MirahLabs Publications

MirahLabs Engineering Blog

Technical insights, architectural deep-dives, and system designs authored by our product engineers and AI research leads.

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💻 DevOps & SRE
DevOps & SRE May 03, 2026

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.

⏱️ 10 min read Read Article
💻 DevOps & SRE
DevOps & SRE May 02, 2026

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.

⏱️ 10 min read Read Article
💻 Artificial Intelligence
Artificial Intelligence May 01, 2026

Recommender Systems: Collaborative Filtering to Deep Learning Architectures

Explore the evolution of recommender systems, from simple matrix factorization algorithms to deep neural networks like Wide & Deep and Two-Tower architectures.

⏱️ 9 min read Read Article
💻 Cloud Computing
Cloud Computing Apr 29, 2026

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.

⏱️ 9 min read Read Article
💻 Trade Finance Technology
Trade Finance Technology Apr 29, 2026

Event-Driven Trade Finance Pipelines: Designing Auditable Kafka Streams

Kafka enables high-throughput event streaming for decoupled microservices. Learn producer/consumer patterns, consumer groups, schema evolution, and how to avoid the most common EDA mistakes.

⏱️ 10 min read Read Article
💻 Artificial Intelligence
Artificial Intelligence Apr 28, 2026

Computer Vision with YOLO and PyTorch: From Training to Edge Deployment

Object detection with YOLO achieves real-time performance even on edge devices. Learn how to train custom YOLO models with PyTorch and deploy them to edge hardware using TensorRT and ONNX.

⏱️ 10 min read Read Article