From 710c5882ba764a8bbe83a6c10593eea419d5433c Mon Sep 17 00:00:00 2001
From: brettlangdon <brett.langdon@datadoghq.com>
Date: Tue, 25 Jun 2019 12:54:43 -0400
Subject: [PATCH] Add start to DASH workshop scenario

---
 dash-apm-python/README.md  | 11 +++++++++++
 dash-apm-python/finish.md  |  0
 dash-apm-python/index.json | 20 ++++++++++++++++++++
 dash-apm-python/intro.md   |  0
 4 files changed, 31 insertions(+)
 create mode 100644 dash-apm-python/README.md
 create mode 100644 dash-apm-python/finish.md
 create mode 100644 dash-apm-python/index.json
 create mode 100644 dash-apm-python/intro.md

diff --git a/dash-apm-python/README.md b/dash-apm-python/README.md
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+# Pinpointing Microservice Bottlenecks in Python with Datadog APM
+
+https://www.dashcon.io/workshops/pinpointing-microservice-bottlenecks-in-python-with-datadog-apm/
+
+As software moves to microservices and containers, the need for better tooling to debug our systems grows.
+
+In this workshop, we'll introduce distributed tracing as a method to gain visibility and insight into these distributed applications.
+
+Traces allow us to see units of work, as they pass across our subsystems. By incorporating traces with logs and metrics, we can see performance bottlenecks, verify legacy system changes, and deploy confidently into complex environments.
+
+We'll instrument a few Python microservices with the Datadog Agent, and see how distributed traces can be used in the real world, to get better insight into the health of your systems.
diff --git a/dash-apm-python/finish.md b/dash-apm-python/finish.md
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index 0000000..e69de29
diff --git a/dash-apm-python/index.json b/dash-apm-python/index.json
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+++ b/dash-apm-python/index.json
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+{
+  "title": "Pinpointing Microservice Bottlenecks in Python with Datadog APM",
+  "description": "As software moves to microservices and containers, the need for better tooling to debug our systems grows.\n\nIn this workshop, we'll introduce distributed tracing as a method to gain visibility and insight into these distributed applications.\n\nTraces allow us to see units of work, as they pass across our subsystems. By incorporating traces with logs and metrics, we can see performance bottlenecks, verify legacy system changes, and deploy confidently into complex environments.\n\nWe'll instrument a few Python microservices with the Datadog Agent, and see how distributed traces can be used in the real world, to get better insight into the health of your systems.",
+  "details": {
+    "steps": [
+    ],
+    "intro": {
+      "text": "intro.md"
+    },
+    "finish": {
+      "text": "finish.md"
+    }
+  },
+  "environment": {
+    "uilayout": "editor-terminal"
+  },
+  "backend": {
+    "imageid": "git"
+  }
+}
diff --git a/dash-apm-python/intro.md b/dash-apm-python/intro.md
new file mode 100644
index 0000000..e69de29