🚀 Building a Scalable Platform Engineering Environment on Kubernetes

In today’s cloud-native ecosystem, Kubernetes has become the go-to standard for scalable, reliable, and secure platform engineering environments. In this article, I’ve shared a concise yet in-depth technical guide for platform engineers looking to build production-grade platforms using Kubernetes.

🔍 Highlights from the article:

✅ Kubernetes Fundamentals: Covers essential building blocks like Pods, Deployments, and Services — the backbone of modern workloads.

🌐 Networking Architecture: Breaks down service discovery, Ingress Controllers, and network plugins to enable robust communication patterns.

💾 Storage Models: Explains Persistent Volumes, Persistent Volume Claims, and dynamic provisioning via Storage Classes.

🔐 Security Best Practices: Focuses on RBAC, Network Policies, and securing the Kubernetes API server for a hardened cluster.

📈 Observability Stack: Recommends using Prometheus, Fluentd, and Elasticsearch for real-time monitoring and unified logging.

⚙️ DevOps & CI/CD Integration: Emphasizes automated pipelines and secure secret management to maintain speed without sacrificing control.

This article is designed to help fellow platform engineers build environments that are scalable, resilient, and secure by design.

📖 Read the full article here:

👉 Building a Scalable Platform Engineering Environment on Kubernetes

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