Glossary/Kubernetes
    DevOps & Infrastructure

    What is Kubernetes?

    Kubernetes (K8s) is an open-source container orchestration platform that automates deployment, scaling, and management of containerized applications across clusters of machines.

    Last updated: February 2026

    Kubernetes Explained

    Kubernetes (K8s) is the industry-standard platform for orchestrating containerized applications at scale. Originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF), Kubernetes automates the deployment, scaling, load balancing, and management of containers across clusters of machines. It provides self-healing capabilities (restarting failed containers), horizontal scaling, rolling updates with zero downtime, and service discovery. While Docker packages individual containers, Kubernetes manages fleets of containers in production. At M3L Software, we implement Kubernetes for enterprise clients who need production-grade container orchestration, auto-scaling, and high availability across multiple environments.

    Key Features

    Automated container deployment and scaling
    Self-healing (restarts failed containers)
    Service discovery and load balancing
    Rolling updates with zero downtime
    Secret and configuration management
    Storage orchestration

    Common Use Cases

    1
    Large-scale microservices deployment
    2
    Auto-scaling applications based on demand
    3
    Multi-cloud and hybrid cloud deployments
    4
    CI/CD pipeline integration
    5
    High-availability production systems

    Frequently Asked Questions

    Do I need Kubernetes?

    Not always. Kubernetes adds significant complexity. If you're running a few containers, Docker Compose or a simple PaaS (Railway, Render) may be sufficient. Kubernetes shines when you have many services, need auto-scaling, or require high availability.

    Kubernetes vs Docker—what's the difference?

    Docker creates containers. Kubernetes orchestrates them. They're complementary, not competing. Docker packages your app into a container; Kubernetes manages many containers across many machines.

    How long does it take to learn Kubernetes?

    Basic Kubernetes concepts take 2-4 weeks. Production-level expertise takes 3-6 months. Consider managed Kubernetes services (EKS, GKE) to reduce operational complexity.

    Related Terms

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