Statseeker vs. I&B monitoring

Statseeker stands out as a robust network performance monitoring solution, designed to be both rapid and scalable while also being budget-friendly. With the capability to set up on a single server or virtual machine in mere minutes, Statseeker can map out your entire network in less than an hour, all without significantly affecting your bandwidth availability. It supports monitoring for networks of various sizes, polling up to a million interfaces every minute and gathering an array of network data types, including SNMP, ping, NetFlow (along with sFlow and J-Flow), syslog, trap messages, SDN configurations, and health metrics. What sets Statseeker apart is its approach to performance data, which are never averaged or rolled up, thereby removing uncertainty in tasks such as root cause analysis, capacity planning, and identifying over- or under-utilized infrastructure. The solution's comprehensive data retention allows its built-in analytical engine to accurately recognize performance anomalies and predict network behaviors well in advance, empowering network administrators to engage in proactive maintenance rather than merely addressing issues as they arise. Furthermore, Statseeker provides intuitive dashboards and ready-to-use reports, enabling users to identify and resolve network issues before they impact end users, ensuring a smoother and more reliable network experience overall.

I&B monitoring is a Business & IT infrastructure monitoring platform, available in the cloud or deployed on-premise inside your own perimeter. It answers a question most monitoring tools leave open: when something breaks, what does it cost the business? Business performance, IT services and infrastructure sit in one observability model, so every role reads the same data. Data collection covers metrics, logs and traces from servers, databases, containers, virtual machines, network gear and applications. Prometheus-style exporters and templates handle common technologies out of the box: you decide what to monitor and which metrics matter. Rollout is automated: download the generated Ansible files and deploy monitoring across the whole estate with one command, instead of configuring exporters host by host. The model is hierarchical: business units and subunits, IT services, service layers, individual resources. Graph-based visualisation exposes the relationships between them, so teams can trace a degraded KPI to the service, layer and resource behind it, or see which business units a failing component affects right now. Dashboards match the role. Executives and business unit managers track KPIs and overall status; operations teams watch real-time service and resource health; DevOps and SRE engineers work with incident context and correlated metrics; security teams gain operational context around anomalies. Ready-made dashboards for business, service and layer monitoring remove the setup phase. Alerting is contextual rather than mechanical. Related threshold breaches are grouped into single actionable incidents, and the platform separates component faults, layer problems, outages and business-impacting events, keeping noise down. Jira, Zendesk, Zoho Desk and email integrations open enriched tickets automatically. Flexible XaaS licensing. Used in telecom, finance, healthcare and technology, with on-premise for regulated environments.