endorsedOngoing

Notification Microservice for SaaS Platform

Services Covered:

Custom Software Development

Industry

Information Technology

Duration

55 months

Budget

200K - 999K

Start Date

1 January 2022

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

73/100

Good

Project Capability Score (PCS) estimates how capable Huenei IT Services 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

Quantified

Boca Raton, United States of America

Project Summary

Huenei IT Services developed a Rust-based notification microservice engine for a SaaS company, implementing Ruby on Rails and Angular components and providing ongoing production support. They also built a machine learning model to analyze and categorize hundreds of thousands of previously sent emails to inform notification logic. The engagement enabled a migration to the new microservice and the partnership communicates biweekly via Slack and uses Jira for tracking. The client is Quantified, a SaaS sales-training platform that uses AI to simulate audience responses.

Key Challenges

We needed help with the development feature builds for the SaaS product.

Project Deliverables

Machine learning model to scan and categorize previously sent emails.
Rust-based notification microservice for the customer side of the platform (integrated with Ruby components).
Angular front-end components.
Preferences microservice engine to determine which users should receive notifications.
Production support and triage for customer issues.

Project Solution

Huenei analyzed the customer's high-volume email sends and built a machine learning model to scan and categorize previously sent emails. They developed a Rust-based notification microservice (with Ruby components) and Angular front-end pieces to implement a preferences engine that determines which users should receive notifications at a given time. The team also provides production support—triaging and fixing root issues for customers.

Project Outcome

Solved existing problems within a week allowing migration to the new microservice.
Delivered on time and within budget.
Implemented improvements rapidly, often within a few days of feedback.

Platforms

SaaS
AI/ML Platform

Tech Stack

Ruby on Rails
Angular

Client Endorsement

Overall Review Rating

4.63

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Huenei IT Services quickly solved the client's initial complicated problem, allowing them to migrate to the new microservice and streamline their services. The partnership works smoothly since Huenei IT Services is quick to implement improvements. The partners meet biweekly and communicate on Slack.”
Charla Kunkel
VP of Engineering
Date: 07/22/2022