SahamatiNet
  • Background
  • SahamatiNet POC
    • Introduction
    • Applications
    • Observability
    • Integration Steps
      • Sandbox Onboarding
      • IAM APIs
      • CR APIs
      • Integration with Router
        • Sample Code Snippets
          • Python
          • Java
          • JavaScript
          • GoLang
          • C#
        • Router APIs Specifications
          • FIU API Specification
          • AA API Specification
          • FIP API Specification
      • ReBIT Workflows using Router
        • Account Discovery & Linking
        • Consent Workflow
        • FI Request Workflow
    • Integration with Simulators
      • AA Simulator
      • FIP Simulator
      • FIU Simulator
    • Validation of Integration
  • Glossary
  • Guidelines
  • Frequently Asked Questions
  • How To Guides
    • How To Onboard to Sandbox ?
    • How To Decide on an Entity ID ?
    • How To Generate a Certificate ?
    • How To Generate Tokens ?
Powered by GitBook
LogoLogo

Copyright © 2025 - Sahamati Foundation

On this page

Was this helpful?

Export as PDF
  1. No Longer Relevent
  2. SahamatiNet
  3. Network Observability

Observability Services

Sahamati Network Observability provides the following services (not exhaustive) by consuming the telemetry data:

  1. Realtime Network Health & Performance

    • Sahamati continuously monitors network nodes, services, and traffic in real-time, providing insights into the health and performance of the network.

    • Alerts and notifications based on telemetry data enable proactive troubleshooting for members.

  2. Fraud Monitoring

    • Sahamati uses telemetry to analyze transaction data, user behavior, and access patterns to identify potential fraudulent activities.

    • Machine learning algorithms are applied to telemetry data to detect suspicious patterns and anomalies indicative of fraud or security breaches.

    • Real-time alerts can be generated for immediate intervention, while historical telemetry data aids in forensic analysis and fraud prevention strategies.

  3. Dispute resolution

    • Telemetry records and timestamps all network transactions and interactions, serving as a reliable source of evidence in dispute resolution scenarios.

    • Members can access telemetry data to reconstruct events, verify claims, and resolve discrepancies transparently.

    • Detailed telemetry logs and audit trails facilitate collaboration among stakeholders and expedite dispute resolution processes.

  4. Billing and reconciliation

    • Telemetry captures usage data and transaction details, which are essential for accurate billing and reconciliation processes.

    • Automated billing systems can leverage telemetry data to generate invoices based on actual usage, minimizing billing errors and disputes.

    • Telemetry insights enable members to reconcile accounts and verify charges, ensuring transparency and accountability in financial transactions.

  5. Network Usage

    • Sahamati provides granular visibility into network usage patterns, including application usage, user demographics, and geographic distribution.

    • Members can analyze telemetry data to understand resource consumption trends, optimize network capacity, and tailor services to user needs.

    • Usage analytics derived from telemetry data inform business decisions, marketing strategies, and service enhancements.

  6. Public Dashboards & Reports

    • Sahamati offers customizable dashboards and reporting tools for visualizing and sharing network performance metrics and insights.

    • Public dashboards provide stakeholders with real-time access to key telemetry data, fostering transparency and accountability.

    • Reports generated from telemetry data serve as documentation for compliance, audits, and performance evaluations.

  7. Open Datasets

    • Telemetry data can be anonymized and aggregated to create open datasets that facilitate research, analysis, and innovation.

    • Open datasets enable academic institutions, developers, and data scientists to conduct studies, develop applications, and contribute to the advancement of network technologies.

    • Sahamati may offer APIs or data sharing initiatives to make anonymized telemetry data accessible to the broader community.

  8. Data Exhaust

    • Telemetry generates vast amounts of data exhaust, including logs, metrics, and event streams generated by network devices and applications.

    • Data exhausts serve as a valuable resource for data mining, anomaly detection, and predictive analytics.

    • Advanced analytics techniques, such as machine learning and artificial intelligence, can leverage telemetry data exhausts to derive actionable insights and drive continuous improvement initiatives.

Was this helpful?