Pipelines your auditors and engineers both trust.

We design, migrate and run Azure DevOps for teams shipping to multi-environment, regulated estates — YAML pipelines, gated releases, infrastructure as code, and the guardrails that keep production boring.

Book a pipeline assessment Engagement models

PIPELINE · release/2026.11azure-pipelines.yml

Build & packagePASSED

Unit & integration testsPASSED

Security & dependency scanPASSED

Deploy → devDEPLOYED

Deploy → tstDEPLOYED

Deploy → uatAWAITING APPROVAL

Deploy → prodGATED · CHANGE WINDOW

SOUND FAMILIAR?

When releases feel risky, the pipeline is the problem.

Releases depend on one person who knows the scripts.

When they're on vacation, nothing ships. We turn tribal knowledge into versioned templates anyone on the team can run.

Dev, test, UAT and prod have quietly drifted apart.

"Works in test" stops meaning anything. Infrastructure as code and drift checks bring every environment back into line.

Classic release pipelines nobody wants to touch.

We migrate legacy classic and GUI-built releases to multi-stage YAML in planned waves, without freezing delivery.

What we deliver

Everything lives in your Azure DevOps organization, in your repos, documented in your wiki.

YAML pipeline architecture

Multi-stage pipelines built on a shared template library, so fifty repos follow one standard and fixes land everywhere at once.

Environments & approvals

Gated promotion from dev → tst → uat → prod with checks, approvers, business-hours windows and a full audit trail.

Infrastructure as code

Bicep or Terraform for every resource, with plan reviews in pull requests and scheduled drift detection.

Data platform CI/CD

Repeatable deployments for Azure Data Factory, Databricks and SQL — the pipelines most teams still release by hand.

Security & compliance

Workload-identity service connections, Key Vault secrets, least-privilege permissions and scan gates your security team signs off on.

Boards, repos & governance

Branch policies, work-item flow and delivery reporting that tie every deployment back to the change that requested it.

SELECTED WORK

Built and run in production.

From six-plus years running Azure DevOps for enterprise data platforms (many products, five environments each).

COST CONTROL

Thousands / year

Estimated compute savings from a Data Factory pause/resume trigger that idles the data warehouse between processing runs, deployed per environment.

RELEASE GOVERNANCE

5 environments per product

50+ environments under release control for a large-scale data platform: QA, UAT and production deployments plus hotfixes, with the authority to halt any hotfix that wasn't safe to ship.

ONE-CLICK PROMOTION

Three analytics platforms as code

Data Warehouse, Data Lake, SQL Server and Data Factory delivered as linked ARM templates and DACPAC pipelines that promote to the next environment in one click.

SECRETS & IDENTITY

No more lost secrets

A master Key Vault system per environment, managed identities for SQL, Data Lake and Data Factory, automatic vault backups before production deploys, and a deployment-readiness check.

SECURITY GATES

Scanning on every pull request

Snyk dependency scans in Azure Pipelines on each PR plus scheduled portfolio scans, and dynamic (DAST) scans with Beam.

SELF-REPORTING OPS

Failures that file their own tickets

Pipeline failures open a Jira story and log repeats as comments; a scheduled end-of-life scan flags outdated Node, Python and dbt runtimes before they break.

How we work

01 · ASSESS

Audit what's there

Repos, pipelines, service connections and environments, scored against a written standard.

02 · BLUEPRINT

Design the target

Reference architecture, template library plan and a migration sequence ranked by risk.

03 · BUILD

Migrate in waves

Pilot one service end to end, then roll the pattern out while your team keeps shipping.

04 · RUN

Hand over or stay on

Runbooks and training for your engineers, or managed support on a monthly retainer.

Engagement models

FIXED SCOPE

Pipeline Assessment

A written audit of your Azure DevOps estate with a prioritized remediation roadmap.

$4,5002 weeks · fixed fee

MOST CHOSEN

Modernization Project

Template library, YAML migration, IaC and environment gates — delivered against acceptance criteria.

From $18,000Scoped per estate

RETAINER

Managed DevOps

Ongoing pipeline ownership, release support and improvements, with a monthly report.

$3,500 / monthMonth to month after first 3 months

Questions

Make your next release boring.

Thirty minutes, your pipelines on screen, honest advice.

Book a discovery call webologist@enterprisesoftware.biz (706) 832-9632

PAIRS WELL WITHES-02 · Web Applications ES-03 · AI Engineering