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AiTechWorlds
AiTechWorlds
A complete path from Linux fundamentals to designing CI/CD pipelines, containerising workloads with Docker/Kubernetes, and managing cloud infrastructure on AWS, GCP, or Azure.
DevOps engineers eliminate the wall between development and operations. They build the pipelines that let teams ship code dozens of times a day with confidence. Cloud engineers provision and manage the infrastructure those pipelines run on. In 2026, these roles overlap heavily.
| Provider | Market Share | Strengths | Free Tier |
|---|---|---|---|
| AWS | 31% | Broadest services, largest community | 12 months free tier |
| Azure | 25% | Enterprise / Microsoft integration | $200 credit |
| GCP | 12% | Kubernetes (GKE), BigQuery, AI/ML | $300 credit |
| DigitalOcean | 2% | Simple, developer-friendly, cheap | $200 credit |
# Process management
ps aux | grep nginx
kill -9 <PID>
systemctl restart nginx
# Disk and memory
df -h # disk usage
free -m # memory usage
top / htop # process monitor
# Networking
netstat -tlnp # open ports
curl -I https://api.example.com
ss -s # socket statistics
# Logs
journalctl -u nginx --since "1 hour ago"
tail -f /var/log/app/error.log
| Role | Avg Salary (US) | Demand |
|---|---|---|
| DevOps Engineer | $125,000/yr | Very High |
| Cloud Engineer | $130,000/yr | Very High |
| SRE | $145,000/yr | High |
| Platform Engineer | $135,000/yr | Growing Fast |
| Cloud Architect | $160,000/yr | High |
AWS has the largest market share and community, making it the safest starting point. The concepts transfer to Azure and GCP once you understand one provider. Go for the AWS Solutions Architect Associate certification first — it is the most recognised entry-level cloud cert.
Not necessarily, but you must be comfortable reading and writing code (Bash scripts, Python automation, Dockerfile syntax, YAML configs). Many DevOps engineers come from a sysadmin background rather than development. Focus on Linux, networking, and scripting first.
For most jobs in 2026, Kubernetes knowledge is expected for mid-level and above. However, many teams use managed platforms (AWS ECS, Google Cloud Run, Railway) that abstract Kubernetes away. Learn Docker thoroughly first — Kubernetes only makes sense once containers click.
The most valued are: AWS Solutions Architect Associate (cloud foundation), Certified Kubernetes Administrator (CKA) for platform teams, HashiCorp Terraform Associate for IaC roles, and Google Professional Cloud DevOps Engineer. Do not collect certifications without practical projects to back them up.
Follow these steps in order. Required steps are marked — optional steps accelerate your learning.
File system, permissions, processes, package managers, shell scripting with bash — the OS every server runs.
TCP/IP, DNS, HTTP/HTTPS, firewalls, subnets, load balancers — the foundation of cloud infrastructure.
Branching strategies (GitFlow, trunk-based), pull requests, tags, rebasing, and monorepo basics.
Write Dockerfiles, build images, manage containers, use Docker Compose for multi-service apps.
Build automated pipelines with GitHub Actions — lint, test, build Docker image, push to registry, deploy.
You can containerise an application and build a CI/CD pipeline that tests and deploys it automatically.
Pods, deployments, services, ConfigMaps, Secrets, Ingress, Helm charts — orchestrate containers at scale.
Core services: compute (EC2/GCE), object storage (S3/GCS), managed databases (RDS/Cloud SQL), IAM, VPC.
Terraform fundamentals — declare cloud resources, manage state, modules, workspaces, and provider plugins.
Prometheus metrics, Grafana dashboards, structured logging (Loki/ELK), distributed tracing (Jaeger).
Secrets management (Vault), RBAC, SLI/SLO/SLA, error budgets, chaos engineering fundamentals.
Ready to start your journey?
Begin with the first step. Consistency beats intensity — just 30 minutes a day.