Case Study
AI Architecture & Systems Case Study
Performance Monitor Automation
Automated System Telemetry & Power BI Analytics Dashboard
Role & Architecture
Systems Architect
Release Timeline
March 2024
Core Stack
Python • Power BI
Verification
Production Tested
1 / 1
01Executive Overview
An automated infrastructure monitoring system that collects real-time system performance counters (CPU, RAM, Disk I/O, Network), stores metrics in MS SQL Server, and visualizes system health trends through interactive Power BI dashboards.
02The Engineering Challenge
Operational Problem & Constraints
Critical friction and failure modes observed in existing workflows
System administrators and DevOps engineers frequently lack lightweight, agent-less monitoring for on-premise Windows servers, resulting in unpredicted system bottlenecks, memory leaks, and disk space saturation.
03Architecture & Technical Solution
System Architecture & Algorithmic Design
Engineering methodology, model selection, and pipeline design
Built an automated Python daemon utilizing Windows Performance Counters (psutil and win32pdh) to sample host metrics at configurable intervals, batching records into MS SQL Server with optimized indexing, and creating automated Power BI refresh schedules.
04Quantified Impact & Benchmarks
Empirical Outcomes & Performance Metrics
Validated benchmarks, latency figures, and operational efficiency
Provided 24/7 observability across server clusters with sub-second telemetry sampling, reducing system incident diagnosis time by 65%.
05Core Capabilities & System Features
01
Real-time host telemetry capture (CPU, RAM, Disk IOPS, Network)
02
Batch ingestion pipeline into MS SQL Server with indexed time-series tables
03
Interactive Power BI dashboard with drill-downs and trend forecasting
04
Threshold-based anomaly alerting for CPU and memory saturation
05
Automated scheduled ETL jobs for historical log retention
06
Extensible architecture supporting multi-machine fleet monitoring
06Data Specifications & Telemetry
Monitored Metrics
CPU Usage
Memory Utilization
Disk I/O
Network Traffic
Process Information
07Technologies & Frameworks
Production libraries, architectural components, and runtimes used in this system:
Python
Power BI
MS SQL Server
SSMS
Windows Performance Counters
psutil
SQLAlchemy
08Artifacts & Verifiable Deliverables
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