Pods
Running containers across many machines, and keeping them running.
8 chapters · ~7h
Start with the first chapterChapters
- Container Orchestration (Kubernetes)Intermediate75 min
- Security (AWS Secrets Manager)Advanced40 min
- Advanced Networking (Service Mesh)Advanced45 min
- Cluster Bootstrapping (Kubeadm)Advanced60 min
- Networking FundamentalsBeginner55 min
- The Foundation (Linux)Beginner45 min
- Version Control (Git & GitHub)Beginner50 min
- Centralized Logging (Fluentd/Loki)Intermediate40 min
Labs
- Kubernetes Workloads: Pod, ReplicaSet, Deployment45m
- Kubernetes Services & Service Discovery45m
- Kubernetes Security Hardening (NetworkPolicies) & HPA47m
- Kubernetes Storage: PVC, PV and StorageClass50m
- Core Kubernetes Workloads, ConfigMaps & Secrets31m
- Deploying Kube-Prometheus-Stack on AWS EKS31m
- Managing EKS Cluster Add-ons with Helm & IRSA39m
- Application Routing with K8s Ingress & AWS Load Balancer Controller23m
Part of these roadmaps
Questions from the curriculum
21 questions covering this topic.
Open the question bank →Used in these projects
- Cloud DevOps Capstone — iVolveThree microservices taken from raw source code to a running, monitored, GitOps-managed deployment on AWS EKS.
- Cloud-Native DevOps PlatformA self-managed Kubernetes platform on AWS — provisioned with Terraform, configured with Ansible, delivered through Jenkins and Argo CD.
- NTI Cloud DevOps Capstone — the PlatformA production-shaped AWS platform: Terraform modules for VPC, EKS, RDS and ECR, a Jenkins pipeline with blocking SonarQube and Trivy gates, and a kube-prometheus-stack behind it.
- NTI Cloud DevOps Capstone — Step by StepThe same AWS capstone taught as 19 reproducible labs across eight numbered modules, each with its own README so it can be followed in order.
- iVolve Cloud & DevOps InternshipThe full internship worklog — every lab, in order, with the commands that were actually run.