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CubegleData · AI · Cloud
Service / DevOps

DevOps and Platform Engineering

We bring a Git-centric CI/CD workflow to data and analytics — so pipeline, model and dashboard changes deploy the same reliable way application code does.

Common challenges we solve

  • — Manual deployment steps prone to human error
  • — Infrastructure changes with no version control or reproducibility
  • — Limited visibility when a data job fails

Our approach

  1. 01Put pipelines, models and BI assets under version control
  2. 02Automate deployment through CI/CD rather than manual steps
  3. 03Add logging and monitoring so failures surface immediately

Capabilities

  • CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins)
  • Infrastructure as Code (Terraform)
  • Docker and Kubernetes
  • Monitoring and observability
  • Cloud cost optimization

Deliverables

  • — Automated CI/CD pipeline for data and analytics assets
  • — Infrastructure as Code for reproducible environments
  • — Monitoring and alerting dashboard

Related case studies

Let's talk about what your data should be doing for you

Tell us where you are today and where you're trying to get to. We'll respond with a clear, honest read on the path forward.

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Contact@cubegle.com