Open Source Infrastructure Examples: Production-Ready Code You Can Use Today

Why We're Doing This
What's Inside
How to Use These Examples
Featured Example: Kubernetes Monitoring
Getting Started
Contributing

Why We're Doing This

After years of deploying infrastructure for Fortune 500 companies and innovative startups, we've built a library of battle-tested code that solves common—and not-so-common—infrastructure challenges.

Every week, we see teams reinventing the wheel: writing the same Terraform modules, configuring the same Kubernetes setups, debugging the same CI/CD issues. Teams spend months building infrastructure before they can focus on their actual product.

This doesn't make sense.

The infrastructure layer has matured. Best practices exist. Patterns have emerged. Yet every team still builds from scratch.

Today, that changes.

We're open-sourcing our production infrastructure code. Everything we've learned deploying systems that handle millions of requests, managing clusters across multiple regions, and building zero-trust architectures—it's all available for free.

What's Inside

The Tech Blend Examples repository contains production-ready code across six major categories:

Architecture Designs

Complete reference architectures with diagrams, documentation, and implementation guides:

AWS Production Infrastructure - Multi-region VPC setup with EKS, RDS, monitoring, and disaster recovery
Kubernetes Multi-Region - HA clusters with traffic management and automated failover
Zero Trust Service Mesh - Istio configuration with mTLS, authorization policies, and traffic control
Secrets Management with Vault - HashiCorp Vault cluster integrated with Kubernetes

Each architecture includes:

Visual diagrams showing component relationships
Complete infrastructure-as-code
Security hardening configurations
Monitoring and observability setup
Disaster recovery procedures

Terraform Modules

Reusable infrastructure components for AWS, GCP, and Azure:

VPC Setup - Network architecture with public/private subnets, NAT gateways, VPN
EKS Clusters - Production-grade Kubernetes with autoscaling, logging, monitoring
RDS Databases - PostgreSQL/MySQL with automated backups, read replicas, failover
Observability Stack - Prometheus, Grafana, Loki deployment via Terraform
Security Baselines - WAF, security groups, IAM policies, encryption configs

Each module is:

Tested in production environments
Parameterized for different use cases
Documented with examples
Following HashiCorp best practices

Kubernetes Configurations

Production-grade Kubernetes manifests and Helm charts:

Monitoring Stack - Prometheus, Grafana, AlertManager, Node Exporter
Security Policies - Network policies, pod security policies, RBAC configurations
GitOps Workflows - ArgoCD and Flux configurations for continuous deployment
Service Mesh - Istio setup with traffic management and security policies
Ingress Controllers - NGINX, Traefik, and Gateway API configurations

CI/CD Pipelines

Template pipelines for GitHub Actions, GitLab CI, and Jenkins:

Container Workflows - Build, scan, push to registry, deploy to Kubernetes
Security Scanning - Trivy, Checkov, SAST/DAST integration
GitOps Integration - Automated deployment via ArgoCD/Flux
Multi-Environment - Dev, staging, production pipeline patterns
Rollback Automation - Automatic rollback on deployment failures

Security Configurations

Compliance and hardening configurations:

CIS Benchmarks - Kubernetes and cloud provider compliance configs
Network Policies - Zero-trust network segmentation
Vault Configurations - Dynamic secrets, auto-rotation, audit logging
Falco Rules - Runtime security and intrusion detection

Project Templates

Full-stack application templates ready to deploy:

Next.js on AWS - Complete setup with CDN, API Gateway, Lambda
Microservices on Kubernetes - Service mesh, observability, CI/CD
API Gateway - Kong or AWS API Gateway with authentication, rate limiting

How to Use These Examples

Every example follows the same structure for consistency:

1. Clear Documentation

Each example includes:

Overview - What problem it solves and why
Architecture - Visual diagrams and component descriptions
Prerequisites - Everything you need before starting
Quick Start - Step-by-step implementation guide
Configuration - All customization options explained
Production Considerations - Security, HA, scalability, cost
Troubleshooting - Common issues and solutions

2. Production-Ready Code

All code is:

Tested in real production environments
Following industry best practices
Parameterized for different use cases
Documented with inline comments
Free of hardcoded secrets or credentials

3. Multiple Deployment Options

Most examples support:

Quick deployment - Get running in minutes for testing
Production deployment - HA, security, monitoring included
Custom deployment - Modify for your specific needs

Featured Example: Kubernetes Monitoring

Let's walk through one of our most popular examples: the complete Kubernetes monitoring stack.

The Problem

You deploy applications to Kubernetes. Everything works fine until it doesn't. When issues happen, you need answers fast:

Which pod is consuming excessive CPU?
Why did this service start failing 20 minutes ago?
What's causing these intermittent timeouts?
Is the cluster running out of resources?

Without proper monitoring, you're debugging blind.

The Solution

Our Kubernetes monitoring example deploys a complete observability stack:

Prometheus - Metrics collection from every component Grafana - Pre-configured dashboards for instant visibility Loki - Log aggregation from all pods AlertManager - Intelligent alerting with routing rules Node Exporter - Host-level metrics kube-state-metrics - Kubernetes object metrics

What You Get

Deploy this example and immediately see:

Cluster Overview Dashboard showing:

Total CPU and memory usage
Pod status across all namespaces
Network traffic patterns
Storage utilization

Node Metrics Dashboard showing:

Per-node CPU, memory, disk, network
Resource pressure indicators
System load and processes

Pod Metrics Dashboard showing:

Resource consumption by pod
Restart counts and reasons
Network errors and latency

Pre-configured Alerts for:

Node down or unreachable
High CPU or memory usage
Pod crash loops
Disk space running low
API server issues

Implementation Time

Basic setup: 10 minutes
Production deployment with HA: 30 minutes
Custom dashboards and alerts: Additional time as needed

Cost

Using our recommended configuration:

Storage: ~$10-20/month (depending on retention)
Compute: Minimal overhead (included in cluster cost)

Compare this to managed monitoring services at $100-500+/month.

Getting Started

1. Clone the Repository

git clone https://github.com/dw-develop/tech-blend-examples.git
cd tech-blend-examples

2. Browse Examples

Navigate to the category that interests you:

# Kubernetes monitoring
cd kubernetes/monitoring

# AWS Terraform modules
cd terraform/aws

# CI/CD pipelines
cd ci-cd/github-actions

3. Read the README

Each example has comprehensive documentation:

cat README.md

4. Deploy

Follow the Quick Start section in each README. Most examples deploy in under 30 minutes.

5. Customize

All examples are designed to be modified for your specific needs. Configuration options are clearly documented.

Real-World Usage

These aren't theoretical examples. This is production code used by:

Fortune 500 Companies - Handling millions of requests per day Financial Services - Meeting strict compliance requirements Healthcare Organizations - HIPAA-compliant infrastructure SaaS Startups - Scaling from zero to thousands of customers

The monitoring stack alone runs in over 50 production Kubernetes clusters we've deployed.

Production Considerations Built In

Every example includes production-ready features:

Security

No hardcoded secrets or credentials
Encryption in transit and at rest
Network policies and firewall rules
IAM least-privilege access
Security scanning integration

High Availability

Multi-region deployment patterns
Automated failover configurations
Load balancing and health checks
Redundancy at every layer

Observability

Metrics collection from all components
Centralized logging
Distributed tracing setup
Pre-configured dashboards and alerts

Cost Optimization

Right-sized resource allocations
Autoscaling configurations
Storage lifecycle policies
Cost monitoring and budgets

Disaster Recovery

Automated backup configurations
Point-in-time recovery procedures
Multi-region failover
Recovery time objectives (RTO) documented

Contributing

This repository is open source under the MIT License. We welcome contributions:

Bug Reports - Found an issue? Let us know Improvements - Have a better approach? Submit a PR New Examples - Built something useful? Share it Documentation - Help make examples clearer

See our Contributing Guide for details.

Common Questions

Is this really free to use?

Yes. MIT License means you can use these examples commercially, modify them, and distribute them. No attribution required (though appreciated).

Will these examples work in my environment?

Examples are designed to be adaptable. You may need to adjust for:

Your specific cloud provider accounts
Existing infrastructure
Compliance requirements
Organizational policies

Each README includes customization guidance.

How do I stay updated?

Watch the repository on GitHub for notifications
Join our Discord for announcements and discussions
Follow our blog for deep-dives on specific examples

Can I request new examples?

Absolutely. Open an issue describing what you need. We prioritize based on community interest.

What if I need help implementing these?

We offer implementation services (see below). But first, try:

Reading the README thoroughly
Joining our Discord community
Opening a GitHub issue with your question

What's Next

We're adding new examples weekly. Upcoming additions:

AWS ECS Fargate Setup - Serverless container deployment
Kubernetes Autoscaling - HPA, VPA, cluster autoscaler configurations
Terraform Cloud Integration - Remote state, policy as code
Observability Advanced - OpenTelemetry, distributed tracing
Multi-Cloud Architectures - AWS + GCP hybrid deployments

Join the Community

GitHub: Star the repository to stay updated

Discord: Join Tech Blend Community to discuss examples, get help, and share your implementations

LinkedIn: Follow Tech Blend Consulting for updates and insights

Work With Us

While these examples are free to use, implementing production infrastructure still requires expertise, planning, and time.

Tech Blend Consulting offers:

Architecture Review - 2-hour deep-dive analyzing your current infrastructure and providing specific recommendations. We'll identify security gaps, cost optimization opportunities, and scalability improvements. $997

Custom Implementation - We deploy and configure infrastructure specifically for your environment. This includes adapting our examples to your requirements, integrating with existing systems, and ensuring everything meets your compliance needs. $5,000-$15,000

Team Training - Hands-on workshops teaching your team infrastructure-as-code, Kubernetes, GitOps, or security best practices. Training is based on these examples but customized for your stack and use cases. $2,000/day

Ongoing Support - Retainer-based consulting for continuous infrastructure improvements, incident response, and strategic guidance. $10,000+/month

If you need help implementing any of these examples in production, or want custom infrastructure designed for your specific needs, let's talk.

Schedule a free 30-minute consultation: 📅 Book a Call

📧 Email: sales@techblendconsult.io

The Mission

Infrastructure should enable innovation, not block it.

By open-sourcing production-ready examples, we're helping teams:

Ship products faster
Avoid common mistakes
Learn industry best practices
Reduce infrastructure costs
Improve security posture

Every example we share is code that doesn't need to be rewritten. Time saved on infrastructure is time spent building products that matter.

Explore the examples, use what helps, and let us know what you build.

Repository: github.com/dw-develop/tech-blend-examples

License: MIT (free for commercial use)

Community: Discord