The Ultimate 10 Years Java Garbage Collection Guide (2016–2026) – Choosing the Right GC for Every Workload
Memory management remains the primary factor for application performance in enterprise Java environments. Between 2017 and 2025, the ecosystem shifted from manual tuning to architectural selection. Industry data suggests that 60 percent of Java performance issues and 45 percent of production incidents in distributed systems stem from suboptimal Garbage Collection (GC) behavior. This guide provides a strategic framework for selecting collectors based on workload characteristics. It covers the transition from legacy collectors to Generational ZGC, analyzing trade-offs regarding throughput, latency, and hardware constraints with mathematical precision.
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Optimizing the Garbage Collector when Migrating Cloud Workloads
Table of Contents Why GC Tuning Matters on ArmOpenJDK VersionChoosing the Right Garbage CollectorHeap Size and GC Pause TimeAdaptive Heap SizingClosing the feedback loopDeveloper Education for the Java CommunityNeed Assistance from Experts? Introduction to Java on Arm You might associate …
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Foojay Podcast #52: JCON Report, Part 4 – Garbage Collectors, Intelligence Cloud, Test Containers and Flaky Tests, ToxiProxy, Structured Concurrency, Virtual Threads
Garbage Collectors, Intelligence Cloud, Test Containers and Flaky Tests, ToxiProxy, Structured Concurrency, and Virtual Threads!
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How Java Litters Beyond the Heap: Part 3, Solid-State Drives
Explore how solid-state drives (SSDs), the default storage medium for on-disk data, use garbage collection.
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How Java Litters Beyond the Heap: Part 1, Relational Databases
Let’s create a simple Java application and see how the application generates garbage at the relational database level.