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Case studies

Selected delivery, reliability, and cloud optimization outcomes from past engagements.

Privacy and security note

Client names and architecture-specific details are intentionally anonymized due to NDA and security policy. Results and scope are representative of real delivery work.

Cloud cost reduction with safer scaling

Challenge: Cloud spend was growing faster than product usage, while scaling behavior still needed to remain reliable.

Work delivered: Executed rightsizing and lifecycle cleanup, then tuned autoscaling and resource policies.

Outcome highlights

  • About 50% lower cloud spend after optimization phase
  • Improved autoscaling responsiveness during traffic variation
  • Cost controls aligned to delivery workflow

Client profile

AdTech Platform North America

Technology tags

AWS Terraform Ansible Docker FinOps

Deployment acceleration in regulated environment

Challenge: Slow, complex deployment path was limiting release cadence and creating delivery friction across teams.

Work delivered: Optimized CI/CD flow, simplified release orchestration, and improved infrastructure process consistency.

Outcome highlights

  • 40-50% shorter deployment time
  • Clearer release process with lower operational friction
  • Better engineering throughput under compliance constraints

Client profile

Financial Services Regulated UK

Technology tags

AWS Azure GitLab Kubernetes Terraform Ansible

Infrastructure automation and observability uplift

Challenge: Operations relied on manual steps and low-signal monitoring, which increased incident recovery time.

Work delivered: Automated infrastructure and delivery paths, then improved monitoring and alert quality for key services.

Outcome highlights

  • Higher automation level across app and infrastructure operations
  • Improved observability for critical service paths
  • Fewer low-value alerts and clearer incident triage

Client profile

Content Platform North America

Technology tags

AWS Node.js RabbitMQ Cassandra PostgreSQL Grafana

Multi-cloud standardization for industrial workloads

Challenge: The organization needed one consistent way to deploy and operate workloads across cloud and on-premise environments.

Work delivered: Standardized deployment and runtime patterns on Kubernetes with shared operational guardrails.

Outcome highlights

  • Deployment model unified across multi-cloud and on-prem contexts
  • New environment setup reduced from weeks to days
  • Operational consistency improved across distributed teams

Client profile

Industrial IoT Platform EU

Technology tags

Kubernetes AWS Azure Terraform Ansible Kafka RabbitMQ

On-premise to cloud migration with cost control

Challenge: Legacy on-premise infrastructure was expensive to operate and hard to scale for modern delivery needs.

Work delivered: Migrated workloads to cloud, rebuilt delivery foundation with IaC, and introduced observability baseline.

Outcome highlights

  • Around 40% savings versus previous on-demand equivalent spend
  • Modernized deployment flow with stronger operational visibility
  • Lower maintenance overhead and improved scalability

Client profile

Software Consulting Migration UK

Technology tags

AWS Docker Terraform Ansible Grafana Migration

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