COURSE OBJECTIVE:
Hands-on learning of Kubernetes in the base and on bare metal. In line with the theory expected by the Cloud Native Computing Foundation for certification.
The aim of this training is that after this training the participant is able to start using Kubernetes in his/her organization as an Engineer:
• After this training, the participant has the basic knowledge to set up and use Kubernetes on both on-premise (self-hosting) and managed-hosting.
• Learning the Kubernetes basis, as formulated by the CNCF, from a hands-on approach and based on the Kubernetes architecture.
• This training lays the foundation needed for certification so that subsequent exam training courses can build on this.
• This training gives participants inside in Kubernetes as an application, at the hosting architecture level, and as a hosting platform.
TARGET AUDIENCE:
The training is meant for:
• Engineers responsible for designing, setting up, or managing Kubernetes clusters. The level of entry is from beginning to medium knowledge of Kubernetes.
• For anyone who aims to obtain certification as a Certified Kubernetes Administrator (CKA). This training teaches the theory needed for the CKA Exam.
COURSE PREREQUISITES:
Minimum dexterity/basic knowledge of Linux command-line (Bash, Linux commands), Private Keys and Public Keys are required to follow the pace of this training.
COURSE CONTENT:
This training follows the contents as prescribed for the CKA exam for certification by offering the theory in presentation form and performing 30 to 40 detailed exercises.
Topics taught:
• A History of IT
• Virtualization: what is a Virtual Machine and what is a Container. And what is the difference between the two?
• What is Kubernetes, what is Cloud Native? And why is this development important?
• Kubernetes architecture
• Kubernetes principles
• Kubernetes components
• Kubernetes Resources (deployment, replicaset, pods)
• Basic concepts of Kubernetes: control plane, resources in detail, services, draining nodes, setting limits, tolerations, anti-affinity, horizontal scaling, deployments, release management & canary releases, liveliness checks, readiness checks updates, rollbacks, configsmaps & secrets, lifecycle-hooks & init containers, logging, monitoring, troubleshooting, bootstrapping, component configuration, dns-networking, static pods, tls: communicating with apiserver, multi-containers, sidecar containers, pod-policies, linux-capabilities, privileges and access control, application troubleshooting, network policies, service accounts
• Storage
• Kubernetes use principles: Helmet, Ingress Controller
• Kubernetes security: Role Based Access Control (RBAC).
FOLLOW ON COURSES:
The following is recommended for further study:
Kubernetes CKA Exam Prep (GKKUBCKA-E)
Kubernetes Administrator Advanced (GKKUBCKAA)