According to McKinsey report, 70% of digital banking transformations exceed budget and timelines largely due to one core problem: underestimating system complexity.
The current issue? Financial institutions are being blind —they’re unable to see how deeply intertwined their applications, services, and infrastructure really are.
A recent study shows 45% of financial institutions face at least one major IT breakdown every quarter. The average Mean Time to Resolve (MTTR) for critical incidents sits at 4.2 hours. Each downtime in banking systems would cost around $9,000 each minute.
Despite spending on observability tools many banks still operate reactively. They chase alerts. They drown in dashboards. They make guesses. And when systems go down, they scramble across siloed teams trying to trace the issue manually. The root of the problem? A basic lack of real-time contextual understanding across their tech stack.
A Fresh Approach through SDM
Service Dependency Mapping gives a real-time detailed view of how every service in digital system interconnects. It is not another dashboard, but it is the connective tissue of modern AIOps. It doesn’t just tell you something’s wrong, it tells you what else failure is affecting, who’s downstream, and how to isolate it before it cascades.
The Service Details Dashboard is a strategic lens into this map—surfacing real-time instance-level health, KPIs, and workload signals directly tied to the SDM layer including apps and microservices, connection points through APIs, the databases used, infrastructure components and network connections that tie them all together. But just having raw data isn’t the goal, the aim is to uncover hidden relationships/dependencies – those quiet but critical dependencies that often go unnoticed until something breaks.
For instance, when payment authentication failures, it might appear like a problem with the front-end glitch, but the real issue could be a delay in a shared database that also supports KYC module. Without SDM, figuring this out would take hours of guessing. Now, with SDM, the cause and effect are instantly traceable.
From Data Chaos to Operational Clarity
A service is a logical grouping of instances that perform a specific function or provide a specific capability. Every part of a digital service—be it a microservice authenticating users, a backend process crunching loan eligibility, or an API facilitating external account verification— node in a contextual web.
To truly operate SDM, we need the right inputs:
- Topology Map
- Applications and Microservice Data
- Network Flow and API Latency
- Database and Storage Systems
These inputs, when ingested and modeled correctly, reveal a 360-degree view of service behavior and relationship health. SDM starts to pull ahead—not just telling you what’s failing, but why it’s failing, who it’s affecting, and what else is at risk.
All the strategic potential of SDM—from predicting failure chains to reducing MTTR—needs a real-world interface to drive action. Our Service Dashboard offers exactly that. With real-time visibility into service health, granular performance KPIs, and live dependency insights, it translates the complex architecture of your digital ecosystem into an operator-friendly, decision-ready view. It’s where the unseen backbone of AIOps becomes operational intelligence at fingertips.
These aren’t just operational improvements — they’re strategic differentiators.
Diagnosing Faster, Fixing Smarter
One of the most transformative benefits of SDM is its impact on Root Cause Analysis (RCA). With SDM, RCA becomes real-time. Engineers can trace issues back to the precise origin, whether it’s a misconfigured load balancer, a database lock, or a failed update in a shared library. This surgical visibility minimizes the “mean time to innocence,” saving hours of cross-team finger-pointing and accelerating resolution.
In industries like banking, where every second of downtime translates into lost transactions and compliance risk, the ROI is undeniable:
- 50–70% drop in MTTR for high-priority incidents
- Quicker resolution of escalations through smart routing
- 30–40% boost in SLA compliance
SDM: The Key to AIOps
For AI-driven operations, it needs to understand not just the event, but the ecosystem the event lives in. SDM feeds AIOps the structured relationships it needs to:
- Perform causal inference
- Suppress alert noise
- Enable smart escalation
- Prevent incidents proactively
HEAL Software: Bringing SDM to Reality that provides the context that turns data into intelligence
HEAL Software exemplifies what SDM looks like in action. Our platform doesn’t just map dependencies—it integrates them into an intelligent operations loop. With AI and behavioral analytics, HEAL continuously learns from past incidents to improve future responses. Our platform supports hybrid stacks, correlates telemetry in real time, and updates the dependency graph. HEAL’s SDM capabilities aren’t just reactive—they’re preemptive.
Service Dependency Mapping isn’t just a technical upgrade, it’s a business imperative. For banks and financial institutions, SDM is the future-ready foundation of resilient, intelligent operations.
SDM transforms chaos to control, from reactive to predictive, and from firefighting to forecasting.
And in the evolving world of AIOps, that’s not just competitive advantage. It’s survival.
About HEAL Software
HEAL Software is a renowned provider of AIOps (Artificial Intelligence for IT Operations) solutions. HEAL Software’s unwavering dedication to leveraging AI and automation empowers IT teams to address IT challenges, enhance incident management, reduce downtime, and ensure seamless IT operations. Through the analysis of extensive data, our solutions provide real-time insights, predictive analytics, and automated remediation, thereby enabling proactive monitoring and solution recommendation. Other features include anomaly detection, capacity forecasting, root cause analysis, and event correlation. With the state-of-the-art AIOps solutions, HEAL Software consistently drives digital transformation and delivers significant value to businesses across diverse industries.