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Architecture9 min readMay 2026

How Netflix Handles 200 Million Streams a Day

A deep dive into the architecture behind Netflix's global streaming platform — from Open Connect CDN edge nodes to adaptive bitrate encoding and chaos engineering at scale.

AWSCDNMicroservicesResilience
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Containers7 min readMay 2026

Docker vs Kubernetes: When to Use Each

Docker packages your app. Kubernetes orchestrates thousands of them. Most engineers confuse when one ends and the other begins. Here's the definitive breakdown.

DockerKubernetesDevOpsContainers
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Multi-Cloud11 min readApr 2026

AWS vs Azure vs GCP: The Honest Comparison in 2026

Not a marketing page. An engineer's breakdown of where each cloud wins, where it loses, and how to pick based on your team's use-case — not job postings.

AWSAzureGCPCloud Strategy
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Architecture
8 min read · Apr 2026

The 12-Factor App — Why It Still Matters in 2026

Written in 2011, still quoted in every senior engineering interview. Here's what each factor actually means and how to apply it to a real-world Kubernetes deployment.

ArchitectureCloud NativeBest Practices
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Career
12 min read · Mar 2026

How to Pass the AWS Solutions Architect Exam in 8 Weeks

A week-by-week study plan built from 350+ mentoring sessions. Covers which domains actually appear, what to skip, and the exact question patterns that trip candidates.

AWSCertificationCareer
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DevOps
6 min read · Mar 2026

Git Workflows That Actually Work at Scale

GitFlow vs trunk-based development vs GitHub Flow. Real teams have tried all three. Here's which one scales, which one slows you down, and the branching strategy Netflix uses.

GitDevOpsCI/CD
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Security
10 min read · Feb 2026

Zero Trust Networking — From Concept to Implementation

"Never trust, always verify" sounds simple until you have to implement it across 12 microservices, 3 clouds, and a hybrid on-prem setup. Here's where to actually start.

SecurityNetworkingIAM
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AI Engineering
8 min read · Feb 2026

RAG Architecture Explained for Backend Engineers

Retrieval-Augmented Generation is the fastest-growing pattern in AI engineering. If you already understand APIs and vector databases, you're 80% of the way there.

AIRAGLLMs
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