When seconds cost millions: the importance of observability in financial operations

In an ecosystem of instant payments and seamless digital journeys, the relationship between response time, customer experience and revenue generation has never been more evident. Unavailability is no longer seen just as a technical problem, but as a financial and strategic risk to the business.

Recent data from the Uptime Institute shows that more than half of relevant outages exceed US$ 100K in loss, while approximately 20% exceed US$ 1M per incident. And these numbers are not necessarily associated with complete outages of your applications and infrastructure.

The most frequent scenario is much quieter. Systems continue to operate, but with slowness, intermittency or partial degradation of services. The impact no longer appears as unavailability and begins to reflect in abandoned transactions, reduced conversion rates and direct loss of revenue. After all, faced with a slow machine, a PIX that takes time to confirm or an unstable checkout, how many consumers simply give up on their purchase or migrate to another payment method?

At the same time, user behavior has changed. The popularization of instant payments has redefined the concept of speed. Today, speed is no longer enough: the expectation is for immediacy. Delays of just a few seconds, often imperceptible from the perspective of the ecosystem between application and infrastructure, are enough to generate friction, compromise trust and interrupt the customer journey.

This mismatch between consumer expectations and technological complexity creates a structural challenge. A single transaction depends on dozens and, in some cases, hundreds of distributed components, including multicloud environments, microservices, APIs, payment gateways, anti-fraud platforms, databases, and integrations with external partners. This architecture increases scalability and accelerates innovation, but also exponentially increases the failure surface.

Recent reports point to a consistent growth in incidents related to networks, software and third-party providers, a direct reflection of this growing operational complexity. In this scenario, traditional monitoring approaches are no longer sufficient. Knowing that a server is active or that an application has high resource utilization no longer answers the main business question: Which service is being impacted, which customers are being affected and how much this degradation is costing

It is precisely in this context that observability assumes a strategic role. More than collecting metrics, it allows you to correlate logs, metrics, traces and events in real time to understand the complete behavior of applications.

Combined with open standards like OpenTelemetry, artificial intelligence and operational automation, observability transforms large volumes of telemetry into actionable insights, accelerating root cause identification and significantly reducing incident resolution time.

Most importantly, it connects technical indicators to business indicators. The discussion is no longer just about the availability of technology environments and starts to consider financial impact, customer experience, operational risk and revenue continuity.

This change also transforms the way organizations manage their environments. Lack of visibility can result in both wasted resources through oversized infrastructure and operational risks arising from insufficient capacity at critical moments. Observability allows you to find this balance, offering concrete information to optimize performance, resilience and costs simultaneously.

As digital maturity evolves, so does the number of organizations using observability to prioritize incidents based on financial impact, customer experience and service criticality, not just isolated operational metrics. According to Gartner, companies that adopt structured observability practices significantly reduce incident resolution time and increase operational resilience, especially in highly complex, distributed environments.

In practice, this represents a paradigm shift. Organizations move from acting reactively to operating predictively, identifying anomalous behaviors before they transform into unavailability perceived by customers. High demand events only make this scenario more evident: they do not create new problems, they only expose limitations that already existed. The difference is in the capacity for anticipation.

Companies that operate with low visibility tend to react under pressure, accumulating financial losses, brand erosion and loss of competitiveness. Those that invest in observability are able to transform complexity into operational intelligence, adjusting their environments in real time, protecting revenue and sustaining consistent digital experiences even under extreme conditions.

In a market where every second directly influences customer perception and financial results, keeping systems available is no longer enough. The true competitive advantage lies in deeply understanding the behavior of operations, anticipating risks and ensuring that every second of the digital journey generates value for the business. It is exactly at this point that observability stops being a technological tool and becomes a strategic asset for organizations.

^{(*) Alex Camargo is Head of Observability at Delphia, curation of digital journeys}