diff --git a/docker-compose-production.yml b/docker-compose-production.yml
index fb0d4659e2..a050ce60ae 100644
--- a/docker-compose-production.yml
+++ b/docker-compose-production.yml
@@ -77,3 +77,80 @@ services:
       context: ./
       dockerfile: docker/prod/code-upload-worker/Dockerfile
 
+  prometheus:
+    hostname: prometheus
+    image: prom/prometheus:latest
+    user: "1000"
+    volumes:
+      - ./monitoring/prometheus/prometheus_production.yml:/etc/prometheus/prometheus.yml
+      - ./monitoring/prometheus/rules.yml:/etc/rules/rules.yml
+      - ./monitoring/prometheus/prometheus_db:/var/lib/prometheus
+      - ./monitoring/prometheus/prometheus_db:/prometheus
+      - ./monitoring/prometheus/prometheus_db:/etc/prometheus
+    command:
+      - '--config.file=/etc/prometheus/prometheus.yml'
+      - '--web.external-url=http://localhost:9090/prometheus'
+    ports:
+      - '9090:9090'
+
+  grafana:
+    hostname: grafana
+    image: grafana/grafana:latest
+    user: "1000"
+    env_file:
+      - docker/prod/docker_production.env
+    volumes:
+      - ./monitoring/grafana/grafana_db:/var/lib/grafana
+    depends_on:
+      - prometheus
+    ports:
+      - '3000:3000'
+
+  statsd-exporter:
+    hostname: statsd
+    image: prom/statsd-exporter:latest
+    command:
+      - '--log.level=info'
+      - '--web.telemetry-path=/statsd/metrics'
+    ports:
+      - '9125:9125/udp'
+      - '9125:9125/tcp'
+      - '9102:9102'
+  
+  node_exporter:
+    hostname: node_exporter
+    image: prom/node-exporter
+    ports:
+      - '9100:9100'
+  
+  nginx-ingress:
+    image: ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/evalai-production-nginx-ingress:${COMMIT_ID}
+    build:
+      context: ./
+      dockerfile: docker/prod/nginx-ingress/Dockerfile
+      args:
+        MONITORING_ENV: production
+    depends_on: 
+      - prometheus
+      - grafana
+      - statsd-exporter
+      - alert-manager
+    ports:
+      - '80:80'
+      - '443:443'
+    
+  alert-manager:
+    hostname: alert_manager
+    image: prom/alertmanager
+    user: "1000"
+    volumes:
+      - ./monitoring/prometheus:/prometheus
+      - ./monitoring/alertmanager/data:/data
+      - ./monitoring/alertmanager/templates:/etc/alertmanager/templates
+    command:
+      - '--config.file=/prometheus/alert_manager.yml'
+      - '--storage.path=/data'
+      - '--web.external-url=http://localhost:9093/alert_manager'
+    ports:
+      - '9093:9093'
+
diff --git a/docker/prod/nginx-ingress/nginx_production.conf b/docker/prod/nginx-ingress/nginx_production.conf
new file mode 100644
index 0000000000..0f3c2c5519
--- /dev/null
+++ b/docker/prod/nginx-ingress/nginx_production.conf
@@ -0,0 +1,68 @@
+upstream prometheus {
+  server prometheus:9090 fail_timeout=0;
+}
+
+upstream grafana {
+  server grafana:3000 fail_timeout=0;
+}
+
+upstream statsd_exporter {
+  server statsd:9102 fail_timeout=0;
+}
+
+upstream alert_manager {
+  server alert_manager:9093 fail_timeout=0;
+}
+
+server {
+  server_name monitoring.eval.ai;
+  listen 80;
+  return 301 https://monitoring.eval.ai$request_uri;
+}
+
+server {
+  server_name monitoring.eval.ai;
+  listen 443 ssl;
+  location / {
+    root /usr/share/nginx/html;
+    index index.html index.htm;
+  }
+
+  ssl on;
+  ssl_certificate /etc/ssl/eval_ai.crt;
+  ssl_certificate_key /etc/ssl/eval_ai.key;
+  ssl_prefer_server_ciphers on;
+  # enables all versions of TLS, but not SSLv2 or 3 which are weak and now deprecated.
+  ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
+
+  access_log /var/log/nginx/access.log;
+  error_log /var/log/nginx/error.log;
+
+  location /prometheus {
+    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    proxy_set_header Host $host;
+    proxy_set_header X-Forwarded-Proto $scheme;
+    proxy_pass http://prometheus;
+  }
+
+  location /grafana {
+    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    proxy_set_header Host $host;
+    proxy_set_header X-Forwarded-Proto $scheme;
+    proxy_pass http://grafana;
+  }
+
+  location /statsd {
+    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    proxy_set_header Host $host;
+    proxy_set_header X-Forwarded-Proto $scheme;
+    proxy_pass http://statsd_exporter;
+  }
+  
+  location /alert_manager {
+    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    proxy_set_header Host $host;
+    proxy_set_header X-Forwarded-Proto $scheme;
+    proxy_pass http://alert_manager;
+  }
+}
diff --git a/scripts/deployment/deploy.sh b/scripts/deployment/deploy.sh
index b56aa606ac..659448737c 100755
--- a/scripts/deployment/deploy.sh
+++ b/scripts/deployment/deploy.sh
@@ -4,41 +4,41 @@ set -e
 opt=${1}
 
 aws_login() {
-    aws configure set default.region us-east-1
-    eval $(aws ecr get-login --no-include-email)
+	aws configure set default.region us-east-1
+	eval $(aws ecr get-login --no-include-email)
 }
 
 if [ -z ${AWS_ACCOUNT_ID} ]; then
-    echo "AWS_ACCOUNT_ID not set."
-    exit 0
+	echo "AWS_ACCOUNT_ID not set."
+	exit 0
 fi
 
 if [ -z ${COMMIT_ID} ]; then
-    export COMMIT_ID="latest"
+	export COMMIT_ID="latest"
 fi
 
 if [ -z ${TRAVIS_BRANCH} ]; then
-    echo "Please set the TRAVIS_BRANCH first."
+	echo "Please set the TRAVIS_BRANCH first."
 fi
 
 env=${TRAVIS_BRANCH}
 JUMPBOX=${JUMPBOX_INSTANCE}
 
 if [[ ${env} == "production" ]]; then
-    INSTANCE=${PRODUCTION_INSTANCE}
-    MONITORING_INSTANCE=${PRODUCTION_MONITORING_INSTANCE}
+	INSTANCE=${PRODUCTION_INSTANCE}
+	MONITORING_INSTANCE=${PRODUCTION_MONITORING_INSTANCE}
 elif [[ ${env} == "staging" ]]; then
-    INSTANCE=${STAGING_INSTANCE}
-    MONITORING_INSTANCE=${STAGING_MONITORING_INSTANCE}
+	INSTANCE=${STAGING_INSTANCE}
+	MONITORING_INSTANCE=${STAGING_MONITORING_INSTANCE}
 else
-    echo "Skipping deployment since commit not on staging or production branch."
-    exit 0
+	echo "Skipping deployment since commit not on staging or production branch."
+	exit 0
 fi
 
 case $opt in
-        auto_deploy)
-            chmod 400 scripts/deployment/evalai.pem
-            ssh-add scripts/deployment/evalai.pem
+		auto_deploy)
+			chmod 400 scripts/deployment/evalai.pem
+			ssh-add scripts/deployment/evalai.pem
 			ssh -A ubuntu@${JUMPBOX} -o StrictHostKeyChecking=no INSTANCE=${INSTANCE} MONITORING_INSTANCE=${MONITORING_INSTANCE} AWS_ACCOUNT_ID=${AWS_ACCOUNT_ID} COMMIT_ID=${COMMIT_ID} env=${env} 'bash -s' <<-'ENDSSH'
 				ssh ubuntu@${INSTANCE} -o StrictHostKeyChecking=no AWS_ACCOUNT_ID=${AWS_ACCOUNT_ID} COMMIT_ID=${COMMIT_ID} env=${env} 'bash -s' <<-'ENDSSH2'
 					source venv/bin/activate
@@ -49,182 +49,182 @@ case $opt in
 					eval $(aws ecr get-login --no-include-email)
 					aws s3 cp s3://cloudcv-secrets/evalai/${env}/docker_${env}.env ./docker/prod/docker_${env}.env
 					docker-compose -f docker-compose-${env}.yml rm -s -v -f
-					docker-compose -f docker-compose-${env}.yml pull django nodejs celery
-					docker-compose -f docker-compose-${env}.yml up -d --force-recreate --remove-orphans django nodejs nodejs_v2 celery
+					docker-compose -f docker-compose-${env}.yml pull django nodejs celery node_exporter
+					docker-compose -f docker-compose-${env}.yml up -d --force-recreate --remove-orphans django nodejs nodejs_v2 node_exporter celery
 				ENDSSH2
 				ssh ubuntu@${MONITORING_INSTANCE} -o StrictHostKeyChecking=no AWS_ACCOUNT_ID=${AWS_ACCOUNT_ID} COMMIT_ID=${COMMIT_ID} env=${env} 'bash -s' <<-'ENDSSH2'
 					source venv/bin/activate
-                    			cd ~/Projects/EvalAI
+					cd ~/Projects/EvalAI
 					export AWS_ACCOUNT_ID=${AWS_ACCOUNT_ID}
 					export COMMIT_ID=${COMMIT_ID}
 					export AWS_DEFAULT_REGION=us-east-1
 					eval $(aws ecr get-login --no-include-email)
 					aws s3 cp s3://cloudcv-secrets/evalai/${env}/docker_${env}.env ./docker/prod/docker_${env}.env
-                    			aws s3 cp s3://cloudcv-secrets/evalai/${env}/alert_manager.yml ./monitoring/prometheus/alert_manager.yml
+								aws s3 cp s3://cloudcv-secrets/evalai/${env}/alert_manager.yml ./monitoring/prometheus/alert_manager.yml
 					docker-compose -f docker-compose-${env}.yml rm -s -v -f
 					docker-compose -f docker-compose-${env}.yml pull nginx-ingress prometheus grafana statsd-exporter alert-manager
 					docker-compose -f docker-compose-${env}.yml up -d --force-recreate --remove-orphans nginx-ingress prometheus grafana statsd-exporter alert-manager
 				ENDSSH2
 			ENDSSH
-            ;;
-        pull)
-            aws_login;
-            echo "Pulling environment variables file..."
-            aws s3 cp s3://cloudcv-secrets/evalai/${env}/docker_${env}.env ./docker/prod/docker_${env}.env
-            echo "Environment varibles file successfully downloaded."
-            echo "Pulling docker images from ECR..."
-            docker-compose -f docker-compose-${env}.yml pull
-            echo "Completed Pull operation."
-            ;;
-        deploy-django)
-            echo "Deploying django docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d django
-            echo "Completed deploy operation."
-            ;;
-        deploy-nodejs)
-            echo "Deploying nodejs docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d nodejs
-            echo "Completed deploy operation."
-            ;;
-        deploy-nodejs-v2)
-            echo "Deploying new frontend docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d nodejs_v2
-            echo "Completed deploy operation."
-            ;;
-        deploy-celery)
-            echo "Deploying celery docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d celery
-            echo "Completed deploy operation."
-            ;;
-        deploy-worker)
-            token=${3}
-            challenge=${4}
-            if [ -z "$4" ]; then
-               echo "Please input Challenge ID"
-               exit 0
-            fi
-            echo "Pulling queue name for $env server challenge..."
-            if [ ${env} == "staging" ]; then
-                queue_name=$(curl -k -L -X GET -H "Authorization: Token $token" https://staging.eval.ai/api/challenges/get_broker_url/$challenge/)
-            elif [ ${env} == "production" ]; then
-                queue_name=$(curl -k -L -X GET -H "Authorization: Token $token" https://eval.ai/api/challenges/get_broker_url/$challenge/)
-            fi
-            echo "Completed pulling Queue name"
-            # preprocess the python list to bash array
-            queue_name=($(echo ${queue_name//,/ } | tr -d '[]'))
-            queue=$(echo $queue_name | tr -d '"')
-            echo "Deploying worker for queue: " $queue
-            docker-compose -f docker-compose-${env}.yml run --name=worker_${queue} -e CHALLENGE_QUEUE=$queue -e CHALLENGE_PK=$challenge -d worker
-            echo "Deployed worker docker container for queue: " $queue
-            ;;
-        deploy-remote-worker)
-            token=${3}
-            broker_url=${4}
-            if [ -z "$3" ]; then
-               echo "Please input Auth Token"
-               exit 0
-            fi
-            if [ -z "$4" ]; then
-               echo "Please input Broker URL"
-               exit 0
-            fi
-            echo "Deploying worker for queue: " $queue
-            docker-compose -f docker-compose-${env}.yml run --name=remote_worker_${queue} -e QUEUE_NAME=$queue -e AUTH_TOKEN=$token -d worker
-            echo "Deployed worker docker container for queue: " $queue
-            ;;
-        deploy-workers)
-            token=${3}
-            echo "Pulling queue names for $env server challenges..."
-            if [ ${env} == "staging" ]; then
-                queue_names=$(curl -k -L -X GET -H "Authorization: Token $token" https://staging.eval.ai/api/challenges/get_broker_urls/)
-            elif [ ${env} == "production" ]; then
-                queue_names=$(curl -k -L -X GET -H "Authorization: Token $token" https://eval.ai/api/challenges/get_broker_urls/)
-            fi
-            echo "Completed pulling Queue list"
-            # preprocess the python list to bash array
-            queue_names=($(echo ${queue_names//,/ } | tr -d '[]'))
-            for queue_name in "${queue_names[@]}"
-            do
-                queue=$(echo $queue_name | tr -d '"')
-                echo "Deploying worker for queue: " $queue
-                docker-compose -f docker-compose-${env}.yml run --name=worker_${queue} -e CHALLENGE_QUEUE=$queue -d worker
-                echo "Deployed worker docker container for queue: " $queue
-             done
-            ;;
-        deploy-prometheus)
-            echo "Deploying prometheus docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d prometheus
-            echo "Completed deploy operation."
-            ;;
-        deploy-grafana)
-            echo "Deploying grafana docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d grafana
-            echo "Completed deploy operation."
-            ;;
-        deploy-statsd)
-            echo "Deploying statsd docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d statsd-exporter
-            echo "Completed deploy operation."
-            ;;
-        deploy-node-exporter)
-            echo "Deploying node_exporter docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d node_exporter
-            echo "Completed deploy operation."
-            ;;
-        deploy-alert-manager)
-            echo "Deploying alertmanager docker container..."
-            docker-compose -f docker-compose-${env}.yml up -d alert-manager
-            echo "Completed deploy operation."
-            ;;
-        scale)
-            service=${3}
-            instances=${4}
-            echo "Scaling the containers..."
-            docker-compose -f docker-compose-${env}.yml scale ${service}=${instances}
-            ;;
-        clean)
-            {
-                docker-compose -f docker-compose-${env}.yml rm -s -v -f
-            } || {
-                echo "Delete operation skipped since no container or image found!"
-            }
-            docker rmi $(docker images -a -q)
-            echo "Sucessfully cleaned all the images."
-            ;;
-        *)
-        echo "EvalAI deployment utility script"
-        echo " Usage: $0 {pull|deploy|scale|clean}"
-        echo
-        echo "    auto_deploy : Deploy staging or production branch to staging or production server respectively."
-        echo "        Eg. ./scripts/deployment/deploy.sh auto_deploy"
-        echo "    pull : Pull docker images from ECR."
-        echo "        Eg. ./scripts/deployment/deploy.sh pull production"
-        echo "    deploy-django : Deploy django containers in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-django production"
-        echo "    deploy-nodejs : Deploy nodejs containers in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-nodejs production"
-        echo "    deploy-nodejs-v2 : Deploy new frontend container in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-nodejs-v2 production"
-        echo "    deploy-celery : Deploy celery containers in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-celery production"
-        echo "    deploy-worker : Deploy worker container for a challenge using challenge pk."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-worker production <superuser_auth_token> <challenge_pk>"
-        echo "    deploy-remote-worker : Deploy remote worker container for a challenge using host auth token and challenge queue name."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-remote-worker production <auth_token> <queue_name>"   
-        echo "    deploy-workers : Deploy worker containers in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy production <superuser_auth_token>"
-        echo "    deploy-prometheus : Deploy prometheus container in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-prometheus production"
-        echo "    deploy-grafana : Deploy grafana container in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-grafana production"
-        echo "    deploy-statsd : Deploy statsd container in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-statsd production"
-        echo "    deploy-node-exporter : Deploy node_exporter container in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-node-exporter production"
-        echo "    deploy-alert-manager : Deploy alertmanager container in the respective environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh deploy-alert-manager production"
-        echo "    scale  : Scale particular docker service in an environment."
-        echo "        Eg. ./scripts/deployment/deploy.sh scale production django 5"
-        echo "    clean  : Remove all docker containers and images."
-        echo "        Eg. ./scripts/deployment/deploy.sh clean production"
+			;;
+		pull)
+			aws_login;
+			echo "Pulling environment variables file..."
+			aws s3 cp s3://cloudcv-secrets/evalai/${env}/docker_${env}.env ./docker/prod/docker_${env}.env
+			echo "Environment varibles file successfully downloaded."
+			echo "Pulling docker images from ECR..."
+			docker-compose -f docker-compose-${env}.yml pull
+			echo "Completed Pull operation."
+			;;
+		deploy-django)
+			echo "Deploying django docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d django
+			echo "Completed deploy operation."
+			;;
+		deploy-nodejs)
+			echo "Deploying nodejs docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d nodejs
+			echo "Completed deploy operation."
+			;;
+		deploy-nodejs-v2)
+			echo "Deploying new frontend docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d nodejs_v2
+			echo "Completed deploy operation."
+			;;
+		deploy-celery)
+			echo "Deploying celery docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d celery
+			echo "Completed deploy operation."
+			;;
+		deploy-worker)
+			token=${3}
+			challenge=${4}
+			if [ -z "$4" ]; then
+			   echo "Please input Challenge ID"
+			   exit 0
+			fi
+			echo "Pulling queue name for $env server challenge..."
+			if [ ${env} == "staging" ]; then
+				queue_name=$(curl -k -L -X GET -H "Authorization: Token $token" https://staging.eval.ai/api/challenges/get_broker_url/$challenge/)
+			elif [ ${env} == "production" ]; then
+				queue_name=$(curl -k -L -X GET -H "Authorization: Token $token" https://eval.ai/api/challenges/get_broker_url/$challenge/)
+			fi
+			echo "Completed pulling Queue name"
+			# preprocess the python list to bash array
+			queue_name=($(echo ${queue_name//,/ } | tr -d '[]'))
+			queue=$(echo $queue_name | tr -d '"')
+			echo "Deploying worker for queue: " $queue
+			docker-compose -f docker-compose-${env}.yml run --name=worker_${queue} -e CHALLENGE_QUEUE=$queue -e CHALLENGE_PK=$challenge -d worker
+			echo "Deployed worker docker container for queue: " $queue
+			;;
+		deploy-remote-worker)
+			token=${3}
+			broker_url=${4}
+			if [ -z "$3" ]; then
+			   echo "Please input Auth Token"
+			   exit 0
+			fi
+			if [ -z "$4" ]; then
+			   echo "Please input Broker URL"
+			   exit 0
+			fi
+			echo "Deploying worker for queue: " $queue
+			docker-compose -f docker-compose-${env}.yml run --name=remote_worker_${queue} -e QUEUE_NAME=$queue -e AUTH_TOKEN=$token -d worker
+			echo "Deployed worker docker container for queue: " $queue
+			;;
+		deploy-workers)
+			token=${3}
+			echo "Pulling queue names for $env server challenges..."
+			if [ ${env} == "staging" ]; then
+				queue_names=$(curl -k -L -X GET -H "Authorization: Token $token" https://staging.eval.ai/api/challenges/get_broker_urls/)
+			elif [ ${env} == "production" ]; then
+				queue_names=$(curl -k -L -X GET -H "Authorization: Token $token" https://eval.ai/api/challenges/get_broker_urls/)
+			fi
+			echo "Completed pulling Queue list"
+			# preprocess the python list to bash array
+			queue_names=($(echo ${queue_names//,/ } | tr -d '[]'))
+			for queue_name in "${queue_names[@]}"
+			do
+				queue=$(echo $queue_name | tr -d '"')
+				echo "Deploying worker for queue: " $queue
+				docker-compose -f docker-compose-${env}.yml run --name=worker_${queue} -e CHALLENGE_QUEUE=$queue -d worker
+				echo "Deployed worker docker container for queue: " $queue
+			 done
+			;;
+		deploy-prometheus)
+			echo "Deploying prometheus docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d prometheus
+			echo "Completed deploy operation."
+			;;
+		deploy-grafana)
+			echo "Deploying grafana docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d grafana
+			echo "Completed deploy operation."
+			;;
+		deploy-statsd)
+			echo "Deploying statsd docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d statsd-exporter
+			echo "Completed deploy operation."
+			;;
+		deploy-node-exporter)
+			echo "Deploying node_exporter docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d node_exporter
+			echo "Completed deploy operation."
+			;;
+		deploy-alert-manager)
+			echo "Deploying alertmanager docker container..."
+			docker-compose -f docker-compose-${env}.yml up -d alert-manager
+			echo "Completed deploy operation."
+			;;
+		scale)
+			service=${3}
+			instances=${4}
+			echo "Scaling the containers..."
+			docker-compose -f docker-compose-${env}.yml scale ${service}=${instances}
+			;;
+		clean)
+			{
+				docker-compose -f docker-compose-${env}.yml rm -s -v -f
+			} || {
+				echo "Delete operation skipped since no container or image found!"
+			}
+			docker rmi $(docker images -a -q)
+			echo "Sucessfully cleaned all the images."
+			;;
+		*)
+		echo "EvalAI deployment utility script"
+		echo " Usage: $0 {pull|deploy|scale|clean}"
+		echo
+		echo "    auto_deploy : Deploy staging or production branch to staging or production server respectively."
+		echo "        Eg. ./scripts/deployment/deploy.sh auto_deploy"
+		echo "    pull : Pull docker images from ECR."
+		echo "        Eg. ./scripts/deployment/deploy.sh pull production"
+		echo "    deploy-django : Deploy django containers in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-django production"
+		echo "    deploy-nodejs : Deploy nodejs containers in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-nodejs production"
+		echo "    deploy-nodejs-v2 : Deploy new frontend container in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-nodejs-v2 production"
+		echo "    deploy-celery : Deploy celery containers in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-celery production"
+		echo "    deploy-worker : Deploy worker container for a challenge using challenge pk."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-worker production <superuser_auth_token> <challenge_pk>"
+		echo "    deploy-remote-worker : Deploy remote worker container for a challenge using host auth token and challenge queue name."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-remote-worker production <auth_token> <queue_name>"   
+		echo "    deploy-workers : Deploy worker containers in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy production <superuser_auth_token>"
+		echo "    deploy-prometheus : Deploy prometheus container in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-prometheus production"
+		echo "    deploy-grafana : Deploy grafana container in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-grafana production"
+		echo "    deploy-statsd : Deploy statsd container in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-statsd production"
+		echo "    deploy-node-exporter : Deploy node_exporter container in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-node-exporter production"
+		echo "    deploy-alert-manager : Deploy alertmanager container in the respective environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh deploy-alert-manager production"
+		echo "    scale  : Scale particular docker service in an environment."
+		echo "        Eg. ./scripts/deployment/deploy.sh scale production django 5"
+		echo "    clean  : Remove all docker containers and images."
+		echo "        Eg. ./scripts/deployment/deploy.sh clean production"
 esac