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KMKaustubh Mishrakmscratch.hashnode.devJul 5 · 9 min read

Java Variables and Datatypes

Hello! all, a warm welcome to my scratchPad. If you are new to this series and wanna know more about it, as well as my resources and motivation behind it, you can read it up here in the Series Introdu

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RARuhit Armanarmanruhit.hashnode.devMay 28 · 12 min read

Lazy Singletons in Java: Why Double-Checked Locking Needs "volatile", and the Better Alternative That Doesn't

If you've ever read about the singleton pattern in Java, you've almost certainly run into the phrase "double-checked locking," usually followed immediately by a stern warning: don't forget the volatil

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TOTomisin Oladeleteeto.hashnode.devMay 24 · 4 min read

Understanding Heap and Stack Memory

Disclaimer It’s important to note that this topic is broader than what is covered in this article. The goal is to have a basic understanding of the heap and stack memory. Heap Memory Heap memory is sh

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NLNagesh Lakshmana Gowdanageshtech.hashnode.devMay 19 · 4 min read

Java 25 vs Java 21 — What’s New and Why Developers Should Care

Java continues to evolve rapidly, bringing better performance, developer productivity, cloud-native improvements, and modern language enhancements. While Java 21 became a major Long-Term Support (LTS)

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AAAbstract Algorithmsabstractalgorithms.hashnode.devMay 3 · 25 min read

Java 14 to 17: Records, Sealed Classes, Text Blocks, and Pattern Matching

TLDR: Java 14–17 ran a deliberate four-release preview-to-stable conveyor belt. Records replaced 50-line POJOs with one line. Text blocks ended escape-sequence chaos in multi-line strings. Sealed clas

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AAAbstract Algorithmsabstractalgorithms.hashnode.devMay 3 · 22 min read

Java 21 to 25: Virtual Threads, Pattern Matching, and Structured Concurrency

TLDR: Java 21 LTS makes virtual threads a production-ready replacement for bounded thread pools — your newFixedThreadPool(200) can become newVirtualThreadPerTaskExecutor() and handle 10× the concurren

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TTuanhdotnettuanhnet.hashnode.devMay 4 · 10 min read

Reasons Java services get slower after a few hours: How to find thread pool saturation?

Source: Reasons Java services get slower after a few hours: How to find thread pool saturation? You boot a service at 03:00 and it behaves beautifully: sub-second responses, healthy throughput. By noon, requests start lagging. After an outage ticke...

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AAAbstract Algorithmsabstractalgorithms.hashnode.devMay 3 · 16 min read

Java 8 to 11: Lambdas, Streams, Modules, and the End of Boilerplate

TLDR: Java 8 introduced the most impactful set of language features in Java's history — lambdas eliminated anonymous inner classes, streams replaced imperative loops, and Optional made null handling e

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TTuanhdotnettuanhnet.hashnode.devApr 25 · 12 min read

Methods to Tune JVM Container Awareness for Real Kubernetes Resource Constraints

Source: Methods to Tune JVM Container Awareness for Real Kubernetes Resource Constraints You shipped the service, the green pipeline smiled, and then production nodes started killing pods. The symptom is deceptively simple — an OOMKilled pod — but ...

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TTuanhdotnettuanhnet.hashnode.devApr 24 · 13 min read

Methods to Handle Time Drift Issues in Distributed Systems

Source: Methods to Handle Time Drift Issues in Distributed Systems Many production incidents start with a moment of cognitive dissonance: logs from service A show an event happening "after" an event in service B, but tracing reveals the opposite. D...

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#jvm

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Trending tags this week

Java Variables and Datatypes

Lazy Singletons in Java: Why Double-Checked Locking Needs "volatile", and the Better Alternative That Doesn't

Understanding Heap and Stack Memory

Java 25 vs Java 21 — What’s New and Why Developers Should Care

Java 14 to 17: Records, Sealed Classes, Text Blocks, and Pattern Matching

Java 21 to 25: Virtual Threads, Pattern Matching, and Structured Concurrency

Reasons Java services get slower after a few hours: How to find thread pool saturation?

Java 8 to 11: Lambdas, Streams, Modules, and the End of Boilerplate

Methods to Tune JVM Container Awareness for Real Kubernetes Resource Constraints

Methods to Handle Time Drift Issues in Distributed Systems