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Kubernetes & Cloud Native

53 courses 7 categories

Kubernetes and the cloud-native ecosystem is the deep specialty within DevOps that focuses on container orchestration and the CNCF stack built around it. Unlike the broader DevOps umbrella, this topic zooms into Kubernetes itself, the projects that surround it (Helm, Argo CD, Istio, Linkerd, Cilium, Prometheus, OpenTelemetry), and the infra-as-code tooling that provisions clusters across cloud providers.

By 2026 Kubernetes has settled into a stable but still-deep skill set. The control plane and core APIs change slowly; the surrounding ecosystem moves quickly. GitOps via Argo CD or Flux has displaced ad-hoc kubectl pipelines at most serious organizations. Service mesh adoption is split between Istio at large enterprises and Linkerd or Cilium service mesh at teams that want lighter operational overhead. Observability has consolidated around OpenTelemetry as the data model and Prometheus / Grafana as the dashboards.

What you'll find under this topic

  • Kubernetes fundamentals: Pods, Deployments, Services, Ingress, ConfigMaps, RBAC
  • Helm and Kustomize: chart authoring, templating, overlays for multi-env deploys
  • GitOps: Argo CD, Flux, progressive delivery, automated rollback
  • Container basics: Docker, containerd, image building (BuildKit, Buildah), registries
  • Infrastructure as code: Terraform, Pulumi, Crossplane, OpenTofu
  • CI/CD: Jenkins, GitLab CI, GitHub Actions, Tekton pipelines
  • Networking and security: Cilium, Calico, network policies, OPA / Gatekeeper, secrets management
  • Observability: Prometheus, Grafana, OpenTelemetry, distributed tracing

Cloud-native skills hire across every cloud provider and every industry running production services at scale. Platform engineering — the discipline of building internal developer platforms on top of Kubernetes — has become its own job title at most mid-sized and larger companies. The CKA, CKAD, and CKS certifications remain the most-asked-for credentials in the space.

Categories (7)

Ansible thumbnail
Ansible
Ansible is the agentless configuration-management tool that took over from Puppet and Chef for most use cases. It works…
Docker thumbnail
Docker
Docker packages an application and everything it needs to run into a single image, then runs that image as an isolated…
Gitlab thumbnail
Gitlab
GitLab is the integrated DevOps platform — Git hosting plus issue tracking, CI/CD, container registry, package…
Jenkins thumbnail
Jenkins
Jenkins is the open-source CI server that defined automated builds for most of the 2010s. It still runs in significant…
Kubernetes thumbnail
Kubernetes
Kubernetes is the open-source container orchestrator that grew out of Google's internal Borg system. It schedules…
Nginx thumbnail
Nginx
nginx is the high-performance web server, reverse proxy, and load balancer that runs in front of most Linux web…
Terraform thumbnail
Terraform
Terraform is the infrastructure-as-code tool that became the default way to manage cloud resources across providers…

Courses (53)

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Frequently asked questions

Should I learn Docker before Kubernetes?
Yes — Kubernetes orchestrates containers, so Docker (or any OCI-compatible runtime) is the foundation. Plan on two to three weeks of solid Docker work — building images, multi-stage builds, networking, volumes, Compose for local dev — before opening a Kubernetes book. Skipping straight to Kubernetes is one of the most common reasons learners get stuck early.
Is the CKA certification worth it?
Yes for SRE, platform-engineer, and DevOps roles. The Certified Kubernetes Administrator exam is fully hands-on (no multiple choice) and proves you can actually operate clusters under time pressure. CKAD is the developer-leaning equivalent, also useful. CKS adds security. Combined they make a strong resume signal at infrastructure-heavy employers.
Managed Kubernetes vs self-hosted — what should I learn?
Managed (EKS, GKE, AKS) is what you'll use in 99% of jobs. Learn it first. Self-hosted Kubernetes is mostly relevant for on-prem environments, specialised infrastructure companies, and learning fundamentals via tools like kubeadm or kind in a lab. Understand the control plane internals even if you never operate them in production.
Do I need to learn Helm and operators?
Helm yes — it's the de facto package manager and used in nearly every cluster. Operators (custom resources + controllers) are increasingly important at senior levels, especially when you start writing your own platform abstractions. Plan on Helm in the first month of Kubernetes work, operators in year two when you've internalised the controller pattern.
How long until I can run Kubernetes in production?
Six months of consistent hands-on work gets you to the point of operating an existing cluster confidently. Designing one from scratch — networking choices, multi-tenancy, RBAC, autoscaling, cost control, upgrades, disaster recovery — usually takes another 12–18 months and a few production incidents. The learning curve is real but the senior pay reflects it.

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