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Projects and results

From complexity
to production.

Platforms that enable work, migrations that reshape infrastructure, and automation that lives in code. The technical experience behind UrsusOps.

01 / CLOUD PLATFORM

DELIVERED TO PRODUCTION

A data platform.
Ready for production.

THE OBJECTIVE

Deploy applications and data services for separate projects while maintaining shared configuration and a controlled release process.

THE WORK

We delivered a production platform on Azure Kubernetes Service. Infrastructure as Code, CI/CD pipelines and GitOps connect provisioning, checks and service deployment.

FROM CODE TO PLATFORM
01Code
02CI / checks
03GitOps
04Kubernetes

Our contribution.

  • An AKS platform and Helm templates for applications and data services.
  • Shared CI/CD pipelines, image scanning and versioned configuration.
  • Controlled releases with Argo CD and separate environments.
  • An API gateway, automated DNS and TLS, and centralised metrics and logs.
THE RESULT

Manageable test and production environments, traceable releases and a reusable foundation for new workloads.

Azure AKSTerraformAnsibleHelmArgo CDGitLab CI/CDPrometheusGrafanaLoki

02 / DATA WORKFLOWS & AI

DELIVERED TO PRODUCTION

From data to workflows.
From workflows to results.

THE OBJECTIVE

Enable users to compose data workflows, start processing jobs and retrieve results and logs within their project workspace.

THE WORK

We delivered a production environment for building and running pipelines through a visual interface. Kubernetes, orchestration and storage connect processing, results and publication.

FROM WORKFLOW TO OUTCOME
01Workflow
02Orchestration
03AI services
04Results

Our contribution.

  • A visual environment and notebooks based on Amphi and JupyterHub.
  • Job orchestration with Dagster, APIs built with FastAPI and S3 storage.
  • Integration of AI services for OCR, entity extraction and computer vision.
  • Application images, CI/CD pipelines and GitOps configuration updates.
THE RESULT

An operational workflow connecting visual tools, processing services and data delivery.

KubernetesAmphi / JupyterHubDagsterPython / FastAPIS3Argo CDGitLab CI/CD

AI INTEGRATED INTO WORKFLOWS

AI with a practical purpose.

01 / OCR

Turn document images into usable text.

02 / ENTITY EXTRACTION

Identify people, places, dates and organizations in text.

03 / COMPUTER VISION

Integrate image analysis services into data processing.

The next step: an AI assistant for pipelines PROOF OF CONCEPT

Development and integration of an assistant that interprets requests and prepares pipeline proposals. Creation requires confirmation; opening and execution remain under the user’s control. This component is a proof of concept, separate from the platform’s production launch.

COMPLETED MIGRATIONS

Change the environment.
Keep the work moving.

From the datacenter to the cloud, between cloud providers, and towards managed identity and collaboration services.

01
ON-PREMISESAWS / AZURE

From the datacenter to the cloud

Migration of workloads from on-premises environments to AWS and Azure.

Cloud migrationAWSAzure
02
AZUREAWS

From one cloud to another

Migration of workloads from Azure to AWS, including the transition to the target environment.

Cloud-to-cloudAWSAzure
03
ACTIVE DIRECTORYHYBRID CLOUD

Identity in a hybrid environment

Integration of Active Directory identity with cloud environments in a hybrid model.

Active DirectoryHybrid identity
04
ACTIVE DIRECTORYMICROSOFT ENTRA ID

Identity in the cloud

A full migration from Active Directory to Microsoft Entra ID.

Entra IDIdentity migration
05
EXCHANGE ON-PREMISESEXCHANGE ONLINE

Email on Microsoft 365

Migration of email services from Exchange on-premises to Exchange Online.

Exchange OnlineMicrosoft 365

THE NEXT PROJECT

Facing a similar challenge?
Let’s start there.

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