The Complete DevOps Roadmap [2024]

Summary

This video provides a comprehensive DevOps roadmap, guiding beginners and professionals looking to level up their skills. It covers essential areas such as Linux fundamentals, networking concepts, Git, programming languages like Python, cloud providers, containerization with Docker, CI/CD pipelines with Jenkins, Kubernetes for orchestration, and monitoring tools like Prometheus. The roadmap is structured for a 10-14 month learning journey, assuming 3-5 hours of daily study. Practical tips and free resources are provided to help learners gain hands-on experience with each tool and concept.

Takeaways

• 🚀 This roadmap is designed for those aiming to break into DevOps or level up their skills, taking about 10 to 14 months with 3-5 hours of daily study.
• 🐧 Learning Linux fundamentals is crucial, as it's the backbone of servers and development environments. Focus on mastering bash and basic commands, dedicating 2-3 weeks to it.
• 🌐 Understanding networking concepts like IP addresses, OSI models, and network troubleshooting is essential for DevOps. Spend around 2 weeks on this.
• 📁 Git version control is fundamental for tracking changes and collaborating on projects. Devote 1-2 weeks to mastering basic Git commands like clone, commit, and merge.
• 🐍 Python is highly recommended for automation in DevOps. Spend 4-6 weeks learning Python syntax, data structures, and writing automation scripts.
• ☁️ Mastering cloud providers like AWS (recommended) is important. Dedicate 4-6 weeks to learning cloud services, managing servers, data, and isolated networks.
• 📦 Containerization with Docker helps ensure applications run consistently. Spend 3-4 weeks learning Docker, creating images, and managing containers.
• 🔁 Continuous integration and deployment (CI/CD) automates code integration and deployment. Focus on Jenkins for 3-4 weeks to understand pipelines and automated builds.
• 🛠 Kubernetes and Helm are key for orchestration and management of containerized apps. Spend 4-6 weeks learning Kubernetes architecture and scaling applications.
• 📊 Monitoring and logging tools like Prometheus and Grafana track application performance. Dedicate 3-4 weeks to learning these tools for data collection and alerts.

Q & A

What is the recommended first step in the DevOps roadmap?

The recommended first step is learning Linux fundamentals, as Linux is commonly used in servers and development environments. Getting comfortable with the command line and basic Linux commands is crucial.

Why is networking knowledge important for DevOps engineers?

Networking is important because it involves understanding how computers communicate, IP addressing, and protocols. DevOps engineers need to troubleshoot network issues and ensure secure data movement between systems.

How much time should be spent learning Git, and why is it important?

It is recommended to spend 1 to 2 weeks learning Git. Git is essential for tracking changes in code and collaborating with teams effectively in version control systems.

Which programming language does the video recommend for DevOps tasks, and why?

The video recommends Python due to its simplicity, powerful libraries, and versatility, making it ideal for automation and managing configurations.

What is the significance of cloud providers in DevOps, and which provider is recommended for beginners?

Cloud providers offer services for deploying applications, managing infrastructure, and more. AWS is recommended for beginners because it's widely used and has a strong ecosystem of tools and services.

Why is containerization important, and which tool is recommended to learn?

Containerization ensures that applications run consistently across different environments by packaging them with their dependencies. Docker is the recommended tool for learning containerization.

What is CI/CD, and which tool is suggested for beginners?

CI/CD (Continuous Integration/Continuous Deployment) automates code integration and deployment, making releases more frequent and reliable. Jenkins is suggested due to its versatility and community support.

Why is Kubernetes important for DevOps, and how long should be dedicated to learning it?

Kubernetes is crucial for automating the deployment, scaling, and management of containerized applications. The video suggests spending 4 to 6 weeks on learning Kubernetes.

What role does Infrastructure as Code (IAC) play in DevOps, and which tool is recommended to learn?

IAC allows the management and provisioning of infrastructure through code, making it easier to maintain consistency. Terraform is the recommended tool to learn due to its flexibility.

Which tools are recommended for monitoring and logging in a DevOps environment?

Prometheus and Grafana are recommended tools for monitoring and logging. They help track performance and health of applications and infrastructure.

Outlines

00:00

🚀 DevOps Roadmap Overview

This paragraph introduces the complete DevOps roadmap, targeting those looking to break into DevOps or enhance their skills. It outlines the essential skills, tools, and the time required for each segment. With a study commitment of 3 to 5 hours daily, this roadmap can be completed in 10 to 14 months. The journey begins with Linux fundamentals, as Linux is crucial for DevOps roles due to its prominence in server environments. The focus then shifts to networking concepts, essential for understanding communication between computers, followed by Git for version control and collaboration in projects. Mastery of a programming language, specifically Python, is emphasized for task automation and configuration management. This roadmap aims to build a comprehensive skill set needed for a DevOps career.

05:02

🌐 Advanced DevOps Skills: Cloud, Containers, and More

This paragraph delves deeper into advanced DevOps skills, beginning with cloud providers like AWS, Azure, and Google Cloud. It recommends focusing on one provider, with AWS as a popular choice, to learn how to manage servers, data, and isolated networks. Containerization is introduced as a key concept, with Docker as the primary tool for packaging applications consistently across environments. The importance of Continuous Integration and Deployment (CI/CD) is discussed, with Jenkins highlighted as a versatile tool for automating code integration and deployment processes. Additionally, orchestration tools like Kubernetes and Helm are introduced for managing complex containerized applications in production. The paragraph concludes with an emphasis on infrastructure services like reverse proxies, load balancers, configuration management tools (e.g., Ansible), Infrastructure as Code (IaC) tools like Terraform, and monitoring and logging solutions such as Prometheus and Grafana. This comprehensive guide aims to equip learners with the skills to manage complex DevOps tasks efficiently.

Keywords

💡Linux fundamentals

Linux is the backbone of most servers and development environments in DevOps. Understanding Linux, especially its command line, is crucial for setting up and maintaining the infrastructure that applications run on. The video suggests learning basic Linux commands for file systems, permissions, and managing packages over a 2 to 3 week period.

💡Networking concepts

Networking is about how computers communicate with each other through IP addresses and protocols. Understanding networking allows DevOps engineers to troubleshoot data movement and ensure security. The video recommends dedicating two weeks to learning about networking models like OSI and TCP/IP, IP addressing, and tools like Ping and netstat.

💡Git

Git is a version control system that helps developers track changes and collaborate on code. It is an essential tool for managing code in DevOps environments. The video emphasizes learning basic Git commands such as commit, push, pull, and merge to facilitate team collaboration on projects, recommending one to two weeks for mastering these skills.

💡Programming languages

Programming languages, like Python, are used in DevOps to automate tasks and manage configurations. Python is highlighted in the video for its simplicity and versatility, especially in automation scripts. The video advises spending 4 to 6 weeks learning Python syntax, error handling, and automation tasks to build a solid foundation for DevOps work.

💡Cloud providers

Cloud providers like AWS, Azure, and Google Cloud offer services for building and deploying applications. The video focuses on AWS, recommending it as the best starting point due to its popularity. Engineers should spend 4 to 6 weeks learning to manage virtual servers, users, and networks in a cloud environment.

💡Containerization

Containerization involves packaging an application and its dependencies into containers, ensuring consistency across different environments. Docker is the primary tool for this task. The video suggests dedicating 3 to 4 weeks to learning Docker, including creating images, managing containers, and defining multi-container applications using Docker Compose.

💡Continuous integration and deployment (CI/CD)

CI/CD automates the process of integrating and deploying code, enabling frequent and reliable releases. Jenkins is the recommended tool for setting up CI/CD pipelines. The video advises spending 3 to 4 weeks on learning Jenkins, focusing on creating pipelines, integrating automated tests, and automating build and deployment processes.

💡Kubernetes

Kubernetes is an orchestration tool used to automate the deployment, scaling, and management of containerized applications. It is essential for managing complex applications in production environments. The video suggests spending 4 to 6 weeks learning Kubernetes, with a focus on its architecture, key components (like pods and services), and resource management.

💡Infrastructure as Code (IAC)

Infrastructure as Code involves managing and provisioning computing infrastructure using configuration files. Terraform is a popular tool for this in the DevOps space. The video recommends spending 3 to 4 weeks on Terraform, focusing on writing configuration files, using modules, and understanding advanced concepts like workspaces and remote state management.

💡Monitoring and logging

Monitoring and logging tools track the performance and health of applications and infrastructure. Prometheus and Grafana are suggested as key tools for beginners. The video recommends spending 3 to 4 weeks learning how to collect metrics, write queries, and set up alerts to ensure system performance is closely monitored.

Highlights

The roadmap takes 10 to 14 months if you dedicate 3 to 5 hours daily.

Start by learning Linux fundamentals since it's the backbone of most servers and DevOps environments.

Focus on mastering the Linux command line, particularly bash, to manage servers and applications.

Networking concepts like OSI, TCP/IP models, IP addressing, and DNS are crucial for troubleshooting and security.

Git is essential for version control, collaboration, and code management in DevOps projects.

Python is recommended for automating tasks and configurations due to its simplicity and versatility.

Cloud providers like AWS are vital for building and deploying applications in the cloud, focusing on virtual servers, storage, and security management.

Docker is the go-to tool for containerization, ensuring applications run consistently across environments.

Continuous integration and deployment (CI/CD) automates code integration and deployment, with Jenkins being a key tool.

Kubernetes is essential for automating deployment, scaling, and managing containerized applications.

Networking and infrastructure services like reverse proxies and load balancers help manage application traffic.

Configuration management tools like Ansible automate server and application deployment.

Infrastructure as Code (IaC) tools like Terraform allow you to manage computing infrastructure through code.

Monitoring tools like Prometheus and Grafana are important for tracking the performance and health of applications and infrastructure.

The full roadmap is designed to prepare you to become a proficient DevOps engineer.

Transcripts

if you're looking to break into devops

or want to level up your skills you're

in the right place today I'm sharing the

complete devops road map I'll walk you

through the essential skills you need

the tools I personally recommend and how

much time you should spend on each

assuming you dedicate 3 to 5 hours of

studying every day this road map should

take you about 10 to 14 months to

complete let's Jump Right

In first off we have Linux fundamentals

Linux is the backbone of servers and Dev

vment environments as a devops engineer

you'll be setting up and maintaining the

infrastructure where applications run

most servers use Linux so getting

comfortable with it especially the

command line is crucial I recommend

starting with learning bash which is the

most commonly used shell and scripting

language in Linux spend about 2 to 3

weeks on this make sure to learn basic

Linux commands for working with the file

system permissions and ownership

processes and signals as well as

managing packages next you need to learn

networking Concepts networking is all

about how computers communicate with

each other think IP addresses and

protocols you need to understand how

data moves around security and

troubleshoot network issues to get

hands-on experience I recommend using

wihar dedicate around two weeks on this

make sure to learn Concepts like OSI and

tcpip models IP addressing and

subnetting DNS and DHCP networking

protocols like HTTP https FTP and SSH

firewalls and security groups and basic

Network troubleshooting using tools like

Ping trace route and net stat now let's

talk about git git is a version control

system that lets you track changes in

your code and collaborate with others

it's essential for working on projects

with a team and managing your code

effectively spend one to two weeks

getting comfortable with Git make sure

to learn basic git commands like clone

commit push and pull branching and

merging resolving merge conf

working with remote repositories and so

on after that you should dive into

programming languages programming

languages like python Ruby and go are

used to automate tasks and manage

configurations while there are several

other languages I personally recommend

python for its Simplicity powerful

libraries and versatility dedicate four

to 6 weeks to build a solid foundation

in Python make sure to Learn Python

syntax and data structures like lists

dictionaries sets and topples modules

and packages learn how to write and

execute Python scripts work with files

handle errors write automation scripts

and so on by the way to help you on this

journey I've created a free

supplementary PDF that breaks down the

specific Concepts you need to learn for

each skill it's a great resource to

review your progress find gaps in your

knowledge and prepare for interviews you

can find the link in the description box

also I have a bunch of tutorials on this

channel and complete courses on my

website if you're looking for structured

learning again links are in the

description box moving on let's talk

about Cloud providers Cloud providers

like AWS Azure and Google Cloud platform

offer a range of services for building

and deploying applications if you're

just starting out I recommend focusing

on one cloud provider and AWS is a great

choice because it's the most widely used

spend about 4 to 6 weeks on this make

sure to learn how to launch configure

and manage virtual servers store and

manage data get familiar with is

managing users groups and roles and how

to set up and manage isolated networks

next up is containerization

containerization is all about packaging

an application and its dependencies into

a container to ensure it runs the same

everywhere Docker is the go-to tool for

this spend about 3 to four weeks getting

comfortable with Docker learn how to

create Docker images get familiar with

starting stopping and managing

containers learn how to write Docker

files explore how to define and run

multicontainer applications using Docker

compos and so on now let's dive into

continuous integration and deployment or

cicd cicd automates the integration and

deployment of code changes allowing for

frequent and reliable releases genkins

is a powerful tool for setting up cicd

pipelines but other popular tools

include gitlab cicd Circle CI and Travis

C if you're starting out just focus on

Jenkins for its versatility and strong

Community Support dedicate 3 to four

weeks on this make sure to understand

how to create and manage Jenkins

pipelines get familiar with writing

Jenkins files learn how to integrate

automated tests into your pipelines

understand how to automate the build

process for your applications explore

how to automate the deployment of your

applications to various environments and

so on moving forward let's discuss

orchestration and management

orchestration tools like kubernetes and

Helm help automate the deployment

scaling and management of containerized

applications these tools are essential

for managing complex applications in

production start with kubernetes and

spend about four to 6 weeks on it make

sure to learn about the overall

architecture including the master node

and worker nodes and how they interact

understand the key components such as

pods services and deployments get

familiar with managing resources learn

how to scale your applications as well

as the networking model in kubernetes

next we have networking and

infrastructure services this involves

setting up and managing services like

reverse Proxes forward Proxes caching

servers firewalls and load balancers I

recommend using engine X for handling

reverse Proxes and load balancing give

this about 3 to 4 weeks of your time

learn how to set up and configure engine

X as a reverse proxy understand how to

configure it to act as a forward proxy

explore caching strategies to improve

the performance and how to configure

firewalls and security groups now let's

talk about configuration management

configuration management tools like

anible puppet and Chef automate the

deployment configuration and management

of servers and applications if you're

starting out just focus on anible due to

its Simplicity and Powerful features

spend 3 to four weeks on this learn how

to write anible playbooks understand how

to use roles and modules learn to manage

variables and templates and so on moving

on let's discuss infrastructure as code

or IAC IAC involves managing and

provisioning Computing infrastructure

through machine readable configuration

files popular tools include terraform

AWS cloud formation and palumi if you're

starting out just focus on terraform for

its flexibility and widespread use

dedicate 3 to four weeks to build a

solid foundation in terraform understand

the basic concepts like providers and

resources get familiar with writing

terraform configuration files learn how

to use terraform modules as well as

advanced concepts such as workspaces and

remote State finally let's talk about

monitoring and logging monitoring and

login tools such as Prometheus Graff elk

stack and fluent D track the performance

and health of your applications and

infrastructure if you're starting out

just focus on Prometheus and grafana

spend about 3 to four weeks on these

tools learn the architecture and data

model of Prometheus get familiar with

collecting metrics from various sources

learn how to write queries to extract

and analyze metrics data understand how

to set up alerts and so on so if you

dedicate 3 to 5 hours every day you can

follow this road map and pick up all the

skills you need to become a devops

engineer in about 10 to 14 months if you

have any questions please let me know in

the comments below and I'll do my best

to answer you right here or in my future

videos If you enjoyed this video please

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useful content thanks for watching