RoadMap for DevOps Engineer 2023

DevOps is a combination of culture and practices that, together, collaborate to create communication between the developers and operation teams to automate the entire process of software delivery with infrastructure management. This article outlines the various essential requirements to become an effective DevOps Engineer. The necessary skills for a DevOps Engineer are outlined as follows:

Learn Git

Git is a version control system. The two most popular Git platforms are GitHub and GitLab. Git is an open-source tool for source code management. It is mainly used for different purposes like:

1. Tracking code changes
2. Who made the changes in the code?
3. Collaborating changes

Sources:

Learn Git – Tutorials, Workflows and Commands | Atlassian

Learn Git Branching

Learn a Programming Language

It is always recommended to know one programming language for scripting automation tasks. Python, JavaScript, and Go languages are very popularly used DevOps programming languages.

Python, an interpreted language where code is executed as soon as it is written, is easier to code for a new programmer.

Sources:

Python Crash Course by ehmatthes

Eloquent JavaScript

Learn Linux and scripting

As a DevOps practice, the servers use the Linux Operating System (OS), and as a newbie, we must be comfortable with Linux and its Command Line Interface (CLI).

An OS acts as a bridge between a computer user and hardware. Its function is to make users convenient and effective for programs. One easy way is to start with Ubuntu OS.

Additionally, we must know about scripting for automating tasks for development and operations.

Sources:

The Shell Scripting Tutorial – The Shell Scripting Tutorial

https://kodekloud.com/learning-path/linux/

Learn Networks and Security

Network protocol is a set of rules that determine how data is transmitted between different devices in the network.

The networking protocol allows the connected devices to effectively communicate with each other, irrespective of any internal differences with respect to structure, processes, or design.

It is important to know how to configure firewalls, how Domain Name Servers work, IP addressing modes, OSI model details, and port mapping.

Sources:

TCP/IP & Networking: Fundamentals for IT Pros | Pluralsight

Learn Containers

A Container is a standard unit that combines the code packages and all their dependencies so that the application runs quickly and reliably from one computing environment to another.

Docker containers are the most popular used container technology today. Docker container image is a lightweight executable package of software that includes everything to run an application: runtime engine, code, system tools, and system libraries.

Sources:

Learning Containers From The Bottom Up (iximiuz.com)

Learn Container Orchestration

Container Orchestration automates the management, deployment scaling, and networking of containers. Container orchestration helps us to deploy the same application across different environments without making any further changes to the design.

Microservices make it easier to orchestrate services that include networking security and storage.

Here is a complete walkthrough on how Kubernetes – a container orchestration tool can be implemented to administer the Kubernetes cluster and deploy applications.

Sources:

Primer: How Kubernetes Came to Be, What It Is, and Why You Should Care – The New Stack

https://devopscube.com/kubernetes-tutorials-beginners/

Learn Infrastructure as a code!

It is also called IaC, which includes all the tools to define the Infrastructure using mark-up languages like YAML or JSON. Terraform is the most popular IaC tool for infrastructure management. AWS CloudFormation is another popular AWS service for managing automated infrastructure creation on the AWS cloud.

IaC allows the developers to automate the environment set up across different environments.

Sources:

A Comprehensive Guide to Terraform | by Yevgeniy Brikman | Gruntwork

Learn CI/CD

Continuous Integration / Continuous Deployment (CI/CD) is essential to deliver applications to customers by introducing automation at various stages of the Software Development Life Cycle (SDLC), from the first stage of Integrating code to the code deployment.

These connected operations, often referred to as a CI/CD pipeline, help in the quicker release of the application software. Customers can plan faster releases of products using the CI/CD pipeline.

Sources:

CI/CD Pipeline: A Gentle Introduction – Semaphore (semaphoreci.com)

Learn GitLab with tutorials | GitLab

Monitoring and Observability

Monitoring involves overseeing the software development process from planning, development, code integration, testing, and deployment.

Monitoring involves a complete real-time view of the status of applications, Infrastructure, and services running in the production environment. Monitoring applications becomes very important for tracking all the issues in our Infrastructure and applications.

The most popularly used tools are Prometheus and Grafana.

Sources:

DevOps Monitoring | Atlassian

What Is Observability? Comprehensive Beginners Guide (devopscube.com)

Learn one Cloud Platform

Cloud providers provision the Infrastructure based on the security and cost usage. All the cloud services run on the servers within the data centers.

The ability to quickly provision the Infrastructure, configure the environment, and secure the accounts has contributed to handling complexity in the current software industry.

The most popular cloud providers in today’s market are AWS, Azure, and Google Cloud.

Sources:

AWS Developer (pluralsight.com)

Conclusion

In conclusion, mastering Git, programming languages, Linux, networks, containers, orchestration, Infrastructure as Code (IaC), CI/CD, and cloud platforms is crucial for DevOps Engineers in 2023. The outlined roadmap emphasizes the need for comprehensive skills, ensuring proficiency in automation, security, and efficient software delivery. This diverse skill set equips professionals to navigate the evolving landscape of DevOps with efficiency and adaptability.

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