Renu G

Observability-focused IT professional with 10+ years of experience delivering robust monitoring solutions using ITM, HP OBM, HP NNMi, Datadog, and Grafana. Expertise in modern observability practices including APM, Open Telemetry, distributed tracing, and real-time analytics. Passionate about improving system visibility, reducing alert fatigue, and enhancing reliability through intelligent monitoring and performance engineering.

Extensive experience with IBM Tivoli Monitoring (ITM) for agent-based infrastructure monitoring across distributed environments. Strong hands-on expertise in HP Operations Bridge Manager (OBM) for event correlation, topology-based event management (TBEM), and root cause analysis. Proficient in HP Network Node Manager i (NNMi) for network fault management, SNMP-based monitoring, and topology discovery.

Advanced implementation of Datadog for cloud-native monitoring, log analytics, and unified observability dashboards. Expertise in Grafana for visualization, dashboard design, and integration with multiple data sources (Prometheus, Elasticsearch, InfluxDB). Deep knowledge of Application Performance Monitoring (APM) including distributed tracing, service maps, and latency analysis.

Experience implementing Open Telemetry for vendor-neutral telemetry collection (metrics, logs, traces). Strong skills in Synthetic Monitoring for proactive availability checks and user journey simulation.

Real User

Monitoring (RUM) implementation to capture end-user experience and frontend performance metrics. Database monitoring across Oracle, SQL Server, MySQL with focus on query performance, locks, and resource utilization. Network monitoring expertise including SNMP traps, NetFlow/sFlow analysis, and bandwidth utilization tracking. Windows and Linux server monitoring including CPU, memory, disk I/O, process health, and kernel-level metrics.

Experience with log aggregation and analysis using centralized logging frameworks (ELK stack, Datadog logs). Strong understanding of SLA/SLO/SLI definitions and implementation using error budgets and performance indicators. Alerting and notification strategies using threshold-based, anomaly detection approaches.

Experience in event deduplication, suppression, and noise reduction techniques to improve signal-to-noise ratio. Screen/UI monitoring and dashboard optimization for NOC operations and executive visibility. Cloud monitoring experience across AWS/Azure including auto-scaling, container monitoring (Kubernetes), and serverless observability.

Integration of monitoring tools with ITSM platforms for incident, problem, and change management workflows. Strong expertise in observability pillars (metrics, logs, traces) and concepts like cardinality, tagging, telemetry pipelines, and correlation analysis.

Technical Specialist at HCL (2025-10 – Present)

Project#1 - Client: Volvo. Volvo Group is a global leader in transport and infrastructure solutions, specializing in trucks, construction equipment, and sustainable mobility across 180+ markets.

• Designed and developed Grafana dashboards integrating iObserve, ServiceNow CMDB/ITSM, Cisco Catalyst Center, Nexus Dashboard, and Bluecat.
• Built Asset & Inventory dashboards for LAN/WAN/WLAN/DC visibility including lifecycle, classification, and service mapping.
• Implemented Asset Health KPIs (CPU, memory, uptime) enabling proactive issue detection and reducing outages.
• Developed Lifecycle Management (HW/SW) dashboards to track EoL/EoS and OS compliance across network devices.
• Engineered RU Consumption & capacity dashboards to analyze utilization trends, saturation, and forecasting.
• Created Port Utilization & DHCP/IP pool dashboards to optimize resource allocation and prevent capacity issues.
• Delivered SLA & Performance dashboards tracking availability, MTTR, incident trends (P1–P4), and change success rates.
• Implemented Compliance & Security dashboards covering configuration compliance, CVEs, and LCM adherence.
• Built Real-time network health & subnet utilization dashboards (connectivity, reachability, IP usage).
• Automated data ingestion pipelines & reporting, improving efficiency (↓40% manual effort) and reducing incident resolution time (~30%).

Technical Specialist at HCL (2025-05 – 2025-09)

Project#2 - Client: Mattel. Mattel is an American multinational toy manufacturing and entertainment company headquartered in El Segundo, California. Mattel has a presence in 35 countries and territories; its products are sold in more than 150 countries.

• Implemented end-to-end monitoring and observability solutions using Grafana, enabling real-time visibility into application, infrastructure, and network performance.
• Deployed and configured Grafana dashboards by integrating multiple data sources such as Prometheus, InfluxDB, Elasticsearch, and SQL databases.
• Designed and optimized dashboard visualizations to monitor key metrics, user transactions, and system health for faster decision-making.
• Configured Grafana Alerting (Alert Rules, Contact Points, Notification Policies) to enable proactive incident detection and response.
• Established performance baselines and thresholds to identify anomalies and ensure system reliability.
• Implemented distributed monitoring strategies by integrating Grafana with tools like Prometheus and OpenTelemetry for microservices and API observability.
• Created custom dashboards and reports tailored for stakeholders, tracking SLAs, KPIs, and performance trends.
• Integrated ServiceNow with Grafana to visualize P1, P2 incidents and Emergency Changes on Geomap dashboards, enabling real-time geographic visibility of critical events.
• Designed dynamic Geomap panels to plot incident and change data based on location, improving incident tracking and impact analysis.
• Configured data pipelines (API/DB integrations) between ServiceNow and Grafana for near real-time data synchronization.
• Implemented alerting and filters to highlight high-priority incidents (P1/P2) and emergency changes for faster decision-making.
• Managed Grafana in cloud, hybrid, and on-prem environments, including containerized platforms (Kubernetes/Docker).
• Configured role-based access control (RBAC), user management, and security settings to ensure secure access to monitoring data.
• Performed troubleshooting and performance tuning of dashboards, queries, and data sources to improve efficiency and reduce latency.

Technical Specialist at HCL (2025-09 – 2025-12)

Project#3 - Client: Wolters Kluwer. Wolters Kluwer is a global information services and publishing company headquartered in Alphen aan den Rijn, Netherlands. It provides software solutions, data analytics, and expert insights to professionals in sectors such as healthcare, finance, legal, tax, and compliance. The company operates in over 40 countries and serves customers worldwide with digital solutions that support decision-making and regulatory compliance.

• Designed and implemented end-to-end Grafana monitoring solutions, integrating with Moogsoft for centralized observability.
• Configured data sources using Infinity Plugin & REST APIs, enabling seamless integration with external systems.
• Developed interactive dashboards for real-time monitoring of incidents, alerts, and system health.
• Built dashboards covering incident lifecycle (Open/In-Progress/Resolved) and priority-based tracking (P1, P2, P3).
• Integrated ServiceNow with Grafana, visualizing P1, P2 incidents and Emergency Changes using Geomap panels for location-based insights.
• Created dynamic variables and filters to enhance dashboard usability and enable multi-source data analysis.
• Applied Grafana transformations (Filter, Group By, Reduce, Sort) to improve data clarity and performance.
• Optimized dashboards by reducing redundant API calls, improving load time and efficiency.
• Implemented Grafana alerting and severity-based filtering to support proactive incident management.
• Managed Grafana administration including RBAC, user access, folder permissions, and governance.
• Coordinated with AD teams for secure access and user group management.
• Performed testing, validation, and production deployment, ensuring alignment with SLAs and monitoring standards.
• Collaborated with cross-functional teams to ensure reliable and accurate monitoring solutions.

Senior Software Engineer at HCL (2022-10 – 2023-11)

Project#4 - Client: Disney steady state. Disney is an American multinational mass media and entertainment conglomerate that is headquartered at the Walt Disney Studios complex in Burbank, California. Disney steady state IT infrastructure consists of around 2200 servers. Role involves monitoring of all the servers and applications using HP OML, HP SITESCOPE and Datadog.

• Provided 24×7 steady-state monitoring and operational support for Disney's IT infrastructure comprising approximately 2200 servers using HP OML, HP SiteScope, and Datadog.
• Implemented and managed end-to-end monitoring solutions