Data Science

Data analysis, visualization, and data engineering

Data Science 14 min read

Mastering CI/CD Pipelines with Jenkins and Docker: A Deep Dive into Automated Deployment and Testing

Learn how to implement a CI/CD pipeline using Jenkins and Docker to improve deployment time and reduce human error. Follow best practices and avoid common mistakes to get the most out of your pipeline.

Mar 31, 2026

Data Science 27 min read

Quick Wins for Improving Application Security: Battle-Tested Strategies from the Trenches

Real security improvements that take hours, not months. Learn the high-impact fixes we implemented after our security audit revealed critical gaps—complete with code, metrics, and lessons learned the hard way.

May 26, 2026

Data Science 23 min read

Introduction to GraphQL: Benefits and Use Cases from Building Production APIs

Learn how GraphQL solves real API problems through production experience. Discover when to use it, performance patterns, and migration strategies from REST with actual benchmarks.

Apr 23, 2026

Data Science 37 min read

Advanced Tutorial: Implementing Real-Time Updates with WebSockets

Learn how we scaled WebSocket connections to 500K concurrent users while reducing server costs by 40%. Real production patterns, load testing results, and the gotchas nobody talks about.

Apr 18, 2026

Data Science 9 min read

Code Quality Metrics That Matter: Complexity and Churn (Flask Case Study)

Run complexity and churn analysis with radon, lizard and git on Flask, find real hotspots, and decide which code quality checks belong in CI.

May 01, 2026

Data Science 32 min read

Deep Dive into Next.js: Server-Side Rendering and Static Site Generation

Next.js is a powerful framework for building server-side rendered, statically generated, and performance-optimized web applications. Learn how to use Next.js to build fast, scalable, and maintainable applications that provide a great user experience.

Mar 14, 2026

Data Science 20 min read

Mastering Automated Deployment with Docker and Kubernetes: A Deep Dive

Automated deployment using Docker and Kubernetes is a powerful way to deploy and manage applications. In this article, we'll explore the world of automated deployment and create a CI/CD pipeline using Jenkins.

Mar 18, 2026

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Bekzod Erkinov

7 articles

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#web development 2 #Jenkins 2 #Docker 2 #code churn 1 #Backend Development 1 #DevOps 1 #performance optimization 1 #GraphQL 1 #CI/CD 1 #best practices 1

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Data Science

Mastering CI/CD Pipelines with Jenkins and Docker: A Deep Dive into Automated Deployment and Testing

Quick Wins for Improving Application Security: Battle-Tested Strategies from the Trenches

Introduction to GraphQL: Benefits and Use Cases from Building Production APIs

Advanced Tutorial: Implementing Real-Time Updates with WebSockets

Code Quality Metrics That Matter: Complexity and Churn (Flask Case Study)

Deep Dive into Next.js: Server-Side Rendering and Static Site Generation

Mastering Automated Deployment with Docker and Kubernetes: A Deep Dive

Top authors in Data Science

Popular tags in Data Science

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