OpenHIM transaction logs and other data is stored in the Mongo database. Restoring this data means restoring all the history of transactions which mandatory to recover in case something unexpected happened and we lost all the data.

In the following sections, we will cover:

• Already implemented jobs to create backups periodically

• How to restore the backups

Backup & Restore

Single node

The following job may be used to set up a backup job for a single node Mongo:

Cluster

The following job may be used to set up a backup job for clustered Mongo:

Restore

In order to restore from a backup you would need to launch a Mongo container with access to the backup file and the mongo_backup network by running the following command:

docker run -d --network=mongo_backup --mount type=bind,source=/backups,target=/backups mongo:4.2

Then exec into the container and run mongorestore:

mongorestore --uri="mongodb://mongo-1:27017,mongo-2:27017,mongo-3:27017/openhim?replicaSet=mongo-set" --gzip --archive=/backups/<NAME_OF_BACKUP_FILE>

The data should be restored.

What it Means

CPU

CPU allocations are specified as a portion of the total number of cores on the host system, i.e., a CPU limit of 2 in a 6-core system is an effective limit of 33.33% of the CPU, and a CPU limit of 6 in a 6-core system is an effective limit of 100% of the CPU.

RAM

Memory allocations are specified as a number followed by their multiplier, i.e., 500M, 1G, 10G, etc.

Defaults

As a default, each package contained in Platform is allocated a maximum of 3 GB of RAM, and 100% CPU usage.

Allocating Resources per Package

The resource allocation can be set on a per-package basis, as specified by the relevant environment variables found in the relevant .

Notes

• Be wary of allocating CPU limits to ELK Stack services. These seem to fail with CPU limits and their already implemented health checks.

• Take note to not allocate less memory to ELK Stack services than their JVM heap sizes.

• Exit code 137 indicates an out-of-memory failure. When running into this, it means that the service has been allocated too little memory.

Cloud Dev environments

To set up a developer's development environment in AWS, run this terraform project. The scripts will allow the joining of an existing VPC, the creation of a public subnet and a variable number of EC2 instances that the user will have SSH access to. Alarms have been created in the scripts which will auto-shutdown the instances after a configurable period, based on CPU metrics. A Lambda scheduled event can also be configured which can run at a regular interval to shut down any instances that may still be running.

Pre-requisites

Creating a VPC

This should only be done once per AWS account as there is a limit of 5 per region. Please check if this has already been run and use the existing VPC_ID and SUBNET_ID for the following section if it does and skips to the next section.

Navigate to the infrastructure/terraform/vpc directory

Initialize Terraform project:

Execute the following:

Copy the output for the next step, e.g for ICAP this has already been run and this is the result:

Creating EC2 instances

Navigate to the infrastructure/terraform directory

Initialize Terraform project:

The following properties have to be set:

The configuration can be done using an terraform variable file. Create a file called my.tfvars. Below is an example that illustrates the structure of the environment variables file. This example is of a configuration that you can use for the ICAP CDR. Please replace {user} with your own user.

The AWS account to be used is defined in the ~/.aws/credentials file. If you don't have file this make sure you have configured the AWS CLI.

The sample file above has access to 3 accounts and the options for <account_name> could be "default", "jembi-sandbox", "jembi-icap"

Optionally, add ACCOUNT = "<account_name>" to my.tfvars if you want to use something other than default.

The flag for specifying an environment variables file is -var-file, create the AWS stack by running:

Once the script has run successfully, the ip addresses and domains for the servers will be displayed:

SSH access should be now available - use the default 'ubuntu' user - ssh ubuntu@<ip_address>

Destroying the AWS stack - run:

Two major procedures should exist in order to recover lost data:

• Creating backups continuously

• Restoring the backups

This includes the different databases: MongoDB, PostgreSQL DB and Elasticsearch.

Platform Deploy

Prerequisites

• Linux OS to run commands

• Install Ansible (as per )

• Ansible Docker Community Collection installed

Infrastructure and Servers

Please see the /inventories/{ENVIRONMENT}/hosts file for IP details of the designated servers. Set these to the server that you created via Terraform or to an on-premises server.

Ansible

SSH Access

To authenticate yourself on the remote servers your ssh key will need to be added to the sudoers var in the /inventories/{ENVIRONMENT}/group_vars/all.yml.

To have docker access you need to add your ssh key to the docker_users var in the /inventories/{ENVIRONMENT}/group_vars/all.yml file.

An authorised user will need to run the provision_servers.yml playbook to add the SSH key of the person who will run the Ansible scripts to the servers.

Configuration

Before running the ansible script add the server to your known_hosts file else ansible will throw an error, for each server run:

To run a playbook you can use:

Alternatively, to run all provisioning playbooks with the development inventory (most common for setting up a dev server), use:

Vault

The vault password required for running the playbooks can be found in the database.kdbx KeePass file.

To encrypt a new secret with the Ansible vault run:

The New password is the original Ansible Vault password.

Keepass

Copies of all the passwords used here are kept in the encrypted database.kdbx file.

Validated messages from HAPI FHIR will be stored in PostgreSQL database.

The following content will detail the backup and restore process of this data.

Backups

This section assumes Postgres backups are made using pg_basebackup

Elasticsearch Backups

For detailed steps about creating backups see: .

Elasticsearch offers the functionality to save a backup in different ways, for further understanding, you can use this link: .

Overview

Certain packages in the Platform require configuration to enable their intended functionality in a stack. For instance, the OpenHIM package requires the setting of users, channels, roles, and so on. Other packages, such as JS Report or Kibana, require importing of pre-configured dashboards stored in compressed files.

Most services in the Platform can be configured by sending a request containing the required configuration files to the relevant service API. To achieve this, the Platform leverages a helper container to make that API call.

The Helper Container

The Process

As part of the package-launching process, the to-be-configured service is deployed, then awaits configuring. Before the configuration can take place, the relevant service is waited upon for joining to the Docker internal network. Once the service has joined the network, the helper container is launched and makes the API request to configure the service.

Images

jembi/api-config-importer

For reference on how to use the jembi/api-config-importer image, see the repo .

jembi/instantohie-config-importer

For reference on how to use the jembi/instantohie-config-importer image, see the repo .

Deploying from your local environment to a remote server or cluster is easy. All you have to do is ensure the remote servers are setup as a Docker Swarm cluster. Then, from your local environment you may target a remote environment by using the `DOCKER_HOST` env var. e.g.

DOCKER_HOST=ssh://ubuntu@<ip> instant package init ...

Setting up new servers

In addition, as part of the OpenHIM Platform Github repository we also provide scripts to easily setup new servers. The Terraform script are able to instantiate server in AWS and the Ansible script are able to configure those server to be ready to accept OpenHIM Platform packages.

Ansible

See .

It is used for:

• Adding users to the remote servers

• Provision of the remote servers in single and cluster mode: user and firewall configurations, docker installation, docker authentication and docker swarm provision.

All the passwords are saved securely using Keepass.

In the inventories, there is different environment configuration (development, production and staging) that contains: users and their ssh keys list, docker credentials and definition of the hosts.

Terraform

Is used to create and set AWS servers. See .

The performance scripts are located in the test folder. To run this script against a local or remote server.

Steps

1. Make sure you have the necessary dependencies installed, more importantly, the k6 binary. Refer to this documentation Building a k6 binary

2. Set the [BASE_URL] variable to the URL of your server. By default, it is set to "http://localhost:5001", but you can change it to the appropriate URL.

3. If there are any additional dependencies or configurations required by the [generateBundle] function or any other imported modules, make sure those are set up correctly.

4. Open your terminal or command prompt and navigate to the directory where the scripts are located, e.g.

5. Run the script using the k6 run command followed by the filename. In this case, you would run [k6 run load.js]

6. The script will start executing and sending HTTP POST requests to the specified server. The requests will be sent at a constant arrival rate defined in the [options] object

7. The script includes some thresholds defined in the [options] object. These thresholds define the performance criteria for the script. If any of the thresholds are exceeded, the script will report a failure.

8. Monitor the output in the terminal to see the results of the script execution. It will display information such as the number of virtual users (VUs), request statistics, and any failures that occurred.

9. To visualize the output in grafana, run the k6 scripts with the following environment variables and flag set K6_PROMETHEUS_RW_SERVER_URL=http://localhost:9090/api/v1/write && ./k6 run -o experimental-prometheus-rw script.js

Sample load test result

The test results were obtained from running on Ubuntu 22.04 OS, 64GB RAM and 12 Cores. ✓ status code is 200

Sample volume test results

Adding Packages

• The Go Cli runs all services from the jembi/platform docker image. When adding new packages or updating existing packages to Platform you will need to build/update your local jembi/platform image. How to build the image.

• As you add new packages to the platform remember to list them in the config.yml file - otherwise the added package will not be detected by the .