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RAMAnalyse

RAMAnalyse is a memory-analysis tool designed to profile and visualize RAM usage on computer systems. It provides insights into how memory is allocated, used, and released, helping developers, system administrators, and performance engineers diagnose memory-related issues and optimize runtime efficiency.

It collects data from running processes and the operating system, presenting both real-time views and historical

RAMAnalyse uses a modular architecture with an optional agent on host systems that gathers data via native

Cross-platform compatibility includes Windows, Linux, and macOS, with integrations for common monitoring stacks through REST APIs

Typical use cases include identifying memory leaks, investigating memory pressure under load, optimizing heap usage and

RAMAnalyse is presented as an open framework in many documentation sets and has a growing ecosystem of

See also: Memory profiler, Heap profiler, Valgrind Massif, perf memory, Windows Performance Monitor.

trends.
Core
capabilities
include
process-level
memory
profiling
(resident
and
virtual
memory,
private
memory),
heap
and
object
lifetime
tracking,
paging
and
swap
activity,
and
analysis
of
memory
allocation
patterns.
The
tool
can
highlight
growth
over
time,
peak
consumption,
fragmentation
indicators,
and
the
impact
of
garbage
collection
in
managed
runtimes.
Reports
can
be
exported
in
CSV
or
JSON
formats
for
further
analysis.
OS
APIs,
a
central
collector
that
aggregates
and
stores
measurements,
and
a
web-based
user
interface
for
exploration
and
reporting.
It
supports
sampling-based
data
collection
as
well
as
instrumentation
where
precise
event
tracing
is
required.
Data
models
organize
samples,
events,
and
associations
to
processes,
threads,
and
modules.
and
standard
export
formats.
The
system
is
designed
to
be
non-intrusive,
configurable
in
terms
of
sampling
rate,
and
capable
of
handling
large-scale
environments.
allocator
behavior,
performing
capacity
planning,
and
evaluating
the
memory
impact
of
software
updates.
plugins
and
adapters.
It
emphasizes
reproducible
reporting
and
can
be
incorporated
into
CI
pipelines
or
on-call
dashboards.