[Container] Introduction to Kubernetes

• Define Kubernetes
  • Also know as K8S, is an open-source system for automating deployment, scaling, and management of containerized applications.
  • An open source containerization orchestration paltform.
  • Easoly portable across clouds and on-premises
  • Includes a growing ecosystem of projects, products and partners
  • Facilitates declarative management.
• Explain what Kubernetes is not
  • Is not a traditional, all-inclusive paltform as a services
  • Is not rigid or opinionated but a flexible model that supports a diverse variety of workloads and containerized applications.
  • Does not provide integration/continuous delivery (CI/CD) pipelines to deploy source code or build applications
  • Does not prescribe logging, monitoring, or alerting solutions.
  • Does not provide build-in middleware, databases, or other services
• Relate Kubernetes concepts
  • Pods and Workloads: Pods are the smallest deployable compute object in Kubernetes and the higher-level abstractions to run workoads.
  • Services: A service exposes application running on a set of Pods.
  • Storage: Kubernetes supports both persistent and temporary Pods
  • Confiuration: Resources that Kubernetes provides for configuring Pods.
  • Security: Security for cloud-native workload enforces security for Pod and API access.
  • Policies: Create policies for groups of resources help ensure that Pods match to the Nodes so that the Kubelet can find then and run the Pod
  • Schedule, Eviction: Runs and proactively terminates one or more Pods on resource-starved Nodes
  • Preemption: Terminates lower priority Pods so that higher priority Pods can run on Nodes
  • Administration: Management details necessary to administer a Kubenetes cluster
• Describe Kubernetes capabilities
  • Autmated rollouts and rollbacks
    • Progrssively rolls out changes to application or configuration
    • Monitors application health and ensures instances are running
    • Rolls back changes
  • Storage orchestration
    • Automatically mounts your chosen storage system whether from local storage, network storage, or public cloud
  • Horizontal scaling
    • Scales load automatically based on metrics or via commands
  • Automated bin packing
    • Increaes resource utilization and cost savings using a mix of critcal and best-effort workloads
    • Performs container auto-placement based on resource requirements and conditions without sacrificing high availiblity(HA)
  • Secret and configuration management
    • Stores and manages sesitive inforation (credentials, keys or tokens) securely
    • Depolys and updates secrets and configuration without rebuilding images
  • IPv4/IPv6 dual-stack
    • Assings both IPv4 and IPv6 addresses to Pods and Services
  • Batch execution
    • Manages batch and continuous integration workloads, and replaces failed containers, if configured
  • Self-healing
    • Restarts, replaces, reschedules, and kills failing or unresponsive containers.
    • Exposes containers to clients only if healthy and running
  • Service discovery and load balancing
    • Discovers Pods using their own IP addresses or a single DNS name
    • Load-balances traffic acrossPods for better performance and high availabilty
  • Designed for extensibility
    • Easily extensible by adding or providing addtional features to your Kubernetes cluster without any source code modifications
• Describe the Kubernetes ecosystem
  • COntains services, support and tools that are widely available
  • Provides additonal Kubernetes services
    • Buidling container images
    • Storing images in a container registry
    • Application logging and monitoring
    • Continuous improvement and continuous delivery CI/CD
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