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This guide explains why Java heap dumps miss native memory, introduces Native Memory Tracking (NMT) and tools like pmap and gdb, and provides practical code and JVM settings to detect, analyze, and prevent native memory leaks in Java programs.
This article explains the challenges of maintaining data consistency in distributed, event‑driven microservice architectures and introduces three practical patterns—Outbox, Original Event Handling, and Self‑Read—to guarantee reliable state synchronization across services, even when failures occur.
This article explains the evolution of Linux kernel tracepoints, the design of the TRACE_EVENT() macro, its six parameters, and how to define, compile, and use tracepoints such as sched_switch for efficient, low‑overhead kernel tracing across various tracers.
This article explains system design fundamentals and shows how to use back‑of‑the‑envelope calculations to quickly estimate load, storage, cache, and bandwidth requirements, helping engineers make informed architectural decisions with simple math and practical examples.
This article outlines a comprehensive, step‑by‑step roadmap for preparing system design interviews, covering foundational concepts, interview templates, high‑level and detailed design choices, practical resources, mock interview platforms, and company‑specific tailoring to boost candidates' success.
This article explores six core software architecture patterns—Monolithic, Microservices, MVC, Controller‑Worker, Event‑Driven, and Layered—detailing their structures, typical use cases, advantages, and drawbacks to help developers choose the right design for scalable, maintainable applications.
This article outlines the standard BCC workflow for creating eBPF tools, then dissects the opensnoop source code, covering requirement analysis, kernel‑space program writing, BPF map configuration, user‑space Python integration, argument handling, testing, optimization, and deployment steps to monitor open system calls.
This article provides an in‑depth analysis of BPF maps—explaining their design principles, core features, various map types with code examples, and the macro expansion process that turns high‑level BCC helpers into native kernel map definitions for cloud‑native observability.
This article outlines essential Java coding habits—including unit testing with TDD, using Optional to avoid nulls, preferring StringBuilder, proper exception handling, composition over inheritance, Streams API, try‑with‑resources, dependency injection, naming conventions, and design patterns—to dramatically improve code readability, performance, and maintainability.
This tutorial introduces the BPF Compiler Collection (BCC) suite, explains how to install it, lists essential Linux commands, and provides step‑by‑step examples of each BCC tool for fast performance analysis, fault isolation, and network troubleshooting on Linux systems.
