Cloud Modernization

A tier-one investment bank needed a production-grade cloud foundation that satisfied risk and regulator expectations while accelerating new product delivery. Their trading desks were eager to experiment, but every proof of concept hit the same wall: controls that broke under scrutiny and infrastructure teams drowning in manual work. cloudlogic.dev co-led the landing zone programme, shipping a governed Google Cloud Platform environment and the automation required to onboard the first trading workloads without disrupting the trading day. ...

cloudlogic.dev is a product and engineering consultancy built for modern finance. We partner with capital markets, payments, and fintech teams to modernise critical platforms, move faster in the cloud, and ship AI-enabled experiences that are safe, secure, and auditable. Our clients are engineering, product, and risk leaders at institutions that cannot afford downtime, regulatory failure, or security breaches. They choose us because we bring practitioner experience — our engineers have built and operated these systems at HSBC, Credit Suisse, Deutsche Bank, UBS, and NatWest Markets under real production pressure. ...

If you are a platform engineer at a bank, you already know that adopting Kubernetes in a regulated environment is a different problem from adopting it at a SaaS startup. The control-plane security, audit trail requirements, and operational governance that satisfy your risk committee are not the same ones that satisfy a DevOps team shipping a web application. We have deployed all three of the major enterprise Kubernetes platforms — Rancher, OpenShift, and VMware Tanzu — in production at tier-one banks and hedge funds. We have run the RFI process, built the landing zones, and operated the clusters through regulatory audits. This is what we learned. ...

The perimeter security model that banks have relied on for decades — firewall the data centre, trust everything inside — does not work in the cloud. When your trading systems run on GCP, your OMS in a Kubernetes pod needs to authenticate to a market data API without relying on a network boundary. We have implemented zero-trust networking on GCP for tier-one banks and fintechs. The principles are straightforward: no implicit trust based on network location, every access request authenticated and authorised, and least-privilege access enforced at every layer. ...

Infrastructure as Code (IaC) is a compliance accelerator in regulated environments. When every infrastructure change must be reviewed, approved, and auditable, manually provisioning resources through a web console is not just inefficient — it is non-compliant. IaC provides a code-based audit trail, version control, and automated validation that satisfies regulatory requirements. We have deployed Terraform, Pulumi, and Crossplane in production at banks and fintechs. Each has distinct trade-offs for regulated environments. The choice depends on your team’s programming expertise, compliance requirements, and existing infrastructure. ...

Migrating a banking database is one of the highest-risk operations in financial technology. A failed migration can lock customers out of their accounts, corrupt transaction data, or trigger regulatory violations. The database is the system of record — everything else is derived from it. We have migrated banking databases with over 100 million rows and 99.99% uptime requirements. The key is not the migration tool — it is the migration strategy. Every schema change must be backward-compatible, reversible, and testable in production without impacting customers. ...

The conventional wisdom in capital markets has been that trading systems stay on-premise. Low latency, deterministic performance, and regulatory comfort with physical infrastructure have kept trading floors running on bare metal for decades. That is changing. We have led cloud migration programmes for tier-one banks and hedge funds, moving trading workloads to Google Cloud in under six months and passing regulatory audits on first attempt. Here is how we did it. ...

FinTech and capital markets infrastructure scales differently from SaaS. One burst of compute for a regulatory simulation, a market data replay, or a VaR calculation can double your monthly cloud bill for a single day. The cost spikes are not from gradual usage growth — they come from unpredictable operational events. We have built and operated FinOps programmes at tier-one banks and hedge funds. Here is what works for financial services environments where cost governance must coexist with competitive speed. ...

Hiring more engineers does not make your platform faster. It makes it more complex. When every team provisions infrastructure differently, deploys services differently, and configures monitoring differently, you accumulate entropy faster than you add capacity. Platform engineering is the discipline of converting that entropy into reusable, self-service abstractions. For fintechs, platform engineering has an additional constraint: regulatory compliance. Every infrastructure decision — from network configuration to logging to access control — must satisfy audit requirements. An internal developer platform that makes engineers productive while maintaining compliance is the difference between scaling gracefully and drowning in operational overhead. ...

Service meshes solve the wrong problem if you adopt them for the wrong reasons. In financial services, the reason is not traffic management or observability — it is security and compliance. Every service-to-service communication must be encrypted, authenticated, and auditable. Manual certificate management and network policies do not scale when you have hundreds of microservices across multiple clusters. We have deployed both Istio and Linkerd in production at banks and fintechs. The choice depends on your security requirements, operational maturity, and team expertise — not which mesh has more GitHub stars. ...