Kubernetes Deep Dive

Containerize your application to get the advantage of the functionality without worrying about the actual setup of the system.

Duration

5 Day

Level

Intermediate Level

Design and Tailor this course

As per your team needs

Edit Content

The objective of this course is to ensure that participants who have familiarity with docker and Kubernetes are able to successfully build up on that knowledge and ramp up on advanced concepts like container patterns, security, resource management, scaling and managed Kubernetes in Cloud.

During this instructor-led, hands-on course, participants will learn to:

Understand container patterns
Cluster and namespace level resource management
Scaling and securing Kubernetes cluster
Get overview of Kubernetes service on AWS
Managing microservices based application with Helm

Edit Content

Services Architecture

Monolith
Microservices
Stateful vs Stateless Application
REST API
Cloud Native Application
Service Discovery

Container Introduction

Why and What
Images, Containers and Registers
Architecture
Docker CLI
DockerFile
DocekFile Lab

Kubernetes(K8s) Introduction

What and Why
Sidecar pattern
Phases and status of Pods
Types of Containers in Pod
Pod Lab
ReplicaSet
ReplicaSet Lab

Pods and Replicasets

Services

What and Why
K8s Service Discovery
Types of services in K8s
How Load Balancer Services works
Service Lab

Deployment

What and Why
Journey of deployment lifecycle
Deployment Descriptor
Deployment Lab

Volumes

What and Why
Different Volume Types
Config Map
K8s Secret
Volumes Lab

Persisitent Volumes

What and Why
LifeCycle of claim
Using PVC
Types of PVC
Access Modes
Persistent Volume Lab

Stateful Sets

What and Why
Journey of Stateful Set
Upgrade strategy inside statefulset
Use cases of statefulset
Statefulset Lab

Ingress

Why and What
Proxy
Ingress Controllers
Ingress Types
Ingress Lab

Deployment Powerups

Readyness Probe
Liveness Probe
Probes Lab
Affinity
NodeSelector
Affininty Lab

Request and Limits

Namespace
Quota
Limits
Requests and Limits Lab

Autoscaling

What and Why
HPA
HPA Lab
VPA
VPA Lab

DaemonSet

What and Why
DaemonSet
DaemonSet Lab

RBAC and Security

What and Why RBAC
Authentcationa nd Authorization
Roles, Cluster Role
Role Binding and Cluster Role Binding
What and Why security context
How to define security context for a pod
RBAC and Security Lab

Job and Cron Job

What and Why Job, CronJob
Use Case of Kubernetes CronJobs and Jobs
CronJobs and Jobs Lab

Monitoring

What and Why Monitoring
Monitoring in K8s
What is Prometheus
Exporters
Prometheus integration with Kubernetes
Graphana dashboard Setup

Logging

What is Log Monitoring
Why do we need log monitoring in K8s
Solutions for log monitoring in K8s
What is ElasticSearch
Eluentd
Kibana
Integration of ElasticSearch, Fluentd, and Kibana

Introduction to Helm

Charts
Repositories
Release
CLI

Edit Content

Understanding of containerization and docker (i.e. ability to build an image with dockerfile, tag/push/pull images, run containers, docker cli)

Understanding of basic K8s concepts (i.e. pod, service, deployment, configmap and probes)
Attendees should have coding experience and familiarity with build tools, source management with git, branching, automated testing, build and deployment automation
Basic aptitude with shell
Participants are required to have a laptop/computer with unobstructed internet access to fully participate in the class

FIND YOUR COURSE

Topics

Brands

Kubernetes Deep Dive

Duration

Level

Design and Tailor this course

Quick Links

our Offerings

Get in touch

Sign up for DataCouch Communications

Connect

we'd love to have your feedback on your experience so far