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Challenge

Providing updates to the online shops and a scalable infrastructure to accommodate future expansion

  • Reduce the duration required to process and enhance vehicle data.
  • Enhance efficiency by reducing the time required to retrieve and filter vehicles through the implementation of full-text search capabilities.
  • Guarantee system scalability over data growth.
  • Ensure the provision of dependable infrastructure and maintain a high level of service availability.

Mercedes-Benz relied on xgeeks engineering expertise to achieve their online sales goals.

Our Role

  • Support and enhance the data engineering pipelines
  • Offer reliable vehicle data post-enhancement sourced from multiple sources
  • Deploy and maintain Infrastructure and services

Solution

xgeeks comprehended the challenges and proactively endeavored to identify optimal solutions, duly considering the project's status.

  • Scalable and highly available infrastructure.
  • Utilization of search engine functionalities to expedite response times.
  • Review the implementation of Extract, Transformation, and Load processes to enhance the frequency of updates of vehicles within online retail platforms.
  • Enhance monitoring and observability to offer improved insights into the present state of the system and its respective architecture.
VueJs
NestJs
MongoDB
Airflow
Python
Terraform
Flux
Kubernetes
AWS
GitHub actions

Success

xgeeks understood the main pain points that Mercedes-Benz was facing and pro-actively provided data, metrics and possible solutions to help achieve their goals

  • Ensure the maintenance of a stable infrastructure to support the operation of all necessary services.
  • Furnish dependable metrics concerning the potential scalability of the applications.
  • Be a reliable partner in assisting Mercedes-Benz in achieving their objective of reaching online sales to 25% by the conclusion of 2025.

900%

Increase in search speed

670%

Less data processing time
Success