AWS in DevOps

Click to rate this post!
[Total: 0 Average: 0]

So till now, we people were aware of Linux Concepts that are essential for the DevOps. So now let’s learn AWS. In this blog, we will see the basics of AWS and how it relates to DevOps. But prior to learn all these things, lets first discuss

What is Cloud Computing?

It refers to the use of remote servers on the internet to store, manage and process the data rather than the local server (or) on the personal computer.

Usually, we have 3 categories in cloud computing

Infrastructure as a Service(Iaas):

Iaas provides the server in the cloud with complete controls over it. In Iaas on the application that you are running, you are responsible to manage everything from the operating system

Platform as a service(paas):

This category delivers the software as well as the hardware tools necessary for application development. This category provides a combination of flexibility and simplicity. It is flexible since it can tailor to the application needs. Moreover, it is flexible, since there is no need for Os maintenance, versions as well as the patches.

Software as a service (Saas):

Saas is a software distribution model in which the third party provider hosts the applications and makes them available to the customers over the internet. People can access the applications simply through the internet. This ultimately reduces the burden on the IT staff.

 Get more knowledge on Cloud computing through cloud computing courses
What is AWS?

AWS is a secure cloud service platform offering the computing power, data storage, content delivery and other functionality that helps the business to grow. This comprehensive and broadly adopted cloud platform offering 165 featured services from the data globally.

How AWS is useful in DevOps?

AWS is one of the best cloud service provider and the DevOps need the hourly implementation of software development life cycle. So to reflect the continuous updation, DevOps depend on Amazon Web Services(AWS). AWS provides a set of flexible services, designed to enable the services to more rapidly and reliably build and deliver the products using the DevOps and the AWS practices.

So let us first discuss the various options that are available in AWS.

AWS Cloud information:

When compared with the traditional development team, DevOps teams are required to create and release the cloud instances and services more frequently. The AWS Cloud information enables you to do just with templates of various AWS resources like EC2 instances, ECS containers, and the S3 storage buckets and so on.

AWS EC2:

It is a virtual server in an Amazon elastic compute cloud (Amazon EC2) for running the applications on the AWS infrastructure. You can run the containers inside the EC2 instances. Hence they can increase the AWS security as well as the management features.

AWS Cloud Watch :

It is a monitoring and the management service, that provides the monitoring source lets you track every resource that AWS has to offer. Additionally, it makes very easy to use the third-party tools for monitoring. This lets you collect and access all your performance as well as the operational data in the form of logs and metrics on the single platform.

AWS Code pipeline:

It is an Amazon web services product that automates the software deployment process and allows the developer to quickly model, visualize and deliver the code for new features as well as the and updates. This popular AWS pipeline simplifies the way you manage your CI/CD tool-set. This pipeline lets you integrate with different tools like Jenkins, GitHub. This finally enables you to visually control the app updates production from build to the productions

AWS Instances:

A Cloud instance refers to the virtual server instance from a public (or) a private cloud. AWS Instances frequently creates and adds new instances to their list and the level of customization. And these instances makes it easy to use the AWS DevOps together.

So till now, we have seen the basic services available in AWS. So now let’s login into its actual portal.

visit https://aws.amazon.com/ to login into the account.

Like other registrations, I have registered in that account and successfully logged into the account after email verification. And I hope you people have successfully signed up and activated your account. Moreover, if you people struck up anywhere (or) require any further details visit AWS training.

Subscribe
to our newsletter

Drop Us A Query

Trending Courses
  • Selenium with python
    Selenium with Python Training
  • As we know, that Selenium with Python Web Browser Selenium Automation is Gaining Popularity Day by Day. So many Frameworks and Tools Have arisen to get Services to Developers.

  • machine learning with python
    Machine Learning with Python Training
  • Over last few years, Big Data and analysis have come up, with Exponential and modified Direction of Business. That operate Python, emerged with a fast and strong Contender for going with Predictive Analysis.

  • Data science with R
    Data Science With R Training
  • Understanding and using Linear, non-linear regression Models and Classifying techniques for stats analysis. Hypothesis testing sample methods, to get business decisions.

  • data science with python
    Data Science with Python Training
  • Everyone starts Somewhere, first you learn basics of Every Scripting concept. Here you need complete Introduction to Data Science python libraries Concepts.

  • devops with azure
    Devops with Azure Training
  • As we Know Azure DevOps is a Bunch of Services, in guiding Developers. It contains CI/CD, pipelines, code Repositories, Visual Reporting Tools and more code management with version control.

  • python training
    Python Certification Training
  • Python is a dynamic interrupted language which is used in wide varieties of applications. It is very interactive object oriented and high-level programming language.


100% Secure Payments. All major credit & debit cards accepted.

Call Now Button