Instrumented Redis 7.2 with drainability profiling to measure jemalloc slab fragmentation. Found critical asymmetric accounting bug, fixed with symmetric fastpath instrumentation. Final result: deleting 50% of keys freed 195K objects but achieved 0% drainability - genuine structural fragmentation detected and validated.
Why does free show 1GB available but your app OOM’d? Why is RSS 4GB when your heap is 2GB? A complete taxonomy of memory metrics from system level (total, available, cached) to process level (RSS, PSS, USS, WSS) to allocator internals.
From theory to practice: integrating drainability profiling into temporal-slab. See validation results (DSR = 1.0 - p), diagnostic mode pinpointing slab_lib.c:1829, and step-by-step integration guide for your allocator.
Memory grows unbounded. Valgrind shows zero leaks. Research proves coarse-grained allocators have a binary asymptotic outcome: satisfy drainability for O(1) retention, violate it for Ω(t) growth. No middle ground.
The Go compiler decides whether your values live on the stack or heap through escape analysis. Understanding this mechanism explains Go’s performance characteristics and helps you write faster code without sacrificing clarity.
Discover why Python dominates big data despite the GIL: Python coordinates, C/Rust/JVM executes. Learn how NumPy, pandas, Polars, and PySpark bypass the GIL for true parallelism.
All Python developers know that everything in Python is an object. But at what cost? A deep dive into Python’s heap-only memory model and the 28-byte overhead of storing a simple integer.