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31050252
Kubernetes
Description
Conceptos de Kubernetes
No tags specified
kubernetes
container orchestration
opción de grado
Mind Map by
Andrés Felipe Velandia Orjuela
, updated more than 1 year ago
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Created by
Andrés Felipe Velandia Orjuela
over 3 years ago
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Resource summary
Kubernetes
CONTAINERS
standarized, portable and consistent application environments
Control groups (cgroups)
Hardware resources management
Allow the host to share or limit resources for a process or container
Namespaces
Process, filesystem and networking isolation
Container processes are limited to see only what is in the same namespace
Union filesystems
Containers run from an image (.iso)
Components
Most common ones for basic deployments
Node
A physical or virtual machine
Where the service is deployed
Pod
the smallest unit of K8's
Runner environment over the Node
Abstraction over container
Helps so it only interacts with the kubernetes layer
Can run a variety of container technologies
There's usually one container (appliaction) per pod
Each Pod gets an IP of a K8 virtual network
Gets a new IP each time it restarts
Service
Static IP address
Can be attached to a Pod
If a Pod dies, the service keeps the IP address
Can be external (targets the node) or internal (targets the pod)
Load Balancer
Ingress
Does forwarding from requests to services
Ensures TLS and DNS
Meta-configuration
ConfigMap
External configuration for an application
config services URL, etc.
Secret
Contains meta-variables encoded in a base64 format
variables like credentials
Data Storage
Volumes
Data in Pods are volatile
Attaches a physical storage in the hard drive to a Pod
Storage can be done on the local machine or remotely (outisde of K8 cluster)
Replica and Schedule Management
Deployment
Blueprints for applications running on pods
Abstraction of Pods
Adjust the number of replicas of a Pod
StatefulSet
Avoid data inconsistencies on pods that need persistant data (like datbases)
Control which pods write on volumes
for STATEFUL applications
Architecture
Types of nodes
Master
4 Processes necessary on Master Node
API Server
Interaction from user to cluster to deploy applications
Can be a UI, CLI (kubelet)
Cluster gateway which validates requests
Scheduler
Decides which node starts an application Pod
Schedules based on performance and resource usage on Pods
Controller Manager
Monitors and detects state changes like Pod failures
Tells Scheduler to re-schedule downed Pods
etcd
key value stored of the cluster state
Logs of cluster activities
Application data is not stored, only cluster related data
Slave
3 Processes necessary on each node
Container runtime
Ex. Docker
Kubelet
Interacts with the container runtime and the pod
Assign resources to the container
Kube Proxy
Forwards requests from services to Pod
Performance of communication
also called Worker node
Does the application (service) processing
It is a Container Orchestrator
Makes microservices more available
Services that are Highly maintainable and testable, loosely coupled, independtly deployable and owned by a small team.
Multiple development environment scenarios
Cloud
On premises
Hybrid
Management of large scale conteneraized applications
Offering availability, scalability and disaster recovery of services
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