The BitSwan product is delivered in the form of Docker container images which can easily be downloaded and triggered from a distribution URL address by means of Docker compose application to which a corresponding configuration file is provided.

Provided ElasticSearch database is used, it is necessary to be installed and prepared separately.


Each BitSwan product customer will be given registration data for pre-specified Docker registers in which containers specific for setting in its production environment are located. Apart from them the user will obtain a configuration file docker-compose.yml for the Docker compose which precisely defines the source of individual containers within given Docker registry. Because of that the Docker compose command will download and set containers automatically. The whole installation looks as follows:

sudo -i
# Entry in directory with configuration file `docker-compose.yml`
cd /opt/docker-compose
Login under provided data
docker login
# Downloading and instantaneous setting of containers
docker-compose pull
docker-compose up -d --remove-orphans

Release cycle

We aim for a three months release cycle of BitSwan. The new release is marked with a version tag in the GitHub and also a maintenance branch is created. The latest version of BSPump is then available for download at pip (Python package) and Docker Hub to be used directly for creating containerized applications:


Installation in Docker

Create a container with ElasticSearch in a version you request. The following commands will install a container with ElasticSearch in version 6. 4. 2.

sudo mkdir -p /private/var/elasticsearch/data
sudo chmod a+rw /private/var/elasticsearch/data

Trigger the container:

docker run \
--name elasticsearch-6.4.2 -p 9200:9200 -p 9300:9300 \
-e "discovery.type=single-node" \
-v /private/var/elasticsearch/data:/usr/share/elasticsearch/data \

Requested dependencies will be downloaded and installed automatically.

Installation for CentOS

ElasticSearch can be installed by means of following commands (designed for CentOS distribution). First it is important to prepare the environment for the actual installation:

yum install java-1.8.0-openjdk-headless
rpm --import

vi /etc/yum.repos.d/elasticsearch.repo

For more information go to:

Now install ElasticSearch (or its requested version):

yum install elasticsearch

mkdir -p /data/elasticsearch/data  /data/elasticsearch/logs
chown -Rv elasticsearch:elasticsearch /data/elasticsearch/

Modify the configuration according to specific requirements:

vi /etc/elasticsearch/elasticsearch.yml

Change Java VM settings according to specific requirements:

vi /etc/elasticsearch/jvm.options

Trigger ElasticSearch:

service elasticsearch start

Lock the ElasticSearch version so as to prevent automatic update:

yum install yum-plugin-versionlock
yum versionlock elasticsearch

Import of templates

ElasticSearch templates are designed for description of data stored in ElasticSearch indexes.

Clone provided Git repository with ElasticSearch templates:


Execute import into ElasticSearch by means of BSElastic tool:

bspump/utils/bselastic load_index_template . ELASTICSEARCH_URL


Kibana together with Kibana Lookup plugin is accessible as a Docker container from Docker Hub. Thus its installation is very easy. Consequently, the user is able to create a specific container with his/her own configuration all by himself/herself.

Installation with one´s own configuration

To install Kibana version 6. 4. 2., create Dockerfile with the following content in the first place:

FROM teskalabs/kibana:6.4.2
COPY ./kibana.yml /opt/kibana/config/kibana.yml

Then create kibana.yml file in the same folder, in which you configure Kibana according to your own requirements. Remember to give the correct track to the ElasticSearch cluster: kibana "0"
elasticsearch.url: http://elasticsearch:9200
xpack.monitoring.ui.container.elasticsearch.enabled: true

Then create your own Docker container:

docker build -t kibana .

Then load the container to your server.

Installation without one´s own configuration

Create a Kibana container with link to ElasticSearch running in Docker container. All of this in version 6. 4. 2:

docker run --name kibana-6.4.2 -p 5601:5601 --link elasticsearch-6.4.2:elasticsearch teskalabs/kibana:6.4.2

Note: it is necessary for Kibana to be in the same version as ElasticSearch is._

To load the already existing objects (e.g.visualisations) into Kibana, Kibana Object Library and BSKibana tool are designed.

Kibana Object Library

Kibana Object Library is a directory structure with the following objects:

  • ● Kibana settings
  • ● index patterns
  • ● visualisations
  • ● dashboards
  • ● lookups

By means of BSKibana tool Kibana Object Library enables to export and import the above mentioned objects into/out of files and verse these files subsequently. These files are administered by Git version system.

Compilation and import

Clone specific Kibana Object Library from provided Git repository:


Compile it by means of BSKibana tool:

bspump/utils/bskibana compile REPOSITORY_FOLDER --output output.json 

Execute import into ElasticSearch:

bspump/utils/bskibana import output.json ELASTICSEARCH_URL