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EndorsedendorsedOngoing

Staff Augmentation & Scalable Architecture for Risk Management Company

Services Covered:

DevOps • Managed IT Services • Staff Augmentation
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Industry
Industry

Financial Services

Duration
Durationinfo-circle

55 months

Budget
Budget

Confidential

Start Date
Start Date

1 January 2020

Team Size
Team Size

11-15

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
81/100
Strong

Project Capability Score (PCS) estimates how capable KindaLab 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

G2 Web Services

mapSeattle, United States of America

Project Summary

KindaLab provided staff augmentation for a risk management company, designing and developing a scalable architecture integrating Storm Crawler, Elasticsearch, and custom Java and Ruby applications. The vendor managed project management responsibilities, met deadlines, conducted regular health checks, responded promptly to requests, and supplied strong engineering resources.

Key Challenges

  • Work contracting and augmented staffing

Project Deliverables

  • Architecture Design: Planning and designing a scalable architecture integrating Storm Crawler, Elasticsearch, and custom Java and Ruby applications
  • Development: Implementing the crawling mechanism using Storm Crawler and developing custom Java and Ruby applications for data processing and violation analysis
  • Integration: Ensuring seamless integration of all components to facilitate smooth data flow from crawling through to analysis and reporting
  • Testing and Optimization: Rigorous testing to meet performance benchmarks and optimization of algorithms for efficient violation detection
  • Documentation: Comprehensive documentation including system architecture, API specifications, and operational manuals

Project Solution

KindaLab designed a scalable architecture and implemented a crawling and processing pipeline. The vendor implemented the crawling mechanism using Storm Crawler, developed custom Java and Ruby applications for data processing and violation analysis, integrated Elasticsearch, and ensured end-to-end integration across components. They performed testing and optimization to meet performance benchmarks and produced comprehensive system and API documentation.

Project Outcome

  • Regular health checks
  • Met deadlines and resource requirements
  • All Kindalab due dates were met despite priority changes
  • Responded quickly and promptly to requests from the client
  • Provided high-quality engineering resources and professional work ethic
  • Addressed and fixed any concerns promptly

Platforms

  • WebWeb

Tech Stack

  • ElasticsearchElasticsearch
  • JavaJava
  • RubyRuby

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“KindaLab has been responsible for project management, meeting deadlines, providing resource requirements, and conducting regular health checks. The team offers prompt responses, has great engineering resources, and showcases professionalism and a strong work ethic, meeting the client's expectations.”

Brenton Morton

Director

Note: This endorsement is based on publicly available client feedback from external review sources.