Basically, it's a strategy behind building infrastructure that scales:
1. Containerization
↳ Package applications with all dependencies
↳ Ensure consistent behavior across environments
↳ Docker simplifies build, ship, and run workflows
↳ Enables microservices architecture
↳ Perfect for DevOps practices
2. Container Orchestration
↳ Kubernetes leads the way here
↳ Automates container deployment & scaling
↳ Handles load balancing
↳ Manages container health
↳ Enables zero-downtime deployments
↳ Supports multi-cloud deployments
3. Infrastructure as Code (IaC)
↳ Terraform for multi-cloud provisioning
↳ CloudFormation for AWS-specific workloads
↳ Ansible for configuration management
↳ Version control your infrastructure
↳ Test before deployment
↳ Implement infrastructure CI/CD
↳ Maintain consistent environments
4. GitOps Workflow (not in this sheet)
↳ Git as single source of truth
↳ Automated infrastructure updates
↳ Pull-based deployments
↳ Built-in audit trail
↳ Easy rollbacks when needed
↳ Improved security & compliance
Why this matters?
→ Improved availability and scalability
→ Consistent deployments
→ Optimized costs
→ Minimal human error
The key thing is, you treat infrastructure like code, and I mean literally -
Making it versionable, testable, and reusable!
This overview makes it clear why consistency matters so much in scaling systems. I’ve seen teams struggle when they skip orchestration or IaC, and rollbacks become painful. Curious to know—have you seen GitOps fully replace traditional Infrastructure as code workflows, or does it usually work best as an extension?
ReplyDelete