Elasticsearch

Description: contains tests, configs and setup instructions for our Elasticsearch Cluster

1. Pre-Requistites

Dependencies

docker
python

We are no longer using a self-managed cluster so the only major pre-requisite is an AWS account to create an AWS managed Elasticsearch Cluster and docker or python to run the testing suite.

Alternatively you can host your own on a server (such as an EC2) by cloning this repo and running

docker-compose up

while inside the directory to set up and run a simple 3 node + kibana cluster.

2. Deployment

These instructions are for the AWS Elasticsearch managed service, if you wish to it with a self-hosted Elasticsearch instance using the docker-compose script then you can simply authenticate using http headers in requests.

2.4 Authentication

Authentication is done using the requests_aws4auth in conjunction with boto3 or AWS Cognito.

To load credentials securely always use

credentials = boto3.Session().get_credentials() awsauth = AWS4Auth(credentials.access_key, credentials.secret_key, region, service, session_token=credentials.token)

The awsauth variable can be used in place of any request requiring authorisation

3 Testing

A set of integration tests have been cruited as a suite, subsequent tests depend on the previous test. There are two options to run these tests:

3.1 Docker

If you choose to run them using docker then simply use

docker run --rm -it $(docker build -q .) with the Dockerfile in the test_suite/ directory.

This docker image will be deleted after running.

Otherwise follow the instructions below:

3.2 Testing script

Instal alll python dependencies

pip3 install boto3

pip3 install elasticsearch

pip3 install re

pip3 install json

pip3 install requests

pip3 install requests_aws4auth

Run the testing script to print tests results to stdout

sh run_tests.sh

If all tests are executed succesfully the index created for testing will be deleted as part of the cleanup/final test.

PGP1/elasticsearch