Reduce operational risk and ensure the continuity of your financial services

Transform technological complexity into complete visibility. With Datadope, anticipate failures in critical operations and reduce resolution times by up to 80% through autonomous agents and AI

IOMETRICS^® Observability: the modern observability approach for the financial sector Datadope provides comprehensive visibility across the entire technology ecosystem to enable proactive operations. Our platform unifies logs, metrics and traces. It instantly detects anomalies and their relationships through topology mapping and AI. Resolve incidents in record time with real-time observability and automated workflows.

What will you achieve with Datadope?

Reduce operating
costs by up to 25%

Improve website availability by up to 80%

Reduce event correlation noise
by 30%

Scale infrastructure while managing more than 2 million metrics

Success stories

From 400,000 to 1 million metrics: how to break the scaling barrier and reduce operating costs.

A multinational retailer transformed its observability architecture by migrating from a monolithic model to a distributed solution (Prometheus + Thanos). It tripled capacity without compromising stability. This evolution eliminated single points of failure and improved search performance by 15%. It freed 10 Kubernetes nodes and reduced annual SaaS licensing costs by 30%.

From uncertainty to complete control: how to discover up to 98% of network assets.

Following rapid growth through acquisitions, a major telecommunications operator faced the challenge of managing multiple disconnected infrastructures. Thanks to the unattended Discovery solution from IOMETRICS^® Discovery, they were able to automatically identify and centralise 98% of their technology assets, eliminating security blind spots and ensuring the stability of critical services from day one.

Sanitas ensures excellence in its digital experience and maximises the availability of 'Mi Sanitas' through advanced synthetic monitoring.

Sanitas transformed its digital monitoring strategy by integrating the IOMETRICS^® Synthetix synthetic probe solution, which simulates real user behaviour. This technology continuously verifies critical processes such as login, appointment booking and access to medical information. It ensures proactive incident detection while providing a smooth and uninterrupted experience for patients.

Datadope is at the forefront of the market. Datadope’s approach is based on the premise of extracting value from infrastructure, application and business data. Customers are beginning to view these products less as monitoring solutions and more as data lakes for operational telemetry and other data, upon which advanced analytics and AI are applied to generate insights.

Datadope strengthens its leadership:
Recognised by IDC in 8 Observability and AIOps categories

IOMETRICS^® use cases

Break down silos between Development and Operations: accelerate delivery and reduce costs with a unified view.

Integrate Development and Operations into a single observability platform that shares metrics and logs in real time. By eliminating silos and automating processes, it dramatically reduces resolution times (MTTR) and accelerates the delivery of more reliable and efficient software.

Uninterrupted performance: detect, analyse and resolve incidents before they impact your users.

With APM, monitor every application transaction in real time to identify bottlenecks and errors instantly. By providing complete visibility from code to user experience, it optimises resources, accelerates problem resolution and ensures maximum availability of critical services.

From complex data to clear decisions: visualise business impact in real time

Visualise your metrics through intuitive executive dashboards. Instantly access revenue trends, critical KPIs and SLAs, ensuring immediate insight into the health of your organisation to support strategic, data-driven decisions without relying on complex technical reports.

Fast and accurate incident resolution: uncover the root cause

Reduce mean time to resolution (MTTR) by up to 80% by automatically identifying the exact source of issues.

Through topology analysis and machine learning, we correlate interdependent events to eliminate false positives and prevent recurring failures, optimising service stability and reducing operating costs.