Full Multi-Cloud CI/CD Pipeline with Kubernetes Auto-Scaling, Security Monitoring & GitHub Actions 🚀

Keda for Auto-Scaling | Falco for Security | GitHub Actions for DevOps Automation

We’re now making our multi-cloud DevOps pipeline even more powerful by adding:
✅ Keda for auto-scaling Kubernetes workloads based on real-time metrics 📈
✅ Falco for Kubernetes security monitoring to detect & prevent threats 🔒
✅ GitHub Actions to automate CI/CD workflows for Kubernetes deployments ⚡

Let’s build a scalable, secure, and fully automated cloud infrastructure! 🚀

🔹 Step 1: Add Keda for Auto-Scaling Kubernetes Workloads 📈

Keda (Kubernetes Event-Driven Autoscaling) extends Kubernetes’ Horizontal Pod Autoscaler (HPA) to scale workloads based on real-time events (e.g., Kafka messages, Prometheus metrics, HTTP requests, CPU, and memory).

1.1 Install Keda on Your Kubernetes Cluster

Run the following command to install Keda using Helm:

helm repo add kedacore https://kedacore.github.io/charts
helm repo update
helm install keda kedacore/keda --namespace keda --create-namespace

1.2 Deploy a ScaledObject for Auto-Scaling Based on CPU Usage