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Programmer1970

Formerly called 'Code to 35'. Add our main WeChat ID to access a wealth of shared resources (algorithms, interview prep, tech stacks: Java, Python, Go, big data). We mainly share serious development techniques, focusing on output-driven input. Occasionally we post life snippets and gossip. Our aim is to attract precise traffic and test advertising opportunities.

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Latest from Programmer1970

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Programmer1970

Jul 25, 2025 · Backend Development

Netty Performance Tuning: Zero‑Copy, Off‑Heap Memory Management, and EventLoop Thread Model Optimization

This article analyzes the root causes of high CPU usage, GC pauses, and thread contention in Netty‑based messaging systems and presents a step‑by‑step solution covering zero‑copy with CompositeByteBuf and FileRegion, off‑heap Direct Buffers with PooledByteBufAllocator, and fine‑tuned EventLoopGroup configurations, backed by concrete benchmark data.

Java NIONettyOff-heap memory

0 likes · 11 min read

Netty Performance Tuning: Zero‑Copy, Off‑Heap Memory Management, and EventLoop Thread Model Optimization

Programmer1970

Jul 17, 2025 · Cloud Native

Nacos in Spring Cloud: Split‑Brain, Timeout, and Performance Deep Dive

This article analyzes three critical issues when using Nacos as a service registry in Spring Cloud—network partition (split‑brain), registration timeout, and high‑concurrency performance bottlenecks—explaining their root causes, code‑level mechanisms, and practical mitigation strategies, and concludes with a feature‑by‑feature comparison of Nacos, Eureka, and Zookeeper.

CAP theoremNacosPerformance Tuning

0 likes · 9 min read

Nacos in Spring Cloud: Split‑Brain, Timeout, and Performance Deep Dive

Programmer1970

Jul 14, 2025 · Backend Development

Why Interviewers Prefer ReentrantLock Over synchronized: Underlying Mechanisms and Performance Gains

In ultra‑high‑concurrency scenarios, synchronized becomes a bottleneck, while ReentrantLock can boost QPS by about 30% thanks to its active AQS state management, avoidance of biased‑lock revocation, more flexible spinning, and richer APIs, and the article outlines when to choose each.

AQSJava concurrencyReentrantLock

0 likes · 7 min read

Why Interviewers Prefer ReentrantLock Over synchronized: Underlying Mechanisms and Performance Gains

Programmer1970

Jun 30, 2025 · Fundamentals

How Do Java Annotations Work Inside the JVM? From Compile‑time to Runtime Proxies

The article explains the complete lifecycle of Java annotations, covering how the compiler represents them in the AST, how retention policies affect bytecode generation, how the JVM parses annotation attributes during class loading, and how dynamic proxy objects are created and used at runtime, with concrete Spring framework examples.

AnnotationsDynamic ProxyJVM

0 likes · 12 min read

How Do Java Annotations Work Inside the JVM? From Compile‑time to Runtime Proxies

Programmer1970

Jun 21, 2025 · Operations

Core Measures for 99.99% Service Availability – A High‑Frequency Interview Question

The article explains how to achieve 99.99% high availability in distributed systems—equivalent to less than 53 minutes of downtime per year—by combining redundancy and failover, automated operations with Kubernetes and monitoring, and strong data‑consistency mechanisms, illustrated with real‑world cases from Alibaba, Netflix and Ant Financial.

Chaos EngineeringHigh Availabilitycircuit breaker

0 likes · 8 min read

Core Measures for 99.99% Service Availability – A High‑Frequency Interview Question

Programmer1970

Jun 17, 2025 · Fundamentals

Why Does Full GC Happen Frequently in the JVM? Common Scenarios and Fixes

Full GC pauses all application threads and degrades performance; this article explains frequent Full GC causes such as memory leaks, large object allocation, old‑generation and metaspace shortages, and mis‑configured JVM parameters, and provides concrete detection tools and optimization strategies for each garbage collector.

Full GCGC TuningGarbage Collection

0 likes · 8 min read

Why Does Full GC Happen Frequently in the JVM? Common Scenarios and Fixes

Programmer1970

Jun 12, 2025 · Backend Development

Understanding Spring's Transaction Management: PlatformTransactionManager and TransactionSynchronizationManager

The article explains how Spring's PlatformTransactionManager and TransactionSynchronizationManager work together to provide both declarative and programmatic transaction management, detailing their core responsibilities, lifecycle handling, synchronization callbacks, practical use cases, and common troubleshooting steps.

JavaPlatformTransactionManagerSpring

0 likes · 8 min read

Understanding Spring's Transaction Management: PlatformTransactionManager and TransactionSynchronizationManager

Programmer1970

Jun 11, 2025 · Backend Development

A Comprehensive Overview of Spring Framework’s Transaction Management

This article dissects Spring's transaction management system, detailing its layered architecture, core interfaces such as PlatformTransactionManager, TransactionDefinition and TransactionSynchronization, the lifecycle of transaction start, commit and rollback, programmatic and declarative usage, advanced features like distributed and nested transactions, common pitfalls, and optimization recommendations.

AOPBackendJTA

0 likes · 13 min read

A Comprehensive Overview of Spring Framework’s Transaction Management

Programmer1970

Jun 8, 2025 · Operations

Deep Dive into RSA: How It Works and Why It’s Secure

This article explains RSA’s history, key generation steps, encryption and decryption processes, the mathematical foundations behind its security, practical considerations like key length and random number generation, and common application scenarios such as secure communications, digital signatures, and authentication.

DecryptionEncryptionJava

0 likes · 13 min read

Deep Dive into RSA: How It Works and Why It’s Secure