About Client

DEEPIQ simplifies industrial analytics and offers the only self-service application for end-to-end (Data + AI) OPs for the industrial world. With this app, your SMEs can digitize their expertise, and your data teams can build and deploy robust analytic pipelines.

Project Background

DeepIQ required a proof-of-concept integration layer to extract Vendor master data and Work Order information from their SAP system and expose it to external applications. The goal was to evaluate viable integration patterns — SOAP, REST, BAPI/RFC — and deliver a working, reusable service layer that could be extended to production. 

The project was executed by Peritos Solutions under a phased delivery model, beginning with an assessment and requirement-gathering sprint before moving into build and testing phases. 

Scope & Requirements

In Scope

Out of Scope

Project Timelines

Phase  Duration  Key Deliverables  Status 
Assessment  < 2 wks  Requirement gathering, SAP system access, Risk & Gap Analysis, Customised Assessment Report  Done 
Phase B  2–3 wks  Custom BAPI design, ABAP OOP coding, WSDL web service exposure, SOAP UI unit testing  Done 
Phase C  2–3 wks  REST-based SICF service (z_ven_wrk_ords), JSON output, Postman testing, 1-week support  Done 
Hypercare  1 wk  Post-go-live support, bug fixing, documentation handover  Done 

Results & Impact

Observability & Visibility

Assessment Report

A comprehensive assessment was completed in under two weeks. This included: 

Cloud Formation

Integration — Delivered in < 2 Weeks per Phase

Each integration phase was scoped, built, and tested in a rapid sprint cadence: 

Key Outcome Metrics

✔  Observability & Visibility 

Full assessment report delivered with risk & gap analysis within 2 weeks. 

 ☁  Cloud-Ready Integration 

REST & SOAP web services exposed from SAP — ready for cloud consumption. 

 ⚡  Rapid Time-to-Value 

Custom BAPI developed & tested end-to-end in under 8 weeks. 

Implementation

Architecture Overview

Below is a high level Architecture Diagram overview


Technology & Architecture

SAP Core  SAP R/3 · S/4HANA  |  ABAP OOP  |  BAPI / RFC 
Integration  SOAP Web Services (WSDL)  |  REST / HTTP (SICF)  |  JSON 
Tooling  SOAP UI  |  Postman  |  Informatica ETL 
Data Scope  Vendor Master  |  Customer Master  |  Work Orders 
Auth  HTTP Basic Auth  |  Service User credentials 
Output Format  JSON (serialised via /ui2/cl_json)  |  XML / WSDL 


Challenges

Authentication Configuration

SAP’s web service authentication settings required careful tuning. Multiple configurations were tested before identifying the correct combination of HTTP handler and service user credentials that allowed external SOAP calls to succeed. 

Date Filter Logic

Initial work-order retrieval returned data outside the requested date range. The ABAP selection logic was corrected to enforce strict date boundary matching (GSTRP GE i_start AND GSTRP LE i_end), and output dates were reformatted to DD/MM/YYYY. 

Vendor Number Formatting

Vendor numbers required CONVERSION_EXIT_ALPHA_OUTPUT normalisation to strip leading zeros and match expected formats in the consuming application. 

Compressed Timeline

All three phases were delivered in parallel with the client’s internal scheduling constraints, requiring iterative development with 2–3 day feedback cycles and daily stand-ups. 

Key Benefits

Post-Go-Live Support

Hypercare Period

A dedicated one-week hypercare period was included post-delivery. During this period DeepIQ resolved all outstanding defects, provided guidance on SAP navigation, and completed final documentation. All six functional test scenarios and both raised bugs were closed with a Pass status before handover. 

Application screenshots are included below as placeholders — replace with actual Postman / SOAP UI test captures. 

About Client

Electric Kiwi is an autonomous online New Zealand electricity retailer. Established in 2014, Electric Kiwi uses cloud computing and intelligent meters to service customers nationwide in major urban areas. Its services depend on the presence of the smart meters in the customer’s home. For the client, we did the POC for integrating AWS Support Services with Datadog’s CloudFormation template.

Project Background

The case study of the project provides a synopsis of how we did the POC for the client for integrating AWS Support Services, an AWS account with Datadog employing Datadog’s CloudFormation template. Creating an IAM role and associated policy enables Datadog’s AWS account to make API calls for collecting or pushing data into your AWS account. Using the CloudFormation template supplies all the tools required to send this data to your Datadog account, and Datadog helps the CloudFormation template to provide the latest functionality. The template even deploys the Datadog Forwarder Lambda operation for sending logs to Datadog.

After setting the initial connection, enable the individual AWS service integrations appropriate to your AWS domain. With a single click, Datadog provisions the required resources in your AWS account and starts analyzing the metrics and events for the services you use. For general AWS services you are using, Datadog needs out-of-the-box dashboards providing prompt and customizable visibility. The project background demonstrates setting up the integration and establishing the Datadog Agent on an Amazon Linux EC2 instance and feeds a broad outline of the integration’s capabilities. Visit the Enable integrations for individual AWS service factions for a list of the general sub-integrations.

This procedure can be repeated for multiple AWS accounts as required, or you can also use the API, AWS CLI, or Terraform to set up various accounts simultaneously. For more details, read the Datadog-Amazon CloudFormation guide.

Scope & Requirement

The scope & requirements involved the following:

Implementation

Technology and Architecture

Technology/Services used

We used Datadog integration with AWS services to masure and do observability matrix and helped them to setup below

Security & Compliance:
Backup and Recovery
Network Architecture
Cost Optimization
Code Management, Deployment

Challenges

Support