Finally cleared CKA-style scenarios at work. The pacing and diagrams made networking click.
Kubernetes Masterclass
Master Kubernetes Beyond the Basics
This 25+ hours hands-on course teaches you not just the "how" but the "why" so you can confidently run Kubernetes in production.
- Master Kubernetes fundamentals and advanced concepts
- Understand concepts through clear diagrams and simple explanations
- Master the complete ecosystem, including microservices, service mesh, logging, monitoring, and CI/CD.
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Join 2,400+ engineers
Enrollment discount:
25% off at checkout — use code KUBE25
Reviews
What students say
Hear directly from students who've taken this course — real experiences and honest feedback.
We cut incident time on deploys. The module on rollbacks and probes alone paid for the course.
Best structured K8s content I’ve taken. Feels like a senior teammate walking the cluster with you.
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Sample lessons
See how topics are explained before you enroll — full course uses the same style and depth.
Curriculum
What you'll learn
See what you'll learn in this course — the lessons are organized into modules below.
- Confidently write Kubernetes manifests for different application types and deploy on Amazon EKS.
- Set up logging, monitoring, service mesh, and CI/CD around your workloads.
- Configure commonly used tools: Prometheus, Grafana, Istio, Kiali, Jaeger, and Argo CD.
- Docker fundamentals: write Dockerfiles, build images, and run containers.
- Kubernetes components and cluster architecture as the course foundation.
- YAML fundamentals and why they matter in Kubernetes workflows.
- Create EKS clusters with both
eksctlCLI and config files. - Understand imperative vs declarative approaches in deployment workflows.
- Kubernetes fundamentals: Namespace, Pod, ReplicaSet, Deployment, Service, and related resources.
- Advanced K8s concepts: Probes, Init Containers, ConfigMap, Secrets, Requests/Limits, and Service Quotas.
- Storage in Kubernetes: PV, PVC, and EBS CSI Driver for Amazon EBS on EKS.
- Cluster and workload scaling: Cluster Autoscaler, HPA, and VPA.
- Add private node groups in EKS and remove public node groups.
- Deep dive into LoadBalancer services: CLB and NLB.
- Deploy AWS Load Balancer Controller (formerly AWS ALB Ingress Controller).
- Ingress in depth: instance/IP mode, health checks, SSL, SSL redirect, internal ALB, and related patterns.
- Create NLB with AWS Load Balancer Controller.
- Kubernetes Service Accounts and IAM Roles for Service Accounts (IRSA).
- Deploy ExternalDNS to automatically manage Route53 records.
- Use EKS with Amazon ECR for image lifecycle and deployments.
- Microservices architecture fundamentals and design principles.
- Deploy a simple 3-tier application using microservices on Amazon EKS.
- Deploy a meshed microservices architecture with three microservices.
- Deploy Metrics Server to monitor Kubernetes resource utilization.
- Set up cluster and application logging with Fluent Bit and CloudWatch.
- Set up monitoring with open-source Prometheus and Grafana.
- Understand Istio service mesh architecture and core components.
- Traffic management with gateways, virtual services, and destination rules.
- Deploy Kiali and Jaeger for observability and distributed tracing.
- Reconfigure Istio to use Application Load Balancer instead of Classic Load Balancer.
- Advanced routing: traffic splitting, canary, fault injection, circuit breaker, and retry strategies.
- Set up CI/CD with AWS CodePipeline and CodeDeploy.
- Set up Argo CD for declarative GitOps continuous delivery.
- Configure continuous deployment workflows using Argo CD.
- Helm Charts and other advanced Kubernetes concepts.
- EKS Fargate profiles, Amazon VPC CNI, and additional production topics.
Who it's for
Is this course for you?
Find out if this course is right for you, based on your current level, learning goals, and what you’re looking to achieve.
Beginners in Kubernetes & DevOps
Ideal if you are getting started with Kubernetes, microservices, DevOps, and CI/CD, and want a structured path using Amazon EKS as the real-world platform.
Architects, developers & system administrators
Great for professionals who want to deploy a well-architected microservices setup on Amazon EKS and make sound infrastructure decisions.
Engineers curious about real company setups
Learn how teams deploy applications on Amazon EKS and integrate logging, monitoring, DevOps tooling, CI/CD pipelines, and service mesh in practice.
Learners who want fundamentals + advanced depth
The course spans foundational to advanced topics across Kubernetes, microservices, logging, monitoring, service mesh, and CI/CD for deeper technical mastery.
Prerequisites: You don't need any prior experience — this course starts right from the ground up. We'll build your foundation with Docker, YAML, and core concepts, then guide you step by step into Kubernetes and real hands-on practice.
Instructor
Who’s teaching this
A quick sense of who designed the path — so you know the voice in the lessons before you enroll.
Reyansh Kharga
Lead platform engineer · Kubernetes & cloud infrastructure
I care more about you leaving calm under fire than memorizing every API field.
Reyansh has spent the last decade building and operating Kubernetes for product teams—from early migrations to tightening production guardrails. This masterclass is the map they wish they had on day one: fewer slides, more “what actually breaks.”
Lessons lean on real failure modes, repeatable checklists, and the mental models senior platform folks use when pager noise starts—so you build judgment, not just muscle memory.
FAQ
Frequently asked questions
Straight answers so you know what you’re buying before you enroll.
Comfort with the command line and containers (e.g. Docker) is enough to start. We build K8s concepts from first principles before going deep.
The focus is job-ready skills. Many topics overlap with CKA/CKAD-style domains, but this is not a dump of exam dumps—replace this copy if you target a specific cert.
Placeholder: e.g. lifetime access to videos and updates for 12 months—set your real policy on the checkout page.
Placeholder: community Q&A, office hours, or ticketed support—state what you actually offer to set expectations.
Ready to own your cluster story?
Join engineers who stopped treating Kubernetes like magic and started treating it like infrastructure—with clarity, patterns, and practice.
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