How to Build a Unified Monitoring and Alerting Platform with Ganglia and Centreon

Overview

Monitoring is the cornerstone of operations; a robust platform acts as the "third eye" to detect issues instantly and notify responsible personnel, preventing prolonged outages that affect customers.

Design Outline

Unified monitoring alarm platform design concept

Ganglia as data collection module

Centreon as monitoring alarm module

Seamless integration of Ganglia and Centreon

Monitoring system architecture diagram

Data flow diagram

1. Unified Monitoring Alarm Platform Design

The platform focuses on monitoring and fault handling, consolidating network, hardware, software, and database resources into a single system with unified management, standardized data handling, single sign‑on, and centralized permission control, achieving standardized, automated, and intelligent operations.

2. Ganglia as Data Collection Module

Ganglia is a scalable distributed monitoring system for HPC clusters. It gathers CPU, memory, disk, I/O, and network metrics via the gmond daemon on each node, aggregates them with gmetad, stores data in RRD files, and visualizes history through a web interface.

Flexible distributed hierarchical architecture supporting thousands of nodes and dynamic addition/removal without impact.

Accurate real‑time and historical data collection, enabling performance tuning and capacity planning.

Supports both multicast and unicast transmission, reducing load and adapting to network constraints.

Collects six core metrics (CPU, memory, disk, I/O, process, network) and allows custom plugins via C or Python interfaces.

3. Centreon as Monitoring Alarm Module

Centreon provides professional distributed monitoring and alerting, built on Nagios for core monitoring, ndoutil for database storage, and a web UI for configuration, multi‑channel notifications, and historical alarm records.

4. Seamless Integration of Ganglia and Centreon

Ganglia excels at data collection and trend analysis, while Centreon (via Nagios) specializes in alerting. Combining them leverages Ganglia’s scalable data gathering and Centreon’s robust alarm mechanisms, achieving comprehensive monitoring with visual reporting.

5. Monitoring System Architecture Diagram

Each data center runs a Gmond daemon on node servers, aggregates data to a Ganglia proxy (gmetad), and uses plugins for extended monitoring. A manager server collects data from all centers, integrates Ganglia and Nagios, and provides high‑availability via a standby node.

6. Data Flow Diagram

Key processes: Gmond collects local metrics and exchanges them via UDP (multicast or unicast); gmetad polls Gmond nodes, stores data in RRDs, and provides XML to Centreon/Nagios; Nagios monitors extracted data and triggers alerts; the web UI displays graphs and reports.

QA

What is the significance of gmond using UDP between clients? Answer: UDP offers lightweight transmission and multicast capability, reducing resource consumption and allowing multiple collection nodes for redundancy.

Will reading data from a database instead of TCP/IP reduce latency? Answer: Latency depends on the data‑collection script, not on Ganglia; any interface can be used.

How is data integrity ensured when using UDP under network jitter? Answer: Data is refreshed roughly every 10 seconds; gmetad consolidates it, focusing on timeliness rather than perfect integrity.