Release software and data with confidence. We automate how your applications and data pipelines are built, tested and deployed on Microsoft Azure and Fabric, so changes reach people faster and stop breaking things.
One delivery pipeline, for apps and data
Software and data go through the same five stages. When both follow the same habits, releases get faster, reports stop breaking, and everyone can see what changed.
AppsWork tracked in one backlog, with a branching strategy everyone follows.
DataData contracts with source owners: what arrives, when, and in what shape.
AppsEvery commit builds automatically, with unit tests and code review.
DataPipelines, notebooks and models in Git, built and checked on every change.
AppsIntegration tests and security scans before anything is released.
DataData tests for freshness, completeness, duplicates and schema changes.
AppsApprovals and automated releases from development to test to production.
DataFabric and Power BI deployment pipelines promote content the same way.
AppsAzure Monitor and Application Insights watch performance and errors.
DataRun health, data freshness and failures alert the team in Microsoft Teams.
We set up DevOps on Microsoft Azure so your teams can build, test and release applications quickly, safely and the same way every time.
Build, test and release through Azure DevOps or GitHub Actions, with approvals where they matter and none where they don't.
Azure environments defined in Terraform or Bicep, reviewed in pull requests and rebuilt identically every time.
Code, dependency and configuration scanning in every build, with Azure Policy guarding what can be deployed.
Applications packaged with Docker and deployed to Azure Kubernetes Service (AKS) or Azure App Service.
Azure Monitor, Application Insights and dashboards that show how releases affect real users.
Staged roll-outs and a tested rollback plan for every release, so a problem is contained and quickly reversed.
What changes: faster, smaller releases, fewer production incidents and a full record of every change.
We apply the same discipline to data, so pipelines, models and reports change safely and the numbers your business relies on stay right.
Microsoft Fabric Git integration and deployment pipelines, Power BI projects and dbt, so data changes are reviewed and released like code.
Freshness, volume, uniqueness and schema tests that run with every change and every load, and stop bad data before it reaches reports.
Ingestion and transformation in Fabric Data Factory, Azure Data Factory or Databricks, with retries, dependencies and clear ownership.
Lineage, data quality rules and sensitivity labels with Microsoft Purview, aligned to how your business classifies data.
Run health, late or missing data and unexpected changes surfaced in one place, with alerts to the right people.
Model registry, automated training and deployment, and drift monitoring with Azure Machine Learning and MLflow.
What changes: data that arrives on time, problems caught before they reach reports, and analytics changes released with confidence.
Measurable outcomes
We measure where you start, then report the same numbers as we go, so improvement is visible rather than anecdotal. The first four are the industry-standard DORA measures of software delivery; the last two do the same job for data.
How often you release to production. Small, frequent releases carry less risk than big ones.
How long a change takes from commit to production. Shorter means faster answers to the business.
The share of releases that cause a problem. Automated tests and checks bring it down.
How quickly you recover when something goes wrong. Rollback and monitoring keep it short.
Whether data arrives when people expect it. Agreed targets, monitored and alerted.
How much of your critical data is protected by automated tests, and how often they pass.
How we work
We review how you build, test and release today, and measure where you're starting from.
We build pipelines, infrastructure as code and data tests for a pilot product or data domain.
We compare the measures with the baseline and harden security, approvals and monitoring.
We turn the pilot into templates for every team, with documentation and training.
How automation, testing and monitoring make software and data delivery faster and far more reliable.
Facing something similar? Talk to us about your use case.
What our clients say about us
Vilko Poznovia
Manager DS & ICT
Indigo
For our data platform, DATA LEAGUE and the team delivered a comprehensive data warehouse setup with a full DataOps implementation. The result was a markedly more secure environment and a streamlined deployment pipeline that has improved how we manage and release data infrastructure. The consultants brought deep technical expertise, clear communication, and a pragmatic approach to the engagement. We would not hesitate to recommend DATA LEAGUE to any organisation looking for a trusted data platform consulting partner.
Frequently Asked Questions
Whether you want safer software releases, data your reports can rely on, or both, we'll help you find the first change that makes the biggest difference. Book a free consultation to get started.
