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
Kubernetes avancé : Helm charts, Istio service mesh, HPA/VPA, observabilité (Jaeger, Kiali)
5
Terraform : providers, resources, modules, state management, workspaces, remote backend
6
Ansible : playbooks, roles, inventory, variables, handlers, idempotence, AWX/Tower
7
Cloud AWS : EC2, ECS/EKS, S3, IAM, VPC, ALB/NLB, Lambda, CloudWatch, Kinesis, WAF
8
Cloud Azure : VM, AKS, Storage, Active Directory, Load Balancer, monitoring
9
Cloud GCP : Compute Engine, GKE, Cloud Storage, IAM, networking
10
Linux : administration, systemd, networking, permissions, security hardening, troubleshooting
11
Scripting : Bash, Python pour automation, cron jobs, log parsing
12
Monitoring : Prometheus (metrics, exporters, PromQL), Grafana dashboards, alerting
13
Observabilité : logs (ELK/EFK, Loki), traces (Jaeger), métriques (Prometheus), OpenSearch
14
Sécurité : sécurisation Linux, firewalls, certificats SSL/TLS, secrets management (Vault)
15
Networking : DNS, load balancing, reverse proxy (Nginx, HAProxy), VPN, firewall rules
16
Scalabilité : clustering, horizontal/vertical scaling, autoscaling, load balancing
17
Databases : PostgreSQL/MariaDB administration, backups, replication, tuning performance
18
GitOps : ArgoCD, Flux, déploiements déclaratifs, synchronisation Git-to-cluster
19
Performance : optimisation mémoire, parallélisme, caching, CDN
20
Troubleshooting : debugging containers, logs analysis, performance profiling, incident response