1
CI/CD: GitLab CI, Jenkins, ArgoCD, pipelines (build, test, deploy), artifacts
2
Docker: Dockerfile, multi-stage builds, layers, networking, volumes, Docker Compose
3
Kubernetes: Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, namespaces
4
Advanced Kubernetes: Helm charts, Istio service mesh, HPA/VPA, observability (Jaeger, Kiali)
5
Terraform: providers, resources, modules, state management, workspaces, remote backend
6
Ansible: playbooks, roles, inventory, variables, handlers, idempotence, AWX/Tower
7
AWS Cloud: EC2, ECS/EKS, S3, IAM, VPC, ALB/NLB, Lambda, CloudWatch, Kinesis, WAF
8
Azure Cloud: VM, AKS, Storage, Active Directory, Load Balancer, monitoring
9
GCP Cloud: Compute Engine, GKE, Cloud Storage, IAM, networking
10
Linux: administration, systemd, networking, permissions, security hardening, troubleshooting
11
Scripting: Bash, Python for automation, cron jobs, log parsing
12
Monitoring: Prometheus (metrics, exporters, PromQL), Grafana dashboards, alerting
13
Observability: logs (ELK/EFK, Loki), traces (Jaeger), metrics (Prometheus), OpenSearch
14
Security: Linux hardening, firewalls, SSL/TLS certificates, secrets management (Vault)
15
Networking: DNS, load balancing, reverse proxy (Nginx, HAProxy), VPN, firewall rules
16
Scalability: clustering, horizontal/vertical scaling, autoscaling, load balancing
17
Databases: PostgreSQL/MariaDB administration, backups, replication, performance tuning
18
GitOps: ArgoCD, Flux, declarative deployments, Git-to-cluster synchronization
19
Performance: memory optimization, parallelism, caching, CDN
20
Troubleshooting: debugging containers, log analysis, performance profiling, incident response