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Microservices setup using AWS EKS

This guide will help you to setup ThingsBoard in microservices mode using AWS EKS. See microservices architecture page for more details about each component that will be installed. We will use Amazon RDS for managed PostgreSQL, Amazon MSK for managed Kafka and Amazon ElastiCache for managed Redis.

Prerequisites

Install and configure tools

To deploy ThingsBoard on EKS cluster you’ll need to install kubectl, eksctl and awscli tools.

Afterwards you need to configure Access Key, Secret Key and default region. To get Access and Secret keys please follow this guide. The default region should be the ID of the region where you’d like to deploy the cluster.

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aws configure

Step 1. Clone ThingsBoard CE K8S scripts repository

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git clone -b release-3.8.1 https://github.com/thingsboard/thingsboard-ce-k8s.git
cd thingsboard-ce-k8s/aws/microservices

Step 2. Configure and create EKS cluster

In the cluster.yml file you can find suggested cluster configuration. Here are the fields you can change depending on your needs:

  • region - should be the AWS region where you want your cluster to be located (the default value is us-east-1)
  • availabilityZones - should specify the exact IDs of the region’s availability zones (the default value is [us-east-1a,us-east-1b,us-east-1c])
  • instanceType - the type of the instance with TB node (the default value is m5.xlarge)

Note: if you don’t make any changes to instanceType and desiredCapacity fields, the EKS will deploy 3 nodes of type m5.xlarge.

Doc info icon

The following command will create new VPC for your ThingsBoard cluster. This guide assumes you will create new VPC. Although it is fine to use existing VPC and subnets as well. You can find more information about configuring VPC for eksctl here.

Command to create AWS cluster:

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eksctl create cluster -f cluster.yml

Step 3. Create AWS load-balancer controller

Once the cluster is ready you must create AWS load-balancer controller. You can do it by following this guide. The cluster provisioning scripts will create several load balancers:

  • “tb-http-loadbalancer” - AWS ALB that is responsible for the web UI, REST API and HTTP transport;
  • “tb-mqtt-loadbalancer” - AWS NLB that is responsible for the MQTT transport;
  • “tb-coap-loadbalancer” - AWS NLB that is responsible for the CoAP transport;
  • “tb-edge-loadbalancer” - AWS NLB that is responsible for the Edge instances connectivity;

Provisioning of the AWS load-balancer controller is a very important step that is required for those load balancers to work properly.

Step 4. Provision Databases

Step 4.1 Amazon PostgreSQL DB Configuration

You’ll need to set up PostgreSQL on Amazon RDS. ThingsBoard will use it as a main database to store devices, dashboards, rule chains and device telemetry. You may follow this guide, but take into account the following requirements:

  • Keep your postgresql password in a safe place. We will refer to it later in this guide using YOUR_RDS_PASSWORD.
  • Make sure your PostgreSQL version is latest 16.x;
  • Make sure your PostgreSQL RDS instance is accessible from the ThingsBoard cluster; The easiest way to achieve this is to deploy the PostgreSQL RDS instance in the same VPC and use ‘eksctl-thingsboard-cluster-ClusterSharedNodeSecurityGroup-*’ security group. We assume you locate it in the same VPC in this guide;
  • Make sure you use “thingsboard” as initial database name. If you do not specify a database name, Amazon RDS does not create a database;

And recommendations:

  • Use ‘Production’ template for high availability. It enables a lot of useful settings by default;
  • Use ‘Provisioned IOPS’ for better performance;
  • Consider creation of custom parameters group for your RDS instance. It will make change of DB parameters easier;
  • Consider deployment of the RDS instance into private subnets. This way it will be nearly impossible to accidentally expose it to the internet.
Make sure your PostgreSQL version is latest 16.x.
Make sure your PostgreSQL version is latest 16.x.
Keep your PostgreSQL master password in a safe place. We will refer to it later in this guide using YOUR_RDS_PASSWORD.
Keep your PostgreSQL master password in a safe place. We will refer to it later in this guide using YOUR_RDS_PASSWORD.
Use "Provisioned IOPS" for better performance.
Use "Provisioned IOPS" for better performance.
Make sure your PostgreSQL RDS instance is accessible from the ThingsBoard cluster; The easiest way to achieve this is to deploy the PostgreSQL RDS instance in the same VPC and use "eksctl-thingsboard-cluster-ClusterSharedNodeSecurityGroup-" security group.
Make sure your PostgreSQL RDS instance is accessible from the ThingsBoard cluster; The easiest way to achieve this is to deploy the PostgreSQL RDS instance in the same VPC and use "eksctl-thingsboard-cluster-ClusterSharedNodeSecurityGroup-*" security group.
Make sure you use "thingsboard" as initial database name.
Make sure you use "thingsboard" as initial database name.
Disable "auto minor version update".
Disable "auto minor version update".

Once the database switch to the ‘Available’ state, navigate to the ‘Connectivity and Security’ and copy the endpoint value.

Once the database switch to the "Available" state, navigate to the "Connectivity and Security" and copy the endpoint value. We will refer to it later in this guide using YOUR_RDS_ENDPOINT_URL.
Once the database switch to the "Available" state, navigate to the "Connectivity and Security" and copy the endpoint value. We will refer to it later in this guide using **YOUR_RDS_ENDPOINT_URL**.

Edit “tb-node-db-configmap.yml” and replace YOUR_RDS_ENDPOINT_URL and YOUR_RDS_PASSWORD.

Step 4.2 Cassandra

Using Cassandra is an optional step. We recommend to use Cassandra if you plan to insert more than 5K data points per second or would like to optimize storage space.

Provision additional node groups

Provision additional node groups that will be hosting Cassandra instances. You may change the machine type. At least 4 vCPUs and 16GB of RAM is recommended.

We will create 3 separate node pools with 1 node per zone. Since we plan to use ebs disks, we don’t want k8s to launch a pod in the zone where the corresponding disk is not available. Those zones will have the same node label. We will use this label to target deployment of our stateful set.

Deploy 3 nodes of type m5.xlarge in different zones. You may change the zones to correspond to your region:

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eksctl create nodegroup --config-file=<path> --include='cassandra-*'
Deploy Cassandra stateful set

Create ThingsBoard namespace:

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kubectl apply -f tb-namespace.yml
kubectl config set-context $(kubectl config current-context) --namespace=thingsboard

Deploy Cassandra to new node groups:

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kubectl apply -f receipts/cassandra.yml

The startup of Cassandra cluster may take few minutes. You may monitor the process using:

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kubectl get pods
Update DB settings

Edit the ThingsBoard DB settings file and add Cassandra settings. Don’t forget to replace YOUR_AWS_REGION with the name of your AWS region.

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echo "  DATABASE_TS_TYPE: cassandra" >> tb-node-db-configmap.yml
echo "  CASSANDRA_URL: cassandra:9042" >> tb-node-db-configmap.yml
echo "  CASSANDRA_LOCAL_DATACENTER: YOUR_AWS_REGION"  >> tb-node-db-configmap.yml

Check that the settings are updated:

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cat tb-node-db-configmap.yml | grep DATABASE_TS_TYPE

Expected output:

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  DATABASE_TS_TYPE: cassandra
Create keyspace

Create thingsboard keyspace using following command:

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    kubectl exec -it cassandra-0 -- bash -c "cqlsh -e \
                    \"CREATE KEYSPACE IF NOT EXISTS thingsboard \
                    WITH replication = { \
                        'class' : 'NetworkTopologyStrategy', \
                        'us-east' : '3' \
                    };\""

Step 5. Amazon MSK Configuration

You’ll need to set up Kafka using Amazon MSK. ThingsBoard will use it to communicate between microservices, store unprocessed messages, etc. Kafka is useful to survive peak loads and hardware failures to make sure that all messages from devices will be processed.

Please open AWS console and navigate to MSK, press Create cluster button and choose Custom create mode.

  • Make sure your Apache Kafka version is 3.7.x;
  • Make sure your MSK instance is accessible from the ThingsBoard cluster. The easiest way to achieve this is to deploy the MSK instance in the same VPC. We also recommend to use private subnets. This way it will be nearly impossible to accidentally expose it to the internet;
  • Use m5.large or similar instance types;
  • Choose default security settings. Make sure ‘Plaintext’ mode is enabled;
  • Use default ‘Monitoring’ settings or enable ‘Enhenced topic level monitoring’.
Make sure your Apache Kafka version is 3.7.x.
Make sure your Apache Kafka version is 3.7.x.
Make sure your MSK instance is accessible from the ThingsBoard cluster. The easiest way to achieve this is to deploy the MSK instance in the same VPC. We also recommend to use private subnets. This way it will be nearly impossible to accidentally expose it to the internet.
Make sure your MSK instance is accessible from the ThingsBoard cluster. The easiest way to achieve this is to deploy the MSK instance in the same VPC. We also recommend to use private subnets. This way it will be nearly impossible to accidentally expose it to the internet.
Use m5.large or similar instance types.
Use m5.large or similar instance types.
Choose default security settings. Make sure "Plaintext" mode is enabled.
Choose default security settings. Make sure "Plaintext" mode is enabled.
Use default "Monitoring" settings or enable "Enhenced topic level monitoring".
Use default "Monitoring" settings or enable "Enhenced topic level monitoring".

Once the MSK cluster switch to the ‘Active’ state, navigate to ‘Details’ and click ‘View client information’. Copy bootstrap server information in plaintext, it`s YOUR_MSK_BOOTSTRAP_SERVERS_PLAINTEXT.

Once the MSK cluster switch to the "Active" state, navigate to "Details" and click "View client information".
Once the MSK cluster switch to the "Active" state, navigate to "Details" and click "View client information".
Copy bootstrap server information in plaintext. We will refer to it later in this guide using YOUR_MSK_BOOTSTRAP_SERVERS_PLAINTEXT.
Copy bootstrap server information in plaintext. We will refer to it later in this guide using **YOUR_MSK_BOOTSTRAP_SERVERS_PLAINTEXT**.

Edit “tb-kafka-configmap.yml” and replace YOUR_MSK_BOOTSTRAP_SERVERS_PLAINTEXT.

Step 6. Amazon ElastiCache (Redis) Configuration

You’ll need to set up Amazon ElastiCache (Redis). ThingsBoard uses cache to improve performance and avoid frequent DB reads.

Please open AWS console and navigate to ElastiCache->Redis->Create.

  • Specify Redis Engine version 7.x and node type with at least 1 GB of RAM;
  • Make sure your Redis cluster is accessible from the ThingsBoard cluster. The easiest way to achieve this is to deploy the Redis cluster in the same VPC. We also recommend to use private subnets. Use “eksctl-thingsboard-cluster-ClusterSharedNodeSecurityGroup-*” security group;
  • Disable automatic backups.
Specify Redis Engine version 7.x and node type with at least 1 GB of RAM.
Specify Redis Engine version 7.x and node type with at least 1 GB of RAM.
Make sure your Redis cluster is accessible from the ThingsBoard cluster. The easiest way to achieve this is to deploy the Redis cluster in the same VPC. We also recommend to use private subnets. Use "eksctl-thingsboard-cluster-ClusterSharedNodeSecurityGroup-" security group.
Make sure your Redis cluster is accessible from the ThingsBoard cluster. The easiest way to achieve this is to deploy the Redis cluster in the same VPC. We also recommend to use private subnets. Use "eksctl-thingsboard-cluster-ClusterSharedNodeSecurityGroup-*" security group.
Disable automatic backups.
Disable automatic backups.

Once the Redis cluster switch to the ‘Available’ state, navigate to ‘Details’ and copy ‘Primary Endpoint’ without ‘:6379’ port sufix, it`s YOUR_REDIS_ENDPOINT_URL_WITHOUT_PORT.

Once the Redis cluster switch to the "Available" state, navigate to "Details" and copy "Primary Endpoint" without ":6379" port sufix. We will refer to it later in this guide using YOUR_REDIS_ENDPOINT_URL_WITHOUT_PORT.
Once the Redis cluster switch to the "Available" state, navigate to "Details" and copy "Primary Endpoint" without ":6379" port sufix. We will refer to it later in this guide using **YOUR_REDIS_ENDPOINT_URL_WITHOUT_PORT**.

Edit “tb-redis-configmap.yml” and replace YOUR_REDIS_ENDPOINT_URL_WITHOUT_PORT.

Step 7. CPU and Memory resources allocation

The scripts have preconfigured values of resources for each service. You can change them in .yml files under resources submenu.

Note: if you want to allocate more resources you’ll need to increase the number of Amazon nodes or use larger machines.

Recommended CPU/memory resources allocation:

  • TB Node: 1.0 CPU / 2Gi memory
  • TB HTTP Transport: 0.5 CPU / 0.5Gi memory
  • TB MQTT Transport: 0.5 CPU / 0.5Gi memory
  • TB COAP Transport: 0.5 CPU / 0.5Gi memory
  • TB Web UI: 0.1 CPU / 100Mi memory
  • JS Executor: 0.1 CPU / 100Mi memory
  • Zookeeper: 0.1 CPU / 0.5Gi memory

Step 8. Installation

Execute the following command to run the initial setup of the database. This command will launch short-living ThingsBoard pod to provision necessary DB tables, indexes, etc

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 ./k8s-install-tb.sh --loadDemo

Where:

  • --loadDemo - optional argument. Whether to load additional demo data.

After this command finish you should see the next line in the console:

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Installation finished successfully!
Doc info icon

Otherwise, please check if you set the PostgreSQL URL and PostgreSQL password in the tb-node-db-configmap.yml correctly.

Step 9. Starting

Execute the following command to deploy ThingsBoard services:

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 ./k8s-deploy-resources.sh

After few minutes you may call kubectl get pods. If everything went fine, you should be able to see:

  • 5x tb-pe-js-executor
  • 2x tb-pe-web-ui
  • 1x tb-pe-node
  • 1x tb-pe-web-report
  • 3x zookeeper.

Every pod should be in the READY state.

You should also deploy the transport microservices. Omit the protocols that you don’t use in order to save resources:

HTTP Transport (optional)
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kubectl apply -f transports/tb-http-transport.yml
MQTT transport (optional)
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kubectl apply -f transports/tb-mqtt-transport.yml
CoAP transport (optional)
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kubectl apply -f transports/tb-coap-transport.yml
LwM2M transport (optional)
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kubectl apply -f transports/tb-lwm2m-transport.yml
SNMP transport (optional)
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kubectl apply -f transports/tb-snmp-transport.yml

Step 10. Configure Load Balancers

10.1 Configure HTTP(S) Load Balancer

Configure HTTP(S) Load Balancer to access web interface of your ThingsBoard instance. Basically you have 2 possible options of configuration:

  • http - Load Balancer without HTTPS support. Recommended for development. The only advantage is simple configuration and minimum costs. May be good option for development server but definitely not suitable for production.
  • https - Load Balancer with HTTPS support. Recommended for production. Acts as an SSL termination point. You may easily configure it to issue and maintain a valid SSL certificate. Automatically redirects all non-secure (HTTP) traffic to secure (HTTPS) port.

See links/instructions below on how to configure each of the suggested options.

HTTP Load Balancer

Execute the following command to deploy plain http load balancer:

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kubectl apply -f receipts/http-load-balancer.yml

The process of load balancer provisioning may take some time. You may periodically check the status of the load balancer using the following command:

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kubectl get ingress

Once provisioned, you should see similar output:

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NAME                   CLASS    HOSTS   ADDRESS         PORTS   AGE
tb-http-loadbalancer   <none>   *       34.111.24.134   80      7m25s

Now, you may use the address (the one you see instead of 34.111.24.134 in the command output) to access HTTP web UI (port 80) and connect your devices via HTTP API Use the following default credentials:

HTTPS Load Balancer

Use AWS Certificate Manager to create or import SSL certificate. Note your certificate ARN.

Edit the load balancer configuration and replace YOUR_HTTPS_CERTIFICATE_ARN with your certificate ARN:

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nano receipts/https-load-balancer.yml

Execute the following command to deploy plain https load balancer:

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kubectl apply -f receipts/https-load-balancer.yml

10.2. Configure MQTT Load Balancer (Optional)

Configure MQTT load balancer if you plan to use MQTT protocol to connect devices.

Create TCP load balancer using following command:

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kubectl apply -f receipts/mqtt-load-balancer.yml

The load balancer will forward all TCP traffic for ports 1883 and 8883.

One-way TLS

The simplest way to configure MQTTS is to make your MQTT load balancer (AWS NLB) to act as a TLS termination point. This way we setup the one-way TLS connection, where the traffic between your devices and load balancers is encrypted, and the traffic between your load balancer and MQTT Transport is not encrypted. There should be no security issues, since the ALB/NLB is running in your VPC. The only major disadvantage of this option is that you can’t use “X.509 certificate” MQTT client credentials, since information about client certificate is not transferred from the load balancer to the ThingsBoard MQTT Transport service.

To enable the one-way TLS:

Use AWS Certificate Manager to create or import SSL certificate. Note your certificate ARN.

Edit the load balancer configuration and replace YOUR_MQTTS_CERTIFICATE_ARN with your certificate ARN:

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nano receipts/mqtts-load-balancer.yml

Execute the following command to deploy plain https load balancer:

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kubectl apply -f receipts/mqtts-load-balancer.yml
Two-way TLS

The more complex way to enable MQTTS is to obtain valid (signed) TLS certificate and configure it in the MQTT Transport. The main advantage of this option is that you may use it in combination with “X.509 certificate” MQTT client credentials.

To enable the two-way TLS:

Follow this guide to create a .pem file with the SSL certificate. Store the file as server.pem in the working directory.

You’ll need to create a config-map with your PEM file, you can do it by calling command:

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kubectl create configmap tb-mqtts-config \
 --from-file=server.pem=YOUR_PEM_FILENAME \
 --from-file=mqttserver_key.pem=YOUR_PEM_KEY_FILENAME \
 -o yaml --dry-run=client | kubectl apply -f -
  • where YOUR_PEM_FILENAME is the name of your server certificate file.
  • where YOUR_PEM_KEY_FILENAME is the name of your server certificate private key file.

Then, uncomment all sections in the ‘tb-services.yml’ file that are marked with “Uncomment the following lines to enable two-way MQTTS”.

Execute command to apply changes:

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kubectl apply -f tb-services.yml

Finally, deploy the “transparent” load balancer:

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kubectl apply -f receipts/mqtt-load-balancer.yml

10.3. Configure UDP Load Balancer (Optional)

Configure UDP load balancer if you plan to use CoAP or LwM2M protocol to connect devices.

Create UDP load balancer using following command:

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kubectl apply -f receipts/udp-load-balancer.yml

The load balancer will forward all UDP traffic for the following ports:

  • 5683 - CoAP server non-secure port
  • 5684 - CoAP server secure DTLS port.
  • 5685 - LwM2M server non-secure port.
  • 5686 - LwM2M server secure DTLS port.
  • 5687 - LwM2M bootstrap server DTLS port.
  • 5688 - LwM2M bootstrap server secure DTLS port.

CoAP over DTLS

This type of the load balancer requires you to provision and maintain valid SSL certificate on your own. Follow the generic CoAP over DTLS guide to configure required environment variables in the tb-services.yml file.

LwM2M over DTLS

This type of the load balancer requires you to provision and maintain valid SSL certificate on your own. Follow the generic LwM2M over DTLS guide to configure required environment variables in the tb-services.yml file.

10.4. Configure Edge Load Balancer (Optional)

Configure the Edge load balancer if you plan to connect Edge instances to your ThingsBoard server.

To create a TCP Edge load balancer, apply the provided YAML file using the following command:

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kubectl apply -f receipts/edge-load-balancer.yml

The load balancer will forward all TCP traffic on port 7070.

After the Edge load balancer is provisioned, you can connect Edge instances to your ThingsBoard server.

Before connecting Edge instances, you need to obtain the external IP address of the Edge load balancer. To retrieve this IP address, execute the following command:

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kubectl get services | grep "EXTERNAL-IP\|tb-edge-loadbalancer"

You should see output similar to the following:

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NAME                   TYPE           CLUSTER-IP    EXTERNAL-IP      PORT(S)          AGE
tb-edge-loadbalancer   LoadBalancer   10.44.5.255   104.154.29.225   7070:30783/TCP   85m

Make a note of the external IP address and use it later in the Edge connection parameters as CLOUD_RPC_HOST.

Step 11. Validate the setup

Validate Web UI access

Now you can open ThingsBoard web interface in your browser using DNS name of the load balancer.

You can see DNS name (the ADDRESS column) of the HTTP load-balancer using command:

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kubectl get ingress

You should see the similar picture:

image

Use the following default credentials:

If you installed DataBase with demo data (using --loadDemo flag) you can also use the following credentials:

Validate MQTT/CoAP access

To connect to the cluster via MQTT or COAP you’ll need to get corresponding service, you can do it with command:

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kubectl get service

You should see the similar picture:

image

There are two load-balancers:

  • tb-mqtt-loadbalancer-external - for MQTT protocol
  • tb-coap-loadbalancer-external - for COAP protocol

Use EXTERNAL-IP field of the load-balancers to connect to the cluster.

Troubleshooting

In case of any issues you can examine service logs for errors. For example to see ThingsBoard node logs execute the following command:

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kubectl logs -f tb-node-0

Or use kubectl get pods to see the state of the pods. Or use kubectl get services to see the state of all the services. Or use kubectl get deployments to see the state of all the deployments. See kubectl Cheat Sheet command reference for details.

Upgrading to new ThingsBoard version

Merge your local changes with the latest release branch from the repo you have used in the Step 1.

In case when database upgrade is needed, execute the following commands:

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 ./k8s-upgrade-tb.sh --fromVersion=[FROM_VERSION]

Where:

  • FROM_VERSION - from which version upgrade should be started. See Upgrade Instructions for valid fromVersion values.

Note: You may optionally stop the tb-node pods while you run the upgrade of the database. This will cause downtime, but will make sure that the DB state will be consistent after the update. Most of the updates do not require the tb-nodes to be stopped.

Once completed, execute deployment of the resources again. This will cause rollout restart of the thingsboard components with the newest version.

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./k8s-deploy-resources.sh

Cluster deletion

Execute the following command to delete all ThingsBoard pods:

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./k8s-delete-resources.sh

Execute the following command to delete all ThingsBoard pods and configmaps:

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./k8s-delete-all.sh

Execute the following command to delete EKS cluster (you should change the name of the cluster and zone):

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eksctl delete cluster -r us-east-1 -n thingsboard -w

Next steps