Monitoring & Observability Projects
Building observability platforms with SNMP, APM, incident management, and custom KPI dashboards.
8 project case studies
Network Gear Monitoring via SNMP
N****X
Goals: Monitor network devices' health and performance in real-time to prevent downtime.
Challenges: Configuring SNMP on various network devices and visualizing metrics for easy analysis.
Solutions: Set up SNMP traps to capture real-time data from routers and switches, integrated Zabbix for monitoring, and visualized metrics in Grafana dashboards.
Outcome: Achieved proactive network monitoring with alerts for anomalies, reducing unplanned outages by 35%.
Application Performance Management for E-commerce
E****X
Goals: Monitor and improve application performance to enhance user experience and reduce downtime.
Challenges: Identifying performance bottlenecks in the application and maintaining optimal load times.
Solutions: Configured New Relic to monitor application metrics, such as response time and error rates, and set up Datadog for alerting and real-time monitoring.
Outcome: Reduced application response time by 25% and maintained 99.9% uptime, providing a stable experience for users.
Server Monitoring for Uptime and Health
F****X
Goals: Ensure high availability of servers by monitoring their health metrics, including CPU, memory, and disk usage.
Challenges: Configuring alerts for server resources without causing alert fatigue.
Solutions: Set up Zabbix for server monitoring with thresholds and Cacti for data visualization, focusing on trends for CPU, memory, and storage utilization.
Outcome: Enhanced server uptime by 15%, with early warnings for resource saturation to prevent crashes.
WAN Link Monitoring and Performance Optimization
C****XX
Goals: Monitor WAN links across multiple locations for latency and packet loss.
Challenges: Reducing downtime due to slow or failing links and providing centralized visibility.
Solutions: Configured SNMP-based monitoring with SolarWinds for detailed WAN analysis, including latency and packet loss, and created Grafana dashboards for visual insights.
Outcome: Reduced WAN downtime by 20% and optimized link usage, improving connectivity between locations.
Database Monitoring with Custom KPIs
S****XX
Goals: Track database health metrics, including query performance and connection counts, for key applications.
Challenges: Managing alerts and visualizing long-term performance trends for proactive maintenance.
Solutions: Defined KPIs for database performance in Zabbix and visualized them on Grafana dashboards, with alerts for high query latency and connection spikes.
Outcome: Improved database performance, reduced query latency by 15%, and enhanced incident response.
Incident Management with PagerDuty for VoIP Systems
Phone.com
Goals: Quickly resolve VoIP-related incidents and maintain service availability.
Challenges: Reducing response time for incidents in a VoIP network environment.
Solutions: Integrated Zabbix with PagerDuty for incident alerting, configured escalation policies, and used Grafana to monitor call metrics and server health.
Outcome: Reduced mean time to resolution (MTTR) by 40%, maintaining high uptime for VoIP services.
Network Health Monitoring for Call Center
Stanacard
Goals: Maintain optimal network performance to support high call volumes at call centers.
Challenges: Minimizing packet loss and jitter to ensure high call quality.
Solutions: Configured SNMP-based monitoring with Cacti, set up KPIs for network latency and jitter, and visualized performance with Grafana dashboards.
Outcome: Improved call quality by maintaining consistent network performance and reduced jitter.
Application and Database Monitoring
A****X
Goals: Ensure application availability and performance by monitoring real-time metrics.
Challenges: Balancing resource usage with real-time monitoring needs.
Solutions: Used New Relic for application insights, configured Datadog for detailed metrics, and set alerts for application downtime and database performance issues.
Outcome: Reduced downtime and improved application performance by identifying bottlenecks early.