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resource-usage

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Raymond Ops
Raymond Ops
Apr 13, 2025 · Operations

Master Linux Resource Monitoring: How to Use /usr/bin/time Effectively

This guide explains how to use the Linux /usr/bin/time utility to measure program resource usage—including user and kernel CPU time, memory consumption, and I/O statistics—covers its syntax, common options, custom format strings, and the distinction between the external command and the shell built‑in.

Shelllinuxperformance monitoring
0 likes · 9 min read
Master Linux Resource Monitoring: How to Use /usr/bin/time Effectively
Test Development Learning Exchange
Test Development Learning Exchange
Mar 30, 2024 · Operations

Monitoring macOS and Windows System Resources with Python

This guide explains why and how to monitor CPU, memory, and disk I/O on macOS or Windows using Python's psutil, matplotlib, and numpy libraries, covering performance analysis, troubleshooting, capacity planning, automated alerts, and includes a complete example script that visualizes resource usage over time.

automationperformance analysispsutil
0 likes · 6 min read
Monitoring macOS and Windows System Resources with Python
Aikesheng Open Source Community
Aikesheng Open Source Community
Jul 6, 2022 · Operations

Process‑Level Resource Monitoring and Reporting System Using Python RPC

This article describes a complete solution for per‑process monitoring of CPU, memory, disk I/O and network usage on Linux servers, covering the shortcomings of existing tools, data collection methods, aggregation logic, storage in MySQL, visualization with Grafana, deployment steps, and operational best practices.

GrafanaMySQLProcess Monitoring
0 likes · 28 min read
Process‑Level Resource Monitoring and Reporting System Using Python RPC
Architecture Digest
Architecture Digest
Aug 5, 2020 · Backend Development

Monolith vs Microservices: A Comparative Study of Performance, Complexity, Reliability, and Scalability

This article compares monolithic applications and microservice architectures across dimensions such as network latency, development and operational complexity, reliability, resource consumption, scaling precision, throughput, deployment speed, and team communication, highlighting where each approach wins and offering guidance on when to adopt microservices.

ArchitectureReliabilitylatency
0 likes · 12 min read
Monolith vs Microservices: A Comparative Study of Performance, Complexity, Reliability, and Scalability