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Mastering Horizontal Pod Autoscaling (HPA) in Amazon EKS Using Helm, Terraform, and ArgoCD: A Complete Guide with CI/CD
In the ever-evolving cloud-native landscape, ensuring application scalability while minimizing infrastructure costs is critical. Horizontal Pod Autoscaling (HPA) in Kubernetes dynamically adjusts the number of pod replicas based on real-time resource utilization, such as CPU, memory, or custom metrics.
By combining tools like Helm for Kubernetes resource management, Terraform for infrastructure provisioning, and ArgoCD for continuous delivery with GitOps, you can automate HPA implementation in Amazon EKS (Elastic Kubernetes Service) to achieve a scalable, reliable, and automated CI/CD pipeline.
This guide offers a step-by-step approach to:
- Automate and manage HPA using Helm, Terraform, and ArgoCD.
- Establish a robust project structure for scaling and automation.
- Set up a complete CI/CD pipeline using GitHub Actions and GitOps principles.
- Adopt best practices for building scalable Kubernetes deployments.
Why Use Helm, Terraform, and ArgoCD for HPA in Amazon EKS?
Each tool has a distinct role in creating a robust and automated HPA setup.
1. Helm
- Purpose: Simplifies Kubernetes resource deployment through templating.
- Use Case: Enables reusable and parameterized deployments, including HPA definitions.
Documentation: Helm Official Documentation
2. Terraform
- Purpose: Manages cloud resources declaratively using Infrastructure as Code (IaC).
- Use Case: Provisions Amazon EKS, networking components, and deploys Helm charts.
Documentation: Terraform Official Documentation
3. ArgoCD
- Purpose: Implements GitOps for continuous delivery and synchronization.
- Use Case: Keeps Kubernetes resources, including HPA configurations, in sync with a Git repository.
