App Connect Enterprise integration with Azure DevOps

In an enterprise, there are heterogenous applications are present across the landscape, such as C, Java, Python, and Jscript etc., applications with various backend database such as Oracle, MysQL, Sql Server, DB2 etc., here the data communication is versatile, and volume is huge, which are handled by Enterprise Service Bus applications such as IBM App Connect Enterprise, hence development, testing and operation plays a vital role is organizational business success.

E2E Product Using App Connect Enterprise

 

App Connect Enterprise Non-Functional Testing with JMeter

Performance testing was created with the JMeter. Reports were generated for each test execution. Additionally, the using the ‘Artificial Intelligence’ and ‘Data Science’ custom report were generated and integrated with Azure Pipelines, which provides insight whether the performance have deviation.

E2E Product Using App Connect Enterprise

 

App Connect Enterprise integration with ‘ERP’

ERP is a desktop application, and it did not have webservice/Api in-built in it. Hence created webservices/Api’s for this application to interact with the App Connect Enterprise product. The webservice/Api’s were created successfully, integrated with the App Connect Enterprise middleware product developed. The System Tests were created, with data and response code validations, such as ‘Voucher’, ‘Patient Name’, ‘Invoice Date’, ‘Total Cost’ and ‘Pay Method’ are validated, whether the Voucher has unique id, data which is send, is correctly transported and registered in the ERP system.

E2E Product Using App Connect Enterprise

 

App Connect Enterprise integration with ‘Hospital Management System

Use Case: In the Hospital Management System, the Doctor prescribe the medicine ‘Paracetamol’, email send to ‘Pharmacist’, and the ‘Pharmacist’ sells the drug and create an Invoice for the same. These invoice details are transported to ‘ERP’ and Payment gets registered in the ‘Payment Voucher’ module.

E2E Product Using App Connect Enterprise

 

E2E Product Using App Connect Enterprise Introduction

In this demo series, the E2E product or tool developed, using the App Connect Enterprise, will be exhibited. Use Case details: When an Invoice is created in the ‘Hospital Management System’, the data is enriched, mapped and transported, to the target ‘Mini ERP’ and the invoice details are registered in the ERP. Note: Payment would be handled by different application, and only the registration of Invoice in ERP system is taken account for this specific use case. Product is developed using App connect Enterprise, which integrates two applications such as ‘Hospital Management System’ and ‘Mini ERP’. Here the data will be enriched, mapped and communicated from the source application(Hospital Management System), to the target application (Mini ERP).

E2E Product Using App Connect Enterprise

CSharp & RestSharp Integration with Python

•  User Interface and Web Services Integration with other Programing Languages
• Useful insights about Pre-Stock Market buying and selling reports are generated
• When buying or selling stocks best prices decisions are aided

“Web Scrapping” of data from YouTube UI and generate reports using python (AI & Data Science) Demo

 

• v  A Python BDD (AI and Data science) solution for YouTube UI, demo.

• v  Web Scrapping of data from UI will be performed.

• v  Scrubbing of the extracted data will be accomplished.

• v  Graphs generated are two-dimensional comparison in nature

• v  At the end, below mentioned reports will be produced using AI & Data Science which provides useful/vital insights.

  Ø  Plot Graph
Ø  Scatter Chart
Ø  Bar Graph
Ø  Histogram
Ø  Pie Chart

“Web Scrapping” from UI & API and generate reports using python (AI & Data Science) Demo

• A Python BDD solution for UI and API, demo.

•  Web Scrapping from UI & retrieval of data from API.

•  Reports are generated using AI & Data Science.

•  The following reports will be generated.

  v  Bar Graph
v  Pie Chart
v  Histogram
v  Line Graph 

Web Scrapping using Selenium4 and Python (Data Science)

• Data is scraped from Amazon website using Selenium4

• Python Data science is used to create analytical report

• Bar Chat and Pie Chart analytical reports are created from real time data