DevOps Roadmap: Steps to Become a DevOps Engineer
The software development industry has recently been compelled to develop more complex software faster. DevOps has helped push the industry's limits by collaborating development and operational teams. The benefits witnessed by organisations with the DevOps process have resulted in rapid adoption.
DevOps comprises multiple processes from different teams in the software development industries. The new process opens up multiple roles and increases job opportunities for developers and testers. The DevOps roadmap will give a clear understanding of DevOps engineering.
If you are here to learn about the steps in the DevOps engineer roadmap, let's begin without any further delay.
Step 1: Programming Language Knowledge
Processes like software development and automation testing require knowledge of professional programming languages. A specific programming language is chosen based on organisational and project requirements.
However, we must know which languages are commonly used. Java and Python are widely used programming languages because they have a broader application capacity. Scripting is also used for automation, and the languages used for automation are JavaScript, Node.Js, Perl, and so on.
Some worldwide DevOps programming languages are Python, Java, Golang, Javascript, SQL, and Ruby.
Step 2: Basics of Operating System (OS)
The language system used to communicate hardware and software in a computer is OS. DevOps engineers require knowledge of operating systems to manage applications, perform actions, and optimise activities like deployment pipelines. It is difficult to perform important DevOps tasks without knowledge of the operating system.
DevOps engineers must learn about fundamentals of operating systems, development lifecycle and more. Popular operating systems are Linux, Windows, and Ubuntu.
Step 3: Command-line Interface
The command line interface uses line commands to interact with different OS. Since CLI uses less memory to perform any action, it is a very effective interaction method. CLI uses Shell in OS for interaction. The OS like
- Windows
- macOS
- Linux has option of CLI interaction.
A more complex view of system operation can be understood through CLI. It also supports remote interactions.
Some common CLI commands are
cd- used for changing the directory.
cp- copy files from a directory. These commands are used in OS like Windows, macOS, and Linux. Check Linux commands for DevOps and Docker commands for DevOps for better understanding.
Step 4: Version Control System and Hosting
The DevOps process uses repeated correction and implementation processes. The version control method helps track the correct document for development and operation purposes. Git is used for version control and hosting in DevOps. Learning Git for version control can increase the process's efficiency and time management. This allows the developers to make changes, update the version, and keep track of changes.
Github and Gitlab are used to host the system.
Step 5: Learn About Cloud Providers
The cloud computing trend is increasing because of its multiple benefits in the software development industry.
Knowledge of vital cloud platforms like Azure, AWS, and Google Cloud Providers can be more helpful. Organisations depend on cloud platforms to eliminate the use of on-site execution. Cloud platform use reduces the infrastructure requirement needed in traditional methods.
Since cloud platforms are becoming increasingly popular, DevOps engineers must develop a fundamental knowledge of them and their functions. Cloud platforms' positive strides, like instant configuration and constant updation, keep DevOps popular among organisations. The trend is rising and will increase demand in 2025 and beyond. Enrol for a DevOps course in Bangalore at StarAgile Institute and get certified in DevOps with the leading DevOps institute.
Step 6: Containerisation – Docker
Learning Docker is an essential process to becoming a DevOps engineer. This tool is used to deploy any application. To do so, you package the app and download dependencies from the server.
After learning the endless benefits, organisations use Docker for containerisation packages and app deployment. The containerisation process helps organise the files in the application package and write a simple Dockerfile.
The most important thing to learn from Docker- containerisation is
- Run containers
- Inspect active containers
- Dockerize apps using Dockerfiles
- Work with Docker Repository
Step 7: CI/CD Tools
Continuous integration and delivery are core functions of DevOps. This process helps increase the speed of software delivery while making required changes to the software. Improve knowledge on setting up process monitoring, best practices in CI/CD, and feedback cycles for better tool utilisation. A DevOps engineer must have an extensive understanding of CI/CD.
Specific CI/CD Tools are used to increase the flow's effectiveness and simplify the process. Some CI/CD tools are Jenkins, TeamCity, and Circle CI.
These tools can help DevOps engineers automate and monitor software throughout the DevOps lifecycle, including integration, testing, delivery, and deployment.
Step 8: Container Orchestration
During the software development, actions like deploying, scaling, and managing are quickly done on the containerised application. Containerisation orchestration helps perform all these activities effortlessly compared to the traditional method. This process also helps create microservices for the application through the containerisation tool.
Since some obstacles eliminate repetitive tasks and avoid installation, managing and maintaining containers becomes easier. Learning container orchestration will improve the efficiency of DevOps.
Step 9: Networking and Security Protocols
Networking protocols are the standard rules important for network communication. Operations like data transmission and network functionality form the Network communication.
Security Protocols are the standard rules for securing data transmission for safety purposes. Processes like authentication and encryption improve an application's security protocol.
Knowledge of networking and security protocols will help develop a safer application that manages the user's networking operations.
Step 10: Setting Up Firewalls, Proxy and Servers
Factors like firewalls, proxies, and servers can be very helpful in improving users' networking and security. These processes are required to improve the user experience and user data-related security.
Firewalls are used as security barriers, to monitor and control network traffic, and to block unwanted content or users from unknown IPs.
Knowledge of servers is required for hosting, databases, managing data, and delivering content.
Step 11: Understand Serverless
Cloud computing requires serverless support for applications. Cloud computing makes dynamic allocation possible, and resource allocation is no longer a hectic job.
Learning serverless support will create a future-ready mindset. Learn tools like AWS Lambda, Terraform, Google Cloud Functions, and AWS SAM.
Step 12: Infrastructure Provisioning
In this step, you will learn how to provide important software development factors. You will also understand servers, networks, and storage and how to perform infrastructure provisioning.
Knowledge of infrastructure provisioning will help maintain the pipeline of DevOps and automate the process involved. Learn tools like Ansible, Terraform, and Pulumi.
Step 13: Configuration Management
Managing infrastructure, monitoring systems, and controlling software are essential processes in software development. This configuration management will help maintain the software's consistency.
DevOps engineers must also track and make the required changes, which may be repetitive. Automation and knowledge of configuration management are required to control this repetitive process.
Tools like Puppet, terraform, and Ansible can be used for configuration management.
Step 14: Infrastructure Monitoring
A process of checking and collecting application data to identify risks and mitigate them at an early stage. This process helps to improve usability.
A DevOps engineer must maintain and improve an application's usability. To this end, they must develop the required skills and tool knowledge, such as Nagios, Datadog, and Splunk.
Step 15: Application Monitoring
Specific user performance metrics, like reaction time, error rate, CPU and memory utilisation, and deployment frequency, are used to evaluate application performance monitoring. This performance evaluation helps determine whether the application meets users' requirements and expectations.
Knowledge about application performance will help improve it by making the required changes. Learn tools like Datadog, New Relic, Dynatrace, and Prometheus for effective application performance monitoring.
Step 16: Other DevOps Topics to Learn
Apart from the above-discussed topics, some other issues help implement the DevOps process in software development.
Logging
The logging process helps identify problems and resolve them. Continuous monitoring and analysis of the logging process will help identify potential issues.
AI in DevOps
AI and machine learning are impacting multiple industries, including DevOps. AI can be used in different processes, like automation and optimisation.
To secure a job in future, learning AI and machine learning implementation in DevOps will be helpful.
Backup and Disaster Recovery
A backup plan will be helpful during some automation or retrieval process to avoid data loss. Recovery and backup processes are essential to protect the application from cyberattacks or hardware failure.
Learn backup and disaster recovery in DevOps, which can be helpful during odd situations. Git, Terraform, and Ansible tools are used for this purpose.
Feedback Loops
Continuous feedback collection from user input is used to improve the application. Feedback loops are used to upgrade the application and continuously meet users' requirements.
Follow this roadmap for DevOps and take every step towards an on-demand career. The demand for DevOps will grow at a notable rate in the future.
FAQs
1. How is the future of DevOps?
DevOps integration has increased the value of software development and made many industries adopt the successful process.
The employees find that working in a DevOps environment creates continuous integration and deployment support. The adoption rate of DevOps is constantly increasing, and in the future, it will be an integral part of software development.
The future of DevOps may include increased automation, cloud-native architectures, an improved focus on security and collaboration, and AI integration. These characteristics will result in faster, more reliable, and more efficient software development.
2. How can DevOps Engineers take benefit from AI?
AI is making changes and becoming an integral support to many industries. DevOps can also use AI to enhance software development speed.
- AI can also be used for
- Improving the CI/CD process with the support of AI
- Using AI for test automation
- Code generation and correction
- Advanced vulnerabilities deduction
AI in DevOps will help DevOps engineers can improve their expertise in AI and implement it in DevOps to reap multiple benefits in the software development industry.
3. Is DevOps a good career?
Yes, DevOps is a good career choice. The increased adoption rate provides a stable future. DevOps knowledge can help increase salaries and create job opportunities in competitive industries.
Knowledge through a complete DevOps roadmap can improve the skills of software developers and testers by providing an understanding of the processes involved in software development. This approach can enhance cross-functional team collaboration and the efficiency of their actions, resulting in improved quality outcomes.
4. What are the job roles available after the DevOps course?
After completing the Devops training, there are multiple DevOps jobs opportunities.
Entry Level Roles
- Junior DevOps Engineer
Intermediate Level Roles
- DevOps Test Engineer
- DevOps Cloud Engineer
Senior Level Roles
- DevOps Architect
- DevOps Team Lead
- Head of DevOps
- Vice President of DevOps
These diverse roles and increased chance of placement make the DevOps career roadmap safe and secure.
5. How long does it take to become a DevOps engineer?
Depending on your educational background and experience, you may need more than 6 months to become a DevOps engineer. To enter the industry as a DevOps engineer, you must follow the DevOps learning roadmap.
You can join a DevOps course from the best training institute to get the professional training required. The DevOps course will be taught online for four months at StarAgile. You will gain an understanding of DevOps and knowledge of the tools and processes involved. The training will include a capstone project to give you practical experience.
At StarAgile, if you are performing well in training, holding good attendance, and clearing the competency test during the training, you will get placement support for 2 months. This devops engineer roadmap will provide a good job opportunity.
Mention some of the most essential DevOps engineer skills.
DevOps requires specific mandatory skills to make the implementation smooth and successful. DevOps engineers require knowledge of coding, CI/CD, and scripting. They also require knowledge of automation testing. Soft skills like communication and cross-functional team collaboration are essential for DevOps.
6. What are the critical roles of DevOps engineers?
DevOps engineers perform the following important roles in software development industries.
- Managing the CI/CD pipeline
- Regularly monitoring and analysing.
- Take care of the release of the software
- Looking after the security integration
- Streamlining complex development processes
- Creating communication between development and operational teams.
- Maintaining the reliability
These roles help bring maximum output to the software development industry.
7. What are the 5 phases involved in DevOps?
These are 5 phases in DevOps.
- Continuous Development
- Continuous Testing
- Continuous Integration
- Continuous Deployment
- Continuous Monitoring
8. What are the processes involved in the DevOps lifecycle?
DevOps lifecycle includes the following phases.
- Plan
- Code
- Build
- Test
- Deploy
- Operate
- Feedback
All these processes complete the DevOps lifecycle.
