FinTech & digital lending · Secure delivery platform
From manually created infrastructure to controlled, auditable delivery
An Azure platform built around Terraform, Azure DevOps, environment separation, managed secrets and production approvals.
45 min
provisioning (from 3 days)
20 min
release time (from 2 hours)
100%
core infrastructure version-controlled
58%
fewer configuration incidents
In brief
A digital lending platform needed to release more often without weakening control, security or traceability. Resources were created manually, environments differed, and production deployment depended on individuals. ClimsTech built a reusable Azure foundation with Terraform, Azure DevOps, managed secrets, role-based access and controlled production gates — control designed into the workflow rather than added as a final approval.
Working constraints
- Sensitive customer and financial data
- Multiple application environments
- Existing manually created Azure resources
- Availability expectations for critical workflows
- Different access requirements by team
- Need for change traceability
- Limited tolerance for production configuration drift
The problem
What was actually going wrong
The platform supported sensitive financial workflows. Speed was important, but every infrastructure and application change also needed to be controlled, reviewable, and recoverable. Cloud resources were created manually, environments differed, secrets management was inconsistent, and production deployment depended heavily on individual engineers.
What discovery surfaced
- 1Lower and production environments were structurally different.
- 2Infrastructure changes lacked consistent review.
- 3Secrets were distributed across pipeline and application configuration.
- 4Production deployment relied on key individuals.
- 5Access permissions exceeded operational need in some areas.
- 6Rollback and approval procedures were not standardised.
The engineering
What we built and changed
1Infrastructure as Code
Reusable Terraform modules covered networking, compute, storage, monitoring, identity, and application foundations.
2Delivery pipeline
Azure DevOps automated build, testing, validation, and deployment, with explicit approval required at production stages.
3Secrets and identity
Sensitive configuration moved into managed secret storage, and RBAC was aligned with team responsibility and environment.
4Availability
Critical components were reviewed for redundancy, failure handling, and deployment continuity.
5Governance
Change history, approval, pipeline evidence, and infrastructure state were connected into a traceable release model.
The team moved from console-led administration to reviewed, repeatable, and auditable delivery.
The architecture
Before and after
- Manual Azure resource creation
- Structurally inconsistent environments
- Secrets distributed across pipelines and config
- Individual-dependent production deployment
- Ad hoc access permissions
- No standardised rollback or approval procedures
- Terraform modules
- Development environment
- UAT environment
- Production environment
- Managed secrets
- Role-based access
- Azure DevOps
Judgement calls
Decisions that shaped the outcome
Why version-control infrastructure?
Infrastructure change needed the same review discipline as application code.
Why separate approval from build?
Production authorisation should not depend solely on the engineer who created the release.
Why reusable modules?
Modules standardised architecture while still allowing environment-specific capacity and configuration.
Verified outcomes
What changed for the business
- Provisioning reduced from 3 days to 45 minutes
- Release duration reduced from 2 hours to 20 minutes
- Core infrastructure moved under version control
- Configuration incidents reduced by 58%
- Critical security findings reduced by 64%
- Deployment frequency increased from weekly to three times per week
- Rollback time reduced by 70%
What this engagement proves
Secure delivery is strongest when control is designed into the workflow instead of added as a final approval layer.
Field notes on this class of problem
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