Terraform & Ansible Best Practices
· One min read
🚧 WIP
Data-Driven GitOps Platform
· 9 min read
Welcome to our Data & AI/ML GitOps Platform with Hybrid-Multi-Cloud approach:
- Dev (k3d): Local ephemeral clusters with k3d for rapid iteration and prototyping.
- Staging (k3s): A pinned k3s environment providing a realistic test bed for integrated data workflows.
- Production (AWS): A fully provisioned AWS environment (e.g., Amazon EKS) for large-scale data ingestion, training pipelines, and real-time inference.
DevOps Docker & DevContainer
· 4 min read
Overview
The nnthanh101/terraform:latest Docker image is a secure, lightweight, and production-ready environment tailored for modern CloudOps and DevOps workflows. Built on Chainguard's Wolfi Linux, this image incorporates best practices for multi-cloud, Infrastructure-as-Code (IaC), and Kubernetes ecosystem management.
Designed to meet the demands of multi-cloud environments and enterprise-grade automation, it includes tools for provisioning, configuration management, orchestration, and secrets management. The devops tag extends its functionality with Kubernetes tooling, making it ideal for hybrid-cloud operations.
CloudOps Docker Container
· 4 min read
Overview
The nnthanh101/runbooks:latest image is a secure, lightweight, and production-grade Python environment built on Chainguard's Wolfi Base. This image has been optimized to support multi-cloud environments (AWS, Azure) and cross-platform workflows for CloudOps, FinOps, Analytics, AI, and Data Science projects.
With a focus on modern CloudOps and DevOps practices, this image incorporates security, maintainability, and scalability into its design. It integrates essential extensions like MkDocs, JupyterLab, and Vizro for documentation and analytics workflows.