Kubernetes Interview: Pods, Services and Deployments Explained
Master the three core Kubernetes building blocks — Pods, Services, and Deployments — with production-ready YAML manifests, networking internals, and common interview questions.
DevOps
BACKEND
Modern DevOps practices combining development and operations to automate CI/CD pipelines, manage infrastructure as code, and orchestrate cloud environments. Mastery of Kubernetes, Docker containerization, cloud platforms (AWS, Azure, GCP) and monitoring tools to build scalable, resilient and highly automated systems.
What you'll learn
CI/CD with GitLab CI, Jenkins, ArgoCD and automated pipelines
Containerization with Docker, Podman and registries (Harbor, ECR)
Kubernetes orchestration with Helm, Istio, service mesh and autoscaling
Infrastructure as Code with Terraform (modules, best practices), Ansible, AWX
Public cloud platforms (AWS, Azure, GCP) and managed services
Monitoring and observability with Prometheus, Grafana, Dynatrace, CloudWatch
Linux administration (RedHat, Debian, Ubuntu) and Bash/Python scripting
DevSecOps security (EPP, EDR, system hardening, vulnerability scanning)
Databases (PostgreSQL, MariaDB) and scalability management
Virtualization (VMware vSphere, ESXi, Proxmox) and cloud migration
Key topics to master
The most important concepts to understand this technology and ace your interviews
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
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