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MonitoringDemonstration Case Study Placeholder

Infrastructure Monitoring & Observability Stack

An end-to-end telemetry and observability platform designed to monitor heterogeneous infrastructure including Linux servers, virtual machines, network routers, and storage arrays.

Overview

Centralized observability is crucial for proactive infrastructure management. This project unified disparate SNMP monitors, log files, and system metrics into single-pane-of-glass Grafana dashboards with automated Telegram and email notifications.

Problem Context

The Challenge

System admins previously relied on reactive ping checks and manual log inspection across individual servers, leading to delayed incident resolution and undetected disk space exhaustion outages.

Engineering Strategy

The Solution

Engineered a containerized monitoring stack leveraging Prometheus for time-series metrics, SNMP Exporter and LibreNMS for network equipment polling, Graylog for centralized syslog aggregation, and Grafana for visualization.

Architecture & System Design

Data collectors poll SNMP devices and scrape Prometheus Node Exporters. Aggregated data is indexed and routed to Alertmanager and Grafana dashboards.

Observability Architecture Pipeline Diagram
Diagram: Metrics & Syslog Collection Pipeline to Visualization
Layer 01Collection Tier

SNMP v3 polling for switch/router interfaces and Node Exporter / cAdvisor agents for host/container metrics.

Layer 02Storage Tier

Time-series database (Prometheus TSDB) and OpenSearch indexers for structured syslog events.

Layer 03Visualization

Custom Grafana dashboards grouped by service tier (Core Routers, VM Hosts, Storage Pools).

Layer 04Alerting Pipeline

Prometheus Alertmanager rules with threshold triggers alerting on-call staff via webhook integration.

Implementation Steps

  1. 01

    Deployed Docker Compose stack containing Prometheus, Grafana, Alertmanager, and Node Exporter.

  2. 02

    Configured SNMP v3 credentials on core routers and switches for secure metric polling.

  3. 03

    Authored custom Grafana dashboards for bandwidth utilization, CPU/RAM thresholds, and ping response latency.

  4. 04

    Created alert rules for link downtime, packet loss spikes (>2%), CPU usage (>85% for 5 mins), and disk space capacity (<10%).

  5. 05

    Integrated centralized rsyslog forwarding from Linux hosts to Graylog for log search and security auditing.

Key Responsibilities

  • Designing telemetry metrics schema and retention storage requirements.
  • Building and hardening monitoring server instances.
  • Writing Grafana dashboard JSON models and custom PromQL queries.
  • Tuning alert thresholds to eliminate alert fatigue.

Challenges & Technical Solutions

Challenge

High SNMP polling frequency causing CPU load spikes on low-resource switches.

Solution

Adjusted polling intervals for non-critical SNMP OIDs from 15s to 60s while keeping interface bandwidth counters at 30s.

Challenge

Excessive noisy alerts during scheduled backup windows.

Solution

Configured blackout maintenance silences in Alertmanager during automated backup cron schedules.

Results & Impact

  • Reduced Mean Time To Detect (MTTD) infrastructure issues from hours to under 60 seconds.
  • Eliminated unplanned disk space outages by introducing automated 80% capacity warning alerts.
  • Provided leadership with clear bandwidth utilization graphs for data-driven ISP link upgrades.

Lessons Learned

  • 01Alert threshold tuning is an iterative process; false alarms degrade incident response speed.
  • 02SNMP v3 encryption should always be preferred over unencrypted v1/v2c community strings.
Explore More
Campus Network Infrastructure
NetworkingPlaceholder Case Study
2024 — Present[Organization Name]

Campus Network Infrastructure

Designing and managing a scalable multi-site campus network infrastructure with VLAN segmentation, routing, and high availability.

  • MikroTik
  • Cisco
  • VLAN
  • OSPF
  • BGP
  • +2

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