Sentinet³ Core · Platform

How it works

A flexible collection model, based on direct checks, standard protocols and extensible controls.

Data acquisition and check methods

Every technology queried in the most suitable way

Core runs periodic checks whose frequency and parameters are both configurable. An HTTP service can be queried directly with its native protocol, a Linux server via SSH, a device can expose metrics and states through SNMP, and a Windows system can be queried via WMI.

When local or specialised checks are needed, agents, scripts and plug-ins are used.

MethodOperational use
Direct checkVerification of the service through its own protocol, for example HTTP or SMTP.
SSHRemote execution of checks on systems reachable via Secure Shell.
SNMPReading metrics and states from devices, UPSs, sensors and compatible equipment.
WMICollection of information from Windows systems.
Agents and scriptsLocal checks and specialised verifications, with results returned to Core.
Plug-in / NRPEExtended execution of checks and integration of specialised verifications.
Architecture

The Sentinet³ subsystems

A subsystem-based architecture: data collection, in-memory processing, correlation and presentation are separate components working on the same state model.

Diagram of the Sentinet³ architecture: Visualization Subsystem; Event Correlator, Behavioral Learning Engine, Event Handler and Alerting subsystem; Time Machine; In Memory DB and Configuration DB; Agent Manager with agentless subsystem and Agent Subsystem
Sentinet³ architecture: from data collection, with or without agents, through to visualisation.

Visualization Subsystem

Presents states, maps, graphs and reports in the responsive web portal.

Correlation and learning

Event Correlator (event correlation and Root Cause Analysis), Behavioral Learning Engine, Event Handler for automatic actions and Alerting subsystem for notifications.

Time Machine

Keeps the history of states to take the infrastructure back to time X on day Y.

In Memory DB and Configuration DB

In-memory processing of states and a repository for the configuration of hosts, services and checks.

Agent Manager and agentless collection

Agentless subsystem with WMI, Oracle, Linux/Unix, SNMP, vSphere, JMX and OT Subsystem for industrial plants.

Agent Subsystem

Agents installed on systems for local and specialised checks.

Technology

  • Responsive portal
  • In-memory processing
  • Integrates with third-party systems
  • QR code integration
Patterns and templates

Fast configuration, without building every check from scratch

Patterns, or server recognition templates, associate a coordinated set of preconfigured checks with a host. The templates can include numerous parameters relating to the operating system, databases, applications and middleware.

Importing and exporting patterns makes it easy to reuse configurations across different installations.

  1. Choose the pattern suited to the technology or type of host.
  2. Select the checks you need from the preconfigured ones.
  3. Customise the parameters and activate the checks in the same operation.
  4. The pattern can be exported and reused in other installations.
Deployment and access

Physical or virtual appliances, web interface

The platform can be deployed on physical or virtual appliances. The interface is web-based and does not require a dedicated console to be installed on operators’ workstations.

Checks are organised by host and service and feed graphs, dashboards, maps, historical analyses and notifications: the same collected data serves both day-to-day operations and analysis.

Sentinet³ Core web interface: Enterprise Console with hosts and their checks
Web interface: checks organised by host and service in the Enterprise Console.

From check to views. Each check has its own execution frequency, parameters, thresholds, state and history. These elements populate the console and maps, Time Machine and the availability reports.

Hardware configurations and appliance sizes are described on the Appliances and deployment page.

Scenario

A new service to bring under control

Autodiscovery detects a host and its available ports. A pattern associated with the technology quickly configures the checks, the console includes the new operational states and the device is added to the monitoring maps and reports. The process reduces the manual work needed to extend the monitoring scope.

All scenarios

Related topics

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