Streamlining SAP Cloud Migration with Innovative Solutions

Overview

When the company sought to migrate its SAP environment to the cloud, it found itself out of its depth, facing a complex and confusing infrastructure design. Instead of simply moving the data, we also needed to develop a straightforward system that would function effectively and evolve. That’s when Techling stepped in—prepared to create clarity, provide an up-to-date solution and boost both operational efficiency and results.

Challenges

Lack of UI/UX Design

The application did not have a user interface or user experience design already in place. For this reason, it became tricky for SAP power users and IT specialists to fully grasp the system’s design and operate within it smoothly.

infrastructure

Complex Infrastructure Design

Choosing and pricing the infrastructure for SAP systems was too complicated unless you had extensive knowledge of technology. Since such work required specialised expertise and multiple experiments, the results were delayed and sometimes inaccurate.

Manual Processes and Lack of Automation

Designing, fixing and writing reports for infrastructure were all usually done manually. This process was slower, caused mistakes and needed to be adjusted by hand several times.

Techling’s Solution: A Ground-Up Cloud Migration Powerhouse

UI/UX Design and Creating Functions

First, our team worked on creating a user-friendly interface suited for SAP specialists and IT professionals. The new design made it possible to automate complex tasks, added step-by-step directions and created an interface where users could see their resources.

Example

For example, during the SAP landscape design process, users could select different cloud services, adjust what is required and view the effects immediately—all on an interactive interface.

Feature-Rich Functionality

With the interface complete, we began focusing on the main functions the app would offer. The cost of operations, reducing the workload, real-time teamwork and checks for cloud readiness were all added to the platform.

Example

For instance, when a user sets up an SAP HANA environment with the tool, it reviews the CPU and memory settings and proposes a solution that saves the user money.

Multi-Cloud Deployment

The app was made available on all three leading clouds to provide the client with options and prevent them from relying too heavily on a single vendor.

Example

If a user creates an SAP environment on AWS, they will have the option to view the cost and specifications included on GCP and Azure with just a single click. With this method, decision-makers had a complete view and say over which cloud service to choose.

Features & Benefits

Faster Cloud Migration

The smooth and fast migration was made possible by a well-suited design, quick error reporting, and automated update features that reduced the time taken to migrate.

Optimized Costs

The availability of in-product pricing tools and configuration guidance enabled users to enhance their efficiency in terms of expenses while maintaining their systems' reliability and scalability.

Real-Time Synchronization

There were no misalignment problems because designs from infrastructure were synchronised automatically with the Bill of Materials (BoM), keeping all documentation consistent from the project's start to the ordering of parts.

Scalability and Flexibility

The deployment across Azure, GCP, and AWS gave the client the choice to scale the infrastructure and make changes with no risk of being tied to a single vendor.

Advanced Functionality

Instead of performing manual tasks, teams now utilise automation, resulting in fewer mistakes, faster handling of complex tasks, and more time spent on meaningful work.

Enhanced Usability

The new modern interface, designed for both users and IT personnel, made the system much simpler and faster to use, which led to a greater number of people adopting it.

Technologies Used to Build the Solution

Layer Technology
Frontend React.js
Backend Node.js
API GraphQL
Cloud Azure, GCP, AWS
Database PostgreSQL