endorsedCompleted

Kafka Streaming Infrastructure for Fashion Retailer (LPP)

Services Covered:

Custom Software Development

Industry

Apparel and Fashion

Duration

3 months

Budget

10K - 49K

Start Date

1 February 2019

Team Size

1-5 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

68/100

Good

Project Capability Score (PCS) estimates how capable SoftwareMill is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

LPP

Poland

Project Summary

SoftwareMill built a Kafka-based streaming infrastructure for a fashion company (LPP), constructing a Kafka-on-Kubernetes cluster that ingests on-premises sources and streams data in real time to Google Cloud. The two-person team (DevOps engineer and Java programmer) delivered the solution within a three-month engagement, enabling machine-learning deployments and improved competitiveness.

Key Challenges

Implement a Kafka cluster and streaming technologies for real-time analytics
Lack in-house Kafka streaming competencies and needed external expertise

Project Deliverables

Streaming infrastructure
Kafka on Kubernetes cluster
Real-time data transfer to Google Cloud
Integration with on-premises data sources

Project Solution

SoftwareMill built a real-time streaming infrastructure using a Kafka cluster deployed on Kubernetes, initially using the Kafka String API and later switching APIs as needed. They integrated on-premises data sources, used Redis and MySQL for storage and BigQuery for analytics, and delivered connectors that transfer data to Google Cloud. The engagement was executed by two engineers (a DevOps engineer and a Java programmer) over a three-month period.

Project Outcome

Enabled deployment of machine learning algorithms and improved competitive positioning
Delivered a ready-to-use infrastructure with documentation and internal files
Met the three-month timeline and handled API changes smoothly

Platforms

Cloud

Tech Stack

Java
Redis
MySQL

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“SoftwareMill completed the project within the three-month timeline, delivering an efficient and competitive solution. They’re flexible, taking scope changes in stride. Their responsive team is dedicated to learning new information to satisfy their client.”
Szymon Chojnacki
Big Data Architect, LPP at LPP
Date: 04/20/2026