An observability solution for banking and securities: end-to-end tracing to reconstruct transaction flows, reconciliation and root-cause isolation, and audit trails for regulatory compliance, with a rollout path and metrics.
The cost of failure in financial systems isn't "user complaints" — it's capital risk plus regulatory accountability. A single transaction passes through gateway, risk control, accounting, and clearing, and a hiccup in any one of them can break reconciliation. Traditional operations teams correlate each system's own logs and hand-align timestamps, so tracing one anomalous transaction can take half a day — and during that time the discrepancy sits unresolved, which is exactly when regulators start asking questions. On top of that, finance has hard requirements on log retention: who viewed what data, when, and what operations were performed must all be traceable. Generic monitoring tools rarely satisfy both deep troubleshooting and compliance auditing at once; they're usually good at one or the other. Jujing OBSERVE's finance solution is built around these two threads.
The core of the solution is assigning every transaction a globally unique businessId that is propagated across systems, while OpenTelemetry collects trace data to link businessId → call chain → logs → metrics into one thread. The propagation matters more than the tracing itself: businessId must be passed through HTTP headers or message fields at every hop, because that's what lets you join a transaction's spans across systems that use different tracing backends — or none at all. For reconciliation, look up the transaction by businessId in tracing to see every node it passed through and the latency of each, then compare against the ledger's transaction records — divergent nodes stand out immediately. Example: a direct-debit times out. Traditionally you'd dig through each system's logs one by one. After onboarding, entering the transaction ID shows it spent 3.2s at the risk-control node and retried twice at the accounting node, immediately pointing to a slow query in the accounting database — cutting time-to-locate from hours to minutes. Reconciliation-break alerts can be configured as rules that aggregate by businessId and pin the associated traces and logs to the on-call engineer, so the alert arrives with the evidence attached rather than a bare "something's wrong."
Compliance looks at two things: operational trails and data-access trails. Jujing provides a complete audit log that records every operation — login, query, config change, alert handling — with the operator, timestamp, source IP, target object, and before/after values. Audit logs are append-only and can be retained per regulatory requirements (e.g. 180+ days), and exported in a format auditors can ingest. On data access, field-level masking is enforced by role: when a teller views logs, card numbers and ID numbers are automatically masked, and only authorized roles see plaintext — with every plaintext view leaving an audit record. That dual mechanism (mask by default, log the unmask) is what actually satisfies the financial data security classification guidelines, because it proves both that data is protected and that any exposure was authorized and recorded. Encryption at rest and in transit rounds out the posture for Multi-Level Protection Scheme 2.0 reviews.
Take three steps rather than onboarding everything at once. Step one: pilot a single core transaction flow (e.g. direct-debit or transfer), onboard tracing and logs, and prove out the businessId correlation and reconciliation-alert scenarios. Step two: extend to all core systems and fill in audit trails and field masking. Step three: add metrics monitoring and alerting to close the loop of "metrics flag the anomaly → tracing localizes it → logs provide evidence." Keep the pilot small and measurable; a single flow with clear before/after numbers is far more persuasive to stakeholders than a broad, half-finished rollout. Across deployed customers, mean time to detect (MTTD) drops by over 60%, reconciliation-discrepancy triage shrinks from hours to minutes, and compliance items go from manual assembly to one-click export — with meaningful savings in annual compliance labor.
One operational detail worth planning early: retention tiers. Not all financial logs deserve the same shelf life. Keep high-value data — transaction traces and audit records — on fast storage for the full regulatory window, but route verbose debug logs to cheaper cold storage after a few days. This keeps query performance and storage cost sane as volume grows, and it is far easier to design in from the start than to retrofit.