Case studies

Selected delivery, reliability, and cloud optimization outcomes — described at a level that protects client environments while showing how the work creates value.

Confidentiality by default

Client names and architecture-specific details are intentionally anonymized due to NDA and security policy. We focus on the operational problem, the kind of change delivered, and the resulting improvement — never on exposing a client’s infrastructure.

Repeatable AWS environments for development, defect reproduction, and CI

Challenge: The team needed isolated environments to reproduce client issues, validate new components during development, and run automated tests in CI. Manual provisioning took days and introduced configuration errors.

Work delivered: Codified the complete provisioning process: Terraform modules created the AWS infrastructure, while Ansible modules configured the hosts. Reusable modules supported different environment types and use cases.

Outcome highlights

Environment creation reduced from days to hours
Client issues could be reproduced in isolated, repeatable environments
Developers and CI pipelines could provision environments for component testing
Infrastructure and host configuration became reviewable, reusable, and scalable
Human error was reduced by replacing manual steps with code

Client profile

Financial Services Enterprise EU

Technology tags

AWS Terraform Ansible GitLab CI

Reducing the cost of long-running debugging environments

Challenge: Large AWS environments used to reproduce client issues had to remain available for weeks or months. EC2 storage and database performance costs continued accumulating even when the environments were not actively used.

Work delivered: Implemented automation that reduced storage performance settings and other running costs during inactive periods, then restored the original IOPS and instance values before the environment was used again.

Outcome highlights

Storage and database performance costs were reduced by more than an order of magnitude during inactive periods
Large debugging environments remained available without generating their full operating cost
Original capacity and performance settings were restored automatically when needed
Cost optimization became part of the environment operating workflow

Client profile

Financial Services Enterprise FinOps

Technology tags

AWS EC2 RDS Terraform

Standardized CI delivery flow for multiple applications

Challenge: Several applications used inconsistent build and validation processes. The team needed a common way to build, test, scan, tag, and publish container images.

Work delivered: Designed a reusable GitLab CI flow that built Docker images, ran validation and security checks, generated reports, applied version tags, and published approved images to a registry. Each pipeline stage produced results that were aggregated into a single report.

Outcome highlights

One repeatable delivery flow across multiple applications
Consistent container build, testing, scanning, tagging, and publishing
Aggregated reports covering test results, vulnerabilities, artifact versions, and release metadata
Less duplicated pipeline logic and clearer release-readiness signals

Client profile

Financial Services Enterprise Developer Experience

Technology tags

GitLab CI Docker Security Scanning Container Registry

From stalled Azure migration to a repeatable AWS foundation

Challenge: The client had an improvised Azure and Kubernetes setup for a banking screening application. A planned migration had stalled for approximately a year while the internal DevOps engineer was overloaded.

Work delivered: Using OPSd modules, we built an AWS foundation with EKS, databases, and load balancers, then created Helm charts to deploy the application. The environment was designed for repeatable setup for demos and future migration work.

Outcome highlights

Repeatable AWS environment delivered in 3 weeks
EKS, databases, load balancers, and application deployment delivered as a working foundation
Migration work unblocked after approximately a year of internal delay
Infrastructure and application deployment codified for repeatable future environments

Client profile

RegTech Banking Screening EU

Technology tags

AWS EKS Terraform AWS Load Balancing Secrets Manager

From click-ops to a scalable, self-service EKS platform

Challenge: The staging and production environments had evolved through manual configuration and depended heavily on individual developers’ knowledge. Previous infrastructure-as-code work was no longer maintained.

Work delivered: We took ownership of both environments and rebuilt the deployment foundation from scratch using Terraform and Helm. The platform was moved from ECS to EKS and equipped with automation, scalability, monitoring, and documented operating procedures.

Outcome highlights

Staging and production environments fully described as code
Repeatable deployment foundation based on Terraform and Helm
Migration from ECS to EKS with automated and monitored operations
Developers can independently manage routine changes such as secrets, environment variables, and selected access permissions
Ongoing infrastructure ownership and evolution without creating dependency for everyday changes

Client profile

Sports Analytics Platform Managed Operations

Technology tags

AWS EKS Fargate Terraform GitHub Cloudflare

Multi-cloud delivery foundation without heavy refactoring

Challenge: The business needed to reduce dependency on a single cloud provider and remain operational if provider policies or availability changed.

Work delivered: Standardized infrastructure-as-code, delivery workflows, and rollout automation so the same application could run on AWS and DigitalOcean in parallel, using portable deployment and operational patterns.

Outcome highlights

Application environments ran on two cloud providers in parallel
Workloads could be moved without a major refactoring effort
Deployment and infrastructure patterns remained consistent across providers
Provider dependency risk was reduced while keeping operations repeatable

Client profile

AdTech Platform North America

Technology tags

Terraform Ansible Docker Bitbucket DigitalOcean

Have a similar problem in your environment?

Share the current constraint without sending sensitive architecture details. We will help identify the likely technical scope and the fastest safe path to measurable improvement.

Discuss your situation