MirahLabs Engineering Blog
Technical insights, tutorials, and architectures written by our design and backend engineers.
Scaling Python Flask Applications with PostgreSQL
Best practices for configuring database pools, write indexes, caching, and utilizing Docker deployment structures for Flask backends.
Load Testing Your API with Locust: From Basics to CI Integration
Load testing reveals performance bottlenecks before your users do. Learn how to write realistic Locust test scenarios, interpret results, and integrate load tests into your CI/CD pipeline.
Migrating from EC2 to ECS Fargate: A Step-by-Step Transition Guide
Moving workloads from raw virtual machines to serverless container orchestration reduces operational overhead. Learn how to containerize and deploy to ECS Fargate.
GitOps with ArgoCD: Declarative Kubernetes Deployments
GitOps treats Git as the single source of truth for infrastructure. Learn how ArgoCD continuously reconciles your Kubernetes cluster state with your Git repository.
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.
Multi-Region Deployment Strategies for High Availability
Running applications across multiple cloud regions protects against regional outages and reduces latency for global users. Learn active-active, active-passive, and data residency strategies.