Use Case

Detecting Long-Term Performance Degradation

A financial services provider saw a month-long increase in transfer times that early tools missed.

Problem

The customer, a financial services provider, relies on a cloud-based MFT system to process critical transactions. Over one month, the system started suffering a gradual performance decline, resulting in a 10% increase in transfer times. Internal monitoring tools didn’t detect any anomalies, leaving the customer unable to intervene early.

Solution

Threpoly’s advanced monitoring and analytics capabilities detected both long-term degradation and short-term spikes that indicated initial server difficulty. Real-time and historical insights enabled informed decisions to address the underlying issues early, allowing the customer to avoid a major outage and ensuring uninterrupted operations.

Key product capabilities

  • Macro-Level Historical Monitoring

    Reveals gradual, steady increase in latency over time.

  • Micro-Level Real-Time Alerting

    Detects sudden performance spikes.

Business benefits

  • Avoided Downtime

    Early detection prevented outages that could have cost millions.

  • Protected Client Trust

    Ensured business continuity and maintained client trust.

Security & performance FAQ

How Threpoly behaves in complex, regulated environments.

Deeper answers for teams evaluating Threpoly for high-volume, security-sensitive data exchange use cases.