This guide walks you through building a production‑grade monitoring solution for large language model inference services using a three‑layer metric hierarchy, Prometheus, Grafana, DCGM Exporter, and custom Python metrics, with step‑by‑step deployment, alerting policies, and real‑world troubleshooting examples.
This article introduces ten Linux operations tools—Shell scripts, Git, Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, ELK Stack, and Zabbix—detailing their functions, typical use cases, advantages, and concrete examples to help engineers streamline daily tasks and dramatically reduce overtime.
This comprehensive guide walks you through the end‑to‑end setup of a production‑grade Prometheus and Grafana monitoring stack, covering architecture choices, installation steps, configuration details, high‑availability designs, performance tuning, security hardening, troubleshooting, backup strategies, and best‑practice recommendations.
This step‑by‑step tutorial walks you through preparing the environment, installing container runtimes, setting up a single‑master multi‑worker K8s cluster, deploying applications, managing configurations, enabling persistent storage, configuring health probes, applying namespaces and quotas, troubleshooting common pitfalls, and adding Prometheus‑Grafana monitoring, all with concrete commands and examples.
This tutorial walks through deploying a highly available RocketMQ cluster with Docker Compose, configuring master‑slave brokers, enabling message tracing, integrating Prometheus‑Grafana monitoring, setting up Spring Boot HA properties, applying performance tweaks, validating failover, and troubleshooting common issues.
This guide walks SREs and DevOps engineers through the challenges of log aggregation in containerized Kubernetes environments and shows how Loki, Promtail, and Grafana together provide a low‑cost, label‑based alternative to the ELK stack, covering architecture, deployment, query language, multi‑tenant security, performance tuning, alerting, and disaster recovery.
This guide walks through setting up a production‑grade Docker environment by deploying a private Harbor registry, integrating GitLab CI for automated builds and deployments, and configuring Prometheus‑Grafana monitoring with alerting, while sharing practical pitfalls and best‑practice recommendations.
The article compares popular log‑collection stacks—ELK/Elastic Stack, EFK with Fluent Bit, and the PLG solution (Promtail + Loki + Grafana)—detailing their components, deployment scenarios, and trade‑offs such as indexing strategy, storage options, and integration with Kubernetes for observability.
After solving distributed transactions with Seata, this tutorial shows how to add complete observability to Spring Cloud microservices by integrating Micrometer, Prometheus, and Grafana, covering metrics pillars, configuration, custom business metrics, dashboard setup, alert rules, validation steps, and common pitfalls.
This article introduces ten widely used Linux operations tools—Shell, Git, Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, ELK Stack, and Zabbix—detailing their functions, typical scenarios, advantages, and concrete usage examples to help engineers streamline daily tasks.
This article systematically reviews 14 open‑source server‑monitoring solutions, explains the three monitoring layers, dives deep into Prometheus + Alertmanager and Zabbix, compares architectures, performance, and costs, and provides a practical decision‑making guide with real‑world scenarios and pitfalls.
This guide walks through exposing metrics, integrating Prometheus and Grafana, using async‑profiler flame graphs, tuning Tomcat/Undertow, optimizing JVM flags, applying SkyWalking tracing, and applying layer‑wise code, cache, and thread‑pool improvements so a SpringBoot service can reliably serve millions of concurrent requests.
This guide walks you through replacing a heavyweight ELK stack with a minimal Grafana‑Loki logging solution, covering environment requirements, installation of Loki and Promtail, configuration details, best‑practice tips, troubleshooting, and backup strategies for reliable log aggregation.
This comprehensive guide walks you through building a robust Linux host monitoring system with Prometheus and node_exporter, covering CPU, memory, disk, and network metrics, practical threshold formulas, ready‑to‑run Bash scripts, Alertmanager rules, Grafana dashboards, and best‑practice recommendations for reliable operations.
This guide walks through preparing a Linux host, downloading Loki v3.6.10, configuring its YAML file, setting up a systemd service, deploying Promtail for log collection, and integrating Grafana for visualization, all using a unified /app/soft directory structure.
This article explains why Loki’s tag‑only indexing makes it a lightweight, cost‑effective log aggregation solution for Kubernetes, breaks down its micro‑service architecture and data flow, and provides a hands‑on binary deployment guide using Docker Compose.
This guide walks through setting up Prometheus and Grafana to monitor a Kubernetes cluster and all business pods, covering the deployment of kube‑state‑metrics, the required RBAC objects, service definitions, and detailed Prometheus scrape configurations for both kube‑state‑metrics and cAdvisor.
This guide walks through deploying Prometheus and Grafana in a Kubernetes cluster using binary installation, detailing the Prometheus scrape configurations for core components, the necessary Service and Endpoints manifests, and how to reload the configuration to enable full‑stack monitoring.
This guide walks through deploying Prometheus (v2.51) and Grafana on a Kubernetes cluster, configuring hostPath storage, setting up node‑exporter, adding scrape jobs via Kubernetes service discovery, reloading configurations, and visualizing metrics through Grafana dashboards, with complete YAML examples and screenshots.
In today's cloud‑native era, Prometheus and Grafana have become the de‑facto standard for full‑stack monitoring across servers, databases, containers, and applications, offering multi‑dimensional data models, flexible queries, and alerting that are essential skills for developers, SREs, and ops engineers.
This article compares three practical approaches—direct database storage, a Flink‑Kafka‑Redis‑Grafana pipeline, and an ELK stack—to achieve real‑time API request counting for high‑concurrency scenarios, outlining their architectures, advantages, and trade‑offs.
This article enumerates ten widely used operations tools—Shell scripts, Git, Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, ELK Stack, and Zabbix—detailing each tool's function, suitable scenarios, advantages, and concrete usage examples for daily sysadmin tasks.
This guide walks operations engineers through building a complete Redis monitoring system—covering why monitoring matters, which metrics to collect, how to gather them with Prometheus and Grafana, and practical Bash scripts for health checks, memory, persistence, replication, client connections, and alert thresholds.
Learn how to quickly set up a complete, production‑grade monitoring system using Prometheus 3.x and Grafana 11, covering installation, service discovery, PromQL queries, recording rules, Alertmanager routing, Grafana dashboards, best‑practice configurations, and troubleshooting for environments of any size.
This guide walks through setting up a complete monitoring pipeline for H3C switches using SNMP Exporter to collect metrics, Prometheus to store and process them, and Grafana to visualize traffic, CPU, memory and interface status in real time.
This guide walks through building a Prometheus‑Grafana monitoring stack for MySQL, selecting exporters, defining key metric groups, leveraging Performance Schema for deep insights, configuring tiered alerts, and applying trend‑based capacity planning to anticipate resource needs.
This guide details how to design and implement an enterprise‑grade cloud‑native observability platform using Prometheus for metrics collection and Grafana for visualization, covering architecture, high‑availability deployment, alerting, dashboard automation, case studies, best‑practice recommendations, and future trends.
The article explains why traditional log‑only debugging no longer works for modern Spring Boot microservices and systematically introduces eight observability solutions—OpenTelemetry, Prometheus, Grafana, Jaeger, Zipkin, Elastic Stack, Datadog, and eBPF—showing how each addresses the three core questions of what is happening, why it happens, and what will happen next.
This article walks through designing and implementing a complete JMeter load‑testing solution for an e‑commerce platform's big‑sale scenario, covering business‑flow mapping, request correlation, multi‑stage stress testing, real‑time monitoring with InfluxDB + Grafana, bottleneck identification, and practical optimization tips.
The article introduces six open‑source monitoring solutions—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—explaining their key features and how each can help ensure system stability and boost operational efficiency in enterprise IT environments.
This guide walks through constructing a sustainable performance‑engineering pipeline—from monitoring and metrics collection with SkyWalking, Prometheus, and Grafana, through targeted load testing and bottleneck analysis, to capacity modeling and alert solidification—for Spring Boot services.
This comprehensive guide explains observability concepts, compares monitoring and observability, details metrics, logs, and tracing pillars, walks through Prometheus and Grafana setup, explores OpenTelemetry integration, and provides a Spring Boot example with full configuration and code snippets.
This article presents a concise overview of ten popular open‑source data visualization tools—including Echarts, D3.js, Grafana, Plotly, Redash, Metabase, Superset, Kibana, AntV, and Pyecharts—highlighting their main features, typical use cases, and visual examples to help readers choose the right solution for their needs.
After a late‑night PagerDuty alert revealed a p95 latency over 5 seconds despite normal CPU, memory, and database metrics, the author spent three days tracing the issue to a tiny thread‑pool configuration, then built an open‑source CLI that automates the entire diagnosis in seconds.
This guide explains Loki's lightweight cloud‑native logging architecture, shows step‑by‑step configuration of Promtail, Loki service, and Grafana integration, and provides concrete YAML and systemd examples for collecting and visualizing secure logs.
This guide walks you through designing and implementing a comprehensive e‑commerce monitoring solution that covers server resources, application performance, and business metrics using Prometheus for data collection and Grafana for visualization, including panel design, alerting, and stress‑test practices.
This guide walks you through designing a layered Linux monitoring architecture, selecting a Prometheus‑Grafana stack, defining key CPU, memory and disk metrics, crafting smart alert rules, visualizing dashboards, and adding automation and AI‑driven predictive techniques for reliable, business‑focused operations.
This comprehensive guide walks you through the background, architecture, and technology selection for monitoring, then details step‑by‑step installation of Prometheus, configuring exporters for Linux, MySQL, and Java applications, introduces core PromQL concepts, and shows how to integrate and visualize data with Grafana.
Network monitoring is crucial for maintaining system security and performance, and this article introduces six free, open‑source tools—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—detailing their core capabilities and why they are valuable for operations teams.
This guide shows how to quickly add OpenTelemetry to a Spring Boot microservice, covering Docker‑based Jaeger setup, Maven dependencies, YAML configuration, automatic instrumentation, custom spans, production tuning, e‑commerce tracing examples, and common pitfalls to avoid.
This guide walks through designing and implementing an intelligent operations workflow that transforms passive log monitoring into proactive alerting and automated remediation, covering core concepts, tech‑stack selection, step‑by‑step configuration of log collection, alert rules, webhook integration, Ansible automation, and best‑practice considerations for scaling and security.
This article presents a curated list of ten widely used Linux operations tools, detailing each tool's core functions, typical use cases, key advantages, and real‑world examples, while also providing practical shell and Ansible code snippets to help engineers apply them immediately.
This guide presents ten essential Grafana dashboards—covering SLO burn, user‑journey funnel, infrastructure USE metrics, queue lag, database health, cache hit‑rate, CDN latency, rollout guardrails, trace topology, and a command‑center view—each explained with its purpose, panel layout, and ready‑to‑use PromQL or LogQL queries.
Grafana 12.3 adds Interactive Learning for context‑aware help, a rebuilt log panel with faster rendering and richer features, new visualization options like panel‑level time settings and Switch variables, plus numerous data‑source enhancements and a critical CVE‑2025‑41115 security fix.
This guide walks through how to design and implement effective Prometheus metrics for various application types, covering golden metrics, label selection, naming conventions, histogram bucket choices, and Grafana visualization tricks to improve observability and operational insight.
This article introduces six free open‑source network monitoring solutions—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—explaining their key features, how they collect and visualize metrics, and why they are valuable for maintaining system stability and security.
Logs, tracing, and metrics each serve distinct monitoring goals—logs capture discrete events for debugging and audit, traces map request flows to pinpoint performance bottlenecks, and metrics provide time‑series health data; understanding their differences and integrating tools like ELK, OpenTelemetry, Prometheus, and Grafana enables robust observability.
This tutorial walks you through installing and configuring Prometheus, Grafana, and various exporters to monitor servers, MySQL, RabbitMQ, Redis, and TiDB, covering architecture, data source setup, dashboard import, email alerts, and API key management for a robust monitoring solution.
This guide explains how Grafana's podLogs feature, powered by Vector.dev, transforms raw Kubernetes pod logs into enriched, searchable, cluster‑wide observability data, covering why pod‑level logs matter, configuration steps, advanced custom log paths, and practical examples.
Learn how to proactively detect node‑level system anomalies in Kubernetes using the Node Problem Detector, expose its metrics to Prometheus, and visualize alerts in Grafana, including step‑by‑step commands for pod inspection, ServiceMonitor creation, and dashboard import.
This article explains how to design and implement a cloud‑native observability platform using Prometheus and Grafana, covering architecture evolution, core Prometheus concepts, high‑availability cluster deployment, storage tuning, sharding, alert rule design, Grafana dashboard automation, multi‑cluster monitoring, and best‑practice recommendations for modern enterprises.
This guide explains how to enable Envoy's admin interface, register the service with Nacos, scrape metrics using Prometheus, and visualize them in Grafana, providing a complete observability pipeline for cloud‑native deployments.
This guide explains why monitoring Kubernetes namespaces is essential, outlines the data collection using kube-state-metrics and cAdvisor, and shows how to build Grafana dashboards for real‑time visibility of CPU, memory, and pod metrics across teams.
This comprehensive tutorial walks you through installing and configuring Grafana, Prometheus, and related exporters, setting up dashboards, enabling email alerts, and extending monitoring to MySQL, RabbitMQ, Redis, and TiDB, all while providing clear code snippets and practical tips for a robust observability stack.
This guide reviews six free open‑source network monitoring solutions—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—detailing their key features and how they help operations teams ensure system security, detect issues early, and maintain smooth network performance.
This article introduces six free open-source network monitoring solutions—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—detailing their key features and how they help operations teams ensure system security and performance, with documentation available for download.
Learn how to transform PHP logs into real‑time, structured events by implementing a log event pipeline that includes JSON logging, lightweight collectors like Filebeat, streaming platforms such as Kafka or Flink, enrichment, and visualization with Grafana, enabling instant monitoring, alerting, and data‑driven decisions.
This tutorial walks you through installing and configuring Grafana and Prometheus, adding exporters for system metrics, MySQL, RabbitMQ, Redis and TiDB, setting up dashboards, creating alert rules, and using Grafana's HTTP API for automation, providing a complete end‑to‑end monitoring solution.
This guide walks you through installing and configuring Prometheus and Grafana, comparing Prometheus with Zabbix, adding exporters for system metrics, MySQL, RabbitMQ, Redis and TiDB, setting up dashboards, plugins, and email alerts to create a comprehensive monitoring solution.
This article explains how the Grafana Table panel serves as a versatile, data‑driven Swiss‑army‑knife for deep troubleshooting, covering its advantages, typical use cases, step‑by‑step configuration, PromQL queries, JSON panel definition, and visual customization tips.
This guide explains why Grafana's Gauge panel creates a powerful visual metaphor for system pressure, walks through creating the gauge, configuring PromQL queries, setting panel options, thresholds, and JSON definitions, and shows how to produce clear, boss‑friendly monitoring dashboards.
This article introduces six free, open‑source network monitoring solutions—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—detailing their key features and how they help operations teams ensure system stability and quickly resolve issues.
Learn when to choose a Pie Chart in Grafana, explore common use cases like browser market share and HTTP status codes, and follow step‑by‑step instructions—including panel options, legend, tooltip, and JSON configuration—to create clear, proportion‑focused visualizations.
Discover why conventional monitoring often fails and learn to construct a robust, three‑layer Linux performance alert system using Prometheus, Grafana, and Alertmanager, with detailed metric definitions, smart alert rules, visual dashboards, predictive capacity planning, automation scripts, and best‑practice guidelines for reliable operations.
This guide explains why Grafana’s Time Series panel is essential for proactive monitoring, walks through browser selection, PromQL queries, panel options such as titles, tooltips, legends, axes, graph styles, and provides a ready‑to‑use JSON configuration to visualize trends and detect anomalies.
This guide explains when to use Grafana's Stat panel, walks through creating and styling it in the browser, details orientation, text, color, and graph options, shows standard settings and value mappings, and provides a complete JSON configuration example for effective monitoring.
This guide explains what Grafana variables are, why they act like a dashboard control knob, and provides step‑by‑step instructions with screenshots and JSON examples for creating data‑source, business‑tag, and JSON‑file variables to build interactive monitoring dashboards.
This article walks through designing and implementing a zero‑intrusion, real‑time network anomaly detection system for Kubernetes using eBPF, covering architecture, kernel‑space eBPF programs, Go user‑space collectors, deployment via DaemonSet, performance optimizations, alerting integration with Prometheus/Grafana, and real‑world case studies.
This guide explains how to integrate Prometheus with Spring Boot using Actuator and Micrometer, configure Docker containers, set up Grafana for visualization, and create custom metrics, providing a complete monitoring solution for microservice applications.
This article walks you through deploying the libvirt‑exporter, registering it with Nacos for service discovery, exposing it to Prometheus, and adding a ready‑made Grafana dashboard, providing a complete monitoring solution for virtualized environments.
This guide introduces Grafana, outlines its multi‑source monitoring features, and provides step‑by‑step installation instructions for Linux using systemd and for Docker Compose, including required commands, configuration files, and how to create and save a basic dashboard.
Learn how to set up Prometheus to collect metrics from a Consul Server cluster deployed via Helm on Kubernetes, including enabling metrics, creating a ServiceMonitor, verifying data collection, and visualizing the results in Grafana with a ready-made dashboard.
This guide walks ops engineers through setting up comprehensive monitoring for JuiceFS CSI in Kubernetes, covering metrics extraction via the mount pod, creating a PodMonitor for Prometheus, and visualizing data with Grafana dashboards to enable proactive issue detection and rapid response.
This guide shows how to collect Nginx access logs, convert them to JSON, store them in Loki, and create real‑time dashboards in Grafana, covering installation, configuration, Docker deployment, and required plugins for a complete monitoring solution.
Loki, an open‑source log aggregation system from Grafana Labs, integrates tightly with Prometheus and Grafana, stores logs efficiently using object storage, offers a simple label‑based model, and provides cost‑effective, high‑performance logging for cloud‑native environments while outlining its architecture, usage, configuration, advantages, limitations, and retention policies.
This guide explains how to monitor Longhorn storage in Kubernetes by collecting metrics with Prometheus, configuring scraping, verifying data collection, and visualizing everything in Grafana, enabling proactive performance tuning and reliable operations.
This guide explains how to collect Nginx access logs, convert them to JSON, store them in Loki using Promtail, and visualize the data with Grafana dashboards, including installation of required modules, Docker deployment, and world‑map panel configuration.
This guide shows how to integrate Jenkins with Prometheus and Grafana, covering plugin installation, metric endpoint exposure, Prometheus scraping configuration, verification via curl, and importing a ready‑made Grafana dashboard to achieve proactive, visualized CI/CD monitoring.
This tutorial explains Prometheus' core components, shows how to deploy Prometheus Server, Node Exporter, cAdvisor, and Grafana as Docker containers on two hosts, configures scraping and alerting, and demonstrates visualizing metrics with ready‑made Grafana dashboards.
This step‑by‑step guide shows how to install Loki, configure its YAML file, set up Promtail to ship logs, install Grafana, add Loki as a data source, and use LogQL to query logs—including collecting Nginx JSON logs—on a Rocky Linux system.
This guide explains how to store Kubernetes event data in Elasticsearch, configure Logstash and Ruby filters for timestamp correction, and create a Grafana dashboard to visualize and analyze cluster events for improved monitoring and troubleshooting.
Learn step‑by‑step how to deploy the Elasticsearch‑exporter via Helm, configure Prometheus to scrape its metrics, and visualize them in Grafana, enabling comprehensive monitoring of Elasticsearch clusters for performance, health, and early issue detection in Kubernetes environments.
This guide shows how to use the Model Context Protocol (MCP) to build a lightweight server that links Grafana dashboards to large language models, covering MCP concepts, FastMCP setup, Python client implementation, environment preparation, and integration with Cherry Studio for seamless AI-driven data access.
This guide explains how to set up HAProxy monitoring by configuring a Prometheus exporter, adding HAProxy targets to Prometheus, verifying metric collection, and visualizing the data in Grafana with a ready-made dashboard, ensuring reliable and performant services.
This guide demonstrates building a Model Context Protocol (MCP) server in Python to enable large language models to query Grafana dashboards, retrieve folder lists, and return real‑time visualizations, covering installation, server definition, tool creation, and integration with Cherry Studio.
This article introduces six free open-source network monitoring solutions—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—explaining their key features and how they help operations teams ensure system security and performance.
This guide walks you through setting up a SpringBoot application, configuring Logback, installing and configuring Loki, Promtail, and Grafana, and comparing the lightweight Loki stack with the traditional ELK solution for efficient log collection and visualization.
This guide walks you through integrating SpringBoot with Prometheus and Grafana, covering dependency setup, YAML configuration, a test controller, Prometheus scrape jobs, and Grafana dashboard creation to achieve real‑time application monitoring and performance analysis.
This guide walks Kubernetes administrators through the full lifecycle of Process Exporter—from lightweight deployment and RBAC setup, through Prometheus Operator integration and Grafana dashboard creation, to detailed configuration and alerting—enabling precise process‑level monitoring and rapid root‑cause analysis.
This guide outlines a comprehensive, low‑cost monitoring solution using open‑source tools like Prometheus, Node Exporter, cAdvisor, and Grafana, covering architecture design, deployment steps, cost estimation, risk mitigation, and benefits for small‑to‑medium enterprises.
The article introduces GPUprobe, an eBPF‑based tool that provides lightweight, continuous, application‑level monitoring of CUDA memory allocation, leaks, and kernel launches, compares it with NSight Systems and DCGM, and demonstrates near‑zero overhead integration with Prometheus and Grafana through detailed code examples and real‑world output analysis.
This guide reviews six free open‑source network monitoring solutions—Zabbix, Prometheus, Cacti, Grafana, OpenNMS, and Nagios—detailing their key features and how they help operations teams ensure system stability, detect issues early, and maintain secure, smooth network performance.
This tutorial walks through setting up the lightweight Loki log aggregation system together with Grafana using Docker Compose, integrating Loki into a SpringBoot application via the loki‑logback‑appender, and configuring Grafana dashboards to visualize distributed logs on a low‑memory server.
This guide shows how to enable Nacos metrics, configure Prometheus to scrape them, and visualize the data with a Grafana dashboard, providing a centralized view across different departments for enterprise monitoring and decision‑making.
This guide explains how to monitor a Spring Boot application using Prometheus, configure Spring Boot Actuator, run Prometheus (including Docker deployment), set up Grafana for visualizing metrics, and create custom metrics with Micrometer, providing step‑by‑step instructions and code examples.
Learn step‑by‑step how to activate Ceph’s monitoring modules, configure Prometheus to collect Ceph metrics, verify data collection, and integrate Grafana dashboards, including tips on required dependencies and troubleshooting, to ensure reliable, secure storage management in enterprise cloud‑native environments.
This article demonstrates how to use Spring Boot 3 Actuator together with Prometheus and Grafana to monitor JVM, Tomcat, database, Redis, and remote HTTP calls, providing real‑time metrics that help detect bottlenecks, optimize resources, and ensure stable performance under high load.
This guide walks you through configuring MinIO's enterprise monitoring panel, generating Prometheus metrics for clusters, nodes, buckets, and resources, integrating them into Grafana dashboards, and verifying successful data collection to enhance data management and operational efficiency.
This guide explains how to activate GitLab's metrics endpoint, configure Prometheus to scrape GitLab data, verify collection, and import ready-made Grafana dashboards to monitor CI/CD pipelines, providing step‑by‑step commands and screenshots for a complete monitoring solution.
Learn step‑by‑step how to enable metrics on ingress‑nginx, configure Prometheus to scrape those metrics, verify data collection, and add customized Grafana panels—including Harbor monitoring—to achieve a robust, enterprise‑level observability solution for Kubernetes workloads.
