DevOps is considered a set of practices that combines the abilities of Software Development i.e Dev and IT Operations i.e Ops together, which results in delivering top-notch quality software fastly and more efficiently. Its focus is to encourage communication, collaboration, and integration between the software development team and IT operations to maintain the software development lifecycle.
Now, you understand DevOp’s meaning but the question arises Is there any particular designation for this type of work?
Yes, there is a specific job designation i.e DevOps Engineer. A DevOps Engineer is a person who manages DevOps practices and ensures the streamlined flow of the deployment process. Its key responsibilities may vary from organization to organization but here are some key roles and responsibilities of a DevOps Engineer:
- Implementing CI/CD operations.
- Automating the Infrastructure.
- Collaborating with different teams mainly SDE teams and IT operations teams.
- Managing the availability and performance of the Software applications.
- Troubleshooting and resolving the issues of the organization.
You would be wondering How much a DevOps Engineer could earn by doing this job. Let me tell you the stats, Average salary of a DevOps engineer is 9-10 LPA and it goes up to 20 LPA as well as the average salary of a senior DevOps Engineer ranges between 16- 18 LPA and can go up to more than 35 Lakhs per year.
In this article, we would be learning a full-proof roadmap of How to become a DevOps Engineer or DevOps Roadmap. So, let’s begin the journey
1. Select a Programming Language (Week – 1)
Selecting a language may be a difficult task for a developer but for starting a career in the IT industry it is recommended to select any programming language as your primary language so that you can pursue a further career in the software industry. In this journey of learning DevOps, we will be proceeding further by choosing any one of the two languages i.e Python OR Go lang programming language. As both Python and Go lang are easy-to-learn languages, they both have easy-to-understand syntax and have a large scope in the future.
So let’s see what are the most important topic which you need to look around to have good knowledge of a programming language.
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Python |
GoLang |
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Note: We suggest you to chose any one programming language of the two.
2. OS Concepts (Week 2)
Moving ahead in the journey, it becomes necessary to have your fundamentals strong, as you are going to work directly with the software systems you need to have a solid understanding of Operating Systems and their basic concepts. There are several reasons why you need to learn OS concepts:
- To understand the system architecture.
- To automate and configure management.
- To troubleshoot and debug.
- To apply the best security measures.
Below we have divided this section into three different domains- Operating Systems, Virtualisation, and Networking Protocols. So, without wasting much time let’s take a look.
2.A – Operating Systems
- OS Basics
- Process & Threads
- CPU Scheduling
- Process Synchronization
- Deadlock
- Memory Management
- Disk Management
- Disk Scheduling
2.B – Virtualization
- Application Virtualization
- Network Virtualization
- Desktop Virtualization
- Storage Virtualization
- Server Virtualization
- Data virtualization
2.C – Networking Protocols
3. Linux (Week 2 – 3)
If you are going into DevOps, you need to live in the terminal, for the same, it becomes necessary to have a keen knowledge of command-line-based Operating Systems, and when it comes to the command line the only thing that comes to mind is Linux.
Linux is an open-source operating system that would be needed for collaboration, automation, and continuous improvement of Software Development and IT Operations. The key reasons why you need to learn Linux are-
- It is widely used in DevOps environments.
- Mainly used for Scripting and Automation.
Below are listed some of the key concepts regarding Linux.
- Command Line
- Bash and Shell Scripting
- Package Management
- Networking Tools
- Security Concepts
4. SCM (Week – 4)
It’s time to learn more about the functioning of DevOps in detail, this learning can’t be completed without the inclusion of SCM which stands for Source Code Management in DevOps. In DevOps workflow, SCM plays a critical role as it gives the ability to control and track changes through VCS i.e Version Control Systems. In this journey, we would suggest you get hands-on with Git and Github as VCS.
Git & GitHub
- Introduction to Git
- Installation of Git
- Git Features
- Git – Life Cycle
- Git Staging Environment
- Git vs GitHub
- Git Command Line and Basic Command
- Creating a Repository on GitHub
- Git Init
- Git Add
- Git Commit
- Git Push
- Git Clone
- Git Branch
- Git Branching Merge and Merge Conflict
- Git Log
- Git Diff
- Git Status
- Git .gitignore
- Git Fork and Git Clone
- Git Pull Requests
- Git Rebase
- Git Cherry Pick
- Git Stash
- Git Ignore
- Git Fork
- Git Repository
- Git Index
- Git Head
- Git Cheatsheet
5. Cloud Computing (Week 5 – 7)
Now, when you are well versed with your basics and have covered most of the topics it’s time to get familiar with your working environment or you can say the workspace for DevOps Engineers. Cloud Computing has an inevitable role in the journey of learning DevOps and DevOps often relies on Cloud Computing Platforms such as AWS(Amazon Web Services), Microsoft Azure with DevOps, GCP(Google Cloud Platform), etc. Further, we would be learning the most popular Cloud Computing Platforms in detail.
AWS
- Introduction to AWS
- IAM in AWS
- EC2
- EBS(Elastic Bean Stalk)
- EBS(Elastic Block Store)
- EFS(Elastic File Storage)
- S3
- AMI E.Load Balancer
- Cloud Watch
- Auto Scaling
- SQS
- SNS
- Other Elastic Computes(ECS,EKS,ECR)
- Storage Application Services
- Database Services
Azure
- Introduction to Azure
- Compute Virtual Machines
- Storage
- Azure Network
- Azure Compute Functions
- Compute Monitoring
- Azure Services
- Resources
- Cognitive Services
- Dashboards
- Databases
- DevOps with Azure
GCP
- Introduction
- Compute Services
- Storage and Database Services
- Security Services
- Networking Services
- Data Integration and Analytics
- Services Management Tools and Monitoring Services
- DevOps with GCP
6. Docker (Week 8 – 9)
From scratch, you have learned many things so far, Now, it’s time to learn the most famous tool for DevOps developers i.e. Docker. It is an open-source containerization platform that helps developers in packaging software applications and their dependencies into small-size containers. It has become an integral tool for the DevOps ecosystem due to its various benefits such as :
- It is portable and more flexible.
- It is highly scalable and has efficient resources.
- It allows collaborative development.
- It maintains consistency.
Below mentioned are A-Z topics that you can visit and learn about Docker in detail.
- Docker Introduction
- Docker Installation
- Docker Commands
- Dockerfile
- Docker Images
- Docker Engine, Storage
- Docker Compose
- Docker Containers and Managing Containers
- Docker Registry
- Docker Swarm
7. Kubernetes (Week 10 – 12)
Kubernetes, popularly known as “K8s“, is another open-source platform that automates the whole deployment and management of large applications. It plays an important role in the journey of becoming a DevOps engineer. It makes the application more scalable as well as helps to automate the whole process from start to end. It basically follows the IaC -“Infrastructure as a Code” principle to define and manage the infrastructure resources.
We have listed all the important topics related to Kubernetes below:
- Introduction to Kubernetes
- Kubernetes – Installation Methods
- Installation of Kubernetes on Ubuntu
- Kubernetes – Architecture
- Kubernetes – Monolithic Architecture of Kubernetes
- Kubernetes vs Docker
- Kubernetes – Concept of Containers
- Kubernetes – Introduction to Container Orchestration
- Kubernetes – Namespace
- Kubernetes – Images
- Kubernetes – Jobs
- Kubernetes – Labels & Selectors
- Kubernetes – Node
- Kubernetes – Node Port Service
- Kubernetes – Cluster IP vs Node-Port
- Kubernetes – Service
- Kubernetes – Service DNS
- Kubernetes – Pod
- Kubernetes – Run a Command in Pod’s Containers
- Kubernetes – Create Multiple Containers in a Pod
- Kubernetes – Replication Controller
- Kubernetes – Difference Between Replicaset and Replication Controller
- Kubernetes – Deployments
- Kubernetes – Volumes
- Kubernetes – Secrets
- Kubernetes – Working with Secrets
8. Miscellaneous (Week – 13)
If you reached this part of the article then you definitely have achieved something. Congrats on completing this roadmap this far. But there is always something left to learn we can’t deny that. So, here are some miscellaneous topics that you should keep an eye on.
You can also learn about different tools used for DevOps and for this, you can refer to the article – Top 10 DevOps Tools That You Can Try.
Conclusion
Learning new things may be challenging for an individual but once a wise man said – “Develop a passion for learning. If you do you will never cease to grow“, we also believe the same, and for that cause only we have incubated all the necessary resources related to DevOps for you in this article. We believe that you would be learning all the topics properly and will try your best to become a successful DevOps engineer.
Then too If you are confused and want to learn DevOps solemnly you can visit our course – DevOps Engineering – Planning to Production
FAQs On DevOps Roadmap
1. What are the Five Phases of DevOps?
DevOps can be divided into many phases but majorly it is divided into 5 phases:
- Continuous Development
- Continuous Integration
- Continuous Testing
- Continuous Deployment
- Continuous Monitoring
2. What is the DevOps lifecycle?
The DevOps lifecycle is known as a continuous software development process that includes DevOps best practices to plan, build, integrate, deploy, monitor, operate, and offer continuous feedback throughout the software’s lifecycle.
3. What is the Future Scope of DevOps?
The future scope of DevOps contains many areas in which it can be collaborated and used in an efficient manner:
- It can be used in cloud-native and containerization
- It can be used in Automation using AI/ML.
- It can be used in Site Reliability Engineering.
- It can be used as DataOps.
In conclusion, the future growth of DevOps is bright and consistently evolving.
