DevOps Roadmap 2024: 16 steps to Become a DevOps Engineer

Prerequisites and Qualifications

It’s better if you enrolled in any BE/Btech, BCA, or BSc in Computer Science, IT, or a major in Maths. If you are a self-taught developer or someone switching to IT you should focus on some technical subjects as

1. Operating System
2. Data Structures and Algorithms
3. Computer Networks
4. Distributed Systems (Advanced)

How to Become a DevOps Engineer

Step 1: Select a Programming Language

As a DevOps Engineer learning a programming language is very skillful because you will need to automate, integrate, and customize, or sometimes while automation you may encounter some complex issues. So having some knowledge about programming languages will surely help. Based on the project and requirements language may change but the idea remains the same in every language. Here are some top programming languages to choose from –

1. Python
2. Go

Step 2: Basics of Operating System (OS)

Operating systems are the foundation of computing environments, acting as the link between hardware and software. To effectively manage the applications and optimize infrastructure and deployment pipelines DevOps Engineers must be well-versed with Operating Systems before moving to any other technology.

1. Windows
2. Linux
3. Ubuntu / DebianRHEL / Derivatives: It is widely used in enterprises and derivatives like CentOS and Fedora offering similar features and compatibility.SUSE Linux: SUSE Linux is favored for the enterprise-grade support it provides.
4. UnixFreeBSD: FreeBSD is good with performance?OpenBSD: OpenBSD is good with securityNetBSD: NetBSD is good with portability

Step 3: Command-line Interface

Having knowledge of Command Line Interface (CLI) is very important for a DevOps Engineer as it provides more advanced features that are hidden in the graphical user interface and gives you precise controls of the system or tool. CLI is common across different environments and OS while giving you remote access to the Infrastructure and System from any location.

Using CLI gives you a deeper understanding of the underlying systems, improving troubleshooting and problem-solving skills, which is an important skill when working on servers & managing Infrastructure. Some of the important things you should learn or become good at are

• Scripting
• Editors
• Networking Tools
• Process Monitoring
• Performance Monitoring
• Text Manipulation

Step 4: Version Control System and Hosting

Including version control and hosting in your DevOps roadmap is important because it helps facilitate collaborations, code management & version tracking which is essential for the DevOps lifecycle or wanting to go for the GitOps approach.

• Version Control System – GIT Git is the most renowned distributed version control system. Key features include making repositories, branching, making commits and merges, allowing developers to track changes, and collaborating on projects.
• Hosting (Github, Bitbucket, Gitlab) Now that we have our code base being tracked using Git (version control system) we want to host it to make it either available to the public or to the organization we are working in. Some of the hosting providers are Github, BitBucket, Gitlab, etc.

Step 5: Learn About Cloud Providers

In the DevOps roadmap, cloud computing is an important skill to have, because in the end all our applications will be hosted on a server and it could either be on a cloud or on-premise. Some major cloud providers in 2024 are:

• AWS (Amazon Web Services) It provides many services like EC2, and S3 for storage, lambda for serverless, EKS for Kubernetes, and many other services that can help in deploying your software.
• AZURE Azure is provided by Microsoft. It has many services that it offers like AWS but the main aspect for us is the Azure DevOps tools, which are suite-integrated CICD tools, version control & project management tools.
• GCP (Google Cloud Platform) Google Cloud provides the same services as many other cloud providers and is provided by Google.

Although most of the cloud service providers provide the same services, the key difference is the prices they offer on the resources and some key services that are native to that provider.

Step 6: Containerization – Docker

Docker is an important tool to have in your skill set for any DevOps Engineer. Earlier while deploying any application you had to package the app, and then download the dependencies onto the server for running your application, and it was not easy to scale either. In the current scenario, every organization uses Docker to package and deploy the application because of its simplicity and effortless application packaging in writing a simple Dockerfile.

Things you should know:

• Run containers
• Inspect active containers
• Docker Networking
• Persist data with Docker Volumes
• Dockerize apps using Dockerfiles
• Run multiple containers using Docker-Compose
• Work with Docker Repository

Step 7: CI/CD Tools

In today’s landscape where development is quick, using Agile methodology doing tasks manually would be a waste of time, money, and resources. As a DevOps Engineer, you should know how to automate and streamline the workflow using various CICD tools and services provided to run tests and deploy apps faster.

Some important things you should learn:

• Writing Automation Scripts for testing and deployment
• Setting up monitoring & feedback cycle
• Best Practices
• Setup notifications to channels (For e.g. slack, discord, etc)

Tools to learn:

• GitLab CI
• Jenkins
• GitHub Actions
• Circle CI

Step 8: Container Orchestration

We have learned about containers earlier and how they could be scaled easily. It is because of the Container Orchestration tool. Using a container orchestrator we can create several replicas of our containers. The popular ones are Kubernetes and Docker Swarm.

Kubernetes It is an open-source container orchestration platform developed by Google. It helps automate the scaling, creation of replicas, and management of containerized applications.

Step 9: Networking and Security, Protocols

Networking and Security protocols are fundamental aspects of DevOps practice, as most of the work is on servers & production environments. Learning Networking concepts will help you in effectively managing and troubleshooting infrastructure, deploying and managing microservices and containerized applications, automating network tasks, and managing cloud-based deployments.

This helps to bridge the gap between the Developers and Operations and helps you to streamline the process and ensure smooth delivery.

Some concepts you should learn are:

• FTP / SFTP
• HTTP / HTTPS
• SSL / TLS
• DNS
• SSH
• Protocols

Step 10: Setting Up Firewalls, Proxy and Servers

Learning how to set up Firewalls, proxies, and servers will help you enhance the security and performance of the infrastructure via firewalls and controlling unauthorized access to the servers. Knowing how to set up proxy servers, and load balancers and how to install certs will be a crucial part to know for anyone becoming a DevOps Engineer. Some of the key concepts one should learn are:

• Firewall
• Proxy
• Web Servers

Step 11: Understand Serverless

Moving ahead in this DevOps roadmap, next is learning serverless computing. It is a cloud computing model where the resources are dynamically allocated and provisioned on servers, allowing developers to focus on code rather than worrying about resource allocation or server management.

Being a DevOps engineer, here are some important topics to learn –

• Cloudflare
• AWS Lambda
• Azure Functions
• Vercel

Step 12: Infrastructure Provisioning

As a DevOps Engineer, you need to manage and set up infrastructure but using the old methods of using ClickOps would take time and be very hard to replicate if you want to scale. Infrastructure provisioning has now become easier. Since as a DevOps engineer your task is to automate and scale resources on demand learning Infrastructure provisioning using scripts would be an add-on to your resume.

Some popular tools you should focus on:

• Terraform
• Pulumi
• CloudFormation
• AWS CDK

Step 13: Configuration Management

Configuration Management is a process of monitoring and controlling the infrastructure component, software, and systems. In an organization, you might need to configure more than 1 server. Imagine manually doing it to thousands or hundreds of servers; it would be time-consuming and dealing with errors constantly. So as a DevOps engineer, you can automate repetitive tasks using a Configuration management tool.

Some tools you should learn:

• Ansible
• Chef
• Puppet

Step 14: Infrastructure Monitoring

Infrastructure monitoring is a process of analyzing the performance, availability, and health of the infrastructure components. Infrastructure collects data from various sources including system logs, metrics, and streams. Using it you could monitor the application and view metrics more easily for a detailed graph of what could go wrong in the future and avoid it. Some tools you should learn:

• Grafana
• Datadog
• Prometheus
• Zabbix

Step 15: Application Monitoring

Application monitoring is important as with new deployments pushed to the main branch there is a chance that with some bug fix or changes made our application goes down to avoid any such circumstances it’s better to continuously track, measure, and analyze the metrics. With the data collected the Devs and managers get some insights into their performance insights.

• Datadog Datadog is an analytical and monitoring tool that offers crucial real-time visibility into the infrastructure, performance, and logs.
• New Relic New Relic is a cloud-based observability tool that helps organizations monitor and optimize their application.
• Jaeger Jaeger is a monitoring tool designed for end-to-end distributed microservices architectures using Jaeger it provides deep insights into different microservices across services and components.
• OpenTelemetry Open Telemetry is an open-source framework that provides standardized instrumentation, API, and libraries for collecting and monitoring.
• AppDynamic AppDynamics is an application performance monitoring (APM) solution that can be used to monitor, analyze, and optimize the performance of the application in real-time.

Step 16: Other DevOps Roadmap Topics to Learn

1. Logs Management It involves collecting, storing, analyzing, and visualizing log data generated by applications, systems, and infrastructure components.
2. Artifact Management It is the practice of managing and versioning software artifacts, including binaries, libraries, dependencies, and configuration files. Artifact management tools provide repositories for storing and sharing artifacts, ensuring consistency, traceability, and reproducibility in software builds and deployments.
3. Artifactory Artifactory is a universal artifact repository manager developed by JFrog, designed to support artifact management and distribution for various package formats and technologies.
4. Nexus Repository Manager is an open-source artifact repository manager provided by Sonatype, offering support for storing and managing software artifacts in Maven, npm, Docker, and other formats.
5. Service Mesh In a microservice architecture or a distributed system, we can use a service mesh that sits in the infrastructure layer. Service mesh helps the different services and components in the stack talk.
6. Cloud Design Patterns Cloud design patterns are reusable architectural patterns and best practices for designing and implementing cloud-native applications and services. Cloud design patterns address common challenges such as scalability, availability, fault tolerance, and data management in cloud environments, helping organizations build resilient and efficient cloud solutions.