Kubernetes in Production
Build, ship, and operate clusters the way teams actually do
This course is available via:
| Plan | Courses | Price | |
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All Courses
8 courses in this plan
Kubernetes in Production • this course
Git For Production Teams
Infrastructure as Code with Terraform
Linux Cloud Way
Node.js From Scratch
AWS DevOps 90 %
Data Structures Decode
Algorithms Analysis and Design from scratch
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8courses | Original price was: 220.00 $.160.00 $Current price is: 160.00 $. | Subscribe |
What You’ll Learn
Kubernetes Architecture & Fundamentals
Control plane, node components, etcd, and the kubectl survival kit for daily work
Pods, Deployments & StatefulSets
The controller pattern, running databases with PVCs, and stateful vs stateless workloads
Services & Ingress
ClusterIP, NodePort, LoadBalancer, nginx-ingress, and TLS termination with cert-manager
Configuration, Secrets & Health Checks
ConfigMaps, Secrets, and liveness/readiness/startup probes done right
Scaling & Zero-Downtime Deployments
HPA, rolling updates and rollbacks, resource quotas and QoS classes
Security & Access Control
RBAC, ServiceAccounts, and zero-trust network policies between services
CI/CD, Helm & GitOps
Pipelines to Kubernetes, Helm packaging, and ArgoCD app-of-apps sync
Production Operations on EKS
Managed Kubernetes, multi-environment strategy, observability, canary rollouts, and Karpenter autoscaling
Prerequisites
In order to start this course you must have these skills:
Linux Basics
Familiarity with Linux commands, file system navigation, and editing configuration files
Docker
Comfortable building and running containers
Basic Networking Concepts
Understanding of IP addressing, ports, DNS, and basic connectivity troubleshooting
AWS
A project in this course will run on AWS EKS
Git Basics
Cloning, branching, and committing, since Dockerfiles and Compose files are often version-controlled
JSON/YAML Familiarity
For reading and writing Docker Compose configurations and inspecting container metadata
Terminal/CLI Comfort
Ability to navigate a terminal, run commands, and interpret command output without a GUI
Basic Programming Knowledge
Understanding of how a simple web service or script executes
Recommended Courses:
Course Instructor
Mohamed Gamal
Senior Platform Engineer II
4+ Years of Experience
A Senior DevOps/Platform Engineer specializing in multi-cloud infrastructure across AWS, GCP, and Azure, with deep expertise in Kubernetes, Terraform, and CI/CD automation. He has worked at companies such as Rabbit, Nagwa, and _VOIS, building scalable, secure, and cost-effective systems using Infrastructure as Code, container orchestration, and comprehensive monitoring. His experience includes enterprise-grade implementations of HashiCorp Vault, OIDC authentication, and cross-cloud ML infrastructure. He focuses on building reliable, scalable systems that help engineering teams move faster with confidence.
