ML

Insights

On engineering, technology, and building things that matter.

Software ArchitectureArchitecture Patterns

Software Architecture Patterns: A Practical Guide for Designing Scalable Systems

Learn key software architecture patterns—including layered, hexagonal, microservices, and event-driven—along with use cases, benefits, and trade-offs to guide modern system design.

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Software ArchitectureScalable Systems

Essential Software Architecture Principles for Scalable Systems

Discover foundational software architecture principles that enable scalability, maintainability, and system resilience. Learn how to apply proven patterns to real-world software systems.

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Infrastructure as CodeIaC

Infrastructure as Code (IaC): Tools, Patterns, and Principles

Some notes of Infrastructure as CodeLearn how Infrastructure as Code (IaC) helps automate cloud infrastructure using tools like Terraform, Docker, Kubernetes, Ansible, and Packer. Understand key categories, benefits, and real-world applications.

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engineering management

DevOps: A Practical Guide to Modern Software Delivery

Discover how DevOps transforms software delivery through automation, collaboration, and continuous improvement. Learn core practices, the CAMS model, real-world tools, and pitfalls to avoid.

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engineering management

Rethinking Delivery Performance: Lessons from DORA 2023 and Developer Experience

DORA 2023 isn’t just about speed—it’s about reliability, feedback loops, and developer experience. This post breaks down the five core DORA metrics, adds supporting DevEx indicators, and shows how to spot hidden friction in your CI/CD pipeline.

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software-engineering

Clean Code and Essential Software Design Principles

Learn what clean code means and how SOLID, DRY, KISS, and YAGNI principles can help you write maintainable, scalable, and efficient software.

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quality-assuranceTesting

Understanding Software Testing Types: From Unit to Chaos Monkey

Explore the different types of software testing—unit, integration, end-to-end, signature, and monkey testing. Learn their purposes, differences, and best practices in modern development environments.

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javascriptreactjs

Patterns, Pitfalls, and Performance: A React.js Engineer’s Advanced Guid

This blog post explores advanced React.js patterns, performance techniques, and architectural trade-offs tailored for senior engineers. Moving beyond common best practices, it uncovers often-missed nuances in context performance, useEffect misuse, hydration mismatches in SSR, and concurrency behaviors in React 18+.

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machine-learning

Scikit-learn Note

A note for scikit-learn

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machine-learning

Machine Learning Model evaluation

methods for Machine Learning Model evaluation

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machine-learning

Ensemble learning

Ensemble methods

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machine-learning

Dimensionality Reduction

Some techniques for Dimensionality Reduction

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machine-learning

Dealing with unbalanced dataset

Some methods to deal with unbalanced dataset

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machine-learning

Data preprocessing techniques

A note for data preprocessing

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machine-learning

Unsupervised learning - Clustering

A note for clustering

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machine-learning

How AI and Machine Learning Work (A Clear, Practical Guide)

An introduction to artificial intelligence and machine learning, explaining supervised, unsupervised, and reinforcement learning, cost functions, and the machine learning pipeline in a clear, structured way.

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software-architecturedata-engineering

Key Takeaways from Designing Data-Intensive Applications

This guide explores the architectural principles and design patterns behind data-intensive applications, covering core concerns like reliability, scalability, and maintainability. It compares OLTP and OLAP systems, dives into data encoding formats (e.g., JSON, Protobuf, Avro), communication protocols (REST, RPC, message brokers), and deployment strategies like rolling upgrades. Ideal for developers and system architects building scalable, resilient backend systems

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microservicearchitecture

Microservices Architecture: Advanced Patterns and Implementation - Part 2

Advanced microservices patterns: twelve-factor methodology, service discovery, migration strategies, reliability patterns & real-world implementation guide.

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microservicearchitecture

Microservices Architecture: A Comprehensive Guide - Part 1

Microservices fundamentals: domain-driven design, communication patterns, CQRS, deployment strategies & anti-patterns. Complete guide with examples

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authenticationsoftware-engineering

Understanding Web Authentication: Sessions vs Tokens, Cookies vs LocalStorage

This guide explores the differences between session-based and token-based authentication, including detailed comparisons of storage mechanisms like cookies and localStorage. It covers best practices for securing web authentication, explains JWT and refresh token usage, introduces two-factor authentication, and outlines how modern standards like OAuth 2.0 fit into stateless authentication models. Ideal for developers and architects building secure, scalable web applications.

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engineering management

Software Engineering Management 101: A Practical Overview Based on SWEBOK

Discover the key principles of Software Engineering Management as defined by SWEBOK, including initiation, planning, execution, measurement, and closure—augmented with real-world insights and modern practices.

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