diff --git a/docs/source/handlers.rst b/docs/source/handlers.rst
index 42545fefbfe8..31828b5ac60d 100644
--- a/docs/source/handlers.rst
+++ b/docs/source/handlers.rst
@@ -28,3 +28,6 @@ Complete list of handlers
 .. autoclass:: TerminateOnNan
 
 .. autofunction:: global_step_from_engine
+
+.. autoclass:: TimeLimit
+   :members:
\ No newline at end of file
diff --git a/ignite/handlers/__init__.py b/ignite/handlers/__init__.py
index cb37d8ce431f..749ec4bcb408 100644
--- a/ignite/handlers/__init__.py
+++ b/ignite/handlers/__init__.py
@@ -5,6 +5,7 @@
 from ignite.handlers.checkpoint import Checkpoint, DiskSaver, ModelCheckpoint
 from ignite.handlers.early_stopping import EarlyStopping
 from ignite.handlers.terminate_on_nan import TerminateOnNan
+from ignite.handlers.time_limit import TimeLimit
 from ignite.handlers.timing import Timer
 
 __all__ = [
@@ -15,6 +16,7 @@
     "EarlyStopping",
     "TerminateOnNan",
     "global_step_from_engine",
+    "TimeLimit",
 ]
 
 
diff --git a/ignite/handlers/time_limit.py b/ignite/handlers/time_limit.py
new file mode 100644
index 000000000000..bef9cf6ad7e7
--- /dev/null
+++ b/ignite/handlers/time_limit.py
@@ -0,0 +1,46 @@
+import logging
+import time
+from typing import Optional
+
+from ignite.engine import Engine
+
+__all__ = ["TimeLimit"]
+
+
+class TimeLimit:
+    """TimeLimit handler can be used to control training time for computing environments where session time is limited.
+    Timer starts when handler is created and not training started.
+    This handler gracefully terminates the training if time passed in the training exceeds a limit.
+
+    Args:
+        limit_sec (int, optional): Maximum time before training terminates (in seconds). Defaults to 28800.
+
+    Examples:
+
+        .. code-block:: python
+
+            from ignite.engine import Events
+            from ignite.handlers import TimeLimit
+
+            handler = TimeLimit() # 8 hours of training
+            trainer.add_event_handler(Events.ITERATION_COMPLETED, handler)
+
+    .. versionadded:: 0.4.3
+    """
+
+    def __init__(self, limit_sec: Optional[int] = 28800):
+
+        if not isinstance(limit_sec, int):
+            raise TypeError("Argument limit_sec should be an integer.")
+        if limit_sec <= 0:
+            raise ValueError("Argument limit_sec should be a positive integer.")
+
+        self.limit_sec = limit_sec
+        self.start_time = time.time()
+        self.logger = logging.getLogger(__name__ + "." + self.__class__.__name__)
+
+    def __call__(self, engine: Engine) -> None:
+        elapsed_time = time.time() - self.start_time
+        if elapsed_time > self.limit_sec:
+            self.logger.info("Reached the time limit: {} sec. Stop training".format(self.limit_sec))
+            engine.terminate()
diff --git a/tests/ignite/handlers/test_time_limit.py b/tests/ignite/handlers/test_time_limit.py
new file mode 100644
index 000000000000..2965603f758e
--- /dev/null
+++ b/tests/ignite/handlers/test_time_limit.py
@@ -0,0 +1,39 @@
+import time
+
+import pytest
+
+from ignite.engine import Engine, Events
+from ignite.handlers import TimeLimit
+
+
+def test_arg_validation():
+
+    with pytest.raises(ValueError, match=r"Argument limit_sec should be a positive integer."):
+        TimeLimit(limit_sec=-5)
+
+    with pytest.raises(TypeError, match=r"Argument limit_sec should be an integer."):
+        TimeLimit(limit_sec="abc")
+
+
+def test_terminate_on_time_limit():
+    def _train_func(engine, batch):
+        time.sleep(1)
+
+    def _test(n_iters, limit):
+        started = time.time()
+        trainer = Engine(_train_func)
+
+        @trainer.on(Events.TERMINATE)
+        def _():
+            trainer.state.is_terminated = True
+
+        trainer.add_event_handler(Events.ITERATION_COMPLETED, TimeLimit(limit))
+        trainer.state.is_terminated = False
+
+        trainer.run(range(n_iters))
+        elapsed = round(time.time() - started)
+        assert elapsed <= limit + 1
+        assert trainer.state.is_terminated == (n_iters > limit)
+
+    _test(20, 10)
+    _test(5, 10)