AI
How to Review AI-Written Code Like a Senior Engineer
A practical guide based on real-world experience AI writing code fast isn’t surprising anymore. That part of the conversation is mostly over. What still…
// author
Nilesh Raut
’m Nilesh, a Software Development Engineer with 2+ years of experience, specializing in Go, JavaScript, Python, Docker, Kubernetes, Git, Jenkins, microservices, and system design (LLD/HLD), backed by a strong foundation in data structures and algorithms. Alongside my engineering journey, I bring 4+ years of hands-on experience in SEO, where I’ve worked extensively on content strategy, keyword research, technical SEO, and organic growth, helping products and businesses scale efficiently by aligning solid technology with search-driven performance.
380 articles
JavaScript
238 : Product of Array Except Self
Problem Restated (Very Simply) You are given an array: For each index, you need to calculate: Product of all elements except the one at…
Backend Dev
Why Debugging Skills Matter More Than Writing New Code
Writing new code feels like progress.Debugging feels like damage control. But after enough time in production systems, you learn the uncomfortable truth: the engineers…
Backend Dev
Bloom Filter in Express.js (With Real Example and Dry Run Explained)
🧠 What is a Bloom Filter? A Bloom Filter is a probabilistic data structure used to test whether an element might be present in…
Backend Dev
Designing a Scalable URL Shortener: Snowflake IDs, Base62 Encoding, and Microservices
URL shorteners like Bit.ly or TinyURL are deceptively simple: take a long URL, generate a short one, and redirect. But when you want to…
Backend Dev
Designing a High-Concurrency Flash Sale Stock & Inventory Reservation System with Node.js, Redis, Lua, and MongoDB
Designing a High-Concurrency Flash Sale Stock & Inventory Reservation System with Node.js, Redis, Lua, and MongoDB
leet code
🛒 Deploying Your Complex E-Commerce App or Any Web app
or Any App Imagine you’re building an online mega-store 🏬, and each department (like “login”, “products”, “orders”) is a separate room (microservice). You want…
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30 Days kubernetes
Day 30:Kubernetes- Recap and Next Steps
Wrapping Up Your 30-Day Kubernetes Journey Congratulations on completing the 30-day Kubernetes learning plan! Over the past month, you have gained a comprehensive understanding…
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30 Days kubernetes
Day 29: Kubernetes – Exploring the Kubernetes Ecosystem
Introduction to the Kubernetes Ecosystem Kubernetes (K8s) has grown far beyond being just a container orchestration tool. Its rich ecosystem, backed by the Cloud…
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30 Days kubernetes
Day 28: Kubernetes – Cost Optimization in Kubernetes
Introduction to Cost Optimization in Kubernetes Managing costs effectively is crucial when operating Kubernetes clusters at scale. Kubernetes offers numerous tools and strategies to…
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30 Days kubernetes
Day 27: Kubernetes – Kubernetes for Machine Learning Workloads
Introduction to Kubernetes for Machine Learning Kubernetes has become a key enabler for running machine learning (ML) workloads in a scalable and efficient manner.…
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30 Days kubernetes
Day 26: Kubernetes – GitOps with Kubernetes
Introduction to GitOps Principles GitOps is a paradigm for continuous deployment that uses Git as the single source of truth for declarative infrastructure and…
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30 Days kubernetes
Day 25: Kubernetes – Managing Multi-Cluster Environments
Introduction to Multi-Cluster Management As Kubernetes adoption grows, organizations often deploy multiple clusters to support diverse workloads, geographical redundancy, or multi-tenant environments. Managing these…
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30 Days kubernetes
Day 24: Kubernetes – Exploring Managed Kubernetes in the Cloud
Introduction to Managed Kubernetes Services Cloud providers have simplified Kubernetes adoption with managed Kubernetes services, reducing the complexity of cluster deployment and management. Services…
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30 Days kubernetes
Day 23: Kubernetes – Backups and Disaster Recovery
Introduction to Backups and Disaster Recovery in Kubernetes Data protection is critical for ensuring the reliability and resilience of Kubernetes workloads. Backups and disaster…
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30 Days kubernetes
Day 22: Kubernetes – Troubleshooting Kubernetes
Introduction to Troubleshooting Kubernetes Troubleshooting issues in Kubernetes requires a systematic approach to identify and resolve problems effectively. Whether you’re dealing with pod failures,…
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30 Days kubernetes
Day 21: Kubernetes – CI/CD Pipelines with Kubernetes
Introduction to CI/CD Pipelines with Kubernetes Continuous Integration (CI) and Continuous Deployment/Delivery (CD) are essential practices for modern application development. Kubernetes, being a powerful…
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30 Days kubernetes
Day 20: Kubernetes – Kubernetes Operators
Introduction to Kubernetes Operators Kubernetes Operators are an advanced way to manage applications and their lifecycles in Kubernetes. By codifying operational knowledge into software,…