If you ask about coding in DevOps , I didn’t say completely no but as a DevOps engineer at Tata, we just to view the flow of code .
we all know DevOps is a methodology not a programming language that consists of Development and operations.
In this method professional coder involve with process to get the product or software in market more efficiently and responsive.
Let me clearly convey this message DevOps is the middle ware position of both Operation team and development team , who involved in the agile process of model in which following steps are taken to give the result .
- Deployment of code
- Operate their version (Which is ready to use)
These are the steps wise process in which a DevOps engineer /Admin ensure the process .
A DevOps engineer salary worldwide :
It’s important to note that salaries can vary significantly depending on factors such as location, years of experience, company size, industry, and specific job responsibilities.
That being said, DevOps professionals are generally in highly demanded, and their salaries tend to be competitive. Here are some approximate salary ranges for DevOps engineers in different regions of countries :
- United States:
- Entry-level: $70,000 to $100,000 per year
- Mid-level: $100,000 to $150,000 per year
- Senior-level: $150,000 to $200,000+ per year
- United Kingdom:
- Entry-level: £30,000 to £45,000 per year
- Mid-level: £45,000 to £70,000 per year
- Senior-level: £70,000 to £100,000+ per year
- Entry-level: CAD 60,000 to CAD 80,000 per year
- Mid-level: CAD 80,000 to CAD 110,000 per year
- Senior-level: CAD 110,000 to CAD 150,000+ per year
- Entry-level: AUD 70,000 to AUD 90,000 per year
- Mid-level: AUD 90,000 to AUD 130,000 per year
- Senior-level: AUD 130,000 to AUD 180,000+ per year
these are the list of top highly demanded DevOps engineer across the world .
Before moving to another form Let’s know about DevOps .
What is DevOps ?
DevOps is a term that combines “development” and “operations.” It represents a set of practices, cultural philosophies, and tools that aim to improve collaboration, communication, and efficiency between software development teams and IT operations teams within an organization.
In the past, software development and IT operations were seen as separate with different goals. Developers created software, while operations teams handled deployment and maintenance. This caused problems like slow releases, communication issues, and trouble fixing problems.
DevOps came about to address these issues by promoting teamwork between development and operations teams throughout the software development process.
It focuses on collaboration, automation, continuous integration and delivery(continuous deployment) (CI/CD), and a shared responsibility for delivering software.
Some key principles and practices associated with DevOps include:
Certainly! Here are ten simple sentences describing the key principles of a DevOps engineer:
- DevOps engineers emphasize collaboration and teamwork between software development and IT operations teams.
- Automation is a central principle, as DevOps engineers aim to streamline and simplify repetitive tasks through scripting and tools.
- Continuous integration and delivery (CI/CD) is key, ensuring that code changes are integrated and deployed frequently and reliably.
- Infrastructure as Code (Iaac) is used to manage and provision infrastructure resources through version-controlled code.
- DevOps engineers focus on monitoring and observability to gain insights into application performance and identify issues proactively.
- They foster a culture of continuous learning, encouraging experimentation and the adoption of new technologies.
- Security is embedded into every stage of the software development lifecycle, with a focus on automation and best practices.
- DevOps engineers strive for scalability and resilience, designing systems that can handle high loads and quickly recover from failures.
- Ultimately, the core principle of a DevOps engineer is to deliver high-quality software rapidly and reliably by bridging the gap between development and operations teams.
Does DevOps require mathematics in process ?
DevOps doesn’t necessarily need advanced math, but some parts of it may use basic math depending on the tasks involved.
Here are a few examples where math could be used:-
- Capacity Planning –> To estimate and calculate resource requirements, such as server capacity, network bandwidth, or storage needs.
- Performance Monitoring and Analysis –> Sometimes DevOps engineer monitor and analyze system performance metrics, such as response times, throughput, or error rates through statistics.
- Automation and Scripting –> Need some automation tasks may involve scripting or writing code.
- Data Analysis and Visualization –> they sometimes need to analyze large datasets or logs to analyze trends, identify patterns, or generate visualizations. Basic data analysis techniques, such as filtering, aggregation, or simple statistical measures, may be employed.
Can a beginner learn DevOps?
Answer – Yes, a beginner can certainly learn DevOps. DevOps is not limited to individuals with extensive experience or expertise. In fact, it is a field that welcomes beginners who are willing to learn and acquire the necessary skills to become DevOps engineer/Admin.
What are prerequisites of DevOps?
While there are no strict prerequisites for learning DevOps, Here are some prerequisites that can help you in your journey to learn DevOps:
- Basic understanding of software development: Familiarity with programming languages, software development processes, and version control systems (e.g., Git a version control tool ) can provide a solid foundation for understanding the development aspect of DevOps.
- Knowledge of operating systems and IT infrastructure: Understanding the basics of operating systems (e.g., Linux, Windows) and networking concepts (e.g., IP addressing, DNS, HTTP) will help you comprehend the infrastructure side of DevOps.
- Experience with scripting and automation: Proficiency in scripting languages like Bash, Python, or PowerShell can be valuable as automation is a key component of DevOps.
- Familiarity with cloud platforms: Basic knowledge of cloud computing platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) can help you understand the infrastructure-as-code and deployment aspects of DevOps.
- Knowledge of containerization and orchestration: Understanding concepts related to containerization technologies (e.g., Docker) and container orchestration platforms (e.g., Kubernetes) can be advantageous as they are commonly used in DevOps practices.
- Understanding of CI/CD principles: Familiarize yourself with the concepts of continuous integration (CI) and continuous delivery/deployment (CD). Learn about tools such as Jenkins, GitLab CI/CD, or Circle CI that enable automated testing, building, and deployment of software.
While these prerequisites can give you a head start, it’s important to note that they are not mandatory. DevOps is a multidisciplinary field that encourages learning and collaboration. You can gradually build your skills and knowledge in these areas as you progress in your DevOps journey.
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