--- /dev/null
+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+.. _dl-installation-helm:
+
+Helm Installation
+=================
+
+DL-handler consists of three pods- the feeder, admin UI and des. It can be deployed by using helm charts. The following steps guides you launch datalake though helm.
+
+
+Pre-requisites
+~~~~~~~~~~~~~~
+- Datalake postgres should be properly deployed and functional.
+
+- Presto service should be deployed for des deployment.Here is a sample how presto is deployed in the environment.
+
+   Deploying presto service:
+    The package of presto version we are using is v0.0.2:presto-v0.0.2.tar.gz
+
+     #docker build -t presto:v0.0.2 .
+     #docker tag presto:v0.0.2 registry.baidubce.com/onap/presto:v0.0.2
+     #docker push registry.baidubce.com/onap/presto:v0.0.2
+
+    Note: Replace the repository path with your own repository.
+
+     #kubectl -n onap run dl-presto --image=registry.baidubce.com/onap/presto:v0.0.2 --env="MongoDB_IP=192.168.235.11" --env="MongoDB_PORT=27017"
+     #kubectl -n onap expose deployment dl-presto --port=9000 --target-port=9000 --type=NodePort
+
+    Note: MonoDB_IP and Mongo_PORT you can replace this two values with your own configuration.
+
+- The environment should have helm and kubernetes installed.
+
+- Check whether all the charts mentioned in the requirements.yaml file are present in the charts/ folder. If not present, package the respective chart and put it in the charts/ folder.
+
+ For example:
+    .. code-block:: bash
+
+        helm package <dcaegen2-services-common>
+
+
+Deployment steps
+~~~~~~~~~~~~~~~~
+Validate the charts using below commands
+    .. code-block:: bash
+
+        helm lint <dcae-datalake-admin-ui>
+        helm lint <dcae-datalake-feeder>
+        helm lint <dcae-datalake-des>
+
+Deploy the charts using below commands
+    .. code-block:: bash
+
+        helm install <datalake-admin-ui> <dcae-datalake-admin-ui> --namespace onap --set global.masterPassword=<password>
+        helm install <datalake-feeder> <dcae-datalake-feeder> --namespace onap --set global.masterPassword=<password>
+        helm install <datalake-des> <dcae-datalake-des> --namespace onap --set global.masterPassword=<password>
+
+For checking logs of the containers
+    .. code-block:: bash
+
+        kubectl logs -f -n onap <dev-dcae-datalake-admin-ui-843bfsk4f4-btd7s> -c <dcae-datalake-admin-ui>
+        kubectl logs -f -n onap <dev-dcae-datalake-feeder-758bbf547b-ctf6s> -c <dcae-datalake-feeder>
+        kubectl logs -f -n onap <dev-dcae-datalake-des-56465d86fd-2w56c> -c <dcae-datalake-des>
+
+To un-deploy
+    .. code-block:: bash
+
+        helm uninstall <datalake-admin-ui>
+        helm uninstall <datalake-feeder>
+        helm uninstall <datalake-des>
+
+
+Application configurations
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+Datalake-admin-ui:
+
++-------------------------------+------------------------------------------------+
+|Configuration                  | Description                                    |
++===============================+================================================+
+|FEEDER_ADDR                    | Host where dl-feeder is running                |
++-------------------------------+------------------------------------------------+
+
+Datalake-feeder:
+
++-------------------------------+------------------------------------------------+
+|Configuration                  | Description                                    |
++===============================+================================================+
+|PRESTO_HOST                    | Host where the presto application is running   |
++-------------------------------+------------------------------------------------+
+|PG_HOST                        | Host where the postgres application is running |
++-------------------------------+------------------------------------------------+
+|CONSUL_HOST                    | Host where counsul loader container is running |
++-------------------------------+------------------------------------------------+
+|PG_DB                          | Postgress database name                        |
++-------------------------------+------------------------------------------------+
+
+Datalake-Des:
+
++-------------------------------+------------------------------------------------+
+|Configuration                  | Description                                    |
++===============================+================================================+
+|PRESTO_HOST                    | Host where the presto application is running   |
++-------------------------------+------------------------------------------------+
+|PG_HOST                        | Host where the postgres application is running |
++-------------------------------+------------------------------------------------+
+|PG_DB                          | Postgress database name                        |
++-------------------------------+------------------------------------------------+
+
 
--- /dev/null
+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+.. _sliceanalysis-installation-helm:
+
+
+Helm Installation
+=================
+
+Slice Analysis MS can be deployed using helm charts as kubernetes applications.
+
+Deployment Pre-requisites
+~~~~~~~~~~~~~~~~~~~~~~~~~
+- DCAE and DMaaP pods should be up and running.
+
+- PM mapper service should be running.
+
+- Config DB service, CPS and AAI should be running.
+
+- The environment should have helm and kubernetes installed.
+
+- Check whether all the charts mentioned in the requirements.yaml file are present in the charts/ folder. If not present, package the respective chart and put it in the charts/ folder.
+
+  For example:
+      .. code-block:: bash
+
+          helm package <dcaegen2-services-common>
+
+
+
+Deployment steps
+~~~~~~~~~~~~~~~~
+1. Go to the directory where dcae-slice-analysis-ms chart is present and Execute the below command.
+    .. code-block:: bash
+
+        helm install <slice_analysis_ms> <dcae-slice-analysis-ms> --namespace onap --set global.masterPassword=guilin2021
+
+
+2. We can check the logs of the slice-analysis-ms container by using the below command
+    .. code-block:: bash
+
+        kubectl logs -f -n onap <dev-dcae-slice-analysis-ms-9fd8495f7-zmnlw> -c <dcae-slice-analysis-ms>
+
+
+3. To un-deploy
+    .. code-block:: bash
+
+        helm uninstall <slice_analysis_ms>
+
+
+
+Application configurations
+~~~~~~~~~~~~~~~~~~~~~~~~~~
++-------------------------------+------------------------------------------------+
+|Configuration                  | Description                                    |
++===============================+================================================+
+|postgres host                  | Host where the postgres application is running |
++-------------------------------+------------------------------------------------+
+|pollingInterval                | Dmaap Polling interval in milliseconds         |
++-------------------------------+------------------------------------------------+
+|pollingTimeout                 | Dmaap Polling timeout in milliseconds                 |
++-------------------------------+------------------------------------------------+
+|configDb service               | Host where the config DB application is running|
++-------------------------------+------------------------------------------------+
+|configDbEnabled                | To choose whether to use config DB or CPS & AAI|
++-------------------------------+------------------------------------------------+
+|aai url                        | Host where the AAI application is running      |
++-------------------------------+------------------------------------------------+
+|cps url                        | Host where cps tbdmt application is running    |
++-------------------------------+------------------------------------------------+
+|samples                        | Minimum number of samples to be present        |
+|                               | for analysis                                   |
++-------------------------------+------------------------------------------------+
+|minimumPercentageChange        | Minimum percentage of configuration change     |
+|                               | above which control loop should be triggered   |
++-------------------------------+------------------------------------------------+
+|initialDelaySeconds            | Initial delay in milliseconds for the consumer |
+|                               | thread to start after the application startup  |
++-------------------------------+------------------------------------------------+
+|cl_topic                       | Dmaap topic URL to which onset message to      |
+|                               | trigger  the control loop are posted           |
++-------------------------------+------------------------------------------------+
+|performance_management_topic   | Dmaap topic URL to which PM data are posted    |
+|                               | by network functions                           |
++-------------------------------+------------------------------------------------+
+|intelligent_slicing_topic      | Dmaap topic URL to which ML MS posts the       |
+|                               | messages                                       |
++-------------------------------+------------------------------------------------+
+|dcae_cl_response_topic         | Dmaap topic URL to which Policy posts the      |
+|                               | message after successful control loop trigger  |
++-------------------------------+------------------------------------------------+
+