What is Kubernetes (K8s)?
Kubernetes (K8s) is an open-source platform for automating the deployment, scaling, and management of containerised applications across clusters of machines — the industry-standard container orchestration system used by most cloud-native organisations.
Kubernetes (K8s): Full Explanation
Kubernetes (abbreviated K8s) solves the operational complexity of running many containers at scale. Containers package applications with their dependencies, making them portable and consistent across environments. But managing hundreds or thousands of containers — ensuring they stay running, scaling them up when load increases, updating them without downtime — is unmanageable manually.
Kubernetes automates all of this. You describe the desired state of your application (run 10 replicas of this container, expose it on port 8080, restart it if it crashes) and Kubernetes continuously works to maintain that state across your cluster of machines. It handles node failures, rolling updates, horizontal scaling, and load balancing.
Originally developed by Google (based on their internal Borg system) and open-sourced in 2014, Kubernetes is now the de-facto standard for running AI model serving infrastructure, microservices, and data pipelines in production.
Key Facts About Kubernetes (K8s)
- ✓Kubernetes manages containerised applications across clusters, handling failures, scaling, and updates automatically.
- ✓Core concepts: Pods (smallest deployable unit), Deployments (desired state for Pods), Services (networking), Namespaces (isolation).
- ✓Managed Kubernetes services: AWS EKS, Azure AKS, Google GKE — all abstract the control plane management.
- ✓Kubernetes is the standard infrastructure for serving ML models in production (e.g. Kubeflow, Seldon Core).
- ✓The learning curve is significant — Kubernetes certification (CKA) requires substantial hands-on study.
- ✓Most enterprises use managed Kubernetes (EKS/AKS/GKE) rather than self-managed clusters to reduce operational burden.
Real-World Example: IT Services
A GCC in Hyderabad runs their ML model serving infrastructure on AWS EKS (managed Kubernetes). When inference load increases (e.g. during business hours in Europe), Kubernetes automatically scales the number of model-serving pods. When load drops overnight India time, pods scale down. The team estimates 45% cost savings vs always-on virtual machine instances, with zero manual scaling intervention.
Frequently Asked Questions
Do I need to learn Kubernetes to use cloud services?
Not necessarily. Serverless (Lambda, Functions) and PaaS services (App Service, Cloud Run) abstract away container orchestration. You need Kubernetes knowledge if you are running containerised microservices at scale, operating ML serving infrastructure, or building platform engineering capabilities.
What is the difference between Docker and Kubernetes?
Docker packages and runs individual containers. Kubernetes orchestrates many containers across many machines. Docker builds the containers; Kubernetes manages where and how they run in production. They are complementary technologies used together.
Which Kubernetes certification is most valuable?
The CKA (Certified Kubernetes Administrator) is the most widely recognised. For developers, the CKAD (Certified Kubernetes Application Developer) is more relevant. Both are performance-based exams requiring hands-on cluster management.