Metrics

Chapters

• Metrics (Prometheus)Advanced55 min
• Introduction to ObservabilityIntermediate30 min
• Amazon Web Services (AWS)Beginner40 min
• Version Control (Git & GitHub)Beginner50 min
• Data Visualization (Grafana)Intermediate35 min
• Elasticity (AWS Auto Scaling)Intermediate35 min
• Package Management (Helm)Intermediate45 min
• High Availability (AWS Load Balancers)Intermediate35 min

Labs

• Deploying Kube-Prometheus-Stack on AWS EKS31m
• Managing EKS Cluster Add-ons with Helm & IRSA39m
• Custom Prometheus Alert Rules & Grafana Dashboards23m
• Kubernetes Security Hardening (NetworkPolicies) & HPA47m
• Automated Jenkins Server & Toolchain Provisioning31m

Part of these roadmaps

• Cloud DevOps Engineer
• Kubernetes Specialist

Questions from the curriculum

4 questions covering this topic.

Used in these projects

• 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.