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Cloud & DevOps Migration and JupyterHub for AI Solutions Company

Services Covered:

DevOps • Cloud Consulting and Services • Staff Augmentation • Software Product Development
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Industry
Industry

Financial Services

Duration
Duration

33 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 January 2023

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
79/100
Good

Project Capability Score (PCS) estimates how capable Out.Cloud 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

Sigtech

mapLondon, United Kingdom

Project Summary

Out.Cloud provided cloud and DevOps consulting to an AI solutions firm (Sigtech), migrating CI from Jenkins to GitHub Actions, refactoring infrastructure-as-code into a single Terragrunt-managed repository, and building JupyterHub. They also supported a rewrite of the client's monolithic SaaS into microservices (Istio, ArgoCD, Redis, RabbitMQ) and migrated infrastructure from AWS to Azure with no downtime. The engagement reduced costs, met deadlines, and delivered high-quality engineering support via virtual meetings.

Key Challenges

  • Migration from AWS to AZURE
  • Migration from Jenkins to Github Actions
  • Set-up Github Actions runners on Kubernetes
  • Building out Jupyterhub for Hedge Fund client
  • Supporting the re-writing of the SaaS from monolithic to microservice based

Project Deliverables

  • Refactoring of IaC into a single repository using Terragrunt
  • Migration from Jenkins to GitHub Actions with self-hosted runners
  • Setup of GitHub Actions runners on Kubernetes
  • Rewriting the SaaS from a monolith to microservices using Istio, ArgoCD, Redis and RabbitMQ
  • Migration of infrastructure from AWS to Azure with parity and no downtime
  • Built out JupyterHub for the hedge-fund use case

Project Solution

Out.Cloud refactored the client's IaC into a single repository and adopted Terragrunt; migrated CI from Jenkins to GitHub Actions and deployed self-hosted runners (on Kubernetes) for cost-optimized workloads; supported a year-long monolith-to-microservices rewrite using Istio, ArgoCD, Redis and RabbitMQ; migrated the platform from AWS to Azure achieving parity with no downtime; and built out JupyterHub for the hedge-fund use case. The vendor staffed 2-5 teammates (2-3 engineers) and upskilled to deliver Azure parity on a blank canvas.

Project Outcome

  • Meeting deadlines
  • Reduction in costs
  • Consistent on-time delivery and responsiveness to feedback
  • High-quality engineering resources

Platforms

  • CloudCloud
  • AI/ML PlatformAI/ML Platform

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • AzureAzure
  • RedisRedis
  • GitHub ActionsGitHub Actions
  • RabbitMQRabbitMQ

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Out.Cloud successfully helped the client reduce costs, marking the collaboration's success. The team consistently meets deadlines and is always open to constructive criticism. Moreover, their engineers are highly skilled and deliver high-quality services. The partners interact via virtual meetings.”

Dimuthu Muththettuwage

Director of Infrastructure

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

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