VMware Tanzu Application Service as an Integration Platform

VMware SpringOne 2021
VMware Tanzu Application
Service as an Integration Platform
A U G U S T 2 0 2 1

2 | Copyright © 2021 Deloitte Development LLC. All rights reserved.
Bios
Our team
Siddharth Mehrotra
Senior Manager, Deloitte
Consulting LLP
simehrotra@deloitte.com
Manoj Thekumpurath
Senior Manager, Deloitte
Consulting LLP
mthekumpurath@deloitte.com
Siddharth is a Senior Manager in Deloitte’s
Cloud Strategy & Transformation practice,
he leads Cloud Native Development and
Architecture for their global clients.
Siddharth’s area of expertise includes
Enterprise Architecture, Digital
Architecture, Cloud IaaS/ PaaS/ SaaS,
Application security, DevOps, SRE,
Application modernization, Digital
Decoupling and Blockchain.
Manoj is an accomplished technology leader
with a proven track record of implementing
and operating numerous complex business
& technology transformations solutions for
Health Care Life Sciences, Automotive and
Public Sector clients.
Manoj core competencies includes Delivery
Management, Project Management, Client
and Employee Engagement, Product
Development, Solution Architecting and
Product Maintenance.

A large automotive company has engaged Deloitte to assist with preparing for an integrated ERP implementation across Finance,
Global Order to Delivery (GOTD), and Procurement with integration to multiple legacy systems over the next 3 – 5 years
Program Background and Objectives
The organization’s vision is to implement an “Enterprise ERP Program” to significantly reduce the size and complexity of technical footprint, refocus
on differentiating capabilities, and standardize business processes. Deloitte has been selected to partner and implement this effort and prepare the
organization for a multi-year ERP implementation program that integrates several different legacy systems and support transformation initiatives
currently being developed and implemented independently.
In order to stay competitive, organization must be able to analyze data faster and make informed decisions quickly. I-ERP should enable both commonization of data and material
cost reduction become more competitive and realize efficiencies by impacting 7,000+ employees, 390+ legacy systems, and aligning 440+ processes to industry standards globally.
The organization’s vision is to implement an “Enterprise ERP Program” to significantly reduce the size and complexity of technical footprint, refocus on differentiating capabilities,
and standardize business processes. Deloitte has been selected to partner and implement this effort and prepare the organization for a multi-year ERP implementation program
that integrates several different legacy systems and support transformation initiatives currently being developed and implemented independently.
Direct integration between supply chain and financial
transactions for multiple systems
• Organization’s strategy requires an Enterprise Foundation to Drive Stability and Optimization in the Core while Enabling Differentiation and Innovation without Disruption.
• Leverage integrated Platform and Standardize on Industry Best Practices where possible – build the foundation.
• Roll out in waves leveraging agile methodologies to ensure business value is achieved as quickly as possible.
B A C K G R O U N D A N D C O N T E X T
O B J E C T I V E S
Build Integrated processes and shared master data
model for multiple source systems
Transactional data is used ‘as-entered’ for analytics
by different teams
Covers integrated broad and deep operational
end-to-end automated processes
Sustainability: Enable long-term value by codifying
innovative, streamlined processes
Simplicity: Simplify current systems and modernize for
the next century of operation
Savings: Activate and execute opportunities to
improve cost competitiveness
Speed: Quickly drive business value that can be
measured in real-time

Some of the key challenges faced by the team while building the Integration Platform
Technical Challenges
Business Process Transformation
Transform business processes to create
sustainable competitive advantage
through the cloud and transformative
technologies
• Cloud Strategy
• Business process change
management
• Agile processes and PDO Model
Error Handling & Tracking framework
Build an Error handling and
reprocessing framework to display
transaction tracking with their status
and ability to reprocess the failed
records.
• Status of every transaction with the
attached source payload
• Every failed and error record should
have the ability to be reprocessed
Platform that can auto-scale based
on the volume
Integration platform with capabilities to
automatically scale up and down based
on usage
• Vertical and Horizontal scaling
• Support for multiple integration
types such real-time and batch
API-First approach Integration
between disparate systems
Integrate incompatible source and
target systems following API first
approach. An integration platform that
can support more than 100+ unique
interfaces with 2.5M transactions a day
between S4 and legacy technology
systems such as:
• SFTP/FTP batch
• API Based
• Realtime
Cloud-Native Development & multi-
cloud support
Enable accelerated enterprise adoption
of cloud-based microservices
development and deployment to
meet transformation objectives
• Custom microservices following 12-
factor principles
• Integration with disparate source
and target systems
Integration with third-party tools
The platform should support integration
to third-party services like Dynatrace,
SRE, Splunk, management
services(Credhub, Vault), FOSSA,
Checkmarx, and messaging services
such as WebSphere
• Provide standard API interface
• Support binding with external
monitoring and observability
platforms
Integrate with existing Logging &
monitoring solutions
Integration to different Logging and
Monitoring tools such as Splunk, ELK
stack, Prometheus for filtering,
monitoring.
• Send alerts based on thresholds
• Real-time traffic monitoring
• Dashboard & metrics to review
platform usage
.
Implement open-source
containerized DevOps pipeline
Support CI/CD tools like Jenkins,
SonarQube, GitHub for creating
workflows/pipelines for continuous
delivery and continuous deployment.
• Automated build pipelines
• Static code analysis
• Blue-green deployment to eliminate
downtime

API First
Architecture
Automatically
handle high volume
VMware TAS
First For Custom Dev
Handle temporary
failures
Integrate
With Multiple
Data Format
Responsive to
Business Changes
Integration
Platform of choice
Cloud native best
practices using Agile
methodology & DevOps
Architecture vision - Build a modern API driven Microservices based system on Deloitte Cloud Native Offering guiding
principles using VMware Tanzu Application Service (TAS) as the Integration Platform
VMware Tanzu Application Service – Integration
Platform of Choice
Deloitte
Cloud Native
Offering
Tax
Develop integration platform architecture with
API-first approach
Integration platform should run reliably,
securely & predictably process a high volume
of data despite transient issues in the cloud
environment involving network, variable loads,
and capacity to ensure Business Continuity
Platform should process a high volume of data
by automatically scaling up during high volume
processing and scale-down during low usage
Scale-up or scale-down without manual
intervention
Leverage rich ecosystem of standard
integration services and enablers available in
VMware TAS platform app development
Integrations between Internal systems and S/4
will bias towards a service orchestration built
using a Standard platform (VMware TAS/JAVA)
Utilize open-source Spring Boot framework to
develop custom code to integrate different
types of source systems with target system
using common terminology outside of S/4
should be developed on VMware TAS.
Integration platform should support multiple
data formats ( File, Message Queue, SOAP/
REST, ODATA API, Database)
Ability to continuously deliver and deploy
features to meet business requirements and
ensure zero downtime using blue-green
deployment

High level overview showcasing the integration of 92 different source systems with multiple target systems
Integration Platform using VMware TAS
Storage
OLTP Mart
SFTP
SFTP Server
Message Queue
Message Queue
APIC
01 S O U R C E S Y S T E M
IBM API Connect
Microservices
Core APIs
System APIs
Experience APIs
Process APIs Platform APIs
Business APIs
API Layer
Security
API Caching Throttling
API Layer
Core & Third-Party Services
Autoscaling Service
Spring Cloud
Config Server
Error Handling and Re-Processing Framework
Error Handling UI
Error Handling and
Reprocessing Service
Error Notification
Service
Database
Logging and Monitoring
TARGET SYSTEM
SAP S4 HANA
Informatica MDM
Ariba
Informatica IICS
V M W A R E T A N Z U A P P L I C A T I O N
S E R V I C E M I D D L E W A R E L A Y E R
02 03

Technical architecture diagram
Legacy systems zOS connector IBM API
Connect
Oracle/Teradata database
Data load Update status
Fetch and
IBM MQ
SFTP server SFTP handler
MQ handler
DB handler
API handler
Service 1
Service 2
Service N
Controller service Loggregator
Autosys
T
R
A
N
S
F
O
R
M
A
T
I
O
N
H
U
B
S
P
R
I
N
G
B
O
O
T
M
I
C
R
O
S
E
R
V
I
C
E
S
Error handling and
reprocessing framework
Error handling and
reprocessing DB
Dell ECS storage
Create record
V
M
W
A
R
E
T
A
S
M
I
D
D
L
E
W
A
R
E
L
A
Y
E
R
OData API Call
BAPI Call
Fiori endpoint
XML messages posted
Journal entries/Transactional
document

CICD pipeline with integration to DevOps toolset with automated testing for deployment on VMware TAS Integration platform
Agile and DevOps with VMware Tanzu
Application Service platform
Code is Checked in daily
User Story Drafted
Add Details to
User Story
Dev. Teams Develop
Against User Story and
Carry out Initial Testing
Sr. Developer(s) review the
code commits and UT results
and approve for integration
CI Tool Kicks Off a Workflow
CI Tool Runs Automated
Unit/Smoke Tests
CI Tool Runs Key Automated
Business Flow Tests
PO Accepts Story
(Ready for Release)
Environment
Configuration
externalization
Deployed in HA
environment in
Production
Product Backlog
Push to integrated environment
Sprint Backlog
Push to Integration/Staging
Environments1-2 day Test Cycle
Continuous Integration
P R O D U C T I O N R E L E A S E
Testing & Acceptance
Development
Rally US Refinement
B U I L D T O O L S C O D E Q U A L I T Y & S E C U R I T Y A N A L Y S I S S O U R C E C O D E M A N A G E M E N T
1 2 3 4 5
Scrum + Security Teams Develop
Automated Test Cases
PO/BA writes test scenarios /
acceptance criteria
6
7
T E S T I N G
F R A M E W O R K S
8 9 10

Summary of different platform and third-party services used in VMware TAS middleware layer
VMware Tanzu Application Service Middleware
layer components
Service Type Service Tiles Benefits
Message Brokers
• VMware Tanzu™ RabbitMQ for VMs
• Redis Enterprise for VMware Tanzu
• RabbitMQ service is used with different applications to enable loose coupling and
asynchronous processing
• Redis service is used to enable caching for enabling faster transactional processing
Core Services • Spring Cloud Services for VMware Tanzu
• Config Server and Circuit Breaker dashboard services are implemented for each
microservice that is built
• Memory-based autoscaling rules based on different thresholds are applied for all the
microservices
Third Party Broker
Services
• CredHub Service Broker
• GCP Service Broker for VMware Tanzu
• Multiple source system and target system passwords used in different interfaces are
encrypted using the CredHub service
• GCP Service Broker is used to consume GCP services within the application
Logging and Monitoring
• Dynatrace Service Broker for VMware Tanzu
• Splunk Nozzle for VMware Tanzu
• Grafana & Prometheus Dashboards
• Dashboards are created and alerts are set up for all the microservices streaming their
logs to Dynatrace
• Dashboards are created and alerts are set up for all the microservices streaming their
logs to Splunk
• Built SRE dashboards for HTTP traffic monitoring and application performance using
Grafana and Prometheus

Cloud-based
Integration model
Scalable and highly customized
architecture
Microservices deployed on VMware
TAS Platform are highly scalable and
supports multiple data exchange
protocols, Provides a high level of
customization and granular
control/Management capabilities
beyond solutions like MuleSoft.
Error Handling and
Re-processing framework
ERF has a Standard User Interface,
Backend services leveraging S3
object storage architecturally
decoupled from VMware TAS
offering daily summary email
notifications, reprocessing, and
monitoring capabilities. A common
VMware TAS utility was developed
to bring reusability and consistency
while inserting data into ERF.
Open-source containerized
DevOps platform
Highly decoupled Microservices
by PDO deployed through
Jenkins-based CI/CD in an agile
fashion enabling aggressive
rollout plan. Changes and
Updates can be deployed anytime
without collateral impact.
Deloitte architected and designed
microservices-based Interfaces on
VMware Tanzu Application Service
that can scale and meet the complex
business processes of I-ERP Program.
The Platform supports integration to
more than 100 different legacy
systems now and can handle peak
volume of 10M transactions a day.
Need for a cloud-based Integration
platform for the I-ERP Program that
can support more than 100+
Interfaces with peak volumes of
2.5M transactions a day. Can
VMware Tanzu Application Service
be considered as an Integration
Platform for I-ERP
Objectives
Where
we
are
today
Need for a sophisticated UI-based
error handling and reprocessing (ERF)
capability to support reprocessing of
failed transactions to S/4 through a
middleware platform.
Need for a containerized
DevOps platform that has out of
box capabilities that can reduce
build, test, and deployment
cycles, supports app security
and vulnerability testing, code
quality and compliance
management.
Can VMware TAS scale, support and
deliver integration capabilities as
delivered by COTS solutions like
PIPO, MuleSoft, etc. Can VMware
TAS support multiple data
exchanges (File, Message Broker,
API, DB)?
Different technical objectives met from the start of engagement till date - right from creating the highly scalable Integration
model to a highly customized Error handling and Re-processing framework
Technical Accomplishments

Key milestones reached starting from 2020 till date and future scope of the engagement for the next couple of years
Integration Platform – Roadmap
M I L E S T O N E
1
Production Go-Live for
Finance North America
Market Phase-1
• Source Systems: 6
• App instances: 2
• Service Instances: 3
• Maximum volume of data: 20K
• Average daily volume of data: 1000
• General Ledger Consolidation
• Single Instance of all GL using S/4 Hana universal General
• Central finance /Full Finance Data Replication
• Consolidate finance master data.
M I L E S T O N E
2
North America Market
Phase-2
• Service instances: 45
• Maximum volume of data: 2.5 M
• Average daily volume of data: 200K
• Implement core accounting in S4/Hana
• Integrate the Legacy financial system with S4
• Indirect Procurement integration, production/service part integration for Canada
region
• Vehicle accounting transaction integration
M I L E S T O N E
3
North America Market
Phase-3
• Maximum volume of data: 10 M
• Average daily volume of data: 5 M
• Roll out Canada pilot to NA region
• Enhance solution, improvement, and stabilization for global pilot.
• Wholesale and retail profitability reporting based on data residing within S/4HANA
• Vehicle lifecycle reporting based on vehicle status and accounting events
M I L E S T O N E
4
Europe Market
• Roll out Canada pilot to EU region
• Derivation of vehicle and customer related profitability characteristics
• Deployment of Joint Venture entities.
• Receivables management for dealers and customers
M I L E S T O N E
5
Global Market
• Global Costing of production parts in S4 Hana
• Global costing release with enhanced operation variance analysis
• Accounting and profitability
The platform enables integration across ~650 systems using ~270 App instances & ~270 Service to process average daily volume of ~20M to ~85M transactions/day.

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