Deep Learning Platform and End-User App Development
Services Covered:

Industry
Information Technology
Duration
23 months
Budget
1M - 10M
Start Date
1 January 2017
Team Size
11-15 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
74/100
Good
Project Capability Score (PCS) estimates how capable devopsbay 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
Project Summary
Devopsbay built a Kubernetes-based deep learning platform and managed full-stack development of an end-user application for an enterprise machine learning company. The team handled orchestration, cloud deployment (on-premise and AWS), and deployed the product to multiple customers. The delivered software was functionally stable and became a leading product in the industry, and the vendor demonstrated strong technical knowledge in Kubernetes and DevOps.
Key Challenges
- Needed a development partner to help build their software
Project Deliverables
- Deep learning platform (Kubernetes-based orchestration)
- On-premise and AWS-hosted deployment
- Frontend application
- Backend application
- Customer deployments
Project Solution
Devopsbay developed the majority of the software orchestration using Kubernetes, handled cloud deployment and automation, and hosted the platform both on-premise and on AWS. The team deployed the software for several customers and built both the frontend and backend of the end-user application, using a technology stack that included Kubernetes, AWS, Python, and Go.
Project Outcome
- Delivered the software to multiple customers ahead of competitors
- Product became a leading, stable solution in the industry
- Used Jira and GitHub for project management
Platforms
Cloud
Tech Stack
Amazon Web Services (AWS)
Python
Go
Client Endorsement
Overall Review Rating
4.5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Devopsbay delivered a functionally stable and satisfactory software that led the industry. Technically knowledgeable, the team leveraged multiple technologies skillfully to support effective collaboration.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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