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README.md

@@ -27,6 +27,14 @@ sowie die damit zusammenhängenden Grenzen von Service-Mesh-Technologien kennen
 
 ## Vorbereitung
 
+Sie benötigen auf Ihren lokalen Entwicklungsrechner:
+
+- [Python 3](https://www.python.org/downloads)
+- [Docker](https://www.docker.com/get-started)
+- [Lens](https://k8slens.io)
+
+Führen Sie anschließend bitte folgende Schritte aus:
+
 1. [Forken](https://git.mylab.th-luebeck.de/cloud-native/lab-traffic-mgmt/-/forks/new) Sie sich bitte dieses [Repository](https://git.mylab.th-luebeck.de/cloud-native/lab-traffic-mgmt).
 2. Erstellen Sie anschließend in Gitlab unter `Einstellungen -> Repository -> Bereitstellungstoken` für das in Schritt 1 geforkte Repository einen **Bereitstellungstoken**, um selbstgebaute Container Images deployen zu können.
    - **Name:** `Registry read access (deployment)`
@@ -62,7 +70,7 @@ In diesem Schritt wird ein kleiner Open Notify aggrgierender Space-Data-Service
   - `space/service.py` (Python-Implementierung des Space-Data-Services)
   - `.gitlab-ci.yaml` (`space-services`-Job der `deploy`-Stage)
 
-## Übung 02: Instrumentieren des Space- Data-Service
+## Übung 02: Instrumentieren des Space-Data-Service
 
 Wir instrumentieren nun den Space-Data-Service wie bereits im vorherigen Lab mittels *Istio*. Vollziehen Sie hierzu gerne den `space-services`-Job in der `deploy`-Stage der Build-Pipeline nach.