GTR = sesiune garantata
*Pretul nu include TVA si este valabil pentru un participant inscris la sesiuni publice sau la un curs in format SPVC sau WBT.
Inscrierea la o sesiune publica nu va garanteaza rezervarea unui loc. La scurt timp de la momentul inscrierii, veti fi contactat de un reprezentant Kluger pentru confirmarea rezervarii si a pretului final.
Disponibilitatea acestui curs in alte formate de livrare, sub un cod diferit, se poate verifica in portofoliu.
Daca doriti o sesiune privata, cu agenda standard sau adaptata nevoilor dvs., va rugam sa ne contactati.
DESCRIERE
Inspired by cncf and kubernetes.io , the Kubernetes for Developers course is designed for developers who have basic Containers knowladge and want to get started with Kubernetes and gain more expertize. It is focused on Cloud Native principles and microservices architectures. The foundation of this course is hands-on practice which helps you to develop the necessary skills needed to interact with Kubernetes ecosystem.
This course aligns with the requirements for the Certified Kubernetes Application Developer exams from the Cloud Native Computing Foundation.
Once you master Kubernetes, you can manage other container-orchestration solutions such as: RedHat Openshift, Rancher, Amazon EKS, Azure AKS, Google GKE, IBM Cloud Kubernetes Service.
OBIECTIVE
- Kubernetes architecture
- Deploy an application on Kubernetes
- Understand multi-container pod design
- Decouple application configuration
- Add state persistence to your application
- Configure cluster authorization and access control
- Autoscale your application based on compute metrics
- Isolate workloads with Network Policies
- Deploy your application using Helm
- Advanced continuous deployment strategies used in Kubernetes
- Use Observability pillars to improve cluster and application reliability
- Troubleshoot a real K8s application in a 2h “Capture the Flag” session
- And much more!
AUDIENTA
Developers and architects who want to get started with Kubernetes and gain more skills.
PRERECHIZITE
CONTINUT
Day 1
Course introduction
- Course goals
- Recommended lectures
- Kubernetes certifications
- Your practice environment
Kubernetes architecture
- Kubernetes adoption
- Kubernetes features
- Self-Healing
Lab: Setup your K8s lab cluster
Pods
- Pod manifest
- Pods operations (create, list, delete, update, debug)
- Pod Lifecycle
- Container probes (self-healing with Readiness and Liveness Probes)
- Resource Management (resource requests vs resource limits)
Lab: Deploy, monitor and configure resource management for Pods
Services and Load Balancing
- Multi-Port Services
- Service types
- Cluster internal DNS
- Ingress controllers
Lab: Exposing your application inside and outside of a K8s cluster
ReplicaSet and Deployment
- Controller Objects
- Working with ReplicaSet and Deployments
- Taints and Tolerations
- Deployment strategies
- Autoscaling applications deployed on K8s
Lab: Deploy a real application on a K8s cluster
Day 2
Persistance in Kubernetes
- Types of Volumes
- Persistent Volume
- Persistent Volume Claim
Lab: Add persistance to an existing application deployed on a K8s cluster
Kubernetes Configuration
- ConfigMaps
- Secrets
- Secrets vs ConfigMaps
- Encrypting secrets in etcd
Lab: Use secrets and configmaps to decouple configuration for an existing application deployed on a K8s cluster
Role-Based Access Control
- Authorization with RBAC
- Roles and ClusteRoles
- RoleBindings and ClusterRoleBindigs
- Default ClusterRoles
- Working with user permissions at the namespace level
Lab: Create a user with limited access on a K8s namespace
Package management with Helm
- Explain Helm Charts
- Working with Chart Repositories
- Helm Releases
Lab: Deploy an application on a K8s cluster using Helm
Mastering kubectl
- Configuration Best Practices
- Kubeconfig
- Kubectl cheatsheet
- Kubectl explain
Lab: Boost your kubectl productivity
Day 3
Obervability
- Monitoring Kubernetes components with Prometheus
- Setup prometheus on K8s
- Monitoring an application deployed on K8s cluster
- The Four Golden Signals from Google SRE book
Lab: Use Prometheus to monitor K8s components
Deployment strategies on Kubernetes
- Explain Recreate strategy
- Explain Ramped strategy
- Explain Blue/Green strategy
- Explain Canary strategy
- Explain A/B testing strategy
- Explain Shadow strategy
Lab: Deploy an application on K8s using Blue/Green and Canary strategies
Troubleshooting and CTF
- Loggging
- Strategies to debug applications and K8s components
- Trooublshooting an application deployed on a K8s cluster
Lab: Solve real K8s application challanges in a 2h “Capture the Flag” session