and your applications, allowing you to manage only the things you want to manage. For each AWS service and resource, data is gathered in the form of logs, metrics, and events.

  • AWS X-Ray: 

AWS X-Ray is a service that aids in the analysis and debugging of distributed applications for developers. Customers who employ cloud-hosted apps or applications running on their workstations for development use X-Ray to track application traces, including the effectiveness of calls to other downstream components or services.

A service map and the application architecture details are combined by AWS X-Ray. The connectivity to the components and dependency trees are also included in these service maps. You can learn in-depth about these tools in the DevOps Foundation course online.

Popular Use Cases AWS DevOps  

Some of the most popular use cases of AWS DevOps Projects are:

1. Pfizer

Together with Pfizer, AWS is developing cutting-edge cloud-based solutions that could enhance the process of developing, producing, and distributing novel medications for use in clinical trials.
By integrating predictive maintenance capabilities created with AWS machine learning services like Amazon Lookout for Equipment (AWS's solution for detecting aberrant equipment behaviour by analysing sensor data), AWS DevOps is helping Pfizer enhance its operations for ongoing clinical manufacturing. As a result, Pfizer can increase the uptime of machinery used in the production of therapeutic drugs, such as centrifuges, agitators, pulverizers, coaters, and air handlers. 

2. Mcdonald’s

McDonalds developed Home Delivery, a network that connects neighbourhood eateries with delivery services like UberEats, using Amazon Web Services (AWS) DevOps.
The platform can scale to 20,000 orders per second with less than 100 milliseconds of latency because to the cloud-native microservices design, and open APIs make it simple for McDonald's to interface with a variety of international delivery partners. Using AWS also implies that McDonald's gets a return on its investment from the system.

3. Netflix

With Amazon handling the infrastructure, Netflix was able to focus on its product after selecting AWS as its cloud partner. They have an enhanced rate of innovation, and it is one of the key causes. So, in order to reap its advantages as well, Netflix implemented containerization.
The best illustration of the benefits of adopting AWS DevOps and how successful it can be for firms who employ it comes from Netflix.

Best Practices of AWS DevOps   

Some of the best practices of Amazon DevOps are mentioned below:

  • CI/CD

The foundation of DevOps is CI/CD pipelines. By often updating and changing the code, continuous integration, or CI, supports the development and ongoing validation of business projects. Continuous delivery (CD), on the other hand, promotes CI by assisting with the automated deployment of code in the production environment.

  • Monitoring

To guarantee that events occur at the appropriate times and that any faults are quickly fixed, all machine operations must be logged and tracked.

  • Infrastructure as a Code

This makes it possible for businesses to manage AWS cloud resources using template files that can be read by both humans and machines. The most helpful tool for AWS cloud developers is AWS CloudFormation.

Benefits of AWS DevOps 

Let’s check which of the following benefits of AWS DevOps services are given below:

  • Automation

Automation is made possible via AWS, allowing for quicker and more efficient building. AWS services, including deployments, workflows for development and testing, container management, and configuration management, allow you to automate manual processes or activities.

  • Collaboration

DevOps is a group of services that facilitates communication and collaboration among a company's many departments. DevOps is a group of services that facilitates communication and collaboration among a company's many departments.

  • Secure

AWS Identity and Access Management (IAM) enables the definition of user rights and policies. You can now regulate exactly who gets access to your resources and how it is done.

  • Pay as you Go

You have the option to just pay for what you use using AWS DevOps pricing. There are no up-front costs, severance fees, or lengthy contracts with AWS pricing. You can buy services as you require them and only for the period that you need them.

Cost Optimization Strategies 

Below are some of the cost optimization strategies in AWS DevOps:

  • Get rid of resources that aren't being utilized.
  • Optimize the use of current resources.
  • Making use of managed services.
  • Utilise reserved situations.
  • Resource tags.
  • Use instances from the current generation.

Conclusion  

Technology businesses must implement DevOps ideas and practices if they want to make the transition to the cloud simple, effective, and efficient. The tools and services benefit from the same advantages of AWS DevOps because these ideas are built into the AWS platform. To make the move to the cloud as smooth, dependable, and profitable as possible, technology organizations should adopt AWS DevOps standards and practices. On these principles, the AWS DevOps Foundation is based. In reality, they play a key role in many AWS services, particularly those that deal with deployment and monitoring. For more about AWS and DevOps, you can check out KnowledgeHut’s DevOps certification courses. With AWS as your partner, your company's IT organization will gain flexibility thanks to your AWS DevOps ideals, which will also hasten your journey to the cloud.

Frequently Asked Questions (FAQs)

1. How can AWS Elastic Beanstalk simplify application deployment and management?

2. What are the different ways to monitor and troubleshoot applications on AWS?

3. How does AWS OpsWorks assist in managing infrastructure and application configurations?

Suhas Hegde

Suhas Hegde

10 articles published

Get Free Consultation

By submitting, I accept the T&C and
Privacy Policy