Complexity is inevitable in Openlink Findur. Confusion is optional. For every verbose error log, there is a way to reduce the noise, ensuring your BAU support team spend less time on detective work. Increasing observability in Openlink is how you get there.
The Big Sleep Mode
Every organisation using Openlink Findur experiences similar frustrations. A trade vanishes midway through a workflow, a scheduled task fails overnight, or a report completes successfully but produces the wrong or missing results. The information needed to explain these events exists, yet it is buried in vast, unstructured logs that capture activity without context.
Observability changes that dynamic. It is the discipline of designing systems that explain themselves. The goal is to give clarity around what went wrong, where it happened, and why. The challenge of maintaining observability in Openlink lies not in the lack of data, but in the absence of a proper structure for that information. In this white paper, we aim to draw back that opacity and present users with practical options.
The High Window
In the context of Openlink, observability means the ability to understand what the system is doing, across its technical and business layers. It allows users to diagnose behaviour without accessing the code. Lucido approaches observability across three levels:
- System-level visibility, which captures the health of scheduled tasks, TPM workflows, and interfaces.
- Application-level visibility, which records what each plugin or script is doing and how long it takes.
- Business-level visibility, which explains how trades, exposures, and cash flows move through the organisation.
Playback
System-level observability in Openlink provides the operational pulse of the platform. TPM and Services Manager workflows already record duration, status, and exceptions; Lucido extends that discipline across other Findur components to ensure consistency. Dashboards and reports can then display which processes are running, which are waiting, and which have failed.
Lucido treats this as operational telemetry. The purpose is not to monitor every transaction, but to confirm that the system’s rhythm is steady. Observability enables calm, predictable operations where issues are visible and explainable rather than surprising.
The Long Log Goodbye
At the application level, observability means that every piece of custom logic should be able to explain itself. Findur’s default logging is often verbose yet uninformative, recording technical steps without operational context. The system’s reputation for noisy logs is well earned. For example, curve coverage date messages often flood output without adding real value. Fixing underlying index definitions can remove those lines entirely, replacing confusion with meaningful content.
Lucido applies consistent logging patterns that bring structure and predictability to Findur’s output. Each plugin follows the same conventions, ensuring related messages appear in a clear sequence and redundant noise is minimised by design. The outcome is a coherent story instead of a torrent of technical artefacts. Observability, implemented at this level, transforms logging from into a readable narrative that exposes both intent and consequence.
The Data in the Lake
True observability extends beyond technology. Business-level visibility ensures that operational and risk teams can trace how activity moves through Findur in real time. TPM workflows should have clear lines and notes annotating them. Dashboards should be configured to show delayed trades, bottlenecks in workflows, or breaches of exposure limits.
Automated checks can de designed to reconcile trades between the Front, Middle, and Back Office. Alerts can draw attention to deviations before they cause disruption. Items such as Operation Services, Accounting Rules, Report Builder Definitions, Tasks, and more should all have high level descriptions captured in the system itself. This is the practical application of governance. Ownership only matters when the owner can see what they are responsible for.
Trouble is My Business
Observability reduces noise, but its greater purpose is to reduce stress. Systems that explain themselves allow their operators to work calmly. Support teams no longer need to reconstruct events after failures; they can see them as they happen. Developers gain feedback from performance metrics rather than complaints. Business owners can trust the results because the process behind them is transparent.
When observability in Openlink is designed with clarity in mind, teams stop firefighting and start improving. To assist with this, some organisations use log aggregation and analysis platforms such as Splunk to visualise system health. When Findur’s logs are structured consistently, these tools become exceptionally powerful, revealing patterns and bottlenecks that would be invisible within the application itself.
Farewell, My Lovely Errors
Lucido helps organisations make Findur transparent from the inside out. We design logging, metrics, and alerting patterns that turn complexity into clarity and noise into insight. Our approach to observability removes the need to become a detective, searching for clues and applying guesswork.
Complexity will always exist within Findur, but confusion need not be the result. When Findur explains itself, issues surface early, fixes are faster, and operations run calmly. Lucido can help you get there. Reach out if you would like to bring structure and clarity to your Findur environment.