AWS DevOps: Introduction to DevOps on AWS

www.datacademy.ai
Knowledge world
AWS DevOps: Introduction to
DevOps on AWS
Introduction to DevOps on AWS
Technology has evolved over time. And with technology, the ways and needs to handle technology
have also evolved. The last two decades have seen a great shift in computation and also software
development life cycles. We have seen a huge demand for AWS certification. let’s focus on one such
approach known as DevOps and AWS DevOps in particular.
This blog focuses on the following points:
1. What Is DevOps?
2. What Is AWS?
3. AWS DevOps
So let us get started then, shall we?
What is DevOps?
In these fast-paced times, we see more emphasis being laid on faster delivery of software deployment.
Because in order to stay competitive in the market the companies are expected to deploy quality
software in defined timelines. Hence the roles of software developer and system admin have become
very important. A lot of juggling of responsibilities happens between the two teams. Let us take a look
at how these individuals contribute to the deployment process.
A programmer or a software developer is responsible for developing the software. In simple words he
is supposed to develop software that has the:
• New features
• Security Upgrades
• Bug Fixes
But a developer may have to wait for weeks for the product to get deployed which is also known
as ‘Time To Market’ in business terms. So this delay may put pressure on the developer because he is
forced re-adjust his dependent activities like:
• Pending code

www.datacademy.ai
Knowledge world
• Old code
• New products
• New features
Also when the product is put into the production environment, the product may exhibit some
unforeseen errors. This is because the developer writes code in the development environment which
may be different from the production environment.
Let us go ahead and take a look at this process from the operations point of view. Now the operations
team or the system administrators team is responsible for maintaining and assuring the uptime of the
production environment. Now as the company invests time and money in more products and
services, the number of servers and admins that have to take care of also keeps growing.
This gives rise to more challenges because the tools that were used to manage the earlier amount of
servers may not be sufficient to cater to the needs of an upcoming and growing number of servers.
The operations team also needs to make slight changes to the code so that it fits into the production
environment. Hence the need to schedule these deployments accordingly also grows, which leads to
time delays.
When the code is deployed the operations team is also responsible to handle code changes or minor
errors in the code. At times the operation team may feel pressurized and it may seem like developers
have pushed their responsibilities to the operations side of the responsibility wall. As you may come
to realize that none of the sides can be held culprit.

www.datacademy.ai
Knowledge world
For details, You can even check out the details of Migrating to AWS with the AWS Cloud Migration
Certification.
What if these two teams could work together? What if
they:
• could break down silos
• Share responsibilities
• start thinking alike
• work as a team
Well, this is what DevOps does, it helps you get software developers and operations in sync to improve
productivity. Simply define it with jargon terms. DevOps is the process of integrating Developers and
Operations teams in order to improve collaborations and productivity. This is done with the automation of
workflows and productivity and continuous measurement of application performance.
DevOps focuses on automating everything that lets them write small chunks of code that can be tested,
monitored, and deployed in hours which is different from writing large chunks of code that take
weeks to deploy. So this was about DevOps. Let us move ahead and understand what is AWS and how
it forms a crucial pairing with DevOps to give you AWS DevOps.
What is AWS?
If you go back a decade, the scenario of handling or more precisely storing data was different.
Companies preferred storing data using their private servers. However, with more and better usage
of the internet, the trend has seen a paradigm shift for companies, as they are moving their data to
the cloud. This enables companies to focus more on core competencies and stop worrying about
storing and computation. These two points below talk about the significance of cloud:

www.datacademy.ai
Knowledge world
Fact: Netflix is a popular video streaming service that the whole world uses today, back in 2008 Netflix
suffered a major database corruption, and for three days their operations were halted. The problem
was scaling up, that is when they realized the need for highly reliable, horizontally scalable,
distributed systems in the cloud. Came in cloud services, and since then their growth has been off the
charts.
Prediction: Gartner says, By 2020, a Corporate “No-Cloud” Policy Will Be as Rare as a “No-Internet” Policy
Today. Interesting, isn’t it?
Since every company has started to adopt cloud services. It can be claimed that the cloud is the talk
of the town. And AWS, in particular, is the leading cloud service provider in the market. Let us
understand more about it.
AWS
AWS which stands for Amazon Web Services is an ‘Amazon.com‘ subsidiary that offers cloud-
computing services at very affordable rates, therefore making its customer base strong from small-
scale companies like Pinterest (which has just 5 employees) to big enterprises like D-Link.
Learn more from the AWS Training in Patna.
What is Cloud Computing?
It is the use of remote servers on the internet to store, manage and process data rather than a local
server or personal computer.
There are basically 3 categories of cloud computing:
IaaS(Infrastructure as a service)
• IaaS gives you a server in the cloud(virtual machine) that you have complete control over.
• In Iaas, you are responsible for managing everything from the Operating System up to the application
you are running.
PaaS(Platform as a Service)
• With PaaS, you have a combination of flexibility and simplicity.
• Flexible because it can be tailored to the application’s needs.
• Simple is no need for OS maintenance, versions, or patches.
SaaS(Software as a Service)
• A software distribution model in which a third-party provider hosts applications.
• Instead of installing and maintaining software, you simply access it via the Internet.
• Automatic updates reduce the burden on in-house IT staff.
When we refer to AWS, it is more of an IAAS.
In case you wish to know about cloud computing in detail refer to this link What Is Cloud Computing?
AWS DevOps
AWS is one of the best cloud service providers and DevOps, on the other hand, is the ‘need of the
hour’ implementation of the software development lifecycle. The following reasons make AWS
DevOps a highly popular amalgamation:
AWS CloudFormation
DevOps teams are required to create and release cloud instances and services more frequently than
traditional development teams. AWS CloudFormation enables you to do just that.‘Templates’ of AWS

www.datacademy.ai
Knowledge world
resources like EC2 instances, ECS containers, and S3 storage buckets let you set up the entire stack
without you having to bring everything together yourself.
AWS EC2
AWS EC2 speaks for itself. You can run containers inside EC2 instances. Hence you can leverage the
AWS Security and management features. Another reason why AWS DevOps is a lethal combo.
AWS CloudWatch
This monitoring tool lets you track every resource that AWS has to offer. Plus it makes it very easy to
use third-party tools for monitoring like Sumo Logic etc
AWS CodePipeline
CodePipeline is one popular feature from AWS that highly simplifies the way you manage your CI/CD
tool set. It lets you integrate with tools like GitHub, Jenkins, and CodeDeploy enabling you to visually
control the flow of app updates from build to production.
Instances In AWS
AWS frequently creates and adds new instances to its list and the level of customization with these
instances allows you to make it easy to use AWS DevOps together.
Amazon Web Services (AWS) offers a wide range of tools and services for implementing DevOps
practices in the cloud. Some of the most popular services used for DevOps on AWS include:
• AWS CodeCommit: A fully-managed source control service that makes it easy for teams to collaborate on
code.
• AWS CodeBuild: A fully-managed continuous integration service that compiles source code, runs tests,
and produces software packages that are ready for deployment.
• AWS CodeDeploy: A fully-managed service that automates software deployments to a variety of
computing services, including Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers.
• AWS CodePipeline: A fully-managed service that helps automate the build, test, and deploy phases of
your release process.
• AWS Elastic Beanstalk: A fully-managed service that makes it easy to deploy and run applications in
multiple languages, including Java, .NET, PHP, Node.js, Python, Ruby, and Go.
• AWS Lambda: A serverless computing service that lets you run code without provisioning or managing
servers.
• AWS Config: A service that tracks resource inventory and changes, providing a historical view of
infrastructure, and also allows implementing security governance.
• AWS CloudFormation: It allows users to describe and provision AWS infrastructure deployments
predictably and repeatedly in an automated fashion.
These services can be used together to create a highly automated and flexible DevOps workflow on
AWS. In addition, AWS also provides various other services like EC2, S3, RDS, etc., that can be
integrated as per the requirement and use-case.
All these reasons make AWS one of the best platforms for DevOps. You can learn more about the
services of AWS from AWS.
Also, if you’re in search of a career that’s both demanding and rewarding. No matter whether you’ve
worked in DevOps or are new to the field, the DevOps Professional Certificate is precisely the thing
you need to learn the methods to be successful. From the basic to the most advanced methods, we
cover everything & Introduction to DevOps on AWS. You can also check out our DevOps Engineer topics. It
will help you to gain expertise in DevOps tools.

AWS DevOps: Introduction to DevOps on AWS

Recommended

Recommended

More Related Content

Similar to AWS DevOps: Introduction to DevOps on AWS

Similar to AWS DevOps: Introduction to DevOps on AWS (20)

More from Datacademy.ai

More from Datacademy.ai (16)

Recently uploaded

Recently uploaded (20)

AWS DevOps: Introduction to DevOps on AWS