Building Production ML Systems: MLOps Best Practices

Introduction

Machine learning in production is vastly different from notebooks …

Fine-tuning Large Language Models: Cost-Effective Training

Introduction

Fine-tuning large language models on custom data can be …

LLM Fine-tuning vs Prompt Engineering: Cost-Benefit Analysis

Introduction

When building production LLM applications, developers face a …

Vector Databases: Pinecone vs Milvus vs Weaviate

Introduction

Vector databases are the backbone of modern AI applications. They …

Building Web Services in Rust: Axum Complete Guide

Introduction

Rust is increasingly becoming the language of choice for building …

Rust Memory Safety: Ownership Deep Dive for C++ Developers

Introduction

Rust’s ownership system is what makes it possible to …

High-Performance Networking: Tokio Runtime Explained

Introduction

Tokio is Rust’s de facto standard async runtime, enabling …

Unsafe Rust: When & How to Use It Correctly

Introduction

Unsafe Rust allows you to disable certain safety checks when …

AWS Cost Optimization: Reserved Instances vs Savings Plans

Introduction

AWS cost optimization is one of the most underutilized ways to …

Serverless Cost Traps: Lambda, DynamoDB Bill Reduction

Introduction

Serverless is marketed as “pay-per-execution,” but many …

Container Cost Analysis: Docker, Kubernetes Economics

Introduction

Containerization (Docker) and orchestration (Kubernetes) are …

Spot Instances: Fault-Tolerant, 80% Cheaper Architecture

Introduction

Spot Instances are AWS’s ultra-discounted compute offering: …

Data Governance: Catalog, Lineage, and Access Control

Introduction

Data governance provides the framework for managing data assets …

Data Pipeline Orchestration: Airflow vs Prefect vs Dagster

Introduction

Data pipeline orchestration has become the backbone of modern data …

Data Quality: Validation, Monitoring, and Observability

Introduction

Data quality is the foundation of reliable analytics and machine …

ETL vs ELT: Modern Data Integration Patterns

Introduction

The debate between ETL (Extract, Transform, Load) and ELT (Extract, …

Cloud Security: AWS, Azure, and GCP Best Practices

Cloud Security: AWS, Azure, and GCP Best Practices

Cloud security requires …

Zero Trust Architecture: Implementation Guide

Zero Trust Architecture: Implementation Guide

Zero Trust replaces implicit trust …

API Security Beyond JWT: OAuth2, Rate Limiting, and Prevention

API Security Beyond JWT: OAuth2, Rate Limiting, and Prevention

JWT is only one …

Secrets Management and Rotation: Vault, AWS Secrets Manager, Azure Key Vault

Secrets Management and Rotation: Vault, AWS Secrets Manager, Azure Key Vault …

Cloud Architecture Patterns: Modern Design Principles for 2025

Introduction

Building effective cloud applications requires understanding proven …

Cloud Cost Optimization: Strategies for Reducing Cloud Spend in 2025

Introduction

Cloud spending continues to grow as organizations migrate more …

Multi-Cloud Strategy: AWS, Azure, and GCP in 2025

Introduction

In 2025, more organizations are adopting multi-cloud strategies to …