EndorsedendorsedOngoing

AWS Infrastructure and Data Lake for Industrial IoT

Services Covered:

IoT DevelopmentCloud Infrastructure ManagementData EngineeringBig Data Analytics and Business Intelligence
Project hero — replace with case study imagery
Industry
Industry

Engineering & Manufacturing

Duration
Duration

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 employs a broad variety of skill sets to create high-quality, cohesive deliverables. The team integration process has been fluid and effective. Emphases on collaboration and communication have been key in developing 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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