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Drone Image-Processing Pipeline & GCP Infrastructure

Services Covered:

AI and Machine Learning • Cloud Infrastructure Management • Web Application Development
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Industry
Industry

Agriculture

Duration
Duration

11 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 June 2022

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
73/100
Good

Project Capability Score (PCS) estimates how capable DevelopsToday 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

Synapse Team

mapKyiv, Ukraine

Project Summary

DevelopsToday built an image-processing pipeline for drone footage and restructured the client's Google Cloud infrastructure using Kubernetes and GPU instances for an AgroTech software client. They automated deployments with CI/CD, configured monitoring, and optimized the backend for horizontal scaling to support on-demand GPU processing. The agile team integrated into the client's processes and helped broaden the client's reach.

Key Challenges

  • Build an image-processing pipeline for drone footage
  • Migrate and configure infrastructure on Google Cloud with Kubernetes and GPU instances
  • Automate deployments via CI/CD and configure monitoring
  • Optimize pipeline for on-demand GPU processing (spot instances)

Project Deliverables

  • New Google Cloud infrastructure with Kubernetes and GPU support
  • CI/CD automation for deployments
  • Monitoring solution configuration
  • Image-processing pipeline for drone footage
  • AI post-processing features

Project Solution

DevelopsToday designed and deployed a new Google Cloud infrastructure using Kubernetes and GPU-equipped nodes, configured spot/on-demand instances for GPU workloads, and automated deployments through CI/CD. They implemented monitoring and horizontal-scaling improvements and built an optimized image-processing pipeline for drone footage with integrated AI post-processing.

Project Outcome

  • Restructured core Google Cloud Kubernetes clusters with GPU devices
  • Delivered cost-effective on-demand GPU image-processing solutions
  • Improved backend scalability via horizontal-scaling enhancements, broadening audience reach
  • Built a new image-processing pipeline and integrated AI post-processing features

Platforms

  • CloudCloud

Tech Stack

  • Google Cloud Platform (GCP)Google Cloud Platform (GCP)

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“DevelopsToday successfully restructured the client's core Google Cloud infrastructure, helping them broaden their reach and expand their target audiences. The agile team led a transparent workflow and rapidly integrated into the internal team. They impressed with their in-depth industry knowledge.”

Roman Barbotkin

CEO

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

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