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I want to commission a full-featured network monitoring suite that runs seamlessly on both Linux and Windows environments. The application must display real-time utilisation across all routers, switches, servers and other multi-vendor devices, pulling system vitals via SSH while also speaking SNMP and, where required, Telnet. Auto-discovery is essential so that any neighbouring device—regardless of brand—is added to the inventory without manual input. Clear, drill-down dashboards should graph bandwidth, CPU, memory and interface statistics, while a report engine turns this data into exportable PDF or CSV summaries on demand or on a schedule. From trend analysis to threshold breaches, every event should be visualised in an intuitive graph. I would also like an AI-powered assistant built in; this agent should learn from historical metrics and proactively surface likely root causes or optimisation suggestions before issues escalate. Deliverables I expect: • Source code (or compiled binaries) ready for on-prem deployment • Installation and configuration guide for both Linux and Windows hosts • Documentation for integrating the AI recommendation module • A sample data set plus test report demonstrating auto-discovery, multi-protocol polling, graphing and report generation If you have questions about specific device models, preferred frameworks or data-storage back-ends, let’s clarify them early so the tool lands exactly where it needs to.
ID do Projeto: 40005889
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Ativo há 3 meses
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I can deliver a cross-platform network monitoring suite that runs reliably on both Linux and Windows, auto-discovers multi-vendor devices via SNMP/SSH/Telnet, and visualises real-time metrics with clear drill-down dashboards and scheduled PDF/CSV reporting. My plan is to implement a modular collector layer (Python agents + parallel SNMP/SSH pollers), a time-series store for efficient retention and querying, and a web UI that supports live graphs, threshold alerts, and on-demand report generation; everything will be packaged for on-prem deployment with native installers or containers for each OS. The auto-discovery engine will map neighbours and feed inventory to the dashboard, while the report engine will produce scheduled exports and one-click PDFs for auditors ◆ For the AI assistant, I’ll add a learning component that ingests historical metrics, detects patterns, and surfaces likely root causes and optimization suggestions while preserving explainability and audit logs. Deliverables include source code or compiled binaries, step-by-step installation guides for Linux/Windows, integration docs for the AI module, and a sample dataset plus test report that demonstrates discovery, multi-protocol polling, graphing and reporting ✦ Looking forward to building this with you — warm regards, Liliia ✧
₹10.000 INR em 1 dia
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2 freelancers estão ofertando em média ₹7.650 INR for esse trabalho

With 13 years of proven industry experience, I bring deep expertise in all required project skills. I have successfully delivered similar projects with high accuracy, efficiency, and a commitment to quality. My approach focuses on clear communication, timely delivery, and results that exceed expectations. I am confident I can provide reliable, scalable, and expert-level solutions for your needs. I look forward to contributing my experience to ensure your project’s success
₹5.300 INR em 7 dias
2,6
2,6

Bhubaneswar, India
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