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From the Field

Insights

Practical perspectives on enterprise software development, infrastructure automation, and cloud engineering from our project experience.

GitHub Actions vs Jenkins: Migrating Your CI/CD Pipeline
DevOps

GitHub Actions vs Jenkins: Migrating Your CI/CD Pipeline

Jenkins is infinitely customizable but operationally expensive. GitHub Actions is simpler but less flexible. Here's how to evaluate the migration.

8 min read
Aurora vs RDS: Is Amazon Aurora Worth the Premium?
Cloud

Aurora vs RDS: Is Amazon Aurora Worth the Premium?

Aurora promises 5x MySQL performance and automatic scaling storage. RDS costs less and is simpler. Here's when the Aurora premium is actually justified.

8 min read
DynamoDB vs MongoDB: Choosing the Right NoSQL Database
Databases

DynamoDB vs MongoDB: Choosing the Right NoSQL Database

DynamoDB is fully managed with predictable scaling. MongoDB gives you a flexible query language and runs anywhere. Here's how to decide.

9 min read
MLOps Without a Data Science Team
AI

MLOps Without a Data Science Team

You don't need a research team to run AI and ML reliably in production. The practical operational discipline that keeps models working—deployment, evaluation, monitoring, and cost control—explained for engineering teams.

9 min read
Traefik vs Nginx: Reverse Proxies for Kubernetes and Docker
Infrastructure

Traefik vs Nginx: Reverse Proxies for Kubernetes and Docker

Traefik auto-discovers services and handles certificates. Nginx gives you raw performance and total control. Here's how to choose your reverse proxy.

8 min read
Nginx vs Caddy: A Modern Web Server Comparison
Infrastructure

Nginx vs Caddy: A Modern Web Server Comparison

Caddy handles HTTPS automatically and has a cleaner config format. Nginx has decades of battle-testing and ecosystem. Here's how to choose.

7 min read
gRPC vs REST: When to Use Each Protocol
Architecture

gRPC vs REST: When to Use Each Protocol

REST is the default for web APIs. gRPC is faster for service-to-service communication. Here's when each protocol makes sense and the real trade-offs.

8 min read
Why Most Corporate AI Projects Fail
AI

Why Most Corporate AI Projects Fail

The majority of enterprise AI initiatives never deliver real value—and the reasons are rarely technical. The patterns behind failed AI projects, and what the ones that succeed do differently.

9 min read
Containers vs Serverless: When to Use Each
Architecture

Containers vs Serverless: When to Use Each

Containers give you control and portability. Serverless removes infrastructure management but adds constraints. Here's how to decide for your workload.

8 min read

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