diff --git a/dash-apm-python/index.json b/dash-apm-python/index.json
index 5c9d1bb..1b0e423 100644
--- a/dash-apm-python/index.json
+++ b/dash-apm-python/index.json
@@ -21,22 +21,22 @@
         "text": "step_4.md"
       },
       {
-        "title": "Introducing errors",
-        "text": "step_5.md",
-        "courseData": "step_5_background.sh"
+        "title": "Enable trace and logs",
+        "text": "step_5.md"
       },
       {
-        "title": "Introducing latencies",
+        "title": "Introducing errors",
         "text": "step_6.md",
         "courseData": "step_6_background.sh"
       },
       {
-        "title": "Enable trace and logs",
+        "title": "Adding manual spans",
         "text": "step_7.md"
       },
       {
-        "title": "Adding manual spans",
-        "text": "step_8.md"
+        "title": "Introducing latencies",
+        "text": "step_8.md",
+        "courseData": "step_8_background.sh"
       },
       {
         "title": "Enabling monitors",
diff --git a/dash-apm-python/step_5.md b/dash-apm-python/step_5.md
index d759918..cdd7999 100644
--- a/dash-apm-python/step_5.md
+++ b/dash-apm-python/step_5.md
@@ -1,8 +1,84 @@
-In this phase we are going to introduce an exception into our application
-to see how we can track it down.
+# Enable Datadog logs agent
 
-`restart-services`{{execute interrupt}} to continue.
+Add the following environment variables to the `agent` service in `docker-compose.yml`.
 
-Open the `frontend` service page to continue.
+`DD_LOGS_ENABLED=true`{{copy}}
+`DD_LOGS_CONFIG_CONTAINER_COLLECT_ALL=true`{{copy}}
 
-https://app.datadoghq.com/apm/service/frontend
+Our service should look like:
+
+```yaml
+agent:
+  environment:
+    - DD_API_KEY
+    - DD_APM_ENABLED=true
+    - DD_TAGS='env:apm-workshop'
+    - DD_LOGS_ENABLED=true
+    - DD_LOGS_CONFIG_CONTAINER_COLLECT_ALL=true
+```{{copy}}
+
+# Enable trace id injection into logs
+
+Add the following environment variable to the `frontend`, `node`, `pumps`,
+and `sensors` services in `docker-compose.yml`.
+
+`DD_LOGS_INTEGRATION=true`{{copy}}
+
+Our services should look like:
+
+```yaml
+frontend:
+    env_file: ".env"
+    environment:
+      - DATADOG_SERVICE_NAME=frontend
+      - DATADOG_TRACE_AGENT_HOSTNAME=agent
+      - DD_ANALYTICS_ENABLED=true
+      - DD_LOGS_INTEGRATION=true
+```{{copy}}
+
+``` yaml
+node:
+    env_file: ".env"
+    environment:
+      - DD_SERVICE_NAME=users-api
+      - DD_TRACE_AGENT_HOSTNAME=agent
+      - DD_ANALYTICS_ENABLED=true
+      - DD_LOGS_INTEGRATION=true
+```{{copy}}
+
+``` yaml
+pumps:
+  env_file: ".env"
+  environment:
+    - FLASK_APP=pumps.py
+    - FLASK_DEBUG=1
+    - POSTGRES_PASSWORD=postgres
+    - POSTGRES_USER=postgres
+    - DATADOG_SERVICE_NAME=pumps-service
+    - DATADOG_TRACE_AGENT_HOSTNAME=agent
+    - DD_ANALYTICS_ENABLED=true
+    - DD_LOGS_INTEGRATION=true
+```{{copy}}
+
+``` yaml
+sensors:
+  env_file: ".env"
+  environment:
+    - FLASK_APP=sensors.py
+    - FLASK_DEBUG=1
+    - POSTGRES_PASSWORD=postgres
+    - POSTGRES_USER=postgres
+    - DATADOG_SERVICE_NAME=sensors-api
+    - DATADOG_TRACE_AGENT_HOSTNAME=agent
+    - DD_ANALYTICS_ENABLED=true
+    - DD_LOGS_INTEGRATION=true
+```{{copy}}
+
+
+Afterwards restart docker services:
+
+`restart-services`{{execute interrupt}}
+
+Finally, open logs dashboard:
+
+https://app.datadoghq.com/logs
diff --git a/dash-apm-python/step_5_background.sh b/dash-apm-python/step_5_background.sh
deleted file mode 100644
index e98a1ca..0000000
--- a/dash-apm-python/step_5_background.sh
+++ /dev/null
@@ -1,3 +0,0 @@
-#!/usr/bin/env bash
-
-echo "WORKSHOP_ADD_ERRORS=true" >> /tracing-workshop/.env
diff --git a/dash-apm-python/step_6.md b/dash-apm-python/step_6.md
index c7b16a2..d759918 100644
--- a/dash-apm-python/step_6.md
+++ b/dash-apm-python/step_6.md
@@ -1,4 +1,4 @@
-In this phase we are going to introduce an latency into our application
+In this phase we are going to introduce an exception into our application
 to see how we can track it down.
 
 `restart-services`{{execute interrupt}} to continue.
diff --git a/dash-apm-python/step_6_background.sh b/dash-apm-python/step_6_background.sh
index 4c394c9..e98a1ca 100644
--- a/dash-apm-python/step_6_background.sh
+++ b/dash-apm-python/step_6_background.sh
@@ -1,3 +1,3 @@
 #!/usr/bin/env bash
 
-echo "WORKSHOP_ADD_LATENCY=true" >> /tracing-workshop/.env
+echo "WORKSHOP_ADD_ERRORS=true" >> /tracing-workshop/.env
diff --git a/dash-apm-python/step_7.md b/dash-apm-python/step_7.md
index cdd7999..e69de29 100644
--- a/dash-apm-python/step_7.md
+++ b/dash-apm-python/step_7.md
@@ -1,84 +0,0 @@
-# Enable Datadog logs agent
-
-Add the following environment variables to the `agent` service in `docker-compose.yml`.
-
-`DD_LOGS_ENABLED=true`{{copy}}
-`DD_LOGS_CONFIG_CONTAINER_COLLECT_ALL=true`{{copy}}
-
-Our service should look like:
-
-```yaml
-agent:
-  environment:
-    - DD_API_KEY
-    - DD_APM_ENABLED=true
-    - DD_TAGS='env:apm-workshop'
-    - DD_LOGS_ENABLED=true
-    - DD_LOGS_CONFIG_CONTAINER_COLLECT_ALL=true
-```{{copy}}
-
-# Enable trace id injection into logs
-
-Add the following environment variable to the `frontend`, `node`, `pumps`,
-and `sensors` services in `docker-compose.yml`.
-
-`DD_LOGS_INTEGRATION=true`{{copy}}
-
-Our services should look like:
-
-```yaml
-frontend:
-    env_file: ".env"
-    environment:
-      - DATADOG_SERVICE_NAME=frontend
-      - DATADOG_TRACE_AGENT_HOSTNAME=agent
-      - DD_ANALYTICS_ENABLED=true
-      - DD_LOGS_INTEGRATION=true
-```{{copy}}
-
-``` yaml
-node:
-    env_file: ".env"
-    environment:
-      - DD_SERVICE_NAME=users-api
-      - DD_TRACE_AGENT_HOSTNAME=agent
-      - DD_ANALYTICS_ENABLED=true
-      - DD_LOGS_INTEGRATION=true
-```{{copy}}
-
-``` yaml
-pumps:
-  env_file: ".env"
-  environment:
-    - FLASK_APP=pumps.py
-    - FLASK_DEBUG=1
-    - POSTGRES_PASSWORD=postgres
-    - POSTGRES_USER=postgres
-    - DATADOG_SERVICE_NAME=pumps-service
-    - DATADOG_TRACE_AGENT_HOSTNAME=agent
-    - DD_ANALYTICS_ENABLED=true
-    - DD_LOGS_INTEGRATION=true
-```{{copy}}
-
-``` yaml
-sensors:
-  env_file: ".env"
-  environment:
-    - FLASK_APP=sensors.py
-    - FLASK_DEBUG=1
-    - POSTGRES_PASSWORD=postgres
-    - POSTGRES_USER=postgres
-    - DATADOG_SERVICE_NAME=sensors-api
-    - DATADOG_TRACE_AGENT_HOSTNAME=agent
-    - DD_ANALYTICS_ENABLED=true
-    - DD_LOGS_INTEGRATION=true
-```{{copy}}
-
-
-Afterwards restart docker services:
-
-`restart-services`{{execute interrupt}}
-
-Finally, open logs dashboard:
-
-https://app.datadoghq.com/logs
diff --git a/dash-apm-python/step_8.md b/dash-apm-python/step_8.md
index e69de29..c7b16a2 100644
--- a/dash-apm-python/step_8.md
+++ b/dash-apm-python/step_8.md
@@ -0,0 +1,8 @@
+In this phase we are going to introduce an latency into our application
+to see how we can track it down.
+
+`restart-services`{{execute interrupt}} to continue.
+
+Open the `frontend` service page to continue.
+
+https://app.datadoghq.com/apm/service/frontend
diff --git a/dash-apm-python/step_8_background.sh b/dash-apm-python/step_8_background.sh
new file mode 100644
index 0000000..4c394c9
--- /dev/null
+++ b/dash-apm-python/step_8_background.sh
@@ -0,0 +1,3 @@
+#!/usr/bin/env bash
+
+echo "WORKSHOP_ADD_LATENCY=true" >> /tracing-workshop/.env