Deliver uninterrupted network availability with the confidence of AI-backed monitoring and SLA governance — across thousands of endpoints, branches, and services.
Motadata ObserveOps brings deep, cross-layer visibility into network availability — enabling teams to measure, prove, and continuously improve uptime against every SLA.
Key Highlights
Every endpoint, branch, and service measured against the SLA that matters — continuously, intelligently, with full historical context.
Probe every endpoint from multiple vantage points, 24/7.
Probes from datacenter, branch, and cloud vantage points
HTTP, HTTPS, ICMP, DNS, TCP, UDP, SMTP, and custom protocols
Sub-second polling intervals for the most critical services
Geo-distributed agents for true global availability visibility
Get paged only when uptime is actually at risk.
Threshold-based and dynamic baseline alerting
SLA-aware escalation paths with deferred re-alerts
Maintenance windows and blackout-time suppression
Multi-channel delivery: email, SMS, Slack, MS Teams, webhook
AI clusters related incidents so on-call sees one signal, not fifty.
Topology-aware event correlation across devices and services
Automatic suppression of downstream symptoms
Reduces alert volume by 60–80% on average
Auto-generated proof for every customer, region, and service.
Customizable SLA targets per service, region, or customer
Auto-generated monthly, quarterly, and on-demand reports
Drill-down to every incident affecting a given SLA window
Catch regional outages before customers notice.
Concurrent probing from multiple geographic locations
Per-region SLA tracking and reporting
Detect ISP-level and BGP-level outages
Years of high-resolution uptime data, queryable instantly.
12+ months of raw, full-resolution data retention
Pre-aggregated rollups for fast trend analysis
Forensic playback for any past incident window
Intelligence
Transform availability signals into provable, accountable uptime.
Most monitoring tools tell you whether something is up — they rarely tell you whether you’re meeting the commitment you made to the business. ObserveOps closes that gap.
Every probe, alert, and maintenance window is recorded in Motastore and correlated against the SLA contracts you define. Availability becomes a measurable, defensible number, not an opinion.
With AI-backed root-cause grouping and historical context, your team focuses on the few signals that matter — and proves the outcome to every stakeholder.
How It Works
Discover every service,endpoint, and branch automatically.
Run continous synthetic + active checks from multiple vantage points
Stream results into Motastore’s unified availability data model.
Group related signals using topology and dependency awareness.
Page on-call only when an SLA breach is genuinely imminent.
Generate SLA-grade reports for every service, customer, and region.
This ensures availability isn’t just observed — it is measured, attributed, and continuously improved across your entire estate.
Role-Based Value
Defensible, board-ready availability numbers per service line.
Confidence that customer SLA commitments are being met — or proactively renegotiated.
Defensible, board-ready availability numbers per service line.
Confidence that customer SLA commitments are being met — or proactively renegotiated.
One uptime story across every team, region, and tool.
Eliminate finger-pointing with shared, correlated availability data.
One uptime story across every team, region, and tool.
Eliminate finger-pointing with shared, correlated availability data.
Far fewer pages, with far more context per page.
Topology-aware root-cause grouping cuts MTTR dramatically.
Far fewer pages, with far more context per page.
Topology-aware root-cause grouping cuts MTTR dramatically.
Service-level objectives wired directly into deploy and release gates.
Per-service SLO burn-down dashboards out of the box.
Service-level objectives wired directly into deploy and release gates.
Per-service SLO burn-down dashboards out of the box.
From Visibility to Control
Detect availability degradation seconds, not minutes, before customers do.
60–80% fewer alerts via topology-aware grouping and dynamic baselines.
Customer- and audit-grade SLA reports auto-generated on schedule.
Continuous evidence of availability obligations being met.
One uptime model across on-prem, cloud, branch, and SaaS workloads.
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