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Kubernetes Monitoring in 29 Minutes — Prometheus + Grafana Complete Production Setup (Day 12
Welcome to Day-12 of the Kubernetes Zero to Hero Series by Tech With Diwana.
This is one of the most complete, practical, industry-style monitoring tutorials ever built for Kubernetes.
In this 29-minute high-impact masterclass, you will learn how to design, deploy, and understand a full Prometheus + Grafana observability ecosystem exactly the way it is implemented in real production clusters across modern DevOps and SRE teams.
This episode is not just about dashboards.
You will learn the entire monitoring architecture end-to-end, how each component works internally, and how enterprise-grade observability pipelines operate. The goal of this session is to give you real-world clarity that prepares you for production environments and DevOps/SRE interviews.
If you are building your DevOps career, preparing for interviews, or want industry-grade Kubernetes knowledge — this episode is absolutely essential.
⭐ What This Episode Covers (Detailed Learning Breakdown)
🔹 Complete Prometheus + Grafana Architecture
A visually explained walk-through of all 12 key components of the monitoring stack:
Prometheus Server, Grafana, Alertmanager, Node Exporter, kube-state-metrics, cAdvisor, Kubelet Metrics Endpoint, Pushgateway, ServiceMonitor, PodMonitor, Prometheus Operator, Ingress routing.
🔹 How Kubernetes Metrics Actually Flow
Learn how metrics move from Kubelet → exporters → Prometheus TSDB → Grafana panels.
🔹 kube-prometheus-stack Installation (Production Pattern)
Helm-based setup of the full stack including CRDs, rules, dashboards, exporters, and auto-discovery.
🔹 Application Monitoring (Pod-Level)
CPU, memory, container metrics, and how to write queries that work in real workloads.
🔹 Node-Level Monitoring (Infrastructure View)
Node CPU, Node Memory, system-level insights used by SRE teams.
🔹 Exposing Metrics UIs (Ingress)
Production-style ingress setup for clean domain-based routing:
http://app.local, http://grafana.local, http://prometheus.local.
🔹 Full Hands-On Demo (Step-by-Step)
Minikube setup, Helm installation, YAML manifests, service monitoring, dashboard building, PromQL writing, and testing metrics using pod restarts + load spikes.
🔹 Real DevOps/SRE Interview Knowledge
5 critical monitoring questions asked in companies like:
“How does Prometheus auto-discover targets?”,
“What is the pull model and why companies prefer it?”,
“How does TSDB store time-series data?”,
“What exporters are essential in Kubernetes?”,
“What’s the difference between PodMonitor vs ServiceMonitor?”
📌 GitHub Repository (All YAML + Architecture + Commands)
🔗 https://github.com/techwithdiwana/kubernetes-zero-to-hero/tree/main/day12-prometheus-grafana
This repo contains 100% of what was shown: deployments, services, ingress, dashboards, PromQL, diagrams, and sample application manifests.
🎬 Timestamps (Clickable Chapters)
00:00 – Intro
00:20 – Why Monitoring Matters
00:40 – What You Will Learn
01:10 – Architecture Overview
01:25 – Prometheus Stack Components
02:00 – Full Architecture Diagram
03:00 – Prometheus Server
04:00 – Grafana Explained
04:45 – Node Exporter & cAdvisor
05:20 – kube-state-metrics & Pushgateway
06:00 – Pull vs Push Model
07:00 – Kubernetes Metrics Flow
08:00 – Top DevOps/SRE Interview Questions
09:30 – Hands-On Demo Begins
10:00 – Minikube Setup
11:00 – kube-prometheus-stack Installation
13:00 – Sample App Deployment
15:00 – Ingress for App & Grafana
17:00 – Accessing Prometheus & Grafana
18:00 – Creating Dashboards
23:00 – Live Monitoring & Load Testing
26:00 – Built-In Dashboards
27:00 – Final Thoughts
28:00 – Outro
🧠 Who Should Watch This Episode?
✔ DevOps Engineers
✔ Kubernetes Learners
✔ SRE / Platform Engineers
✔ Cloud Engineers
✔ Students preparing for DevOps interviews
✔ Anyone wanting production-level Kubernetes knowledge
✔ Engineers learning Prometheus, Grafana, and Observability
🌐 Connect With Tech With Diwana
New episodes coming weekly. Day-13 will continue the journey into advanced Kubernetes topics.
Make sure to subscribe & share this series with your DevOps community.
#kubernetes #prometheus #grafana #devops #observability #cloudnative #k8s
#promql #sre #monitoring #infrastructure #minikube #kubernetesmonitoring
#techwithdiwana #devopstutorial #grafanadashboard #prometheustutorial
#kubeprometheusstack #cloudengineering #platformengineering #kubernetestutorial
#linux #containers #docker #microservices #metrics #alerting
Видео Kubernetes Monitoring in 29 Minutes — Prometheus + Grafana Complete Production Setup (Day 12 канала Tech With Diwana
This is one of the most complete, practical, industry-style monitoring tutorials ever built for Kubernetes.
In this 29-minute high-impact masterclass, you will learn how to design, deploy, and understand a full Prometheus + Grafana observability ecosystem exactly the way it is implemented in real production clusters across modern DevOps and SRE teams.
This episode is not just about dashboards.
You will learn the entire monitoring architecture end-to-end, how each component works internally, and how enterprise-grade observability pipelines operate. The goal of this session is to give you real-world clarity that prepares you for production environments and DevOps/SRE interviews.
If you are building your DevOps career, preparing for interviews, or want industry-grade Kubernetes knowledge — this episode is absolutely essential.
⭐ What This Episode Covers (Detailed Learning Breakdown)
🔹 Complete Prometheus + Grafana Architecture
A visually explained walk-through of all 12 key components of the monitoring stack:
Prometheus Server, Grafana, Alertmanager, Node Exporter, kube-state-metrics, cAdvisor, Kubelet Metrics Endpoint, Pushgateway, ServiceMonitor, PodMonitor, Prometheus Operator, Ingress routing.
🔹 How Kubernetes Metrics Actually Flow
Learn how metrics move from Kubelet → exporters → Prometheus TSDB → Grafana panels.
🔹 kube-prometheus-stack Installation (Production Pattern)
Helm-based setup of the full stack including CRDs, rules, dashboards, exporters, and auto-discovery.
🔹 Application Monitoring (Pod-Level)
CPU, memory, container metrics, and how to write queries that work in real workloads.
🔹 Node-Level Monitoring (Infrastructure View)
Node CPU, Node Memory, system-level insights used by SRE teams.
🔹 Exposing Metrics UIs (Ingress)
Production-style ingress setup for clean domain-based routing:
http://app.local, http://grafana.local, http://prometheus.local.
🔹 Full Hands-On Demo (Step-by-Step)
Minikube setup, Helm installation, YAML manifests, service monitoring, dashboard building, PromQL writing, and testing metrics using pod restarts + load spikes.
🔹 Real DevOps/SRE Interview Knowledge
5 critical monitoring questions asked in companies like:
“How does Prometheus auto-discover targets?”,
“What is the pull model and why companies prefer it?”,
“How does TSDB store time-series data?”,
“What exporters are essential in Kubernetes?”,
“What’s the difference between PodMonitor vs ServiceMonitor?”
📌 GitHub Repository (All YAML + Architecture + Commands)
🔗 https://github.com/techwithdiwana/kubernetes-zero-to-hero/tree/main/day12-prometheus-grafana
This repo contains 100% of what was shown: deployments, services, ingress, dashboards, PromQL, diagrams, and sample application manifests.
🎬 Timestamps (Clickable Chapters)
00:00 – Intro
00:20 – Why Monitoring Matters
00:40 – What You Will Learn
01:10 – Architecture Overview
01:25 – Prometheus Stack Components
02:00 – Full Architecture Diagram
03:00 – Prometheus Server
04:00 – Grafana Explained
04:45 – Node Exporter & cAdvisor
05:20 – kube-state-metrics & Pushgateway
06:00 – Pull vs Push Model
07:00 – Kubernetes Metrics Flow
08:00 – Top DevOps/SRE Interview Questions
09:30 – Hands-On Demo Begins
10:00 – Minikube Setup
11:00 – kube-prometheus-stack Installation
13:00 – Sample App Deployment
15:00 – Ingress for App & Grafana
17:00 – Accessing Prometheus & Grafana
18:00 – Creating Dashboards
23:00 – Live Monitoring & Load Testing
26:00 – Built-In Dashboards
27:00 – Final Thoughts
28:00 – Outro
🧠 Who Should Watch This Episode?
✔ DevOps Engineers
✔ Kubernetes Learners
✔ SRE / Platform Engineers
✔ Cloud Engineers
✔ Students preparing for DevOps interviews
✔ Anyone wanting production-level Kubernetes knowledge
✔ Engineers learning Prometheus, Grafana, and Observability
🌐 Connect With Tech With Diwana
New episodes coming weekly. Day-13 will continue the journey into advanced Kubernetes topics.
Make sure to subscribe & share this series with your DevOps community.
#kubernetes #prometheus #grafana #devops #observability #cloudnative #k8s
#promql #sre #monitoring #infrastructure #minikube #kubernetesmonitoring
#techwithdiwana #devopstutorial #grafanadashboard #prometheustutorial
#kubeprometheusstack #cloudengineering #platformengineering #kubernetestutorial
#linux #containers #docker #microservices #metrics #alerting
Видео Kubernetes Monitoring in 29 Minutes — Prometheus + Grafana Complete Production Setup (Day 12 канала Tech With Diwana
kubernetes monitoring prometheus grafana tutorial prometheus kubernetes grafana kubernetes kube prometheus stack kubernetes observability promql tutorial devops monitoring kubernetes metrics monitoring k8s kubernetes zero to hero tech with diwana cloud native monitoring kube state metrics node exporter tutorial grafana dashboards prometheus architecture grafana prometheus setup kubernetes production monitoring metrics server kubernetes k8s monitoring
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6 декабря 2025 г. 19:00:11
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