diff --git a/dask-metrics/README.md b/dask-metrics/README.md
index 535cc54..4037acc 100644
--- a/dask-metrics/README.md
+++ b/dask-metrics/README.md
@@ -32,6 +32,7 @@ pip install .
 * **`timestamp`**: the time, in seconds, since the start of metric collection.
 
 ### Optional
+* **`tasks`**: the keys of the currently executing tasks
 * **`total-mem`**: the memory used, in bytes, by each GPU on a worker
 * **`mem-util`**: the memory utilization of each GPU on a worker as a percentage of total memory available.
 * **`compute-util`**: the compute utilization of each GPU on a worker as a percentage of maximum compute ability.
diff --git a/dask-metrics/conda.recipe/meta.yaml b/dask-metrics/conda.recipe/meta.yaml
index 4522b70..d36ac0a 100644
--- a/dask-metrics/conda.recipe/meta.yaml
+++ b/dask-metrics/conda.recipe/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: dask-metrics
-  version: "2021.8.12"
+  version: "2021.8.20"
 
 build:
-  number: 0
+  number: 2
   noarch: python
 
 source:
diff --git a/dask-metrics/dask_metrics/monitor.py b/dask-metrics/dask_metrics/monitor.py
index fb6fb0a..994291d 100644
--- a/dask-metrics/dask_metrics/monitor.py
+++ b/dask-metrics/dask_metrics/monitor.py
@@ -677,6 +677,14 @@ def mem_util(worker, handle):
         def compute_util(worker, handle):
             return pynvml.nvmlDeviceGetUtilizationRates(handle).gpu
 
+        @operation("tasks", per_device=False)
+        def tasks(worker, handles):
+            result = []
+            for key, state in worker.tasks.items():
+                if state.state == "executing":
+                    result.append(key)
+            return ", ".join(result)
+
         self.tracking_list = [o for o in operations if o["name"] in tracking]
         self.tracking_list += custom
         self.clear_metrics(clear_disk=True)
diff --git a/dask-metrics/dask_metrics/visualize.py b/dask-metrics/dask_metrics/visualize.py
index b6d2aca..df3c0e7 100644
--- a/dask-metrics/dask_metrics/visualize.py
+++ b/dask-metrics/dask_metrics/visualize.py
@@ -13,13 +13,18 @@ def _get_data(worker_file, job, metrics):
     df = cudf.read_csv(worker_file)
     section = df[df["job"] == job]
 
+    if len(section) == 0:
+        raise ValueError(
+            f"The requested job '{job}' was not found in the provided file"
+        )
+
     sections = []
     for metric in metrics:
         if metric not in section:
             raise ValueError(
                 f"The requested metric '{metric}' was not found in the provided file"
             )
-
+ 
         m = section[metric].str.split(pat=", ")
         m = m.to_arrow().to_pylist()
         m = cudf.DataFrame(m, dtype="int64")
diff --git a/dask-metrics/setup.py b/dask-metrics/setup.py
index 3eb8740..ac7f86e 100755
--- a/dask-metrics/setup.py
+++ b/dask-metrics/setup.py
@@ -11,7 +11,7 @@
 
 setup(
     name="dask-metrics",
-    version="2021.8.12",
+    version="2021.8.20",
     description="A tool for collecting metrics on distributed Dask clusters",
     author="Travis Hester",
     packages=find_packages(include=["dask_metrics"]),