This guide demonstrates how to navigate to the RocketMQ bin directory and use various mqadmin CLI commands to list available commands, check help, monitor producer and consumer connections, query topic status, retrieve messages by offset or ID, and shut down the NameServer and brokers.
This guide explains how to use Ansible to automatically install and configure Zabbix‑agent on a large number of Linux servers, covering inventory setup, a deployment script, a playbook, execution commands, and verification of the agent listening on port 10050.
This guide explains how to install Prometheus on a Linux server using both the binary method and a Docker container, covering downloading, extracting, configuring the prometheus.yml file, running the service, and verifying the installation.
This article provides a detailed overview of operations engineering, covering the definition of ops and game ops, interactions with product teams, server management strategies, RAID levels, load‑balancing technologies (LVS, Nginx, HAProxy), caching solutions, middleware, MySQL troubleshooting, backup methods, Keepalived, Linux security, networking layers, and practical shell scripts for monitoring and automation.
This guide explains how to create and deploy a Bash script that retrieves a WeChat corporate token and sends Zabbix alarm messages to all users through the WeChat API, enabling automated monitoring alerts via the corporate WeChat platform.
This guide explains how to safely migrate a Zabbix monitoring server to a new machine by backing up the MySQL database with mysqldump, importing it on the new host, updating configuration files, restarting services, and ensuring time synchronization to maintain uninterrupted monitoring.
This article reviews ten popular Kubernetes monitoring tools—including Helios, Prometheus, New Relic, Grafana, DataDog, Sysdig, Zabbix, AppDynamics, Dynatrace, and Sensu—detailing their key features and how they help improve performance, reliability, and observability of containerized applications.
The article outlines the key competencies DevOps engineers must master—including cloud computing, automation, containerization, CI/CD, monitoring, logging, and infrastructure-as-code—to accelerate, stabilize, and scale software delivery in modern development environments.
This article explains the stages of the DevOps lifecycle—planning, coding, building, testing, releasing, deploying, operating, and monitoring—along with the popular tools used at each phase to enable continuous integration, delivery, and deployment.
This article provides a comprehensive guide on configuring and optimizing Zabbix agent monitoring for Linux and Windows, covering agent types, passive and active modes, macro variables, LLD macros, CPU/memory/file‑system metrics, and Windows service, performance counter, and event‑log monitoring.
This tutorial explains how to create and configure Grafana Stat panels—including text and background modes, threshold‑based coloring, unit settings, and Markdown/HTML text panels—to visualize metrics such as node uptime, CPU cores, and total memory on a dashboard.
This guide demonstrates how to create a Grafana Table panel to monitor server resources, add multiple queries, merge them using the Transform feature, customize fields and units, and organize rows for a comprehensive dashboard view.
The article outlines the six essential DevOps capabilities—collaboration, automation, continuous integration, continuous testing, continuous delivery, and continuous monitoring—explaining how each contributes to improving efficiency, reducing errors, and ensuring reliable software delivery in modern IT environments.
Learn how to install and configure the Prometheus plugin in Jenkins, set up Prometheus to scrape Jenkins metrics, and create Grafana dashboards to visualize CI performance, providing a step‑by‑step guide for effective DevOps monitoring.
This article provides a step‑by‑step tutorial on installing Prometheus, configuring its components, deploying it in a Kubernetes cluster with proper RBAC and persistent storage, and extending monitoring to applications and exporters using /metrics endpoints.
This tutorial provides a beginner-friendly, step-by-step walkthrough for downloading, installing, configuring, and verifying Prometheus, Node Exporter, Alertmanager, and Grafana on a Linux server, including service setup, configuration files, and a simple alert test.
This guide walks through deploying node‑exporter, Prometheus, and Grafana on a Kubernetes cluster with YAML manifests, configuring services, RBAC, and Grafana dashboards to monitor cluster metrics, and includes verification steps and code examples.
Prometheus, an open‑source monitoring and alerting toolkit originally developed by SoundCloud and now a CNCF project, offers multidimensional data models, flexible queries, pull‑based data collection, various metric types (counter, gauge, summary, histogram), local and remote storage, service discovery, and integrates with Grafana for visualization.
This guide walks through downloading, installing, configuring, and verifying Prometheus, Alertmanager, Node Exporter, and Grafana on a Linux server, including service setup, YAML configuration files, and a simple test to trigger and receive an alert via email.
This article explains Prometheus metric naming conventions, label usage, metric types such as Counter, Gauge, Summary, and Histogram, and describes the structure of data samples, providing examples and best‑practice guidelines for defining and classifying metrics in monitoring systems.