In today's fast-paced technological landscape, the traditional methods of software development and delivery are often too slow and cumbersome to keep up with the demands of modern businesses. The ever-increasing need for rapid deployment, continuous updates, and resilient applications has led to the evolution of software development practices. One of the most significant advancements in this area is the adoption of DevOps—a set of practices that combine software development (Dev) and IT operations (Ops) to shorten the development lifecycle and provide continuous delivery with high software quality.
What is DevOps?
DevOps is basically a software development strategy that bridges the gap between the development team and the operations team. DevOps is a term for a group of concepts that not all new half catalyze into a movement and rapidly spread throughout the technical community. It is a practice of operations and development engineers participating together in the entire software life cycle from design through the development process to production support.
DevOps is not a technology, It is a methodology.
Thus, it is a practice that is dedicated to the study of building, evolving, and operating rapidly changing systems at scale.
Why DevOps
Traditionally, instead of DevOps Methodology, there was a Waterfall model and Agile methodology.
Waterfall model
The waterfall model is a project management methodology based on a sequential design process. It finishes one phase before another phase can begin. It is developed as a software development lifecycle model. It lends itself to projects that are small in size and whose requirements can be determined upfront. A simple waterfall mode has 6 phases :- Requirement, Design, Implementation, Verification, Deployment, and Maintenance. But it isn't suitable for all projects.
Limitations of the Waterfall Model
High amounts of risk and uncertainty.
It is not a good model for complex and object-oriented projects.
Not suitable for projects where requirements are at a moderate to high risk of changing.
No working software is produced until late during the life cycle.
Once an application is in the testing stage, it is very difficult to go back and change something that was not well thought out in the concept stage.
Agile methodology
It is a software development methodology that promotes shorter development life cycles and where there is a feedback loop that prioritizes the customer feedback and changes that need to be made according to it. It is a full spiral process.
Limitations of Agile Methodologies
Agile methodology is a sprint-based working, so if any changes occur, it can be cleared only after the sprint period which may take much time.
There are a lot of conflicts between the development team and the operations team of the company because the deployment is not properly done.
Inconsistency in computing environment.
Agile methodology made the deaf part of the company (that is unresponsive, resistant to change, or not effectively communicating and collaborating) pretty agile but on the off side of the company they needed some solution in order to solve the problem.
Manual deployment
So, to discard all these limitations of agile methodology and waterfall model the only solution is DevOps.
Skills You Need for a Zero to Little Coding DevOps Career
Role | Description | Skill Set Required | Coding Interest |
Business Analysts | Analyze business needs and ensure that DevOps practices align with organizational goals. | Analytical skills, understanding of DevOps and IT infrastructure. | None to Low |
System Administrators | Manage and configure IT infrastructure, focusing on automation and deployment processes. | Scripting, server management, cloud services, monitoring tools. | Moderate to High |
Technical Writers | Create and maintain documentation for DevOps processes, tools, and best practices. | Writing skills, understanding of DevOps concepts and tools. | None to Low |
Release Managers | Oversee the release process, ensuring smooth and timely deployment of software. | Project management, CI/CD tools, and communication skills. | Low to Moderate |
Security Engineers | Implement and maintain security protocols within the software development and deployment cycle. | Security tools, threat analysis, compliance standards. | Low to Moderate |
Cloud Engineers | Design, deploy, and manage cloud-based infrastructure and services. | Cloud platforms (AWS, Azure, GCP), automation, networking. | Moderate to High |
DevOps Engineers | Bridge the gap between development and operations, focusing on automation and continuous delivery. | CI/CD tools, scripting, cloud services, containerization (Docker). | Moderate to High |
IT Support Specialists | Provide technical support for IT infrastructure and applications, focusing on operational efficiency. | Troubleshooting, system administration, basic scripting. | Low to Moderate |
Network Engineers | Manage and optimize network infrastructure, integrating with cloud and automation tools. | Networking protocols, security, cloud services, and monitoring tools. | Low to Moderate |
Impact of DevOps
DevOps is a culture that emphasizes cooperation between Dev & Ops Teams and automation of the whole process. A lot of companies like Amazon, Walmart, Sony Pictures, Netflix, Ola, Grofers, Adobe, Flipkart, etc… all these big enterprises are using DevOps to automate all of their processes, increase the collaboration between the developers and the other teams, etc. Once a company starts using DevOps the whole quality of the product increases and also the whole cost efficiency also increases by making the product more efficient and making more profits.
Stages involved in DevOps
Stage | Purpose | Tools |
Planning | Define project scope, requirements, and roadmap | Jira, Confluence, Trello |
Source code management | Version control of code, collaboration | Git, GitHub, GitLab, Bitbucket |
Build | Compile and package code into executable artifacts | Maven, Gradle, Ant |
Continues integration | Automate code integration and testing | Jenkins, Travis CI, CircleCI, GitLab CI/CD |
Configuration Management | Manage infrastructure and configurations | Ansible, Chef, Puppet, SaltStack |
Containerization | Package applications and dependencies into containers | Docker, Podman |
Continuous Delivery/ Deployment | Automate the release of code to production | Jenkins, GitLab CI/CD, Argo CD, Spinnaker |
Infrastructure as code | Automate infrastructure provisioning | Terraform, CloudFormation, Pulumi |
Monitoring | Track application and infrastructure performance | Prometheus, Grafana, Nagios |
Logging | Collect and analyze logs from applications and servers | ELK Stack (Elasticsearch, Logstash, Kibana), Splunk |
Security | Ensure security at every stage of the DevOps lifecycle | SonarQube, Snyk, Aqua Security, Twistlock |
Collaboration | Facilitate communication and collaboration | Slack, Microsoft Teams, Mattermost |
Benefits of DevOps
Transparency
Predictable costs and schedule
Allows for change
Improves quality
Speed
Delivery
Reliability
Collaboration
Security
Greater automation
Advantages of Opting DevOps as a career
Very less coding
Easy to learn
High salary ( Average salary is 15 lakhs)
Career Advancement
High demand
Competitive salaries
Diverse career opportunities
Skill enhancement
Collaborative work environment
Impactful work
Job satisfaction
Innovation and creativity
Flexibility and remote work
Interdisciplinary knowledge
Contribution to company success
Adaptability to market changes
Community and networking
Focus on automation
Resilience and reliability
Better work-life balance
Key Skills for a DevOps Career
Understanding of DevOps principles: grasp the core concepts and principles of DevOps, including continuous integration, continuous delivery, and automation.
Proficiency with DevOps tools: Familiarize yourself with popular DevOps tools like Jenkins, Git, Docker, and Ansible for automation, version control, and containerization.
Configuration management: Learn tools like Ansible or Puppet to automate infrastructure provisioning and configuration management.
Basic scripting skills: Acquire basic scripting skills in languages like Bash, PowerShell, or Python to automate routine tasks and configuration.
Cloud computing knowledge: Understand cloud platforms like AWS, Azure, or Google Cloud Platform (GCP) to deploy and manage infrastructure in the cloud.
Containerization: Learn about Docker for containerization and its orchestration tool Kubernetes to deploy and manage containerized applications.
Understanding of CI/CD pipelines: Grasp the concepts of continuous integration and continuous delivery pipelines to automate software delivery processes.
Monitoring and logging: Familiarize yourself with monitoring tools like Prometheus and Grafana, as well as logging tools like ELK Stack, for tracking system performance and troubleshooting.
Soft skills: Develop strong communication, collaboration, and problem-solving skills to work effectively within cross-functional teams.
Continuous learning: Stay updated with the latest trends, technologies, and best practices in the DevOps domain through continuous learning and self-improvement.
A work day in the life of a DevOps engineer
Steps to start preparing for a DevOps career
Understand DevOps: Learn the core principles and concepts of DevOps, emphasizing collaboration, automation, and continuous delivery.
Learn DevOps tools: Familiarize yourself with popular DevOps tools such as Git, Jenkins, Docker, and Terraform.
Gain basic coding skills: Learn scripting languages like Bash or Python to automate tasks and understand basic programming concepts.
Explore cloud platforms: Gain hands-on experience with cloud platforms like AWS, Azure, or Google Cloud to understand cloud infrastructure and services.
Practice automation: Start automating repetitive tasks using scripts and tools to streamline processes and workflows.
Build projects: Create personal projects or contribute to open-source projects to apply your DevOps skills in real-world scenarios.
Continuous learning: Stay updated with the latest trends, technologies, and best practices in DevOps through courses, blogs, and workshops.
Networking: Connect with professionals in the DevOps community, join forums, attend meetups, and participate in online discussions to expand your network and learn from others.
Seek hands-on experience: Look for internships, freelance projects, or entry-level positions that offer hands-on experience in DevOps practices and tools.
Certifications: Consider pursuing relevant certifications like AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or Docker Certified Associate to validate your skills and enhance your credibility.
Potential job roles in DevOps.
Job Position | Average Salary |
Associate DevOps Engineer | ₹3 to ₹12 lakhs per annum |
Junior DevOps Engineer | ₹3 to ₹12 lakhs per annum |
DevOps Engineer | ₹4 to ₹15 lakhs per annum |
Senior DevOps Engineer | ₹7 to ₹30 lakhs per annum |
Lead DevOps Engineer | ₹11 to ₹49 lakhs per annum |
DevOps Architect | ₹13 to ₹50 lakhs per annum |
DevOps Manager | ₹15 to ₹50 lakhs per annum |
DevOps Manager | ₹15 to ₹50 lakhs per annum |
Conclusion
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