MirahLabs Engineering Blog
Technical insights, architectural deep-dives, and system designs authored by our product engineers and AI research leads.
MLOps: Building Reproducible ML Pipelines with MLflow and DVC
Machine learning without MLOps produces science experiments, not production systems. Learn how MLflow tracks experiments and DVC versions datasets to build reproducible, deployable ML pipelines.
Automated Database Migrations in CI/CD Pipelines
Running schema migrations reliably in automated pipelines requires careful ordering and rollback strategies. This guide covers Alembic, Flyway, and migration safety patterns.
Multi-Cloud Kubernetes with Anthos and Azure Arc: Hybrid Cloud Blueprint
Managing Kubernetes clusters across AWS, GCP, and on-premise is challenging. Learn how Google Anthos and Azure Arc unify operations, policy management, and application delivery.
Secrets Management in CI/CD: HashiCorp Vault and GitHub Actions
Hardcoded secrets in code or CI logs are a leading cause of security breaches. Learn how to use HashiCorp Vault and GitHub's secrets engine to manage credentials securely.
Building a Zero-Downtime CI/CD Pipeline with GitHub Actions and Docker
Step-by-step guide to setting up a production CI/CD pipeline using GitHub Actions, Docker multi-stage builds, and blue-green deployment for zero-downtime releases.
Deploying Flask on AWS ECS Fargate: A Production Blueprint
AWS ECS Fargate runs containers without managing servers. This complete blueprint covers building the image, pushing to ECR, configuring ECS services with ALB, and automating deployments with GitHub Actions.