add more steps

dash-apm-python/step_4.md

@@ -2,7 +2,7 @@ We can attach our own custom application metadata to spans.
 
 Open `frontend/frontend/api.py` file.
 
-Add the following code after the `app = Flask('api')` on line 16.
+Add the following code after the `app = Flask('api')`.
 
 ``` python
 @app.before_request

dash-apm-python/step_5.md

@@ -0,0 +1,29 @@
+What happens when unexpected exceptions are raised from our application?
+
+Open `frontend/frontend/api.py` file in the editor.
+
+Add the following code to the beginning of the `def simulate_sensors` route.
+
+``` python
+maybe_raise_exception()
+```{{copy}}
+
+The end result function should look like:
+
+``` python
+@app.route('/simulate_sensors')
+def simulate_sensors():
+    maybe_raise_exception()
+
+    app.logger.info('Simulating refresh of sensor data')
+    resp = requests.get('http://sensors:5002/refresh_sensors')
+    resp.raise_for_status()
+    sensors = resp.json()
+    return jsonify(sensors)
+```{{copy}}
+
+Restart our services `docker-compose up`{{execute interrupt}}.
+
+Open the `/simulate_sensors` resource page for our `frontend` service.
+
+https://app.datadoghq.com/apm/service/frontend/flask.request

dash-apm-python/step_6.md

@@ -0,0 +1,29 @@
+With APM we can easily visualize where latencies are coming from.
+
+Open `sensors/sensors.py` file in the editor.
+
+Add the following to the `def refresh_sensors` endpoint.
+
+```python
+time.sleep(2)
+```{{copy}}
+
+When we are done the function should look like:
+
+``` python
+@app.route('/refresh_sensors')
+def refresh_sensors():
+    app.logger.info('Calling refresh sensor simulator')
+    sensors = simulate_all_sensors()
+
+    time.sleep(2)
+
+    return jsonify({'sensor_count': len(sensors),
+                    'system_status': sensors})
+```{{copy}}
+
+Restart our services `docker-compose up`{{execute interrupt}}
+
+Open the service page for our `frontend` service.
+
+https://app.datadoghq.com/apm/service/frontend/flask.request