Kubernetes
Kubernetes orchestrates containers across clusters of machines, handling scheduling, scaling, networking, and self-healing. It is the de facto standard for running containerized workloads at scale.
Pros
- Self-healing. Failed containers are restarted and rescheduled automatically without operator action. 0
- Horizontal autoscaling. Pods scale out on CPU, memory, or custom metrics. 0
- Declarative config. Desired state lives in version-controlled YAML the cluster converges toward. 0
- Cloud portability. The same manifests run on EKS, GKE, AKS, or bare metal. 0
- Rich ecosystem. Helm, operators, and service meshes cover almost every operational need. 0
Cons
- Steep learning curve. Pods, services, ingress, and RBAC overwhelm newcomers quickly. 0
- Operational overhead. Running a cluster well demands dedicated platform expertise. 0
- Overkill for small apps. A handful of services rarely justifies the complexity. 0
- Cost floor. Control plane and node overhead make tiny workloads expensive. 0