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README.md

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+---
+title: 'Getting Started with Spring Cloud Data Flow'
+disqus: hackmd
+---
 
+Getting Started with Spring Cloud Data Flow
+===
+
+[TOC]
+
+## What is this?
+
+A step-by-step guide and walk through to get started with Spring Cloud Data Flow (SCDF) on Kubernetes.
+
+1. The guide is created for students who attend the [SCDF workshop at SpringOne 2020](https://springone.io/2020/workshops/spring-cloud-data-flow).
+2. Students will learn how to prepare the environment to run SCDF on Kubernetes in the Strigo platform. Alternatively, you can follow the instructions to repeat this in your laptop or in an EC2 instance.
+
+## Prerequisite
+
+1. [Strigo](https://strigo.io/) account 
+2. Registered for the SCDF workshop with an access code
+
+> Ignore this if you're following this guide to repeat it in your laptop.
+
+### Machine Requirements
+
+We will be using Minikube as the Kubernetes environment with `--vm-driver=docker` as the driver and at least 4CPUs and 10GB RAM is required to run the lab in entireity.
+
+```
+minikube start --vm-driver=docker --kubernetes-version v1.17.0 --memory=10240 --cpus=4
+```
+
+> If you are repeating it in EC2, you will have to launch the AMI with `t2.xlarge`  instance type.
+
+> Kubernetes 1.17.x is used in the lab but you can pick a version that is [compatible](https://dataflow.spring.io/docs/installation/kubernetes/compatibility/) with SCDF.
+
+### Spring Cloud Data Flow
+
+To demonstrate stream processing, batch processing, analytics and the observability capabilities in SCDF, the following components will be provisioned in Kubernetes.
+
+1. Spring Cloud Data Flow
+2. Spring Cloud Skipper
+3. Prometheus
+4. Grafana
+5. Apache Kafka
+6. MariaDB 
+
+To provision all this in a single command, the lab relies on the Spring Cloud Data Flow's Bitnami chart. Students will have to run the `sh scripts/deploy-scdf.sh` script that is available in the repo.
+
+### Tools / Programs
+
+The AMI is prepared with the following tools.
+
+1. Java
+2. Maven
+3. Docker
+4. Minikube
+5. K9s
+6. Helm
+7. kubectl
+8. VS Code
+
+> Once when you login to the VM, test the environment by running the `sh scripts/test-env.sh` script.
+
+>[ec2-user@ip SpringOne2020]$ sh scripts/test-env.sh 
+docker is ready
+minikube is ready
+helm is ready
+kubectl is ready
+k9s is ready
+java is ready
+mvn is ready
+
+What will be covered in the workshop?
+---
+```sequence
+Strigo->Lab: Start the Lab in Strigo
+
+Note left of Prepare: You'll do this once
+Lab->Prepare: Start minikube
+Lab->Prepare: Deploy SCDF stack
+Lab->Prepare: Pull latest code from Git and build the applications
+Lab->Prepare: Generate docker images
+
+Prepare-->Lab: Stuck? Cleanup and repeat
+
+Prepare->Streaming Lab: Build an IoT streaming use-case
+Prepare->Streaming Lab: Deploy streaming use-case from SCDF to K8s; verify results
+Prepare->Streaming Lab: Monitor and observe performance using Prometheus & Grafana
+
+Streaming Lab-->Prepare: Stuck? Cleanup and repeat; ask questions
+
+Prepare->Batch Lab: Build and design a batch-job use-case
+Prepare->Batch Lab: Launch the batch-job from SCDF to K8s; verify results
+Prepare->Batch Lab: Schedule the batch-job in SCDF to K8s; verify results
+Prepare->Batch Lab: Monitor and observe performance using Prometheus & Grafana
+
+Batch Lab-->Prepare: Stuck? Cleanup and repeat; ask questions
+
+```
+
+## Appendix and FAQ
+
+:::info
+Spring Cloud Data Flow for Kubernetes
+Spring Cloud Data Flow Documentation
+Spring Cloud Data Flow Samples
+:::
+
+###### tags: `event streaming` `batch processing` `stateful streams` `predictive analytics` `cloud-native` `microservices`