processResidentMemoryBytesMD      = NewGaugeMD(processResidentMemoryBytes, "Resident memory size in bytes")
	processVirtualMemoryBytesMD       = NewGaugeMD(processVirtualMemoryBytes, "Virtual memory size in bytes")
	processVirtualMemoryMaxBytesMD    = NewGaugeMD(processVirtualMemoryMaxBytes, "Maximum virtual memory size in bytes")
)

func loadProcStatMetrics(ctx context.Context, stat procfs.ProcStat, m MetricValues) {

 * class to read a response that is larger than the entire memory allocated to the current process.
 * It can even stream a response larger than the total storage on the current device, which is a
 * common requirement for video streaming applications.
 *
 * Because this class does not buffer the full response in memory, the application may not

* You don't have to use `File()` in the default value of the parameter.
* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.

 * java.util.LinkedHashSet}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class
 * when there is a specific reason to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible // not worth using in GWT for now

 *
 * Features:
 * - Secure key storage with optional KeyStore integration
 * - Automatic key cleanup on close
 * - Thread-safe key management
 * - Key derivation utilities
 * - Memory wiping capabilities
 */
public class SecureKeyManager implements AutoCloseable {

    private static final Logger log = LoggerFactory.getLogger(SecureKeyManager.class);

 * {@link MemoryDataHelper} to store and manage the URL patterns in memory.
 *
 */
public class UrlFilterServiceImpl implements UrlFilterService {

    /**
     * Creates a new UrlFilterServiceImpl instance.
     */
    public UrlFilterServiceImpl() {
        // NOP
    }

    /**
     * The memory data helper.
     */
    @Resource
    protected MemoryDataHelper dataHelper;

    /*

- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.
   The new KMS-based approach can use a key derivation function that is orders of magnitudes
   cheaper w.r.t. memory and CPU.
- Root credentials can now be changed easily. Before, a two-step process was required to

* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

## Memory { #memory }

If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

- **Caching** - Bean descriptors and reflection metadata are cached for improved performance
- **Lazy initialization** - Resources and expensive operations are initialized only when needed  
- **Memory efficient** - Specialized collections like `LruHashMap` and `ArrayMap` for memory-conscious applications
- **Java 21 features** - Switch expressions and pattern matching for reduced overhead

## 🧪 Building and Testing

### Development Setup
```bash

set FESS_MIN_MEM=%FESS_HEAP_SIZE%
set FESS_MAX_MEM=%FESS_HEAP_SIZE%
)

REM min and max heap sizes should be set to the same value to avoid
REM stop-the-world GC pauses during resize, and so that we can lock the
REM heap in memory on startup to prevent any of it from being swapped
REM out.
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Xms%FESS_MIN_MEM% -Xmx%FESS_MAX_MEM%
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -XX:MaxMetaspaceSize=256m -XX:CompressedClassSpaceSize=32m