Hey everyone! 🚀 A massive deep-dive is coming this week... and I genuinely can't wait to share it with you.
I have been working behind the scenes on one of the most comprehensive Platform Engineering and GitOps tutorials I have ever put together. If you've ever wanted to see exactly how modern engineering teams architect, secure, and operate production-grade Kubernetes platforms from the ground up, this is it.
🔥 Here is what we are building: ✅Production-Grade Infrastructure (Terraform): Provision a complete Azure platform featuring AKS, ACR, and Key Vault using real-world IaC practices.
✅Polyglot Microservices: Deploy an enterprise-structured application spanning Node.js, Python, Go, and Java.
✅Secure CI/CD Pipelines (GitLab): Implement automated testing and shift-left vulnerability scanning to guarantee compromised images never reach your registry.
✅Zero-Trust Secret Management: Eliminate hardcoded credentials entirely using the External Secrets Operator, Azure Key Vault, and Workload Identity.
✅Enterprise GitOps (Argo CD): Move beyond simple push deployments. Master the App-of-Apps pattern, self-healing infrastructure, and multi-environment management (Dev, UAT, Prod) from a single Git repository.
✅Automated Release Promotions (Kargo): Engineer progressive delivery pipelines with automated Dev → UAT rollouts and strict manual approval gates for Production.
✅Day-One Observability (Prometheus): Integrate metrics and alerting to monitor your platform from the exact second it goes live.
Most importantly, we are going to cover the why behind every architectural decision, not just the how. This isn't another basic "hello world" deployment—it is an end-to-end Platform Engineering masterclass connecting Terraform, GitLab CI, Azure, Argo CD, ESO, and Kargo into one seamless workflow.
🎥 Dropping later this week!
Thank you all for the incredible support - it is what drives me to keep building these deep, practical workflows for the community.
💬 While you wait, let me know in the comments: Which piece of this stack are you most excited to dig into? 👇
I am currently creating a deep-dive OpenShift learning series that takes you from understanding the platform fundamentals to confidently operating production-grade clusters like a Platform Engineer, SRE, or DevOps Engineer.
🔥 What we'll cover: ✅ OpenShift Architecture & Core Concepts ✅ Installing and Managing Clusters ✅ Storage, PVCs & Persistent Data ✅ Health Checks, Self-Healing & Autoscaling ✅ Networking, Routes & Traffic Management ✅ Security, RBAC, SCCs & Secrets ✅ Operators and the OpenShift Ecosystem ✅ Troubleshooting Real-World Issues ✅ Production Best Practices & Design Patterns
💻 Every module will include:
* Hands-on labs * Real YAML manifests * Live demonstrations * Troubleshooting scenarios * Single Node OpenShift (SNO) lab environment * Production-focused explanations, not just theory
The goal is simple: help you understand how OpenShift actually works under the hood and give you skills you can apply directly in real enterprise environments.
👇 I want this series to solve real problems.
What OpenShift topic do you struggle with the most? Networking? Storage? Security? Operators? GitOps? CI/CD? Upgrades? Troubleshooting?
Drop your biggest OpenShift challenge in the comments, and I’ll include it in the series.
MkbnTech
Hey everyone! 🚀 A massive deep-dive is coming this week... and I genuinely can't wait to share it with you.
I have been working behind the scenes on one of the most comprehensive Platform Engineering and GitOps tutorials I have ever put together. If you've ever wanted to see exactly how modern engineering teams architect, secure, and operate production-grade Kubernetes platforms from the ground up, this is it.
🔥 Here is what we are building:
✅Production-Grade Infrastructure (Terraform): Provision a complete Azure platform featuring AKS, ACR, and Key Vault using real-world IaC practices.
✅Polyglot Microservices: Deploy an enterprise-structured application spanning Node.js, Python, Go, and Java.
✅Secure CI/CD Pipelines (GitLab): Implement automated testing and shift-left vulnerability scanning to guarantee compromised images never reach your registry.
✅Zero-Trust Secret Management: Eliminate hardcoded credentials entirely using the External Secrets Operator, Azure Key Vault, and Workload Identity.
✅Enterprise GitOps (Argo CD): Move beyond simple push deployments. Master the App-of-Apps pattern, self-healing infrastructure, and multi-environment management (Dev, UAT, Prod) from a single Git repository.
✅Automated Release Promotions (Kargo): Engineer progressive delivery pipelines with automated Dev → UAT rollouts and strict manual approval gates for Production.
✅Day-One Observability (Prometheus): Integrate metrics and alerting to monitor your platform from the exact second it goes live.
Most importantly, we are going to cover the why behind every architectural decision, not just the how. This isn't another basic "hello world" deployment—it is an end-to-end Platform Engineering masterclass connecting Terraform, GitLab CI, Azure, Argo CD, ESO, and Kargo into one seamless workflow.
🎥 Dropping later this week!
Thank you all for the incredible support - it is what drives me to keep building these deep, practical workflows for the community.
💬 While you wait, let me know in the comments: Which piece of this stack are you most excited to dig into? 👇
2 weeks ago (edited) | [YT] | 6
View 0 replies
MkbnTech
I am currently creating a deep-dive OpenShift learning series that takes you from understanding the platform fundamentals to confidently operating production-grade clusters like a Platform Engineer, SRE, or DevOps Engineer.
🔥 What we'll cover:
✅ OpenShift Architecture & Core Concepts
✅ Installing and Managing Clusters
✅ Storage, PVCs & Persistent Data
✅ Health Checks, Self-Healing & Autoscaling
✅ Networking, Routes & Traffic Management
✅ Security, RBAC, SCCs & Secrets
✅ Operators and the OpenShift Ecosystem
✅ Troubleshooting Real-World Issues
✅ Production Best Practices & Design Patterns
💻 Every module will include:
* Hands-on labs
* Real YAML manifests
* Live demonstrations
* Troubleshooting scenarios
* Single Node OpenShift (SNO) lab environment
* Production-focused explanations, not just theory
The goal is simple: help you understand how OpenShift actually works under the hood and give you skills you can apply directly in real enterprise environments.
👇 I want this series to solve real problems.
What OpenShift topic do you struggle with the most?
Networking? Storage? Security? Operators? GitOps? CI/CD? Upgrades? Troubleshooting?
Drop your biggest OpenShift challenge in the comments, and I’ll include it in the series.
2 months ago | [YT] | 5
View 5 replies