Programming languages are among the most fundamental DevOps tools. Choosing the appropriate programming language(s) for your project is critical to achieving DevOps success and CI/CD.
With dozens of programming languages available, determining the best programming languages for DevOps may be difficult. Another concern is that the reputation of different languages differs by geographical location; this means that your impression of what constitutes the “ideal” programming language may be impacted by your location.
What is object-oriented programming?
Object-oriented programming, i.e., OOP, is a programming method that organizes software architecture around data instead of functions & logic. An object is a data field that has distinct functionalities and behavior.
OOP concentrates on the objects that programmers need to handle instead of the logic needed to do so. This programming style is ideal for large, sophisticated projects that are continually modified or maintained. This covers industrial and design software, as well as mobile apps.
Previously, IT companies had considerable challenges in providing excellent services along with agility and precision. However, the introduction of DevOps has accelerated this operation, resulting in a variety of solutions that IT organizations may use to provide engaging products and services in an error-free way. DevOps solutions have grown in popularity in recent years because they can bring together all activities of an organization and create dependable software with higher quality as well as faster delivery.
One of the primary benefits of DevOps is operational automation, but it needs engineers to have strong programming & scripting abilities. Because programming languages are employed in the fundamental creation of DevOps systems, it is correct to say that DevOps personnel must be knowledgeable in the appropriate programming languages.
Benefits of Object-Oriented Programming Language
- Modularity – Encapsulation allows elements to be self-contained, which simplifies troubleshooting & collaboration.
- Reusability – Because code may be inherited, developers do not have to repeat the same code many times.
- Productivity – Programmers may create new applications more quickly by utilizing various libraries and reused code.
- Simple to upgrade and scale – System features can be implemented separately by programmers.
- Descriptions of interfaces – Because message passing mechanisms are utilized for object communication, external software specifications are straightforward.
- Security – Encapsulation & abstraction are used to hide complex code, make software maintenance easier, and safeguard internet protocols.
- Flexibility – Polymorphism allows a single function to adjust to the class in which it is put. Various objects can also use the same interface.
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Programming languages that help achieve DevOps goals
Here are some of the top OOP languages that help DevOps in achieving its goals –
Python is an excellent option for DevOps operations. It is primarily used as a coding language but is much more user-friendly than some other similar-level programming languages. The idea of DevOps is to incorporate automation that can improve overall performance. Python integration minimizes dependency on manual effort and effectively and seamlessly automates activities.
Go is an excellent choice for DevOps for multiple reasons. It is a high-performance programming language based on the C language. Go was created with the intent to make use of concurrency, which is another speed improvement. Go is also quite portable. Although Go is a compiled language, it allows you to develop applications swiftly.
Ruby is somewhat similar to Python, although it has significant advantages. It’s an interpreted language, making it easy to apply in a variety of industrial applications. This functionality also allows Ruby to create and implement the scripts required for DevOps procedures simply. The programming language is widely used in web development and is an important part of infrastructure management.
Java is among the most widely used programming languages. Implementing Java in DevOps shortens the app development cycle. It is also capable of being operational shortly once the code is completed. Its adaptability makes it ideal for platform-building operations.
C/C++ are conventional computer languages that serve as the foundation for several critical technologies. It has several advantages over some other languages, including increased agility and quicker implementation. C is a traditional low-level programming language, while C++ is a superset of C with added object-oriented capabilities.
Perl is a high-level, dynamic, interpreted, and general-purpose programming language. It is helpful for GUI development, processing and text interpretation, online applications, and mainstream database integration, as well as high and low-level apps.
Scala has a lower learning curve since it is identical to Java, other than that, the complications encountered while executing applications on Java have been removed in Java. The programming language is made out of all of Java’s modular components.
What to Look for When Choosing a Programming Language
Let’s take a look at what DevOps engineers should look for when choosing a programming language.
To successfully achieve DevOps goals, you should strive toward the following features in your apps and software delivery methods:
- Scalability – This allows you to satisfy variable user demand.
- Efficiency, with regards to application performance as well as personnel time.
- Modularity improves programming efficiency and can aid in the development of micro services-oriented applications.
- High performance is required because DevOps should promote quality and a positive user experience.
- Familiarity, since you want your programmers to be familiar with the technology you deal with before they join the team, so they don’t need to learn anything from scratch.
- Portability, because the deployment environment or OS version you target today might make changes in the future, portability is essential.
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Regardless of the experience in IT technology and procedures, the DevOps Plus course delivers a thorough introduction to the discipline, covering all important principles, approaches, and tools. Beginning with a basic introduction to DevOps, it covers the fundamentals of virtualization, its advantages, and the several virtualization technologies that are crucial in both understanding and implementing the DevOps culture.
DevOps tools like Vagrant, Containerization, VCS, and Docker, as well as Configuration Management tools like Chef, Puppet, SaltStack, and Ansible, will be covered.
This DevOps course covers intermediate to advanced aspects. Get certified in DevOps and become acquainted with concepts such as the open-source monitoring tool Nagios, including its plugins, and the usage as a graphical user interface. The Advanced DevOps fundamentals are discussed in full, as well as Docker container clustering leveraging Docker Swarm & Kubernetes, in the CI/CD Pipeline Automation.
Our online DevOps training covers the following concepts –
- Introduction to DevOps
- GIT: Version Control
- Docker – Containers
- Puppet for configuration management
- Nagios: Monitoring
- Jenkins – Continuous Integration
- Docker Container Clustering using Docker Swarm
- Docker Container Clustering using Kubernetes
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This course requires just a basic grasp of programming & software development. These requirements are helpful but not compulsory because this all-inclusive training is aimed at newcomers and experienced professionals.