Linux
Linux remains the backbone of modern cloud infrastructure and DevOps/SRE workflows. Mastery of Linux is essential for engineers working with AWS, Azure, GCP, and hybrid environments.
Why DevOps & SREs Need Linux
Cloud-Native Operations: Most cloud VMs, containers, and Kubernetes nodes run Linux. Engineers must manage, troubleshoot, and optimize these systems daily.
Automation & Scripting: Bash, Python, and other scripting languages on Linux enable automated deployments, monitoring, and remediation. Tools like Ansible, Terraform, and CI/CD runners often execute on Linux hosts.
Security & Compliance: Linux offers granular access controls (SELinux, AppArmor), audit logging, and patch automation. SREs use these features to enforce compliance and respond to incidents.
Observability: Logging (journald, syslog), metrics (Prometheus node_exporter), and tracing are natively supported on Linux, making it the platform of choice for observability stacks.
Open Source Ecosystem: Most DevOps tools (Docker, Kubernetes, Helm, Git, etc.) are built for Linux first.
Real-Life Examples
1. Automated Patch Management (Ansible)
- name: Patch all Linux servers
hosts: linux_servers
become: yes
tasks:
- name: Update all packages
apt:
upgrade: dist
update_cache: yes
2. Troubleshooting a Failing Pod in Kubernetes
kubectl exec -it mypod -- bash
journalctl -u myservice
cat /var/log/app.log
3. Secure SSH Access with Key Rotation
# Rotate SSH keys for all users
for user in $(cut -f1 -d: /etc/passwd); do
ssh-keygen -f /home/$user/.ssh/id_rsa -N '' -q
# Distribute new public keys via Ansible or cloud-init
# ...
done
4. Monitoring with Prometheus Node Exporter
# Install node_exporter
wget https://github.com/prometheus/node_exporter/releases/download/v*/node_exporter-*.linux-amd64.tar.gz
# ...extract and run as a systemd service...
Best Practices (2025)
Use Infrastructure as Code (Terraform, Ansible) for all Linux provisioning
Automate patching and configuration drift detection
Enforce least privilege with sudoers and SELinux/AppArmor
Monitor system health and logs centrally (Prometheus, ELK, Grafana)
Use containers for reproducible environments
Document all custom scripts and automation
Common Pitfalls
Not automating user and key management
Ignoring security updates
Overlooking log rotation and disk space
Hardcoding credentials in scripts
Not monitoring resource usage (CPU, memory, disk)
References
Linux Joke: Why do DevOps engineers love Linux? Because rebooting is always the last resort, not the first step!
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