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Hands On Kafka Course
Lesson 45: Prefix Scanning — Fetching Every Driver in a Hexagon in O(K) Time
The Naive Approach (And Why It Dies at 3,000 Events/Sec)Week 5 : Advanced Consumer Design & Error Handling (Days 21–25)
What We Will Build TodayLesson 44: Designing the Composite Key
The Naive Approach (and Why It Collapses at 10k Drivers/sec)Lesson 43: Introduction to RocksDB — Fast Local State for 10k Driver Records
The Problem: State at 10,000 Drivers
System Design Interview Roadmap
System Design Interview Roadmap - Step by step process that will make you comfortable, familiar and then expert at System Design. By System Design Roadmap · Over 22,000 subscribers
LLM Inference Scaling: Techniques for Low-Latency Token Generation
IntroductionDesign a Distributed Rate Limiter — The Senior+ Walkthrough
The rate limiter question is compact, deceptively hard, and asked everywhere.Offers landed — What the Spring Cohort got right
Learn System Design with System building, Subscribe Hands On coding course - LogStreamRAG Architecture — Designing Context-Aware AI Systems
Introduction
Hands On System Design with Distributed Systems Implementation - 254-Lesson’s curriculum
Day 173: Implement Feature Usage Analytics
Yesterday we mapped revenue impact from system issues.Day 67: Create Audit Trails for Log Access
What We’re Building TodayWeek 3: Data Serialization and Formats
When Every Log Speaks a Different LanguageDay 172: Revenue Impact Analysis — Connecting System Health to Business Outcomes
Lesson Agenda
AI and Machine Learning Course from Scratch
This exhaustive curriculum provides a full 180-day plan, designed to take a learner from foundational skills to advanced AI topics. Each day’s lesson is carefully structured to build upon the last, ensuring a smooth and logical learning progression.
AI Agents Mastery
Learning Outcomes By course completion, you\'ll have: Built 15+ production-ready agents with proper error handling and monitoring Implemented scalable architectures handling concurrent requests and resource management Deployed agent systems with CI/CD pip
Hands-on System Design with Java Spring Boot
This course provides an in-depth, hands-on journey into designing and implementing ultra-scalable task schedulers using Java Spring Boot. You will learn every core system design concept, explore diverse use cases, and gain practical experience
Day 3: ThreadPoolTaskScheduler — Pool Sizing, Thread Naming & Graceful Shutdown
The One InsightDay 53: Sharding Logic II — Enforcing Shard Identity in the IDENTIFY Payload
The Spring Boot TrapDay 2: @Scheduled Deep Dive — fixedRate vs fixedDelay vs cron
The One InsightDay 52: Understanding Discord’s Guild Sharding Algorithm
Introduction
Quant Developer: Architecting Autonomous Trading Systems
This course moves you from a coder to a Quant Infrastructure Engineer, focusing on high-concurrency execution and robust risk management.In production, a slippage or a WebSocket delay is the difference between a high-performing alpha and a blown account.
Day 69 — Rebuild Logic: Restoring Account State from Disk
Your strategy process is going to die.Day 68 — Atomic IO: Ensuring File Integrity During High Volume
The “Just Open and Write” TrapDay 67: System Logs — Implementing the logging.error() Stream
Continuing from the free post: the naive logging.error() call blocks your event loop and produces an unqueryable audit trail.Day 66 — State Dumping: JSON Snapshots of the Account Balance
The AutoQuant-Alpha Architecture
Hands-On DevOps Engineering
The DevOps landscape has fundamentally transformed in 2024-2025. With AI integration reaching 78% adoption and platform engineering commanding 26.6% salary premiums, traditional DevOps approaches are insufficient. This course bridges the gap between theoretical knowledge and production-ready skills, focusing on the convergence of DevOps, MLOps, and platform engineering that modern organizations demand.
Day 39: Dynamic User Profiles
Updating Embedding Vectors Based on Engagement at 100M+ RPWeek 6: Cloud-Native Security (DevSecOps) (Days 36-42)
What We Are BuildingDay 38: Semantic Ranking — Scoring Feeds via Interest Vector Similarity
The Abstraction TrapDay 37: Safety Guardrails — Human-in-the-Loop for Agentic Actions
The Abstraction Trap
Hands on Fullstack Development
From zero-to-production every day — build, deploy, test, and operate real systems that employers and startups actually need.
Day 133: Mobile Integration: Testing the Complete Mobile Experience
You built the mobile-first UI with gestures, forms, and accessible dashboards on Day 132.Day 132: Mobile UI/UX — Building Touch-First Experiences That Scale
What We Build TodayDay 131: Mobile Performance — Build Fast or Get Scrolled Past
What We’re Building TodayWeek 6 : Alert Management Control Plane
What We Are Building
How Tech - Systems Programming
How Tech - Systems Programming
Tuning Linux for Optimal Worst-Case Task Switch Latency
1.Developing Kernel Drivers for Specific-Purpose Memory: Inside mempool_t
Every kmalloc() call is a promise the kernel might not keep.The Kernel Watches Itself: Inside Soft Lockup, Hard Lockup, and Hung Task Detection
A userspace watchdog answers a simple question: Is my application still running? It cannot answer a far more important one: Is the kernel itself still making forward progress? Once the scheduler stalls or a CPU stops servicing interrupts, userspace loses the ability to observe the system.Implementing a Minimal Monolithic Kernel Module for Device Access
Part I — Article