
Corso Kubernetes Administrator CKA
PANORAMICA

Corso di preparazione al conseguimento della:
Certificazione Kubernetes Administrator CKA
Sintesi Statistica :
Corsi realizzati: 64;
Numero Corsisti: 597;
Superamento Esame: 88,35%

Contattaci ora per ricevere tutti i dettagli e per richiedere, senza alcun impegno, di parlare direttamente con uno dei nostri Esperti CLICCA QUI.
Oppure chiamaci subito al nostro numero verde 800-177596.
OBIETTIVI DEL CORSO
In the Kubernetes Administrator course, you will learn how to manage and operate Kubernetes clusters, including topics such as cluster architecture and components, application deployment and scaling, networking and service discovery, storage and volume management, security and access control, monitoring and logging, and backup and disaster recovery. You will also learn best practices for managing Kubernetes clusters and gain hands-on experience working with Kubernetes tools and resources. By the end of the course, you should have the skills and knowledge necessary to deploy, manage, and operate Kubernetes clusters in production environments. In summary, a Kubernetes Administrator course can be an excellent way to prepare for the CKA certification exam by providing you with the knowledge, skills, and practical experience necessary to pass the exam.
CONTENUTI DEL CORSO
Kubernetes Administrator CKA
Basics of Kubernetes
- Basics of Kubernetes
- What Is Kubernetes?
- Components of Kubernetes
- Challenges
- Other Solutions
- Borg Heritage
- Kubernetes Architecture
- Terminology
- Innovation
- User Community
- Tools
- Cloud Native Computing Foundation (CNCF)
- Resource Recommendations
Installation and Configuration
- Installation Tools
- Installing kubectl
- Using Google Kubernetes Engine (GKE)
- Using Minikube
- Installing with kubeadm
- kubeadm-upgrade
- Installing a Pod Network
- More Installation Tools
- Installation Considerations
- Main Deployment Configurations
- Compiling from Source
Kubernetes Architecture
- Main Components
- Control Plane Node
- Worker Nodes
- Kubelet
- Operators
- Service Operator
- Pods
- Rewrite Legacy Applications
- Containers
- Init Containers
- Component Review
- API Call Flow
- Node
- Single IP per Pod
- Container to Outside Path
- Services
- Networking Setup
- CNI Network Configuration File
- Pod-to-Pod Communication
Apis and Access
- APIs and Access
- API Access
- RESTful
- Checking Access
- Optimistic Concurrency
- Using Annotations
- Simple Pod
- Manage API Resources with kubectl
- Access from Outside the Cluster
- ~/.kube/config
- Namespaces
- Working with Namespaces
- API Resources with kubectl
- Additional Resource Methods
- Swagger and OpenAPI
- API Maturity
Api Objects
- API Objects
- Overview
- v1 API Group
- Discovering API Groups
- Deploying an Application
- DaemonSets
- StatefulSets
- Autoscaling
- Jobs
- RBAC
Managing State with Deployments
- Deployments
- Object Relationship
- Deployment Details
- Deployment Configuration Metadata
- Deployment Configuration Spec
- Deployment Configuration Pod Template
- Deployment Configuration Status
- Scaling and Rolling Updates
- Deployment Rollbacks
- Using DaemonSets
- Labels
Volumes and Data
- Introducing Volumes
- Volume Spec
- Volume Types
- Shared Volume Example
- Persistent Volumes and Claims
- Persistent Volume
- Persistent Volume Claim
- Dynamic Provisioning
- Using Rook for Storage Orchestration
- Secrets
- Using Secrets via Environment Variables
- Mounting Secrets as Volumes
- Portable Data with ConfigMaps
- Using ConfigMaps
Services
- Service Update Pattern
- Accessing an Application with a Service
- Service Types
- Service Types (Continued)
- Services Diagram
- Overall Network View
- Local Proxy for Development
- DNS
- Verifying DNS Registration
Helm
- Helm
- Deploying Complex Applications
- Helm v3
- Chart Contents
- Templates
- Chart Repositories and Hub
- Deploying a Chart
Ingress
- Ingress Controller
- nginx
- Google Load Balancer Controller (GLBC)
- Ingress API Resources
- Deploying the Ingress Controller
- Creating an Ingress Rule
- Multiple Rules
- Intelligent Connected Proxies
Scheduling
- kube-scheduler
- Filtering (Predicates)
- Scoring (Priorities)
- Scheduling Policies
- Pod Specification
- Specifying the Node Label
- Scheduler Profiles
- Pod Affinity Rules
- podAffinity Example
- podAntiAffinity Example
- Node Affinity Rules
- Node Affinity Example
- Taints
- Tolerations
- Custom Scheduler
Logging and Troubleshooting
- Basic Troubleshooting Steps
- Ephemeral Containers
- Cluster Start Sequence
- Monitoring
- Using krew
- Managing Plugins
- Sniffing Traffic With Wireshark
- Logging Tools
- Understanding Fluentd
- Understanding Prometheus and Grafana
- More Resources
Custom Resource Definitions
- Configuration Example
- New Object Configuration
- Optional Hooks
- Understanding Aggregated APIs
Security
- Cloud Security Considerations
- Accessing the API
- Authentication
- Authorization
- RBAC and Webhook Modes
- Admission Controller
- Security Contexts
- Pod Security Policies
- Network Security Policies
- Network Security Policy Example
- Default Policy Example
High Availability
- High Availability
- Cluster High Availability
- Collocated Databases
- Non-Collocated Databases
Attività Laboratoriali
- How to connect to lab
- Install Kubernetes
- Work with the cluster
- Imperative and declarative
- API
- API Discovery
- Anatomy API Request
- Namespace
- Labels
- Running Pods
- Running Multi-container Pods
- Pod Lifecycle
- Implementing container probes
- System Pods and Controllers
- Create Deployment
- Create Deployment-Replicaset
- Update a Deployment
- Rolling back Deployment
- Scaling a Deployment
- Creating a Daemonset
- Executing Jobs and CronJobs
- Storage Static Provisioning
- Storage Dynamic Provisioning
- Environment Variables
- Secrets
- Private Container Registry
- ConfigMap
- Scheduling
- Scheduling with Affinity and Antiaffinity
- Node Cordoning
- Calico CNI Plugin
- Configure CoreDNS
- Services
- Service Discovery
- Ingress
- ETCD
- Upgrade Kubernetes
- Logging
- JSONpath
- Monitoring with Metric Server
- Troubleshooting Node failures
- Troubleshooting Control Plane failures
- Troubleshooting Workloads
- Authentications
- Manage Authorizations
- PKI on controller
- Create a certificate for a new user
- kubeconfig and context
- RBAC
TIPOLOGIA DEL CORSO
Corso di Formazione con Docente;
INFRASTRUTTURA LABORATORIALE
Per tutte le tipologie di erogazione, il Corsista può accedere alle attrezzature e ai sistemi reali presenti nei Nostri laboratori o direttamente presso i data center internazionali in modalità remota h24. Ogni partecipante dispone di un accesso per implementare le varie configurazioni avendo così un riscontro pratico e immediato della teoria affrontata. Ecco di seguito alcuni scenari tratti dalle attività laboratoriali:

PREREQUISITI
Competenza di base in ambienti Linux.
DURATA E FREQUENZA
Durata Intensiva 5gg;
Varie tipologie di Frequenza Estensiva ed Intensiva.
DOCENTI
I docenti sono Istruttori certificati CKA e pluricertificati in varie tecnologie IT, con anni di esperienza pratica nel settore e nella Formazione.
MODALITÀ DI ISCRIZIONE
Le iscrizioni sono a numero chiuso per garantire ai tutti i partecipanti un servizio eccellente.
L’iscrizione avviene richiedendo di essere contattati dal seguente Link, o contattando la sede al numero verde 800-177596 o inviando una richiesta all’email [email protected].
CALENDARIO
- Corso Kubernetes Administrator CKA (Formula Intensiva 5gg) – 05/06/2023 – 9:00 – 17:00