Enosis Outsourcing logo
EndorsedendorsedCompleted

Kubernetes Migration and GitOps Automation for Diffusion Cloud

Services Covered:

Custom Software Development • Cybersecurity • Software Maintenance and Support
Project hero — replace with case study imagery
Industry
Industry

Cloud & Network Security

Duration
Duration

21 months

Budget
Budget

Confidential

Client Size
Start Date

1 October 2021

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable CloudGeometry 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

DiffusionData

mapLondon, United Kingdom

Project Summary

CloudGeometry migrated the client's Diffusion Cloud platform to a Kubernetes-based architecture and implemented automation, GitOps pipeline practices, and technical support. Their work reduced configuration errors across environments and stabilized release cycles, enabling faster feature availability and more confident development. The client praised the team's responsiveness and breadth of experience.

Key Challenges

  • Transition the Diffusion Cloud platform to a Kubernetes-based architecture
  • Manage a rapidly increasing influx of feature requests and integration opportunities
  • Resolve bottlenecked back-end data infrastructure dependencies
  • Upgrade and enforce security policies

Project Deliverables

  • Kubernetes-based platform migration
  • Modularized provisioning logic
  • Automated configuration and validation process on a GitOps pipeline
  • Single managed service using Vault secrets management

Project Solution

The vendor transitioned the Diffusion Cloud platform to a Kubernetes-based architecture, implemented modularized provisioning logic, and built an automated configuration and validation process on a GitOps pipeline. They also provided a single managed service using Vault secrets management and ongoing technical support to address backend infrastructure bottlenecks and security policy upgrades.

Project Outcome

  • Elimination of configuration errors between Dev, QA, Pre-prod, and prediction environments
  • More stable and predictable release cycles
  • Faster customer access to new features
  • Product team able to add backend and frontend features without time-consuming end-of-release debugging

Platforms

  • CloudCloud

Tech Stack

  • Vault (Hashicorp)Vault (Hashicorp)

Client Endorsement

Overall Review Rating

4.5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“CloudGeometry’s work resulted in reduced configuration errors, effectively stabilizing the platform. The team was highly responsive from a workflow standpoint, and internal stakeholders were particularly impressed with the service provider's breadth of experience and knowledge.”

Anonymous

Head of Engineering

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