Overview
End-to-end DevOps transformation of a mission-critical trading platform. The solution migrated on-premise infrastructure to Google Cloud Platform (GCP) Private Cloud, implemented a robust CI/CD pipeline, and established a secure, compliant, and highly available environment to ensure uninterrupted trading operations.
Client
-
Country of origin: Confidential (Europe-based financial institution)
-
Industry: Capital markets / trading systems
-
Scale: Thousands of daily transactions, high-frequency trading workloads, strict SLA and compliance requirements
-
Client type: Enterprise (regulated, mission-critical system)
-
Website: (confidential, NDA)
Challenge
The client’s trading system ran on aging on-premise infrastructure that no longer met performance, scalability, or compliance needs. Key issues included:
-
Limited scalability to handle peak trading volumes.
-
Long, risky deployment processes with downtime during releases.
-
Lack of robust disaster recovery and backup strategy.
-
Security risks and difficulty maintaining compliance in a dynamic regulatory environment.
-
Operational inefficiencies and high infrastructure costs.
Solution
We designed and implemented a DevOps-powered cloud migration to GCP Private Cloud, ensuring modernization without disrupting ongoing trading operations:
-
Cloud Migration & Infrastructure Setup
-
Lift-and-shift migration of the trading platform to GCP VPC.
-
Isolated network topology with VPN tunnels and interconnects for secure connectivity.
-
Compute Engine and Kubernetes Engine (GKE) clusters with autoscaling.
-
Infrastructure as Code (Terraform) for reproducibility and version control.
-
CI/CD Pipeline & Automation
-
Build and release pipelines using Cloud Build + Artifact Registry.
-
Automated testing integrated into CI.
-
Blue-green and canary deployment strategies for zero-downtime releases.
-
Automated configuration management with Ansible/Terraform.
-
Monitoring & Observability
-
Centralized logging, metrics, and tracing via GCP Operations Suite.
-
Real-time dashboards and SLA-driven alerting.
-
PagerDuty / Slack integration for on-call notifications.
-
Security & Compliance
-
Strict IAM role policies with least-privilege access.
-
Enforced encryption in transit (TLS) and at rest.
-
Network segmentation and private service endpoints.
-
Vulnerability scanning integrated into CI/CD pipeline.
-
Backup & Disaster Recovery
-
Automated daily snapshots and database backups to GCS.
-
Point-in-time recovery procedures tested quarterly.
-
Documented failover drills for full business continuity.
-
Post-Migration Operations
-
Cost optimization with autoscaling and committed use discounts.
-
Continuous improvement driven by operational feedback.
-
Training sessions for internal IT and trading operations teams.
Results
-
100% availability during trading hours, even during updates.
-
Deployment cycle reduced from days to minutes with automated CI/CD.
-
30% lower infrastructure costs via autoscaling and optimized compute.
-
Successful regulatory audits with improved compliance and security posture.
-
Faster recovery with tested disaster recovery and backup processes.
Supporting Information
-
Key Technologies: GCP (GCE, GKE, VPC, Cloud Build, Artifact Registry, Operations Suite), Terraform, Ansible, PagerDuty, Slack.
-
Security & Compliance: TLS, IAM, GDPR, MiFID II, ISO 27001.
-
Team: DevOps engineers, cloud architects, security specialists.
Process
-
Discovery & Assessment – audit of trading system requirements and SLAs.
-
Design – cloud migration plan and DevOps pipeline architecture.
-
Implementation – IaC setup, CI/CD pipeline creation, and security baselines.
-
Migration – staged migration of workloads to GCP Private Cloud.
-
Validation – testing disaster recovery, zero-downtime deployments, and performance benchmarks.
-
Handover – training internal teams and setting up continuous improvement cycle.
Client Testimonial
“The migration to GCP Private Cloud transformed how we operate our trading systems. Deployments are now seamless, our compliance posture is stronger, and we can scale effortlessly during market peaks.”
— name withheld due to NDA