Freelancers using Grafana in DhakaFreelancers using Grafana in Dhaka
DevOps & Cloud Infrastructure Engineer | Proxmox Expert
DevOps & Cloud Infrastructure Engineer | Proxmox Expert
Cover image for Automated OpenNebula Monitoring and Alerting
Automated OpenNebula Monitoring and Alerting Architecture Designed an automated monitoring and observability architecture for a multi-region OpenNebula private cloud environment. The solution automatically discovers newly created virtual machines through the OpenNebula API and registers them in Zabbix without requiring manual monitoring configuration. Once a VM is detected, it is assigned to the appropriate host group based on its region, environment, operating system, or customer. Monitoring templates are then applied automatically for Linux, Windows, hypervisor, network, and storage systems. This ensures that every newly provisioned VM receives consistent monitoring, trigger thresholds, availability checks, and alerting policies from the moment it becomes active. The architecture includes regional Zabbix proxies that collect monitoring data from each OpenNebula region and securely forward it to a centralized Zabbix Server. This reduces cross-region monitoring traffic and allows monitoring to continue locally during temporary network interruptions. The platform monitors: CPU and memory utilization Disk capacity and performance Network traffic and packet loss Operating system availability Services and running processes VM uptime and availability Hypervisor health Storage availability and performance Network devices using SNMP Web services and APIs using HTTP checks When a problem is detected, Zabbix evaluates the configured trigger and escalation policy. Notifications are then automatically routed to Telegram, Microsoft Teams, and email based on severity, environment, and operational responsibility. Grafana is integrated with Zabbix as a centralized visualization platform. It provides real-time dashboards for infrastructure health, regional availability, VM performance, uptime, service-level objectives, resource capacity, and active alerts. The monitoring environment is isolated from tenant and production networks using a dedicated monitoring network. Only controlled monitoring, API, and notification traffic is permitted between the cloud regions and the monitoring platform. Key outcomes of the solution include: Automatic VM discovery and monitoring enrollment Consistent monitoring across all OpenNebula regions Automated template and policy assignment Centralized alerting and escalation Telegram, Microsoft Teams, and email notifications Real-time Grafana dashboards Reduced manual administration Faster incident detection and response Scalable monitoring for future cloud expansion This project demonstrates my ability to integrate OpenNebula, Zabbix, Grafana, API-driven automation, multi-region monitoring, centralized alerting, and secure network segmentation into a complete private cloud observability platform.
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Cover image for Designed a complete multi-region private
Designed a complete multi-region private cloud architecture using OpenNebula across three geographically separated regions with a total of 20 physical servers. The solution provides centralized cloud management, regional workload isolation, secure inter-region connectivity, shared cloud services, disaster recovery, backup replication, and dedicated monitoring for the complete infrastructure. The environment was structured as follows: Primary Region: 8 servers Secondary Region: 8 servers Disaster Recovery and Expansion Region: 4 servers Centralized OpenNebula management and scheduling KVM-based virtualization across all compute nodes Regional firewalls, routers, load balancers, and gateway services Separate compute, storage, management, tenant, replication, and monitoring networks Shared storage and Ceph-based storage architecture Cross-region backup replication and workload failover Centralized image, template, user, network, and lifecycle management Secure administrator and tenant access through SSO and role-based access control A dedicated monitoring and observability environment was also designed separately from the production cloud network. The monitoring stack included Prometheus or Zabbix for metrics collection, Grafana for dashboards, Alertmanager for notifications, and Loki or the ELK Stack for centralized log management. Regional monitoring proxies and agents collect host, VM, storage, application, and network metrics from each region while keeping the monitoring infrastructure isolated from tenant and production traffic. The architecture was designed to provide: High availability across multiple regions Centralized private cloud management Secure workload and tenant isolation Disaster recovery and regional failover Scalable compute and storage capacity Centralized monitoring, logging, and alerting Infrastructure automation through APIs, Terraform, Ansible, and CI/CD pipelines This project demonstrates my ability to design secure, scalable, highly available private cloud platforms using OpenNebula, KVM, software-defined networking, distributed storage, infrastructure automation, and enterprise monitoring technologies.
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