MirahLabs Engineering Blog
Technical insights, architectural deep-dives, and system designs authored by our product engineers and AI research leads.
Vector Databases Compared: Pinecone vs Weaviate vs pgvector
A detailed comparison of three leading vector database solutions—Pinecone, Weaviate, and pgvector—covering performance, scalability, cost, and best-fit use cases.
Cloud Cost Optimization: Cutting AWS Bills Without Sacrificing Performance
Cloud bills grow fast if unmanaged. Learn practical strategies to cut AWS costs by 40-60% using reserved instances, Spot fleets, rightsizing, S3 tiering, and transfer cost optimization.
Infrastructure as Code with Terraform: From Zero to Production
Terraform lets you define cloud infrastructure as declarative code, enabling repeatable, version-controlled deployments. This guide covers modules, state management, and workspace strategies.
Serverless Architecture with AWS Lambda: When to Use It and When to Avoid It
Serverless reduces operational overhead dramatically, but it's not suitable for every workload. Understand Lambda cold starts, concurrency limits, cost profiles, and ideal use cases.
Nginx as a Reverse Proxy for Flask: Configuration, SSL, and Performance
Nginx sits in front of your Flask app in production, handling SSL termination, static files, request buffering, and load balancing. Learn the optimal Nginx configuration for Flask deployments.
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.