
Overmonitor is a cloud-based infrastructure, website, and endpoint monitoring platform built for fast setup without enterprise complexity. Monitor websites, APIs, servers, processes, Windows services, event logs, performance counters, SNMP data, uptime, response time, DNS, SSL certificates, internal endpoints, and network health from one dashboard.
The lightweight 2.1 MB agent runs as an idle process, requires no inbound firewall exceptions or open ports, and sends a secure heartbeat every minute. Configure monitoring quickly through the web interface and target checks by city-level geography. Maintenance windows suppress expected noise, while configurable alerts, push notifications, and audible dashboards keep the right people informed.
Multi-location endpoint checks validate incidents, reduce false alarms, expose regional problems, and reveal how availability and responsiveness differ across target markets.
Distributed Monitors expand Overmonitor’s network by allowing eligible servers to opt in and check up to 10 external endpoints. Checks add negligible data to the existing heartbeat, require no extra configuration or firewall changes, execute no remote web scripts, and store no monitored data on the server. If a participating server or network becomes unavailable, its checks are automatically reassigned. Participation also earns prorated invoice credits.
Trend Analysis turns historical infrastructure metrics into proactive capacity planning. Choose from thousands of performance counters, including CPU utilization, available memory, and disk space, then assign minimum and maximum thresholds. Once enough data has been collected, Overmonitor applies linear regression to estimate when a metric may cross its limits. A configurable planning horizon controls when responsible team members are alerted, helping you rebalance workloads, tune resources, or scale capacity before performance becomes an outage or unbudgeted emergency. Trend Analysis is included with every server metric at no additional charge.
Overmonitor also includes process rollups, embeddable performance graphs, endpoint health visibility, flexible retention, multiple users with roles, and à la carte pricing so you pay only for the monitoring you need. Detect outages, correlate website symptoms with server health, analyze performance, track availability, and improve end-user experience before small issues become downtime.
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Smart, efficient, and anonymous People Counters & Analytics for the real world.
Our solution allows for simple deployment, capture, and analysis of the number of people that enter a physical location. Optionally we also capture and report occupancy in real-time.
We help Retailers, Libraries, Casinos, Universities, Places of worship, Office buildings, and other industries to analyze and take action on their people traffic trend.
For Retailers, we offer a specialized package to measure Performance on Traffic, including Conversion Rate and Service Levels. Combining POS data and staff data is easy with our direct integrations. Our Retail Equation simulator allows users to run simulations to plan sales improvement. It is also extremely beneficial as a learning tool to understand the relationship between traffic, staffing, conversion rate, and good quality service.
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Araya Visitor Analytics
Visitor analytics for the physical world. Gain Insights into the movement of people inside your physical spaces. Improve business efficiency by understanding your visitor behavior, optimize operations, reduce overhead costs and opportunity losses. For retailers, shopping malls and event companies. We Combine 3D Stereotype Vision + Wifi Analytics to provide industry leading 98% counting accuracy rate due to stereo vision technology and state of the art tracking algorithms. Ready to consume Data Analytics that are built by collecting data over several IOT devices. We have successfully helped 100’s of Retailers across Middle East and Dubai in adapting Footfall, People Counter and WiFi Enabled Solutions. Our People counting solution in Dubai comes with robust reporting analytics.
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