Deployment Methodology

Version 10.0

BDB Data Platform follows microservice architecture and uses containers to make it highly scalable and secure. BDB Data Platform uses Kubernetes for container orchestration to automate most of the operational effort required to run containerized workloads and services. Kubernetes is an open-source system for deploying, scaling and managing containerized applications. Kubernetes handles the work of scheduling containers onto a compute cluster and manages the workloads to ensure they run as the user intended. Kubernetes eliminates infrastructure lock-in by providing core capabilities for containers without imposing restrictions. It achieves this through a combination of features within the Kubernetes platform.

A representative schematic diagram of the BDB Data Platform using Kubernetes methodology is shown below:

Before you Install

Before you finalize installing the BDB Data Platform solution in your organization, be sure to carefully evaluate the options ( On-prem OR Cloud ). For most organizations, deployment in Cloud will provide a more reliable, performant, and cost-effective solution when compared to On-prem deployment.

BDB Data Platform supports both on-premises and cloud deployments including major players like AWS, Azure & GCP.

Minimum Hardware Requirements & Recommendations

BDB recommends the following list as minimum hardware requirements for the Production environment.

Please Note: A similar configuration can be envisioned for Dev & UAT environments.

Plugin​	CPU Core​	Memory (GB)​	SSD/HDD (GB)​	Comments
Core Platform​	10	32	200GB/Node​	Platform Services, Self Service Module
Data Pipeline ​Module	4	32		This is the Core Data Pipeline Module with its various components
Execution Space (Pipeline & DS Lab)​	8	32		These are the Worker Nodes that will process the data
Pre-requisite/dependency (Repo DB, Kafka)	8	32		Platform external dependency
Dashboard Designer (Optional)	4	8		In case Dashboard Designer Tool for Dashboards is required
DS Lab​ (Optional)	4​	16​		Data Science Lab module to Develop Algorithms
AutoML​ (Optional)	4​	16​		Auto ML Setup if required
Monitoring​ (Optional)	2​	8​		Data Observability Reports and Monitoring Setup
ClickHouse​ Data Lake - Sharded Cluster of 2, 8 Core	16​	64​	​	Data Base
Network Storage​	​	​	1 TB​

	vCPU	RAM ( in GB )
Dashboard Only ->	12	48
Business Story ->	6	32
Pipeline ->	12	48
Monitoring ->	2	8
K8s Master ->	4	8
Execution ->	8	32	As Per data Volume
	44	176

The following table includes the minimum hardware requirements for Dev and QA tenants.

Dev Tenant	8	32	Additional for Data Base + 8 Core or 16 Core for Sharding
QA Tenant	8	32

Please Note: The required Network Storage is 1 TB.

If you have finalized to proceed with the On-prem deployment option, please refer to the section Deployment of BDB Data Platform service -- On-prem environment

If you have finalized to proceed with the Cloud deployment option, please refer to the section Deployment of BDB Data Platform service -- Cloud environment

Deployment of BDB Data Platform Service – On-Prem Environment

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Deployment of BDB Data Platform Service – Cloud Environment

BDB Platform is cloud agnostic. It can be been deployed on all major cloud players like AWS, Azure & GCP. It can be also deployed on other cloud environments based on customer choice.

Outlines below are schematic flow diagrams related to BDB Data Platform service deployment on Azure, AWS & GCP cloud.

Deployment using Azure Cloud

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Deployment using AWS Cloud

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Deployment using GCP Cloud

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