For people wishing to join or move into a DevOps career, the word “coding” can frequently be frightening in the DevOps environment. Many people might be curious about whether previous DevOps coding expertise is required to work as a successful DevOps engineer. We’ll discuss the idea of coding in DevOps Essentials in this blog article, but we’ll refer to it as “automation” to make it sound more approachable.
We’ll talk about the value of automation in DevOps and look at the particular automation jobs that fall within the purview of an engineer. We will also explore the programming languages frequently used in DevOps and their importance in many facets of the industry. By the end of this post, you will learn more about the fundamentals of DevOps coding, or coding for DevOps, and how it connects to programming languages and automation.
Automation’s Significance in DevOps
A key component of becoming a DevOps engineer is automation. You should anticipate being asked about your automation experience and abilities during interviews or when working in a DevOps Essentials and capacity. Businesses use automation to increase productivity, optimize workflows, and guarantee dependable and consistent deployments. As an engineer, your role is to automate various tasks throughout the software development lifecycle, from code integration to deployment and maintenance.
Automation plays a significant role in continuous integration (CI) and continuous delivery (CD) processes. Let’s take a closer look at how automation fits into the world of DevOps.
Automation Tasks in Continuous Integration (CI)
Continuous integration is a practice that involves frequently merging code changes into a shared repository to detect integration issues early. Unit test integration and execution are examples of jobs that you will automate as a DevOps engineer in charge of continuous integration (CI) operations. You will go on to the next stage if the unit tests pass. You will let the developer know if they don’t work. Automation is a component of this whole CI process.
After the CI process is completed, you will have an artifact, such as a JAR file. The next step is automating how to securely place that artifact in an artifact repository using API calls or OAuth authentication. This automation ensures that artifacts are stored in a controlled and organized manner for easy access and retrieval.
Automation Tasks in Deployment
The next step is to automate the artifact’s deployment to production or non-production/staging environments when it has been added to the artifact repository. This might entail building Python modules for configuration management systems like Puppet or Chef, or it could entail provisioning infrastructure using tools like Ansible. For cloud deployments, you would use tools like Terraform or CloudFormation to automate creating launch configurations or images.
Automating deployment tasks ensures consistency and reliability in the deployment process. It eliminates manual errors and allows for easy replication of environments across different stages of development.
Automation Tasks in Server Maintenance
One of the responsibilities of a DevOps engineer is to manage servers and make sure they are healthy, scalable, and capacity-planned. This may require automating procedures such as using Python and serverless apps to label EC2 instances, as well as examining logs from cloud services like CloudWatch.
Automating server maintenance tasks allows for proactive monitoring and troubleshooting, ensuring that servers are running smoothly and efficiently.
DevOps Programming Languages
Now that we have explored the importance of automation in DevOps coding, let’s discuss the programming languages commonly used in the field. While you don’t need to be an expert in all programming languages, having a good understanding of a few key languages will greatly benefit you as an engineer.
Python
Python is one of the most commonly used languages in DevOps Essentials due to its simplicity, readability, and extensive library support. It is widely used for scripting for DevOps, automation tasks, and working with various APIs. In DevOps Essentials, you will often find yourself writing Python scripts to automate tasks such as infrastructure provisioning, configuration management, and log analysis coding for DevOps.
Bash Scripting
Bash scripting is another language widely used in coding for DevOps, especially for automating tasks on Linux servers. Bash is the default shell for most Unix-based systems, making it a powerful tool for interacting with the command line, managing file systems, and performing system administration tasks.
Infrastructure-as-Code Languages
For infrastructure provisioning, configuration management, and coding for DevOps, languages like Ansible, Puppet, and Chef are commonly used. These tools provide domain-specific languages (DSLs) for defining and managing infrastructure as code. While you don’t need to become an expert in these DSLs, having a basic understanding of how they work and being able to write simple configurations will be valuable.
Cloud Platform SDKs
When working with cloud platforms like AWS, Azure, or Google Cloud, knowing how to work with their respective SDKs or command-line interfaces (CLIs) can be crucial. Depending on the platform and your preferences, this may involve using languages like Java,.NET, or Node.js.
Git
Knowledge of version control systems, such as Git, is important for DevOps engineers. Git allows you to track changes in your codebase, collaborate with team members, and manage different versions of your applications. Understanding how to use Git effectively can greatly improve your productivity and help streamline your development workflow.
Other Languages
Other languages that are becoming more and more popular in the DevOps Essentials field are JavaScript, SQL (Structured Query Language), and Go (Golang). Go is renowned for being easy to use, effective, and having robust support for concurrent programming. While JavaScript is frequently used for front-end programming and server-side scripting for DevOps with tools like Node.js, SQL is utilized for maintaining and accessing relational databases and scripting for DevOps.
Conclusion
In conclusion, it’s critical to realize that you don’t have to be an excellent coder from the start, even if automation and coding are crucial skills for DevOps engineers. You may progressively improve your DevOps coding abilities and turn into a skilled engineer by studying the appropriate programming languages and concentrating on automation chores related to your position.
Keep in mind that in the DevOps environment, learning new technologies and tools and adjusting to them is essential. You can succeed in this fast-paced industry if you put in the effort and keep getting better. Accept automation as a way to increase productivity and optimize procedures while utilizing the programming languages most appropriate for your assignments and projects.
Keep exploring new technologies, stay curious, and never stop learning. The world of DevOps offers endless opportunities for growth and innovation!
