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DevOps Engineer Learning Path


The DevOps Engineer Learning Path offers  a comprehensive journey for individuals aspiring to become proficient in  DevOps practices and tools, starting from foundational concepts to advanced  automation and observability techniques. The learning path concludes with  interview preparation, ensuring participants are ready for DevOps roles.

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Get Your basics right
codebase
dependencies
concurrency
processes
backing services
config
build
release and run
port binding
disposability
dev prod parity
logs
admin processes
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Learn the basics of DevOps, Networking and Application
linux basics
virtual box networking
vagrant
networking basics
programming basics
database basics
Git
Apache web server
IPs and ports
SSL & TLS basics
YAML
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culture considerations
values considerations
crossing teams functions
LEAN - considerations
collaboration and information radiation
technology patterns
value of devops
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Learn Programming
data types and variables
operators and control flow
arrays
slices
maps
using functions
pointers
struct
methods
interfaces
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Recommended
python basics
making decisions
loops
logic and bit operations
lists
functions
tuples & dictionaries
mock exams
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Learn Version Control
fetching and pulling
merge conflicts
fork
rebasing
interactive rebasing
cherry picking
resetting and reverting
stashing
reflog
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Learn popular CI/CD tools
jenkins Basics
Jenkins Setup and Interface
Extending Jenkins
Jenkins Pipelines
Automation and Security
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Ace Container Concepts
containers
images
volumes
container
orchestration
networking
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Learn Container Orchestration
pods
replicasets
deployments
services
setting up local environment
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Infrastructure as Code
terraform basics
terraform state
terraform with AWS
remote state
terraform provisioners
terraform import
tainting resources and debugging
terraform modules
terraform functions and conditional expressions
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Get to the advanced learning
helm components
helm charts
pipelines
conditionals
with blocks
ranges
named templates
chart hooks
packaging and signing charts
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sidecars
envoy
monoliths & microservices
service mesh
istio kiali
gateways
virtual services
destination rules
fault injection
timeouts
retries
circuit breaking
authentication
certificate management
distributed tracing with jaeger
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gitops principles
gitops benefits & drawbacks
architecture
webhooks
application health
sync strategies
declarative setup
dex okta connector
bitnami sealed secrets
metrics & monitoring
alertmanager
argocd notifications
CI/CD with gitops
jenkinsfile walkthrough
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observability fundamentals
prometheus fundamentals
PromQL
dashboarding & visualization
application instrumentation
service discovery
push gateway
alerting
monitoring kubernetes
mock exam
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Get Career Ready!
linux
git
docker
kubernetes
helm
Hashicorp
ansible
jenkins and CI/CD
AWS
programming
devops
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How long will it take for me to complete?

I can spend
hours / day
≈ 8-9 Months
≈ 7-8 Months
≈ 6 Months
≈ 4-5 Months
≈ 7 Months
≈ 6 Months
≈ 5-6 Months
≈ 4 Months
≈ 5-6 Months
≈ 4-5 Months
≈ 3-4 Months
≈ 3 Months
* This is based on averages from our students. This may change depending on your experience and level of expertise.

Success!!

Clear the KCNA exam with flying colors

What day-to-day looks like

  • Monitoring and Observability
  • CI/CD Pipeline Management
  • Code Deployment
  • Automation of Repetitive Tasks
  • Infrastructure as Code (IaC)
  • Source Code and Version Control
  • Security Practices Integration
  • Incident and Problem Management
  • Collaboration and Communication
  • Performance Optimization
  • Backup and Disaster Recovery Operations
  • Tool and Environment Configuration

DevOps Engineer

Average Salary
$125,937 /year
$103,000
$125,937
$154,000
Data from Glassdoor
Start the Test

Test your Readiness for Free!

The skills test is a hands-on exam that helps you identify where you stand today in your preparation for your DevOps exam. Do you know about DevOps enough to attempt the exam? Find out now!

Topic based learning paths

Role based learning paths

FAQs

What technical skills should I focus on to become a DevOps engineer?

As a DevOps engineer, you should focus on technical skills such as scripting and programming languages (e.g., Python, Ruby, Bash), knowledge of operating systems (Linux, Unix), experience with cloud platforms (AWS, Azure, GCP), proficiency in infrastructure as code tools (e.g., Terraform, Ansible), and familiarity with containerization technologies (e.g., Docker, Kubernetes).

Which programming languages are important for a DevOps engineer?

While there is no specific programming language that is universally important for DevOps, some commonly used languages include Python, Ruby, and Bash scripting. These languages are versatile, have extensive libraries and tooling support, and can be used for automating tasks, writing infrastructure code, and creating deployment scripts.

What tools and technologies should I learn to excel as a DevOps engineer?

To excel as a DevOps engineer, you should learn tools and technologies such as version control systems (e.g., Git), continuous integration and continuous deployment (CI/CD) tools (e.g., Jenkins, GitLab CI/CD), configuration management tools (e.g., Ansible, Chef, Puppet), containerization platforms (e.g., Docker, Kubernetes), and monitoring and log management tools (e.g., Prometheus, ELK Stack).

How important is cloud computing knowledge for a DevOps engineer?

Cloud computing knowledge is highly valuable for a DevOps engineer as many organizations are adopting cloud platforms for their infrastructure needs. Familiarity with cloud providers like AWS, Azure, and GCP is important to understand cloud services, provisioning resources, and automating deployments. Additionally, understanding cloud-native concepts and architectures is beneficial for deploying applications in a scalable and resilient manner.

What is the role of automation in DevOps, and which automation tools should I learn?

Automation is a fundamental aspect of DevOps as it helps streamline processes, reduce manual effort, and improve efficiency. You should learn automation tools such as Ansible, Chef, Puppet, and Terraform for infrastructure provisioning and configuration management. Additionally, scripting languages like Python or Bash can be used to automate various tasks and workflows.

How can I gain experience in implementing CI/CD pipelines?

Gaining experience in implementing CI/CD pipelines involves hands-on practice with tools like Jenkins, GitLab CI/CD, or CircleCI. You can start by working on personal projects or contributing to open-source projects. Additionally, exploring online tutorials, documentation, and participating in hackathons or coding challenges can help you gain practical experience in setting up and configuring CI/CD pipelines.

What are the common challenges faced by DevOps engineers, and how can I prepare to overcome them?

Common challenges faced by DevOps engineers include managing complex infrastructures, ensuring smooth deployments, handling scalability and performance issues, and dealing with the integration of various tools and systems. To prepare, focus on building a strong foundation of technical skills, stay updated with industry best practices, collaborate with others in the DevOps community, and continuously enhance your problem-solving and troubleshooting abilities.

Are there any specific certifications that can enhance my chances of getting a DevOps engineer job?

Yes, there are several certifications that can enhance your chances of getting a DevOps engineer job. Some popular certifications include AWS Certified DevOps Engineer, Azure DevOps Engineer, Google Cloud Certified - Professional Cloud DevOps Engineer, and Certified Kubernetes Administrator (CKA).