diff --git a/parslexec.py b/parslexec.py
new file mode 100644
index 0000000..69a579b
--- /dev/null
+++ b/parslexec.py
@@ -0,0 +1,68 @@
+from parsl.config import Config
+from parsl.channels import LocalChannel
+from parsl.executors import HighThroughputExecutor
+from parsl.executors.threads import ThreadPoolExecutor
+from parsl.providers import LocalProvider
+from parsl.providers import KubernetesProvider
+from parsl.addresses import address_by_route
+
+htex_local = Config(
+    executors=[
+        HighThroughputExecutor(
+            label="htex_local",
+            worker_debug=True,
+            cores_per_worker=1,
+            provider=LocalProvider(
+                channel=LocalChannel(),
+                init_blocks=1,
+                max_blocks=1
+            ),
+        )
+    ],
+)
+
+local_exec = Config(
+    executors=[ 
+        ThreadPoolExecutor( max_threads=10, label='local_exec') 
+    ]
+)
+
+htex_kube = Config(
+    executors=[
+        HighThroughputExecutor(
+            label='kube-htex',
+            cores_per_worker=1,
+            max_workers=2,
+            worker_logdir_root='/',
+            # Address for the pod worker to connect back
+            #address=address_by_route(),
+            address='192.168.0.103',
+            #address_probe_timeout=3600,
+            worker_debug=True,
+            provider=KubernetesProvider(
+                namespace="test",
+
+                # Docker image url to use for pods
+                image='mbjones/python3-parsl:0.2',
+
+                # Command to be run upon pod start, such as:
+                # 'module load Anaconda; source activate parsl_env'.
+                # or 'pip install parsl'
+                #worker_init='echo "Worker started..."; lf=`find . -name \'manager.log\'` tail -n+1 -f ${lf}',
+                worker_init='echo "Worker started..."',
+
+                # The secret key to download the image
+                #secret="YOUR_KUBE_SECRET",
+
+                # Should follow the Kubernetes naming rules
+                pod_name='parsl-worker',
+
+                nodes_per_block=1,
+                init_blocks=2,
+                min_blocks=1,
+               # Maximum number of pods to scale up
+                max_blocks=4,
+            ),
+        ),
+    ]
+)
diff --git a/viz-workflow.py b/viz-workflow.py
new file mode 100644
index 0000000..3b5b1d9
--- /dev/null
+++ b/viz-workflow.py
@@ -0,0 +1,39 @@
+# Example script for executing parsl workflow apps on kubernetes
+
+import datetime
+import parsl
+from parsl import python_app
+
+def main():
+    '''Main program to execute all stats.'''
+
+    parsl.set_stream_logger()
+    #from parslexec import local_exec
+    from parslexec import htex_kube
+    #parsl.load(local_exec)
+    parsl.load(htex_kube)
+
+    size = 5
+    stat_results = []
+    for year in range(size):
+        for lat in range(size):
+            current_time = datetime.datetime.now()
+            print(f'Schedule job at {current_time} for {year} and {lat}')
+            stat_results.append(calc_stat_lat(year, lat))
+    stats = [r.result() for r in stat_results]
+    print(sum(stats))
+
+@python_app
+def calc_stat_lat(year, lat):
+    import datetime
+    import time
+    current_time = datetime.datetime.now()
+    print(f'Starting job at {current_time} for {year} and {lat}')
+    prod = year*lat
+    time.sleep(5)
+    return(prod)
+
+
+if __name__ == "__main__":
+    main()
+