The article reviews three open‑source solutions—OpenSRE for AI‑assisted incident investigation, CloakBrowser that patches Chromium to evade fingerprinting, and Radar, a lightweight Kubernetes dashboard that runs without cluster installation—detailing their problems, workflows, commands, and key features.
This article outlines the essential principles for building a high‑availability system, covering cluster and distributed designs, fault‑tolerance, reliable hardware, disaster recovery, monitoring, security, capacity planning, and automated scaling to achieve optimal performance and resilience.
Tart is an open‑source Apple Silicon virtualization toolkit that uses the native Virtualization.Framework to run Docker‑style macOS and Linux VMs with OCI‑compatible images, seamless CI/CD integration, and adoption by companies like Atlassian and Figma, offering near‑native performance and easy automation.
The article explains why the Linux scheduler’s thread migration hurts deterministic low‑latency trading, outlines three reasons to bind threads to specific cores, demonstrates how to use taskset and Rust’s core_affinity crate for binding, and shows how to verify the binding with htop and command‑line tools.
When a Linux server’s CPU spikes to 100 %, this article walks through a systematic investigation—from defining what “CPU 100 %” really means, gathering timestamps and metrics, using tools like top, mpstat, vmstat, pidstat, sar, perf, and strace, to tracing processes, threads, containers, and Kubernetes, building an evidence chain, applying low‑risk fixes, and verifying the resolution.
This article breaks down the TCP three‑way handshake and four‑way close, explains what each state means, and provides a step‑by‑step troubleshooting guide with concrete Linux commands, packet captures, and practical tips for diagnosing timeouts, refusals, retransmissions, and other common connection problems.
This article explains why LLM agents need a dedicated observability platform, introduces OpenTelemetry’s core concepts and architecture, shows how to manually instrument Python code, enable automatic instrumentation, configure the Collector, handle common distributed‑system pitfalls, and extend OTel with agent‑specific semantics and evaluation loops.
The article presents a reproducible Nginx performance‑tuning workflow that starts with defining a baseline and acceptance criteria, measures CPU, file‑descriptor, upstream and disk limits, then incrementally adjusts worker settings, systemd limits, keepalive, buffering and compression, while using gray‑scale deployment and safe rollback.
The article explains why synchronizing a 10 GB file across a slow link seems impossible, describes the classic deadlock of needing the difference without sending the whole file, and shows how rsync’s rolling checksum, weak/strong fingerprinting, and sliding‑window design break that deadlock efficiently.
This guide walks through the fundamentals of rsync incremental backups, explaining the delta algorithm, file comparison rules, optimal parameter choices, real‑world performance comparisons, and step‑by‑step scripts for installation, daily cron jobs, link‑dest rotation, real‑time syncing with inotify, and robust monitoring and error handling.
The article explains that frequent Docker container restarts are driven by the restart policy, not the underlying issue, and provides a systematic method—collecting container state, logs, events, exit codes, OOM flags, health‑check results, and restart policy details—to pinpoint the true cause before applying targeted fixes.
This guide explains how to systematically investigate network packet loss on Linux by collecting timestamps, routing, interface and kernel statistics, using ping, tracepath, curl, netstat, ss, nstat, ip, ethtool, nftables/iptables, and tcpdump on both ends, then narrowing the failure scope, fixing MTU, conntrack, soft‑interrupt or firewall issues, and validating the fix with metrics and roll‑back procedures.
The article explains that writing many test cases does not guarantee bug reduction because missing test points create blind spots, and introduces the AI‑powered test‑point‑generator skill that systematically scans requirements across 14 dimensions to produce comprehensive, verifiable test points and reduce P1 incidents.
Komi Store aggregates binary releases from GitHub, Codeberg, Forgejo and other Git platforms, offering searchable, filtered listings with version, star and fork counts, and provides one‑click installation, multiple Android install methods, auto‑update scheduling, APK inspection, and optional mirror downloads, all in an open‑source package manager.
This article compiles a comprehensive cheat‑sheet of Linux commands, ranging from basic file operations to advanced networking utilities, presented through a series of screenshots that together form a practical reference for network engineers.
This article presents four open‑source tools—Observal, ktx, secretspec, and thefeed—that streamline AI component management, provide semantic context for AI‑generated SQL, automate secret handling, and enable DNS‑based RSS reading, helping developers save time across common workflow scenarios.
This comprehensive guide explains how DNS works, categorises common resolution failures, and provides step‑by‑step procedures, command‑line examples and configuration snippets for diagnosing and fixing DNS problems in Linux, Kubernetes and cloud environments.
Ongrid is an open‑source AI Ops agent that integrates with Slack, DingTalk and other chat platforms, automatically detects alerts, performs root‑cause analysis using a built‑in Prometheus/Loki/Tempo/Grafana stack, and can even remediate issues—all without opening inbound ports, offering browser‑based shells and one‑click deployment via install.sh.
This article provides a step‑by‑step guide on using Nginx's custom log_format together with command‑line tools such as awk, grep, sort and jq to identify slow requests, 5xx spikes, CC attacks, scanners and SQL‑injection attempts, and then mitigates them with limit_req, map, geo and iptables rules, while also covering log rotation, monitoring and risk‑aware deployment practices.
The article walks through a systematic Nginx performance tuning process that starts with baseline load testing, identifies bottlenecks in worker processes, connection limits, I/O and buffering, and applies targeted configuration changes—such as auto workers, keep‑alive tuning, gzip, and proxy buffers—resulting in a three‑fold increase in concurrent request handling.
