Design SystemAcademyFeedback

Quickstart/Local Setup

mGramSeva Quickstart, this is not for a production

Quickstart Installation helps you jump-start with the mGramSeva basic installation with limited functionalities.‌

mGramSeva is a distributed microservice-based platform that comprises many services that are containerized. Depending upon the required features, the specific services can be run on any container-supported orchestration platform like docker-compose, Kubernetes, etc.‌

The Quickstart guide covers the installation steps for basic services to get the platform up. Before setting up mGramSeva, create a lightweight Kubernetes cluster called k3d on a local machine with specified H/W requirements. The H/W requirements are listed below to ensure before we proceed further.‌

1. Infra Setup

To provision a lightweight Kubernetes cluster, please follow the instructions below in context to your OS and install the k3d on your machine.‌

H/W or VM Size

  • min 4 vCPUs (recommended 8)

  • min 8GiB of RAM (recommended 16)

  • min 30GiB of HDD (recommended 30+)

Tools

  • Linux distribution running in a VM or bare metal

    • Ubuntu 18.04 or Debian 10 (VM or bare metal)

    • Install Docker​

    • ​Install kubectl on Linux

    • Open terminal and Install k3d on Linux using the below command

    wget -q -O - https://raw.githubusercontent.com/rancher/k3d/main/install.sh | bash

  • OSX or Mac

    brew install k3d

  • Windows 10 or above

    choco install k3d

Infra (Kubernetes Cluster) Creation

Once the above prerequisites are met, run the following tasks depending upon your OS.‌

  • login/ssh into the machine, go to terminal/command prompt and run the following commands as an admin user.

  • Create /Kube directory and change permission. To use this directory for persistent data mount. This means data from all container logs will be stored here.

 mkdir /kube
 chmod 777 /kube

 #if you are unable to create the /kube folder in the root
 # you can create it your user directory and provide the absolue path below

  • Create a cluster with a single master node and 2 agents (Worker Nodes) and mount the pre-created directory (for data persistence).

k3d cluster create --k3s-server-arg "--no-deploy=traefik" --agents 2 -v "/kube:/kube@agent[0,1]" -v "/kube:/kube@server[0]" --port "80:80@loadbalancer"

  • ‌When cluster creation is successful, get the kubeconfig file, that allows you to connect to the cluster at any time.

k3d kubeconfig get k3s-default > k3dconfig
kubectl config use-context k3d-k3s-default --kubeconfig=k3dconfig

  • Verify the Cluster creation by running the following commands from your local machine where the kubectl is installed. It gives you the sample output as below

root@ip:/# kubectl cluster-info

OutPut:
Kubernetes control plane is running at https://0.0.0.0:33931
CoreDNS is running at https://0.0.0.0:33931/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
Metrics-server is running at https://0.0.0.0:33931/api/v1/namespaces/kube-system/services/https:metrics-server:/proxy



root@ip:/# k3d cluster list
NAME          SERVERS   AGENTS   LOADBALANCER
k3s-default   1/1       2/2      true

  • You can verify the workers' nodes created by using the following command.

kubectl get nodes

Output:
NAME                       STATUS   ROLES                  AGE     VERSION
k3d-k3s-default-agent-0    Ready    <none>                 3d18h   v1.21.1+k3s1
k3d-k3s-default-agent-1    Ready    <none>                 3d18h   v1.21.1+k3s1
k3d-k3s-default-server-0   Ready    control-plane,master   3d18h   v1.21.1+k3s1


kubectl top nodes

Output:
W0625 07:56:24.588781   12810 top_node.go:119] Using json format to get metrics. Next release will switch to protocol-buffers, switch early by passing --use-protocol-buffers flag
NAME                       CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%   
k3d-k3s-default-agent-0    547m         6%     1505Mi          9%        
k3d-k3s-default-agent-1    40m          0%     2175Mi          13%       
k3d-k3s-default-server-0   59m          0%     2286Mi          14%

‌Once the above steps are completed successfully, your Cluster is now up and running ready to proceed with the DIGIT Deployment.‌

2. mGramSeva Setup

‌Now that we have the Infra setup to proceed with the DIGIT Deployment. Following are the tools that need to be installed on the machine before proceeding with the DIGIT Services deployment.‌

What we'll deploy in Quickstart:‌

  • mGramSeva core platform services

Prerequisites

  1. mGramSeva uses golang (required v1.13.3) automated scripts to deploy the builds on to Kubernetes - Linux or Windows or Mac​

  3. ​kubectl is a CLI to connect to the kubernetes cluster from your machine

  4. Install CURL for making API calls

  5. ​Install Visualstudio IDE Code for better code/configuration editing capabilities

  6. The mGramSeva services deployment configurations are in GitRepo which needs to install git and then git clone it to your local.

  7. ​Install Postman to run some DIGIT bootstrap scripts

root@ip:/# git clone -b quickstart https://github.com/misdwss/iFix-DevOps

‌After cloning the repo CD into the folder iFix-DevOps and type the "code ." command that will open the visual editor and opens all the files from the repo iFix-DevOps

root@ip:/# cd iFix-DevOps
root@ip:DIGIT-DevOps# code .

Check the sample deployment config file that needs to be configured as per any specific values according to your needs. (For a quick start you can run as it is)

https://github.com/misdwss/iFix-DevOps/blob/quickstart/deploy-as-code/helm/environments/quickstart-config.yaml

Add the following entries in your host file /etc/hosts depending on your OS, instructions can be found here.

127.0.0.1 quickstart.local.digit

‌3. Deployment

‌Once the prerequisite setup is complete, go to the following repo, run the command and follow the instructions.

root@ip:# cd iFix-DevOps/deploy-as-code/egov-deployer

root@ip:# go run mgramseva_setup.go

#Be prepared for the following questions
1. Do you have the Kubernetes Setup?
2. Provide the path of the intented env kubeconfig file
3. Which version of the DIGIT that you want to install - Choose "Quickstart"
4. What mGremSeva Modules that you choose to install
5. All, done, Now do you want to preview the deployment manifests 
6. Are you good to proceed with the DIGIT Installation

All Done.

‌You can now test the DIGIT application status in the command prompt/terminal by using the below command.

curl -Is http://quickstart.local.digit/employee/login |  head -n 1HTTP/2 200

PreviousInfrastructure SetupNextOn AWS

Last updated

All content on this page by eGov Foundation is licensed under a Creative Commons Attribution 4.0 International License.