endorsedOngoing

ETL Product Maintenance & Support for Machine Learning Firm

Services Covered:

Custom Software Development • Software Maintenance and Support • Software QA and Testing • DevOps • Cloud Consulting and Services

Industry

Information Technology

Duration

53 months

Budget

Confidential

Start Date

1 March 2022

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

69/100

Good

Project Capability Score (PCS) estimates how capable devopsbay 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

Confidential

Columbus, United States of America

Project Summary

A machine-learning development firm engaged Devopsbay to take over development support and maintenance for an existing ETL product while the client's internal team focused on building a new product. Devopsbay assumed engineering ownership of a 10-year-old ETL platform and provided customer support, QA, DevOps, and production infrastructure management across US and EU environments. The client reported strong communication, project management, and flexibility and grew the product's customer base from 150 to 350.

Key Challenges

Maintain and support a 10-year-old product while building a new product
Transfer development support and maintenance to the vendor so the internal team can focus on the new product

Project Deliverables

Took over engineering and maintenance of a 10-year-old ETL product
Customer support and field-issue triage and resolution
QA and testing (developer, end, and integration testing)
DevOps and production infrastructure management
Maintenance of two production environments (US and EU) and development environments

Project Solution

Devopsbay took over full engineering ownership of a 10-year-old ETL product, handling coding, customer support, and triage of field-reported issues. They managed the testing process (QA, developer, end, and integration testing), implemented DevOps practices, and maintained production and development infrastructure across two production environments (US and EU). The work included use of Java, Scala, Spark, MongoDB and TeamCity.

Project Outcome

Grew the product's customer base from about 150 to about 350
Successfully scaled and maintained an existing mature product while supporting growth
Improved project management with a suitable manager and ongoing operational ownership
Effective communication using JIRA, Slack, Google Meet and email

Platforms

AI/ML Platform

Tech Stack

Java
Scala
Apache Spark
MongoDB

Client Endorsement

Overall Review Rating

4.25

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Thanks to the expertise of Devopsbay, the company is able to significantly grow their customer base from 150 to 350. The team excels in communication and project management, but internal stakeholders are particularly impressed with their development flexibility.”
Anonymous
Sr. Engineering Manager
Date: 08/10/2022