IT Observability Solutions Built for Operational Excellence
From hybrid infrastructure monitoring to AI-powered incident intelligence, our platform helps teams see everything, understand faster, and protect service quality across complex IT environments.
Unified Infrastructure Observability
Monitor everything from one operational view.
Gain complete visibility across physical, virtual, cloud, and containerized infrastructure. Track servers, databases, storage, virtualization platforms, and backup systems — all from a single control plane.
Key outcomes:
- Eliminate tool sprawl and disconnected monitoring silos.
- Maintain continuous visibility across geographically distributed environments.
- Correlate infrastructure events with service impact.
Network & Communication Channel Quality Control
Ensure network performance and channel reliability.
Monitor network device availability, L2/L3 VPN channels with load testing, traffic utilization, and communication quality. Detect bottlenecks and performance degradation before they impact service delivery.
Key outcomes:
- Proactive detection of network bottlenecks and overloads.
- VPN quality monitoring with synthetic load simulation.
- Clear visibility into leased line and communication channel performance.
Digital Service & Application Monitoring
Observe business-critical applications from infrastructure to user experience.
Monitor enterprise systems (ERP, CRM, 1C), web applications, portals, document management platforms, and video conferencing environments. Understand how technical issues affect service performance and user experience.
Key outcomes:
- Service-level visibility for business-critical applications.
- Synthetic transactions and availability checks.
- Dependency mapping between infrastructure and applications.
SLA-Driven Service Monitoring & Reporting
Protect service commitments with real-time SLA intelligence.
Track service availability, latency, channel quality, and performance indicators against defined SLA targets. Clarify responsibility boundaries between departments and generate automated reports for stakeholders, customers, and partners.
Key outcomes:
- Real-time SLA compliance tracking and breach forecasting.
- Transparent accountability across organizational units.
- Automated SLA reporting for internal and external audiences.
AIOps & Intelligent Event Correlation
Reduce alert noise and focus on what matters.
Use machine learning to correlate events, suppress redundant alerts, group related incidents, and highlight the operational problems that require immediate attention. Move from alert fatigue to intelligent prioritization.
Key outcomes:
- 60–80% reduction in alert volume through intelligent correlation.
- Dynamic severity scoring based on business impact.
- Continuous model learning from analyst feedback.
Accelerated Root Cause Analysis
Find the real cause faster, not just the symptoms.
Correlate monitoring events, infrastructure changes, anomalies, and service topology to identify likely root causes in minutes instead of hours. AI-assisted RCA provides evidence trails and confidence scoring.
Key outcomes:
- 50–75% faster incident investigation.
- Topology-aware root cause suggestions.
- Timeline views showing "what changed" before failure.
Proactive Service Assurance
Catch service risks before users notice.
Use ML-powered anomaly detection to identify degradation patterns, unusual behavior, and SLA risks early — before performance issues escalate into outages. Shift from reactive firefighting to proactive service control.
Key outcomes:
- Early detection of service degradation patterns.
- Predictive analytics for capacity and performance risks.
- Proactive incident prevention instead of reactive response.
Capacity Management
Plan growth, prevent bottlenecks, optimize costs.
Avoid service degradation and unexpected outages caused by resource exhaustion. Use historical trends, ML-powered forecasting, and SLA-aware thresholds to plan infrastructure growth, right-size environments, and align capacity investments with business demand.
Key outcomes:
- Earlier detection of resource bottlenecks and capacity risks.
- Lower infrastructure and cloud costs through intelligent forecasting.
- Stronger SLA protection by anticipating demand before performance impacts.
- Clearer alignment between capacity planning and business growth plans.
Write to us
Tell us about your monitoring challenges — we’ll show how Eclarix turns noise into clear, actionable signal for your team.
