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Tech Freedom Circle

Crazy Maker Circle (Tech Freedom Architecture Circle): a community of tech enthusiasts, experts, and high‑performance fans. Many top‑level masters, architects, and hobbyists have achieved tech freedom; another wave of go‑getters are hustling hard toward tech freedom.

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Latest from Tech Freedom Circle

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Tech Freedom Circle

Nov 18, 2025 · Backend Development

Optimizing Internal HTTP Calls: From Head‑of‑Line Blocking to High‑Performance Microservices

This article dissects the hidden technical debt of internal HTTP APIs, explains why HTTP/1.1 causes head‑of‑line blocking, redundant headers and serialization overhead, and walks through a step‑by‑step, data‑driven optimization roadmap—including HTTP/2, Protobuf, request aggregation, connection pooling, compression, caching, async processing, observability, and safe gray‑release deployment—backed by concrete benchmarks and code samples.

CachingConnection PoolingHTTP/2

0 likes · 32 min read

Optimizing Internal HTTP Calls: From Head‑of‑Line Blocking to High‑Performance Microservices

Tech Freedom Circle

Nov 17, 2025 · Backend Development

Spring Design Patterns Interview: The One Question That Can Make or Break Your Offer

This article breaks down Spring’s layered architecture and walks through ten core design patterns—factory, singleton, proxy, template method, observer, adapter, decorator, strategy, chain of responsibility, facade, and delegate—showing how they appear in real interview scenarios and how mastering them can turn a tough interview question into a winning advantage.

Design PatternsJavaSpring

0 likes · 50 min read

Spring Design Patterns Interview: The One Question That Can Make or Break Your Offer

Tech Freedom Circle

Nov 16, 2025 · Databases

How Redis Pipeline Can Boost Performance 3‑12× and Impress Interviewers

This article explains Redis Pipeline’s core principle of batching commands to reduce network round‑trips, presents benchmark data showing up to 17‑fold speedups, details real‑world use cases such as cache warm‑up, heartbeat reporting, and high‑traffic events, and provides best‑practice guidelines on batch sizing, error handling, cluster constraints, and comparisons with transactions and Lua scripts.

JavaPerformancePipeline

0 likes · 36 min read

How Redis Pipeline Can Boost Performance 3‑12× and Impress Interviewers

Tech Freedom Circle

Nov 15, 2025 · Databases

How to Prevent Order Loss in a 100k TPS Flash Sale When the Master DB Crashes – 5 Practical Solutions

The article dissects a high‑traffic flash‑sale interview question—how to guarantee zero order loss at 100,000 TPS when the master MySQL instance fails—by explaining the underlying performance‑consistency conflict, the three skills interviewers assess, and presenting five concrete, code‑driven solutions ranging from MySQL parameter tuning to semi‑sync replication, local message tables, group replication, and Redis‑Kafka traffic shaping.

Data ConsistencyFlash SaleGroup Replication

0 likes · 28 min read

How to Prevent Order Loss in a 100k TPS Flash Sale When the Master DB Crashes – 5 Practical Solutions

Tech Freedom Circle

Nov 14, 2025 · Backend Development

Why MyBatis Interview Answers on SQL Injection Still Fail – A Deep Technical Dive

The article dissects MyBatis' mechanisms for preventing SQL injection, compares the safe #{ } syntax with the risky ${ } syntax, explains the underlying PreparedStatement workflow, and provides concrete best‑practice guidelines and code examples for secure usage.

MyBatisParameter BindingPreparedStatement

0 likes · 22 min read

Why MyBatis Interview Answers on SQL Injection Still Fail – A Deep Technical Dive

Tech Freedom Circle

Nov 12, 2025 · Databases

How MyBatis Queries Without Method Implementations – 4 Tricks to Reverse an Interview Rejection

The article explains why MyBatis can execute database queries without concrete method implementations by using JDK dynamic proxies, detailing the roles of MapperProxy, MapperMethod, SqlSession and Executor, and walks through the four‑step process from proxy creation to result mapping.

Database AccessDynamic proxyJava

0 likes · 27 min read

How MyBatis Queries Without Method Implementations – 4 Tricks to Reverse an Interview Rejection

Tech Freedom Circle

Nov 11, 2025 · Backend Development

ThreadLocal Interview Deep Dive: 20‑Minute Analysis, Manual vs Framework Solutions, and a Winning Methodology

This article explains the inner workings of Java's ThreadLocal, why it fails to propagate context in asynchronous scenarios, compares manual passing and decorator‑based approaches, introduces the TransmittableThreadLocal (TTL) library with its CRER workflow, and provides a structured interview answer that showcases deep architectural insight.

ConcurrencyContextPropagationJava

0 likes · 26 min read

ThreadLocal Interview Deep Dive: 20‑Minute Analysis, Manual vs Framework Solutions, and a Winning Methodology

Tech Freedom Circle

Nov 10, 2025 · Databases

Why Does an UPDATE on a Non‑Indexed Column Lock the Whole MySQL Table?

When MySQL executes an UPDATE or DELETE that uses a column without an index, it must scan the entire table and acquires a combination of row, gap, and intention locks, which effectively blocks all other write operations and behaves like a table‑level lock, so adding proper indexes is essential.

InnoDBMySQLUPDATE

0 likes · 20 min read

Why Does an UPDATE on a Non‑Indexed Column Lock the Whole MySQL Table?

Tech Freedom Circle

Nov 8, 2025 · Interview Experience

What’s the Secret Behind Python’s Multi‑Process, Multi‑Thread & Coroutine Tricks That Top Tech Interviews Demand?

This article breaks down Python’s Global Interpreter Lock, explains when to use multiprocessing, multithreading or asyncio, provides concrete performance benchmarks and a hybrid process‑coroutine pattern, and guides you on choosing the right concurrency model for interview questions.

ConcurrencyPerformanceasyncio

0 likes · 57 min read

What’s the Secret Behind Python’s Multi‑Process, Multi‑Thread & Coroutine Tricks That Top Tech Interviews Demand?

Tech Freedom Circle

Nov 5, 2025 · Artificial Intelligence

Elasticsearch: BM25, TF‑IDF, Dense Vectors, kNN, L2 & Cosine Distances, RRF

This article provides a comprehensive technical guide to Elasticsearch’s core retrieval models—BM25 and TF‑IDF—while detailing modern vector‑based search using dense_vector, kNN, L2 and cosine distances, and demonstrates how to combine keyword and semantic results through hybrid search and Reciprocal Rank Fusion (RRF) with practical configuration examples.

BM25ElasticSearchRRF

0 likes · 42 min read

Elasticsearch: BM25, TF‑IDF, Dense Vectors, kNN, L2 & Cosine Distances, RRF