This comprehensive guide explains MongoDB cluster components, common use cases, monitoring commands, basic operational tasks, data migration procedures, troubleshooting of production issues, and optimization recommendations to achieve high performance and scalability.
Discover four essential Linux monitoring utilities—iotop, htop, IPTraf, and Monit—that help quickly diagnose I/O, CPU, memory, network traffic, and process health, offering detailed per-process insights and flexible alerting for effective system management.
This article outlines comprehensive production‑grade Kubernetes best practices—including health probes, RBAC, resource management, network policies, monitoring, autoscaling, image security, and zero‑downtime strategies—to help teams run secure, efficient, and highly available workloads.
This guide compiles a comprehensive set of Linux shell commands for deleting zero‑byte files, inspecting processes, checking CPU, memory, disk usage, network load, and other system metrics, plus a collection of useful regular expressions for text processing and validation.
This tutorial walks you through installing Zabbix on CentOS 7, covering prerequisite disabling of SELinux and firewalls, adding repositories, installing server, web, and database components, configuring files, securing MariaDB, starting services, and completing the web‑based setup with language customization.
This article explains what inodes are, why they can become exhausted even when disk space remains, and provides step‑by‑step Linux commands and cleanup techniques to monitor and resolve inode exhaustion issues.
This guide shares practical Linux server operation rules, emphasizing thorough testing, careful use of destructive commands, strict access control, regular backups, security hardening, continuous monitoring, and disciplined performance tuning to prevent costly outages and data loss.
This article explains why Kubernetes was chosen, describes the overall architecture, high‑availability master design, multi‑IDC cluster deployment, logging, monitoring, service exposure, image building, lifecycle hooks, CI/CD, multi‑cluster management, encountered challenges, and future plans for operators and automated scaling.
This article details LeXin Medical's journey from a manually built Kubernetes cluster to the UCloud UK8S platform, covering the challenges of self‑hosting, the tools and processes used for migration, and the resulting improvements in logging, monitoring, CI/CD, and overall operational efficiency.
This article details Lagou's migration of production workloads from traditional VMs to UK8S, covering business architecture, stateful container deployment, sidecar log collection, dual monitoring stacks, service exposure strategies, configuration management, CI/CD pipelines, and future plans for autoscaling.
This article explains how microservice architectures require a comprehensive monitoring system, covering data, resource, and code dimensions, and describes eight atomic monitoring scenarios such as URL, host, product, component, custom, resource, APM, and event monitoring to help engineers design effective observability solutions.
This article shares practical Go microservice building experiences, covering gRPC-based communication, TLS security, request tracing, and comprehensive monitoring with Prometheus, including metric selection, alerting, and log management using Logrus and Graylog, to help reduce coupling and improve system observability.
Discover twelve practical SpringBoot performance optimization techniques—from connection pool tuning and JVM memory settings to caching, async processing, and full‑stack monitoring—each illustrated with code snippets and actionable guidance to prevent full‑table scans, OOM errors, and latency spikes in high‑traffic applications.
This article shares ten practical guidelines for writing high‑quality logs in Java backend services, covering format consistency, stack traces, log levels, complete parameters, data masking, asynchronous logging, traceability, dynamic log levels, structured storage, and intelligent monitoring to improve debugging and system reliability.
This article introduces Zabbix’s core features, flexible data collection, custom alerting, visualization, high‑availability architecture, security auditing, and compares it with Prometheus, then walks through a step‑by‑step installation, configuration, and deployment on a CentOS server.
This article walks through a step‑by‑step troubleshooting process for JVM Out‑Of‑Memory (OOM) incidents, covering symptom identification, monitoring tools like top, jstat, and jmap, root‑cause analysis, and actionable recommendations to prevent future memory leaks.
DynamicTp extends Java's ThreadPoolExecutor with zero‑intrusion configuration, real‑time parameter adjustment, comprehensive monitoring, and multi‑channel alerting, allowing developers to dynamically tune thread pools across microservices using popular configuration centers and integrate with tools like Micrometer and Grafana.
This comprehensive guide walks backend developers through practical techniques—such as proper indexing, SQL refactoring, parallel remote calls, asynchronous processing, caching layers, sharding, and monitoring—to diagnose and dramatically improve API response times and overall system throughput.
This article explains why JVM tuning matters, identifies scenarios that require tuning such as performance bottlenecks, memory overflows, and concurrency issues, and then details monitoring and diagnostic tools—including JDK command‑line utilities and third‑party solutions—followed by a comprehensive guide to JVM parameters, garbage‑collector selection, and practical ways to apply these settings in production environments.
This guide explains Druid's core concepts, how to add Maven dependencies, configure properties, enable monitoring filters, customize the admin servlet, remove built‑in ads, and retrieve runtime statistics, providing a complete tutorial for integrating Druid with Spring Boot applications.