diff --git a/tracetools_analysis/analysis/memory_usage.ipynb b/tracetools_analysis/analysis/memory_usage.ipynb
new file mode 100644
index 0000000..6d2fb03
--- /dev/null
+++ b/tracetools_analysis/analysis/memory_usage.ipynb
@@ -0,0 +1,158 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Memory usage\n",
+    "#\n",
+    "# Get trace data using the provided launch file:\n",
+    "#    $ ros2 launch tracetools_analysis memory_usage.launch.py\n",
+    "#    (wait a few seconds, then kill with Ctrl+C)\n",
+    "# AND\n",
+    "# Convert trace data:\n",
+    "#    $ ros2 trace-analysis convert ~/.ros/tracing/memory-usage/ust"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "converted_file_path = '~/.ros/tracing/memory-usage/ust/converted'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "# Assuming a workspace with:\n",
+    "#   src/tracetools_analysis/\n",
+    "#   src/micro-ROS/ros_tracing/ros2_tracing/tracetools_read/\n",
+    "sys.path.insert(0, '../')\n",
+    "sys.path.insert(0, '../../../micro-ROS/ros_tracing/ros2_tracing/tracetools_read/')\n",
+    "import datetime as dt\n",
+    "\n",
+    "from bokeh.palettes import viridis\n",
+    "from bokeh.plotting import figure\n",
+    "from bokeh.plotting import output_notebook\n",
+    "from bokeh.io import show\n",
+    "from bokeh.layouts import row\n",
+    "from bokeh.models import ColumnDataSource\n",
+    "from bokeh.models import DatetimeTickFormatter\n",
+    "from bokeh.models import NumeralTickFormatter\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from tracetools_analysis.loading import load_file\n",
+    "from tracetools_analysis.processor import Processor\n",
+    "from tracetools_analysis.processor.memory_usage import MemoryUsageHandler\n",
+    "from tracetools_analysis.processor.ros2 import Ros2Handler\n",
+    "from tracetools_analysis.utils.memory_usage import MemoryUsageDataModelUtil\n",
+    "from tracetools_analysis.utils.ros2 import Ros2DataModelUtil"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Process\n",
+    "events = load_file(converted_file_path)\n",
+    "memory_handler = MemoryUsageHandler()\n",
+    "ros2_handler = Ros2Handler()\n",
+    "Processor(memory_handler, ros2_handler).process(events)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "memory_data_util = MemoryUsageDataModelUtil(memory_handler.data)\n",
+    "ros2_data_util = Ros2DataModelUtil(ros2_handler.data)\n",
+    "\n",
+    "output_notebook()\n",
+    "psize = 650"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot memory usage\n",
+    "memory_usage_dfs = memory_data_util.get_absolute_memory_usage_by_tid()\n",
+    "tids = ros2_data_util.get_tids()\n",
+    "\n",
+    "colours = viridis(len(tids) + 1)\n",
+    "first_tid = min(tids)\n",
+    "starttime = memory_usage_dfs[first_tid].loc[:, 'timestamp'].iloc[0].strftime('%Y-%m-%d %H:%M')\n",
+    "memory = figure(\n",
+    "    title='Userspace memory usage per thread/node',\n",
+    "    x_axis_label=f'time ({starttime})',\n",
+    "    y_axis_label='memory usage',\n",
+    "    plot_width=psize, plot_height=psize,\n",
+    ")\n",
+    "\n",
+    "i_colour = 0\n",
+    "for tid, memory_usage_df in memory_usage_dfs.items():\n",
+    "    if tid not in tids:\n",
+    "        continue\n",
+    "    memory.line(\n",
+    "        x='timestamp',\n",
+    "        y='memory_usage',\n",
+    "        legend=str(tid) + ' ' + str(ros2_data_util.get_node_names_from_tid(tid)),\n",
+    "        line_width=2,\n",
+    "        source=ColumnDataSource(memory_usage_df),\n",
+    "        line_color=colours[i_colour],\n",
+    "    )\n",
+    "    i_colour += 1\n",
+    "\n",
+    "memory.title.align = 'center'\n",
+    "memory.legend.label_text_font_size = '11px'\n",
+    "memory.xaxis[0].formatter = DatetimeTickFormatter(seconds=['%Ss'])\n",
+    "memory.yaxis[0].formatter = NumeralTickFormatter(format='0.0b')\n",
+    "\n",
+    "show(memory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/tracetools_analysis/launch/memory_usage.launch.py b/tracetools_analysis/launch/memory_usage.launch.py
new file mode 100644
index 0000000..95fa2e2
--- /dev/null
+++ b/tracetools_analysis/launch/memory_usage.launch.py
@@ -0,0 +1,48 @@
+# Copyright 2019 Robert Bosch GmbH
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Example launch file for a memory_usage analysis."""
+
+from launch import LaunchDescription
+from launch_ros.actions import Node
+from tracetools_launch.action import Trace
+from tracetools_trace.tools.names import DEFAULT_EVENTS_ROS
+
+
+def generate_launch_description():
+    return LaunchDescription([
+        Trace(
+            session_name='memory-usage',
+            events_ust=[
+                'lttng_ust_libc:malloc',
+                'lttng_ust_libc:calloc',
+                'lttng_ust_libc:realloc',
+                'lttng_ust_libc:free',
+                'lttng_ust_libc:memalign',
+                'lttng_ust_libc:posix_memalign',
+            ] + DEFAULT_EVENTS_ROS,
+        ),
+        Node(
+            package='tracetools_test',
+            node_executable='test_ping',
+            arguments=['do_more'],
+            output='screen',
+        ),
+        Node(
+            package='tracetools_test',
+            node_executable='test_pong',
+            arguments=['do_more'],
+            output='screen',
+        ),
+    ])
diff --git a/tracetools_analysis/tracetools_analysis/data_model/memory_usage.py b/tracetools_analysis/tracetools_analysis/data_model/memory_usage.py
new file mode 100644
index 0000000..042888a
--- /dev/null
+++ b/tracetools_analysis/tracetools_analysis/data_model/memory_usage.py
@@ -0,0 +1,56 @@
+# Copyright 2019 Apex.AI, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Module for memory usage data model."""
+
+import pandas as pd
+
+from . import DataModel
+
+
+class MemoryUsageDataModel(DataModel):
+    """
+    Container to model pre-processed memory usage data for analysis.
+
+    Contains changes in memory allocation (e.g. + for malloc, - for free) with the corresponding
+    timestamp.
+    """
+
+    def __init__(self) -> None:
+        """Create a MemoryUsageDataModel."""
+        super().__init__()
+        self.memory_diff = pd.DataFrame(columns=[
+            'timestamp',
+            'tid',
+            'memory_diff',
+        ])
+
+    def add_memory_difference(
+        self,
+        timestamp: int,
+        tid: int,
+        memory_diff: int,
+    ) -> None:
+        data = {
+            'timestamp': timestamp,
+            'tid': tid,
+            'memory_diff': memory_diff,
+        }
+        self.memory_diff = self.memory_diff.append(data, ignore_index=True)
+
+    def print_data(self) -> None:
+        print('==================MEMORY USAGE DATA MODEL==================')
+        tail = 20
+        print(f'Memory difference (tail={tail}):\n{self.times.tail(tail).to_string()}')
+        print('===========================================================')
diff --git a/tracetools_analysis/tracetools_analysis/processor/memory_usage.py b/tracetools_analysis/tracetools_analysis/processor/memory_usage.py
new file mode 100644
index 0000000..64bd7d9
--- /dev/null
+++ b/tracetools_analysis/tracetools_analysis/processor/memory_usage.py
@@ -0,0 +1,152 @@
+# Copyright 2019 Apex.AI, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Module for memory usage events processing."""
+
+from typing import Dict
+
+from tracetools_read import get_field
+
+from . import EventHandler
+from . import EventMetadata
+from ..data_model.memory_usage import MemoryUsageDataModel
+
+
+class MemoryUsageHandler(EventHandler):
+    """
+    Handler that extracts data for memory usage.
+
+    It uses the following events:
+        * lttng_ust_libc:malloc
+        * lttng_ust_libc:calloc
+        * lttng_ust_libc:realloc
+        * lttng_ust_libc:free
+        * lttng_ust_libc:memalign
+        * lttng_ust_libc:posix_memalign
+
+    The above events are generated when LD_PRELOAD-ing liblttng-ust-libc-wrapper.so, see:
+    https://lttng.org/docs/v2.10/#doc-liblttng-ust-libc-pthread-wrapper
+
+    Implementation inspired by Trace Compass' implementation:
+    https://git.eclipse.org/c/tracecompass/org.eclipse.tracecompass.git/tree/lttng/org.eclipse.tracecompass.lttng2.ust.core/src/org/eclipse/tracecompass/internal/lttng2/ust/core/analysis/memory/UstMemoryStateProvider.java#n161
+    """
+
+    def __init__(
+        self,
+        **kwargs,
+    ) -> None:
+        # Link event to handling method
+        handler_map = {
+            'lttng_ust_libc:malloc':
+                self._handle_malloc,
+            'lttng_ust_libc:calloc':
+                self._handle_calloc,
+            'lttng_ust_libc:realloc':
+                self._handle_realloc,
+            'lttng_ust_libc:free':
+                self._handle_free,
+            'lttng_ust_libc:memalign':
+                self._handle_memalign,
+            'lttng_ust_libc:posix_memalign':
+                self._handle_posix_memalign,
+        }
+        super().__init__(
+            handler_map=handler_map,
+            **kwargs,
+        )
+
+        self._data_model = MemoryUsageDataModel()
+
+        # Temporary buffers
+        # pointer -> current memory size
+        # (used to know keep track of the memory size allocated at a given pointer)
+        self._memory: Dict[int, int] = {}
+
+    @property
+    def data(self) -> MemoryUsageDataModel:
+        return self._data_model
+
+    def _handle_malloc(
+        self, event: Dict, metadata: EventMetadata
+    ) -> None:
+        ptr = get_field(event, 'ptr')
+        if ptr != 0:
+            size = get_field(event, 'size')
+            self._handle(event, metadata, ptr, size)
+
+    def _handle_calloc(
+        self, event: Dict, metadata: EventMetadata
+    ) -> None:
+        ptr = get_field(event, 'ptr')
+        if ptr != 0:
+            nmemb = get_field(event, 'nmemb')
+            size = get_field(event, 'size')
+            self._handle(event, metadata, ptr, size * nmemb)
+
+    def _handle_realloc(
+        self, event: Dict, metadata: EventMetadata
+    ) -> None:
+        ptr = get_field(event, 'ptr')
+        if ptr != 0:
+            new_ptr = get_field(event, 'in_ptr')
+            size = get_field(event, 'size')
+            self._handle(event, metadata, ptr, 0)
+            self._handle(event, metadata, new_ptr, size)
+
+    def _handle_free(
+        self, event: Dict, metadata: EventMetadata
+    ) -> None:
+        ptr = get_field(event, 'ptr')
+        if ptr != 0:
+            self._handle(event, metadata, ptr, 0)
+
+    def _handle_memalign(
+        self, event: Dict, metadata: EventMetadata
+    ) -> None:
+        ptr = get_field(event, 'ptr')
+        if ptr != 0:
+            size = get_field(event, 'size')
+            self._handle(event, metadata, ptr, size)
+
+    def _handle_posix_memalign(
+        self, event: Dict, metadata: EventMetadata
+    ) -> None:
+        ptr = get_field(event, 'out_ptr')
+        if ptr != 0:
+            size = get_field(event, 'size')
+            self._handle(event, metadata, ptr, size)
+
+    def _handle(
+        self,
+        event: Dict,
+        metadata: EventMetadata,
+        ptr: int,
+        size: int,
+    ) -> None:
+        timestamp = metadata.timestamp
+        tid = metadata.tid
+
+        memory_difference = size
+        # Store the size allocated for the given pointer
+        if memory_difference != 0:
+            self._memory[ptr] = memory_difference
+        else:
+            # Othersize, if size is 0, it means it was deleted
+            # Try to fetch the size stored previously
+            allocated_memory = self._memory.get(ptr, None)
+            if allocated_memory is not None:
+                memory_difference = -allocated_memory
+
+        # Add to data model
+        self.data.add_memory_difference(timestamp, tid, memory_difference)
diff --git a/tracetools_analysis/tracetools_analysis/processor/profile.py b/tracetools_analysis/tracetools_analysis/processor/profile.py
index fb3bdbd..20178bb 100644
--- a/tracetools_analysis/tracetools_analysis/processor/profile.py
+++ b/tracetools_analysis/tracetools_analysis/processor/profile.py
@@ -36,6 +36,10 @@ class ProfileHandler(EventHandler):
         * lttng_ust_cyg_profile_fast:func_exit
         * sched_switch
 
+    The above events are generated when using -finstrument-functions with gcc and LD_PRELOAD-ing
+    liblttng-ust-cyg-profile-fast.so, see:
+    https://lttng.org/docs/v2.10/#doc-liblttng-ust-cyg-profile
+
     TODO get debug_info from babeltrace for
     lttng_ust_cyg_profile_fast:func_entry events
     (or resolve { address -> function } name another way)
diff --git a/tracetools_analysis/tracetools_analysis/utils/memory_usage.py b/tracetools_analysis/tracetools_analysis/utils/memory_usage.py
new file mode 100644
index 0000000..19221e8
--- /dev/null
+++ b/tracetools_analysis/tracetools_analysis/utils/memory_usage.py
@@ -0,0 +1,72 @@
+# Copyright 2019 Apex.AI, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Module for memory usage data model utils."""
+
+from collections import defaultdict
+from typing import Dict
+
+from pandas import DataFrame
+
+from . import DataModelUtil
+from ..data_model.memory_usage import MemoryUsageDataModel
+
+
+class MemoryUsageDataModelUtil(DataModelUtil):
+    """Memory usage data model utility class."""
+
+    def __init__(
+        self,
+        data_model: MemoryUsageDataModel,
+    ) -> None:
+        """
+        Create a MemoryUsageDataModelUtil.
+
+        :param data_model: the data model object to use
+        """
+        super().__init__(data_model)
+
+    def get_absolute_memory_usage_by_tid(self) -> Dict[int, DataFrame]:
+        """
+        Get absolute memory usage over time per tid.
+
+        :return (tid -> DataFrame of absolute memory usage over time)
+        """
+        previous = defaultdict(int)
+        data = defaultdict(list)
+        for index, row in self.data.memory_diff.iterrows():
+            timestamp = row['timestamp']
+            tid = row['tid']
+            diff = row['memory_diff']
+            previous_value = previous[tid]
+            next_value = previous_value + diff
+            data[tid].append({
+                'timestamp': timestamp,
+                'tid': tid,
+                'memory_usage': previous_value,
+            })
+            data[tid].append({
+                'timestamp': timestamp,
+                'tid': tid,
+                'memory_usage': next_value,
+            })
+            previous[tid] = next_value
+        return {
+            tid: self.convert_time_columns(
+                DataFrame(data[tid], columns=['timestamp', 'tid', 'memory_usage']),
+                columns_ns_to_datetime=['timestamp'],
+                inplace=True,
+            )
+            for tid in data
+        }
diff --git a/tracetools_analysis/tracetools_analysis/utils/ros2.py b/tracetools_analysis/tracetools_analysis/utils/ros2.py
index a20c890..0db7a8a 100644
--- a/tracetools_analysis/tracetools_analysis/utils/ros2.py
+++ b/tracetools_analysis/tracetools_analysis/utils/ros2.py
@@ -114,6 +114,10 @@ class Ros2DataModelUtil(DataModelUtil):
             obj: self._prettify(callback_symbols.loc[obj, 'symbol']) for obj in callback_objects
         }
 
+    def get_tids(self) -> List[str]:
+        """Get a list of thread ids corresponding to the nodes."""
+        return self.data.nodes['tid'].unique().tolist()
+
     def get_callback_durations(
         self,
         callback_obj: int,