DevOps Engineer
Connect development and operations with reliable delivery systems.
Build CI/CD pipelines and automate application delivery.
Linux · Git · CI/CD · containers
THE WORLD OF DEVOPS Amad
Discover the world of DevOps engineering. Learn how developers and operations teams build, automate, deploy, monitor, and scale modern applications across cloud platforms and physical infrastructure.
CAREERS & OPPORTUNITIES
DevOps brings people, processes, and technology together to deliver software more reliably. Find a role that fits the way you like to build and solve problems.
Connect development and operations with reliable delivery systems.
Build CI/CD pipelines and automate application delivery.
Linux · Git · CI/CD · containers
Design and run secure services on public cloud platforms.
Provision cloud networks, compute, storage, and access.
Azure · AWS · networking · IaC
Apply software engineering to the reliability of production systems.
Define service objectives and improve incident response.
Observability · automation · systems
Create a dependable internal platform that helps teams ship.
Build reusable developer tools and self-service workflows.
Kubernetes · APIs · developer experience
Design the foundational compute, network, and storage layers.
Manage infrastructure lifecycle, capacity, and resilience.
Linux · networking · virtualization
Replace repetitive manual work with dependable automation.
Create scripts and workflows for repeatable operations.
Python · Bash · APIs · testing
Make security a continuous part of software delivery.
Integrate security checks and controls into pipelines.
Threat modeling · scanning · policy
Coordinate predictable, traceable releases across environments.
Manage versions, release automation, and rollout plans.
Git · CI/CD · artifact management
THE ENGINEERING TOOLKIT
A practical map of the tools teams use to plan, build, ship, and operate modern software.
Source control
Track changes and collaborate on code safely.
Source control
Host repositories and collaborate through pull requests.
Operating systems
Run and administer the systems behind much of the cloud.
Operating systems
Use a popular Linux distribution for servers and development.
Operating systems
Host and manage Microsoft workloads and services.
Containers
Package applications and dependencies into portable containers.
Containers
Orchestrate containerized workloads across clusters.
Configuration management
Configure systems consistently with automation playbooks.
CI/CD
Automate build, test, and delivery workflows.
CI/CD
Run automated workflows alongside your GitHub repositories.
Infrastructure as code
Define and version infrastructure using declarative configuration.
Cloud platforms
Build and operate services on Microsoft's cloud platform.
Cloud platforms
Use a broad portfolio of cloud infrastructure services.
Cloud platforms
Build workloads using Google's cloud services.
Observability
Collect and query time-series metrics from services.
Observability
Visualize metrics and create operational dashboards.
Observability
Collect, search, and analyze logs with Elasticsearch, Logstash, and Kibana.
Web servers & proxies
Serve web traffic and route requests through a reverse proxy.
Web servers & proxies
Host websites with the widely used Apache HTTP Server.
WHERE APPLICATIONS RUN
From owned hardware to managed cloud services, each model changes what your team operates and what the provider manages.
Organizations own and manage real hardware in a data center: rack servers with CPUs and RAM, storage, networking, power, and cooling.
Infrastructure as a Service provides virtual compute, networks, disks, and firewalls on demand. You manage the operating system and application.
Platform as a Service manages much of the runtime and hosting layer, so teams can focus on application code and data.
Public cloud uses a provider's shared infrastructure; private cloud is dedicated to one organization; hybrid connects cloud and on-premises environments.
Who manages what? With physical infrastructure, your organization owns and operates the hardware. With IaaS, a provider manages the physical layer while you manage virtual machines and their software. With PaaS, the provider also manages the runtime platform, leaving you to focus primarily on your application.
A CONTINUOUS FEEDBACK LOOP
The DevOps lifecycle connects each step of software delivery. Automation and feedback help teams improve continuously.
Shape the work, requirements, and delivery goals.
Teams · issue trackingTrack changes and collaborate in version control.
Git · GitHubCompile and package a repeatable application artifact.
GitHub Actions · JenkinsCheck behavior, quality, and security before release.
Automated tests · CIVersion and approve artifacts for deployment.
CI/CD · release workflowsProvision environments and roll out application versions.
Docker · Kubernetes · Ansible · TerraformRun services, respond to incidents, and maintain capacity.
Linux · cloud platformsObserve service health and feed insights back into planning.
Prometheus · GrafanaTHE SERVER FOUNDATION
Linux powers a large part of modern cloud infrastructure. DevOps engineers who understand servers can diagnose issues at the source, not just in a dashboard.
Learn how a real server works—from the first SSH connection to a hardened service ready for production.
Follow the learning roadmap$ ssh engineer@production
Connected · Ubuntu Server LTS
$ systemctl status nginx
● nginx.service — active (running)
$ sudo ufw status
Status: active · SSH / HTTP / HTTPS
$ _
A PRACTICAL PATH FORWARD
Build a solid foundation, add automation and cloud skills, then bring everything together in projects you can share.
Navigate the shell, files, processes, users, and services.
Learn IP addressing, DNS, HTTP, routing, and firewalls.
Track changes, branch, review code, and collaborate.
Automate common tasks with shell scripts.
Write small programs and integrate with APIs.
Build images and run applications in containers.
Automate checks and delivery with GitHub Actions and Jenkins.
Provision repeatable infrastructure as code.
Configure servers consistently with automation.
Deploy and manage containerized workloads.
Practice with Azure, AWS, or Google Cloud.
Use metrics, logs, dashboards, and alerts.
Apply least privilege and security checks throughout delivery.
Combine the skills in documented, deployable projects.