Create readme

Links to the documentation on wiki

README.md

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+  <img src="https://cloud.githubusercontent.com/assets/4391815/26681386/05b857c4-46ab-11e7-8c71-15a46d886834.png">
+</p>
+
+
+<!--
+http://www.apache.org/licenses/LICENSE-2.0.txt
+
+
+Copyright 2015 Turbonomic
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+
+# **Project LEMUR: Observability and Context** 
+
+Start with documentation on the [wiki](https://github.com/turbonomic/lemur/wiki). Developers can use Lemur to understand their microservice applications in the context of the stack, determining whether there are performance issues in application code or architecture, or whether the issue is with the underlying infrastructure.
+
+<p align="center">
+  <img src="https://github.com/evat-pm/images/blob/master/LemurNewFull.png" width="150" height="150">
+</p>
+
+### What's Included: Observability + Context
+This free offering is a bundling of 3 observability tools, plus Turbonomic full-stack context. In a single UI, you can analyze your applications within the context of the platforms it runs on.
+
+* Application Metrics via Prometheus/Grafana
+* Service Mesh via Kiali
+* Tracing via Jaeger
+* Full-stack Context is provided by Turbonomic
+<p align="center">
+  <img src="https://github.com/evat-pm/images/blob/master/lemur-package-3.png" width="500" height="350">
+</p>
+
+Ready to experience the visibility? Let's get [LEAPING!](https://github.com/turbonomic/lemur/wiki/Lemur-Installation)
+
+***
+
+##
+Interested in Full Stack CONTROL?  Check out [KubeTurbo!](https://github.com/turbonomic/kubeturbo/wiki) Kubeturbo leverages [Turbonomic's](https://turbonomic.com/) patented analysis engine to provide visibility and control across the entire stack in order to assure the performance of running micro-services in Kubernetes Pods, as well as the efficiency of underlying infrastructure.
+***