In the world of Software Development, the word “DevOps” seems like an emerging topic. As the word is gaining popularity, likewise, the responsible DevOps is also getting a good grab in the IT Infrastructure. DevOps can prove to be very helpful in making the team ranging from developers to the testers and make sure to work seamlessly in order to automate the routine tasks. In this regard, the fashion of learning scripting in DevOps is widely getting into the trend.
DevOps generates the results in simplifying the organizational task to make it more dynamic, flexible, and effective. This simplification of the process is required to check on every aspect of the organization. Its ever-growing organization utilizes too many resources and restores the overall flexibility of the development team.
To sustain the Software Development industry, one needs to learn new skills at a regular interval to get updated and beat the competition. Apart from that, it might be possible that DevOps Engineers need to do the coding from scratch, that’s why they need to know about it. Therefore, a variety of DevOps Scripting Languages required to be picked by the DevOps.
Here, let us take a look at popular DevOps Scripting Tools/Languages to help you get started.
Languages for Scripting in DevOps
- Python Scripting in DevOps: In IT Infrastructure, Python has become an all-purpose language. It is required to build Cloud Infrastructure Projects like OpenStack. It also supports Web Applications through Framework like Django. Python is a great language platform that can offer a wide range of uses.
Therefore, Python is considered as the first DevOps scripting language you should learn. The 3 main reasons behind the popularity of Python as a starter for scripting in DevOps are;
- Easy to Learn: Frankly speaking, no language is so easy that you will become an expert in Python overnight. However, relatively Python is easier to start learning with as compared to other languages. The syntax used in Python is more “human-readable” than the lower-level languages. Hence, you can build something valuable without learning the intricacies of Object-Oriented Programming.
- Enables Automation: The main aim of DevOps Scripting is to automate the work. The maximum elimination of manual work is always good. So, in this respect, Python can help implement CI/CD (Continuous Integration / Continuous Delivery) or configuration management efforts with various DevOps tools like Jenkins, Chef, and Ansible.
- Areas where Python can be used: Python can be used to develop the Business Application like ERP. It comes with inbuilt libraries to handle the Internet Protocol like HTML, JSON, and XML. Python can also be used to develop user interfaces.
- Bash Scripting: Bash is one of the most frequently used Unix Shell Scripting and provides good support. Bash Scripting and Shell Scripting languages support thousands of Linux systems around the world. As well as, it is available for Windows and Mac Operating Systems too.
Bash Scripting is a POSIX-compliant shell but is available with several extensions. Though Bash Scripting is an implementation of the POSIX.2 shell specification, as well as there, are areas where the usual default behavior differs.
The command shell programming and shell scripting language of Bash is used to automate the process of ‘N’ number of Linux Servers around the world.
- Ruby: Ruby is another DevOps Scripting language that offers a lot of versatility. Likewise, Python is another DevOps Scripting tool to start learning. It is commonly used for Web Development, but it is also an excellent tool for IT Infrastructure.
It provides a flexible approach towards programming as the DevOps can make numerous alterations in the parts of scripting to fulfill the requirements. Many IT Infrastructure projects use Ruby, as ManagelQ is a Ruby on Rails App.
The amount of flexibility Ruby provides, which makes this a great skill to add for DevOps Automation Scripts. As it gives DevOps more freedom when it comes to writing codes. Apart from that, Ruby has many other features as well, like any other conventional programming languages.
Originally the Ruby implementation was done in the form of Matz’s Ruby Interpreter (MRI). However, there are many other ways of implementation as well i.e., JRuby, MagLev, IronRuby, MacRuby, mruby, HotRuby, Topaz, and Opal.
- C/C++: C/C++ both are High-Level Programming Languages. As you will be amazed to learn that C++ is the third most used and popular language after C Language and Java. If an agile DevOps is looking to create high-performance, optimized code then, C/C++ would be a great choice for you.
However, it may lead to a number of challenges in implementing C/C++ DevOps environments. It may also give a representation that the compiled codebases are often too large and not very portable.
Without a doubt, during all these years, many DevOps Programming Languages have come and gone. Still, C Language has remained one of the most popular programming languages of more than half a century.
Though C/C++ both have few pros and cons, yet it remains the most learned language among the DevOps.
Pros – C/C++ offers fast and high performance and works as a foundation for modern computing.
Cons – It’s size is comparatively larger than languages like Go or Ruby in magnitude. Therefore, it requires more compilation time in C/C++. The Application Binaries produced by C are not portable.
- Go: The Go DevOps Scripting tool was introduced in 2009 and has made quite a good impact in the market since its inception. DevOps Programming Language ‘Go’ was built on the foundation of C Language. The designers of Go, DevOps Programming Language, were more focused on making a statically typed language that is easy for humans to read but can also work well at scale.
The language is a wonderful choice of programming language for DevOps as it offers excellent performance. Unlike C Language, it is a very portable language and handles concurrency as well.
The only drawback Go is facing is that it is new in the market and lack of track record. Because not many DevOps are familiar with this language. However, it doesn’t mean the language is not good for DevOps. It is a very good language and useful language for DevOps.
Overall it is a good technology for DevOps to learn as it easily supports a number of important web technologies, such as Kubernetes, Docker, and others as well.
How is DevOps making IT Infrastructure more Scalable?
In technical terms, talking about scalability means defining the exact capability of the system. As well as, it can easily increase to accommodate the ever-changing needs of the world. With the evolving trend and customer dependency on your service makes it mandatory to ensure scalability. It may make you redesign or rethink your processes and system in a different manner.
With the market evolution, the demands of customers are also evolving rapidly. Hence, to attract new customers, the prime focus of IT companies is to prepare comprehensive strategies that can focus on scalability.
Hence, for companies, it would be a great call to invest in DevOps related time and dollars. So, to analyze how the DevOps are making IT Infrastructure more Scalable, here are a few points that can assist in creating a scalable, secure, and high-performance deployment.
- Proper Monitoring: While performing any task or working on any project, it is imperative to keep an eye over every small or big change. So, the sooner you catch a problem, the easier it will get fixed and can minimize the damages. By continuously monitoring the DevOps can work effectively and can also get instant updates over any type of issues like bugs, errors, or situations that could cause the product to crash. With this monitoring, one can easily cut down and save their costly technical debts.
- Collaboration and Organization: DevOps usually depends on the ability of the Agile DevOps teams and the IT Operations team to collaborate properly in an ongoing manner. Collaborative work ensures the proper solutions are to be done and to be delivered faster and more efficiently. The proper collaboration and organized way of working in IT infrastructure will present the operational personal and their capability as an art.
- Proper Deployment: After having proper monitoring and collaboration, it requires the proper deployment of codes. The continuous deployment allows the release of code into production automatically after completion of the Testing Phase successfully. It is one of the ways to improve the quality of the software in real-time. This always allows users to access the latest version of the product.
- Automate Everything: The smart and Agile DevOps can easily recognize that manual processes work negatively for fast value delivery, safety, and high productivity. However, automation is not only about saving time and money. Automation enables the creation of quick processes for repeatable environments. Hence, this becomes easy to understand, improve, secure, and audit. Automation also eases the process of learning and response to market demand and customer feedback.
Application and Agile Life cycle management tools make a standardized environment for communication and collaboration between the DevOps Team and related groups.
Automated Testing tools include unit testing, acceptance testing, load testing, and performance testing.
- Lean Flow: Agile DevOps and trained used to strive to achieve a continuous state of flow. Visualized and limited Work in Progress helps the team to identify the bottleneck situation and manage the amount of work in progress on the available development and operations capability.
Another way to improve the workflow is to minimize the batch sizes of the work. Small batches in the system can move fast into the system with less variability. It also supports faster learning and frequent deployments. This eventually led to investment in maintaining IT Infrastructure and automation, which automatically reduces the transactional cost of each batch.
- Automatic Data Backup: Automatic updation of critical data ensures the security and the integrity of your services. Automated data backup implementation and restoration process or your IT infrastructure to protect your code and save your time and expense, which will require to recreate the things again and exactly the same.
- Ease of Use: Scripting in DevOps is overall about the data automation and repetitiveness. However, there are few tools that are capable of automating the building and configuration of VMs. So, make sure the tools go hand-in-hand with your available resources. As a matter of fact, at the end of the day, it is only about how you make your product installation and configuration process easier.
- Enables Low-Risk Release: In order to support the continuous delivery pipeline and the concept of release on demand. The system needs to be designed for the low-risk component or the service-based releasability, deployability, and instant recovery from operational failure. However, there are a few more techniques that support fast recovery.
- ‘Stop-the-line’ mentality: The ‘stop-the-line’ mentality allows everyone to focus on it until the problem gets resolved. When there is an issue with the continuous delivery pipeline or the deployed solution, this method needs to be applied. This turns findings into improvements that are integrated into the process or product to prevent the problem from getting repeated in the future.
- Plan for and Rehearse Failures: When we talk about large IT infrastructure, failure is guaranteed despite small industries where failure can be considered as an option. However, going with a proactive approach while experiencing the failure will definitely increase the team’s response practice and lead them to be attentive as well.
- Build Capable Environment to fix forward or rollback: There is no doubt that any DevOps doesn’t commit any mistake or error. Due to this mistake, the server may fail. Hence, the team needs the capability to fix the issues quickly, and wherever it is necessary, it can roll back to a prior known good state.
Goals for Scripting in DevOps
From a project planning to the project delivery, the major goal of DevOps always remains to improve collaboration during the period by developing and automating the continuous delivery pipelines. To achieve the targets, the DevOps need to follow the following goals:
- Improve the quality and increase the frequency of deployments.
- Improve innovation and risk-taking by making it safe to experiment.
- Releases faster time to the market.
- Improves the quality of the solution provided and minimizes the lead required to fix the issue.
- Reduce the serious issue arousal and frequency of failures in the released product.
- Improve the Mean Time of Recovery (MTTR).
The DevOps is becoming more and more popular and in-demand with each passing day. So, it is important for each DevOps to add the appropriate programming skills, which can be a great advantage to your career. You are not supposed to learn every language, but having to grab over a skill set is important. Though having an appropriate language skill grab can lead you to a good company and become a good developer. A good developer can prove to be a great asset to the company and can also grab the opportunity to work over a variety of projects. Apart from that, it can enhance your skills and contribute appropriately to the growth of the company.
If you are equipped with such skills then we can work together or if you are looking for experienced and highly-skilled DevOps Scripting Engineers to develop or transform your business then EngineerBabu is a great destination for you. You can hire DevOps Engineers at a very affordable price and experience the quality services. at any time.