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Connects EF Core change tracking to object retention, query shape, projections, and read-only API performance.
Focuses on ToList chains, collection capacity, repeated enumeration, and memory-aware data shaping.
Covers allocation rate, collection frequency, latency symptoms, and safe production steps for GC-heavy services.
Uses file upload processing to practice bounded memory, stream ownership, temporary files, and retained buffers.
Covers chunking, bounded concurrency, scoped dependencies, progress, retries, and avoiding full-dataset memory spikes.
Turns LOH theory into an API investigation around large payloads, buffers, serialization, and concurrency.
Frames allocation reduction as measurement-driven API work rather than premature micro-optimization.
Clarifies the difference between objects being retained accidentally and code simply allocating too much temporary memory.
Explains string immutability, concatenation behavior, and pragmatic use of StringBuilder in .NET.
Covers large exports, uploads, and API responses where bounded memory matters more than convenience.
Introduces lower-level allocation tools while emphasizing measurement, ownership, and safe usage.
Covers the Large Object Heap, big buffers, fragmentation pressure, and practical ways to avoid loading too much at once.
Explains cache memory growth, eviction, size limits, stale data, and why cache design needs explicit bounds.