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Site Reliability Engineer Learning Path


The Site Reliability Engineer Learning Path offers a comprehensive journey for individuals seeking to  excel in site reliability engineering, encompassing foundational knowledge in  DevOps, networking, and application development. This learning path  accommodates individuals with various levels of expertise, providing a  structured approach to mastering site reliability engineering skills.

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Learn the basics of DevOps, Networking and Application
DevOps Prerequisite course
6h 30m
linux basics
virtual box networking
vagrant
networking basics
programming basics
database basics
Git
Apache web server
IPs and ports
SSL & TLS basics
YAML
Learn Version Control
Git for Beginners
1h 15m
fetching and pulling
merge conflicts
fork
rebasing
interactive rebasing
cherry picking
resetting and reverting
stashing
reflog
Learn Programming
Golang
4h 15m
data types and variables
operators and control flow
arrays
slices
maps
using functions
pointers
struct
methods
interfaces
Recommended
Certified Python Entry-Level Programmer
1h 30m
python basics
making decisions
loops
logic and bit operations
lists
functions
tuples & dictionaries
mock exams
Optional
Ace Container Concepts
Docker for Absolute Beginners
4h 0m
containers
images
volumes
container
orchestration
networking
Get CKA Certified
Certified Kubernetes Administrator
20h 30m
Scheduling
logging & monitoring
cluster maintenance
security
storage
networking
design & install
troubleshooting
mock exams
Learn Automation
Ansible for Beginners
2h 45m
setup ansible
inventory
playbooks
modules
variables
conditionals
loops
roles
Master Observability
Prometheus Certified Associate (PCA)
6h 45m
observability fundamentals
prometheus fundamentals
PromQL
dashboarding & visualization
application instrumentation
service discovery
push gateway
alerting
monitoring kubernetes
mock exam
Gain Cloud Platform Proficiency
AWS Cloud Practitioner Certification
10h 30m
cloud computing
cloud economics
shared responsibility models
AWS IAM
AWS security and compliance
core AWS services
AWS storage
AWS compute services
AWS database
app integration
pricing and billing
Recommended
AZ-104: Microsoft Azure Administrator
13h 0m
azure active directory
subscription and governance
implementing virtual networking
configure VMs
load balancing
intersite connectivity
automating deployment and configuration
securing storage
azure blobs
azure files
azure app services
azure blobs
backup and recovery
network monitoring
resource monitoring
mock exams
GCP Digital cloud Leader
4h 0m
digital transformation
resource hierarchy
compute
databases
object storage
API's in GCP
google cloud solutions for AI and ML
container orchestration
security in GCP
GCP architecture
mock exams
Get Career Ready!
DevOps Interview Preparation Course
5h 30m
linux
git
docker
kubernetes
helm
Hashicorp
ansible
jenkins and CI/CD
AWS
programming
devops

How long will it take for me to complete?

I can spend
hours / day
≈ 7-8 Months
≈ 7 Months
≈ 6 Months
≈ 2-3 Months
≈ 5-6 Months
≈ 5 Months
≈ 4-5 Months
≈ 2 Months
≈ 4 Months
≈ 3-4 Months
≈ 3 Months
≈ 1-2 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 Service-Level Indicators (SLIs)
  • Setting Service-Level Objectives (SLOs) and Service-Level Agreements (SLAs)
  • Responding to Incidents
  • Writing Postmortems
  • Automating System Tasks
  • Cross-Department Collaboration
  • Building Software for DevOps, ITOps, and Support Teams
  • Fixing Support Escalation Issues
  • Optimizing On-Call Rotations and Processes
  • Documenting "Tribal" Knowledge
  • Conducting Post-Incident Reviews

Site Reliability Engineer

Average Salary
$155,000 /year
$127,000
$155,000
$191,000
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 is SRE (Site Reliability Engineering)?

Site Reliability Engineering (SRE) is a discipline that combines aspects of software engineering and systems administration. SREs focus on creating and maintaining reliable, scalable, and efficient software systems by applying engineering principles to operations.

 What are the key responsibilities of an SRE?

SREs are responsible for designing, building, and maintaining systems that are highly available, performant, and scalable. They work to ensure that applications are reliable, automate operational tasks, monitor system health, and respond to incidents.

How does SRE differ from traditional operations roles?

SRE emphasizes automation, treating infrastructure as code, and applying software engineering practices to operations tasks. Traditional operations roles might focus more on manual maintenance and firefighting, while SREs focus on preventing incidents through proactive measures.

What are the core principles of SRE?

The core principles of SRE include setting Service Level Objectives (SLOs) to measure system reliability, using error budgets to balance reliability and development velocity, automating operations, and fostering a blameless culture that encourages learning from incidents.

What tools and technologies do SREs use?

SREs use a wide range of tools including monitoring and observability tools (Prometheus, Grafana), configuration management (Ansible, Puppet), version control (Git), containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, Azure, GCP).

What's the relationship between SRE and DevOps?

SRE and DevOps share similar goals of improving collaboration between development and operations teams and achieving reliable, automated software delivery. SRE is often seen as an implementation of DevOps principles in a structured and specialized manner.

How does incident management work in SRE?

SREs practice a blameless post-incident review process, focusing on learning from incidents to prevent future occurrences. This process helps identify root causes, improve monitoring, and refine response procedures.

What skills are essential for an SRE?

Essential skills include programming/scripting, system administration, cloud computing, automation, troubleshooting, networking, and familiarity with containers and orchestration tools.

Do SREs only focus on operations and reliability?

While reliability is a primary focus, SREs also work on aspects like capacity planning, performance optimization, security, and ensuring that systems are designed with scalability in mind.

How can I transition to an SRE role from my current background or position?

Consider building on your existing skills, such as systems administration, software development, or cloud expertise. Seek opportunities to work on projects that involve automation and reliability.

What key skills do I need to emphasize on my resume when applying for SRE positions?

Highlight skills such as automation/scripting, cloud platforms, version control (Git), containerization (Docker), monitoring, and familiarity with configuration management tools.

How important is hands-on experience with cloud platforms in SRE roles?

Cloud platforms are integral to modern SRE practices. Demonstrating experience with platforms like AWS, Azure, or Google Cloud can be a strong selling point for your transition.

Can I transition to SRE without a computer science degree?

Yes, a computer science degree is not always required. Many SREs come from diverse educational backgrounds. Focus on gaining relevant skills and practical experience to demonstrate your capabilities.

What can I expect during SRE interviews?

SRE interviews might include technical assessments related to automation, troubleshooting, scripting, and architecture. Expect questions about incident management, monitoring, and collaboration as well.