EndorsedendorsedOngoing

AWS Infrastructure and Data Lake for Industrial IoT

Services Covered:

IoT Development • Cloud Infrastructure Management • Data Engineering • Big Data Analytics and Business Intelligence
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Industry
Industry

Engineering & Manufacturing

Duration
Durationinfo-circle

20 months

Budget
Budget

Confidential

Start Date
Start Date

1 August 2016

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
76/100
Good

Project Capability Score (PCS) estimates how capable OS-System 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

mapBoston, United States of America

Project Summary

OSSystems augmented an existing development team to build an AWS-based infrastructure that collects industrial IoT sensor data into a consolidated data lake and produces visualizations and predictive analytics. The engagement began in 2016 and is ongoing; the vendor's team (fluctuating between eight and 11 members) integrated well with the client using Agile processes. The client praised OSSystems for strong collaboration, communication, and project management through tools like Jira and Slack.

Key Challenges

  • Needed to augment internal developers to build an AWS infrastructure
  • Required ingestion of IoT sensor and equipment data into cloud storage and parsing
  • Complex database and system integration to aggregate a data lake and enable analytics

Project Deliverables

  • AWS infrastructure for IoT device data collection
  • Aggregated data lake for storage and parsing
  • Visualizations and predictive analytics dashboards
  • Database and system integrations

Project Solution

OSSystems supplemented the client’s development team to build an AWS infrastructure supporting industrial IoT devices. The work included collecting sensor and equipment data, cloud storage and parsing, aggregating a data lake, and building visualizations and predictive analytics. The engagement involved extensive database and system integration and a fluctuating team of roughly eight to 11 engineers; collaboration was coordinated through Agile practices and tools such as Jira and Slack.

Project Outcome

  • Completed several prototype customer projects
  • Fluid communication and strong collaboration between teams
  • Effective Agile integration using Jira and Slack, resulting in excellent project management

Platforms

  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • JiraJira

Client Endorsement

Overall Review Rating

4.75star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The OSSystems team brings a wide range of skill sets to deliver quality work that fits together well. Bringing their team into ours has gone smoothly and effectively. Their focus on collaboration and communication has been key to building a long-term partnership.

Anonymous

Co-Fonder

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

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