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How It Works: Internals Explained

19 articles·~284 min total·Updated
Distributed Systems(3)
  1. 01

    How It Works: Internals Explained — Your Complete Learning Roadmap

    Master 18 Critical System Internals Through 6 Structured Learning Groups

    •17 min read
  2. 09

    How Kafka Works: The Log That Never Forgets

    Kafka is not just a message queue; it's a distributed streaming platform. We explain Topics, Partitions, and Offsets.

    •15 min read
  3. 14

    Consistent Hashing: Scaling Without Chaos

    How do you distribute data across 100 servers so that adding a new server doesn't require moving...

    •14 min read
Algorithms(3)
  1. 02

    What are Hash Tables? Basics Explained

    Hash Tables are the magic behind O(1) lookups. We explain Hash Functions, Collisions, and why the...

    •13 min read
  2. 03

    Understanding Inverted Index and Its Benefits in Software Development

    Why is Google so fast? It doesn't scan every webpage. It uses an Inverted Index. We explain how t...

    •16 min read
  3. 12

    How Bloom Filters Work: The Probabilistic Set

    Can you check if a username is taken without querying the database? Yes. Bloom Filters are a space-efficient probabilistic data structure.

    •15 min read
Cryptography(1)
  1. 04

    X.509 Certificates: A Deep Dive into How They Work

    Your browser trusts Google because of a file called a Certificate. We explain the Chain of Trust, Public Keys, and Revocation.

    •16 min read
Architecture(1)
  1. 05

    How Transformer Architecture Works: A Deep Dive

    The Transformer is the engine behind ChatGPT, BERT, and Claude. We break down Self-Attention, Mul...

    •18 min read
Encryption(1)
  1. 06

    How SSL/TLS Works: The Handshake Explained

    When you see the green lock icon, your data is safe. But how? We break down the SSL Handshake, Public/Private Keys, and Certificates.

    •15 min read
Authentication(1)
  1. 07

    How OAuth 2.0 Works: The Valet Key Pattern

    Stop sharing your password. OAuth 2.0 lets you grant limited access to your data (like 'Read Contacts') without sharing your credentials.

    •16 min read
Containers(1)
  1. 08

    How Kubernetes Works: The Container Orchestrator

    Docker runs containers. Kubernetes manages them. We explain Pods, Nodes, Deployments, and Services to demystify the world's most popular orchestrator.

    •15 min read
Deep Learning(1)
  1. 10

    How GPT (LLM) Works: The Next Word Predictor

    ChatGPT isn't magic; it's math. We explain the core mechanism of Generative Pre-trained Transformers (GPT) and how they predict the next word.

    •16 min read
Devops(1)
  1. 11

    How Fluentd Works: The Unified Logging Layer

    Logs are messy. Fluentd cleans them up. Learn how this open-source data collector unifies logging from multiple sources.

    •13 min read
Elasticsearch(1)
  1. 13

    How Apache Lucene Works: The Engine Behind Elasticsearch

    Elasticsearch and Solr are built on Lucene. We explain the Inverted Index, Segments, and TF-IDF scoring.

    •15 min read
Cap-theorem(1)
  1. 15

    BASE Theorem Explained: How it Stands Against ACID

    ACID guarantees consistency. BASE guarantees availability. We explain the trade-offs between SQL...

    •15 min read
Consensus(1)
  1. 16

    A Guide to Raft, Paxos, and Consensus Algorithms

    How do distributed databases agree on data? We explain the Leader Election and Log Replication me...

    •15 min read
System Design(1)
  1. Webhooks Explained: Don't Call Us, We'll Call You17

    Webhooks Explained: Don't Call Us, We'll Call You

    Polling is slow and wasteful. Webhooks are event-driven callbacks that deliver data the moment something happens.

    •13 min read
Java(1)
  1. Java Memory Model Demystified: Stack vs. Heap18

    Java Memory Model Demystified: Stack vs. Heap

    Where do your variables live? We explain the Stack, the Heap, and the Garbage Collector in simple terms.

    •14 min read
Concurrency(1)
  1. Types of Locks Explained: Optimistic vs. Pessimistic Locking19

    Types of Locks Explained: Optimistic vs. Pessimistic Locking

    How do you prevent two users from editing the same record at the same time? We compare Optimistic Locking (Versioning) and Pessimistic Locking (Databa

    •13 min read