The Complete DevOps Roadmap [2024]
Summary
TLDRThis 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
🚀 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.
🌐 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.
Mindmap
Keywords
💡Linux fundamentals
💡Networking concepts
💡Git
💡Programming languages
💡Cloud providers
💡Containerization
💡Continuous integration and deployment (CI/CD)
💡Kubernetes
💡Infrastructure as Code (IAC)
💡Monitoring and logging
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
give it a like And subscribe for more
useful content thanks for watching
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