Cloud infrastructure audits for fintech
Your transaction volume grew. Did the infrastructure plan for it?
A payment processor scales past ten thousand daily transactions and nobody has re-checked the failover setup since launch day. That gap between growth and infrastructure review is exactly what this audit is built to surface.
Picture your cloud bill sitting next to last quarter's incident report
One document shows cost drift, the other shows a near-miss during a traffic spike, and most teams review them in separate meetings, if at all. This audit puts both under the same lens, alongside the configuration details that connect them.
Cost Efficiency Review
Idle compute, oversized instances, and storage tiers that quietly inflate monthly spend get flagged with plain-language notes on where the cost is actually going.
Redundancy Gap Mapping
Multi-region setups get checked for the failover paths that only reveal themselves during an actual outage, not during a scheduled demo.
Configuration Risk Scan
Access policies, network rules, and secrets handling are reviewed against patterns known to cause incidents in transaction-processing systems.
Transaction Load Patterns
Traffic spikes tied to settlement windows, month-end batches, or promotional periods get mapped against the autoscaling rules currently in place.
Compliance Alignment Check
Data residency and logging setups get reviewed against the regulatory footprint of the markets a platform actually serves.
Some findings take five minutes to explain. Others take a working session.
Each of these areas is scoped separately because they surface different kinds of problems, and each expands below with the detail an infrastructure lead would actually want to see.
Instance sizing, storage tiers, and data transfer costs are reviewed against actual transaction volume, not projected growth from a pitch deck. The output is a plain list of where spend is misaligned with real usage, ranked by how easy each item is to adjust.
Multi-region and multi-zone setups are traced end to end, including the parts that only activate during an outage. Backup databases, secondary payment rails, and failover triggers are checked for whether they would actually engage under load, not just on paper.
Access controls, network segmentation, and secrets management are reviewed against configuration patterns associated with incidents in transaction-processing environments. This includes checking for overly broad permissions and inconsistent settings between staging and production.
The route a transaction takes from request to settlement is mapped across services, queues, and databases. Bottlenecks and single points of failure along that path are documented, along with how the system tends to behave when volume spikes unexpectedly.
Where transaction data is stored, processed, and logged is reviewed against the regulatory expectations of the markets a platform operates in. This section notes mismatches between the current infrastructure setup and a platform's stated compliance posture.
Monitoring coverage, alert thresholds, and escalation paths are reviewed against what would likely happen during a payment processing incident outside business hours. Gaps between documented runbooks and observed system behavior are noted directly.
A CTO reaches out after a close call during a settlement window
There was no outage, but it was close enough to prompt questions nobody had good answers to. Within roughly a week, that uncertainty turns into a scoped plan instead of a guessing game.
Discovery Call
A conversation about current architecture, transaction volume patterns, and the specific concerns prompting the audit. No infrastructure access is needed for this step.
Infrastructure Mapping
Read access to relevant environments is arranged so the transaction path, redundancy setup, and cost drivers can be mapped in detail.
Working Sessions
Findings are reviewed live with the engineering team as they emerge, rather than held back for a single reveal at the end.
Report & Debrief
A written report ranks findings by risk and effort, followed by a debrief call to walk through what matters most first.
A wallet app and a trading platform fail in different ways
One processes thousands of micro-transactions per minute, the other clears orders in milliseconds, and a generic cloud review tends to miss the failure modes specific to each.
Payment Processing Platforms
Gateway routing, retry logic, and settlement batch handling reviewed against real traffic curves.
Trading & Brokerage Systems
Order matching paths and low-latency dependencies checked for redundancy under sustained load.
Digital Wallets & Remittance
High-frequency micro-transaction paths reviewed for cost drift and queue backlog risk.
Core Banking & Ledger Systems
Data consistency guarantees and backup ledger integrity reviewed against configuration drift.
A finance app team debates whether the cloud spend increase is normal growth or drift
Nobody can say for certain, because nobody has looked at usage and cost side by side since the last funding round. That kind of uncertainty is common across payment processors, digital wallets, trading platforms, remittance services, and neobanks.
Check Who This Is For
Ready to see what's underneath your cloud setup?
Start with a discovery call. There's no obligation attached to the conversation, and no infrastructure access is needed to begin it.