This tutorial walks through installing Jenkins, InfluxDB, and Grafana, configuring Jenkins plugins, creating the InfluxDB database and user, writing a pipeline script to publish build metrics, and setting up Grafana dashboards with variables to visualize Jenkins build data.
In the face of widespread layoffs and the rise of AI, DevOps professionals must master CI/CD pipelines, cloud platforms, container orchestration, automation scripting, monitoring, security, continuous learning, and strong teamwork to stay competitive in 2024.
The article introduces DynamicTp, a SpringBoot-based dynamic thread‑pool framework that enables real‑time adjustment, monitoring, and alerting of ThreadPoolExecutor parameters via various configuration centers, outlines its architecture, modules, features, and integration with third‑party components, and provides usage guidance for Java backend developers.
This article provides a practical guide on monitoring database system resources using Linux commands, configuring MySQL slow query logging, analyzing performance issues, and outlines best practices, while also promoting a ChatGPT community and related services.
This article explains why microservice architecture is preferred over monolithic applications, outlines a clear learning roadmap, and details essential components such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, distributed tracing, persistence, caching, and cloud providers.
This article provides a thorough overview of backend development, covering system design principles such as high cohesion and low coupling, architectural patterns for high concurrency and availability, network communication techniques, common fault scenarios, monitoring and alerting strategies, service governance practices, and deployment workflows.
This article explains how to use a message queue like Kafka to decouple systems and control traffic, identifies the three main points where message loss can occur—producer, broker, and consumer—and provides practical detection methods and configuration recommendations to guarantee reliable, loss‑free message delivery.
The article uses a series of relationship‑based analogies to explain fundamental system‑architecture concepts such as cold backup, hot standby, disaster recovery, load balancing, multi‑cluster scaling, CDN, DDoS protection, IDS/IPS, SIEM, VPN, reverse engineering, stress testing, data analysis, parallel computing, big‑data processing, containerization, virtualization, and more, while also providing promotional links to related resources.
The article shares a senior architect's experience improving a legacy multi‑service web system's performance by 3000% by fixing a DB connection leak, adopting tail‑latency metrics, and investing in load testing, monitoring, logging, and dedicated SRE resources.
The article outlines practical approaches to monitor and resolve performance bottlenecks in backend applications, covering database slow‑query logs, interface latency, message‑queue backlogs, segmentation timing, caching, batch calls, multithreading, and database tuning techniques such as indexing and transaction isolation.
This article presents a step‑by‑step tutorial on designing a simple front‑end/back‑end separated microservice system, implementing it with Spring Boot, deploying it on Kubernetes, and enhancing reliability with multi‑instance registration, monitoring, logging, tracing, and traffic control mechanisms.
This article outlines a comprehensive roadmap for adopting microservice architecture, describing its benefits, core concepts, and essential tools such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, tracing, persistence, caching, and cloud providers.
This article walks readers through the complete lifecycle of a microservice system—from architectural design and Java Spring Boot implementation to Kubernetes deployment, high‑availability setup, monitoring with Prometheus/Grafana, tracing with Zipkin, and flow‑control with Sentinel—providing practical code snippets and step‑by‑step instructions.
This article provides a detailed introduction to microservices, covering its definition, core principles such as small independent services, lightweight communication, independent deployment and management, the advantages and disadvantages, suitable organizational contexts, and the essential components like service discovery, API gateways, configuration centers, monitoring, circuit breaking, container orchestration, and service mesh.
This article explains the fundamentals of DevOps, outlines the full lifecycle including CI/CD and monitoring, compares popular tools for code hosting, pipelines, service discovery and observability, and provides tailored toolchain recommendations for startups, mid‑size and large enterprises based on maturity and scale.
This article presents a comprehensive roadmap for adopting microservice architecture, explaining why it is chosen, outlining essential concerns such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, tracing, data persistence, caching, and cloud providers, and recommending popular tools for each component.
This article presents a thorough analysis of performance problems in production business systems, covering root causes such as concurrency, data growth, hardware limits, database and middleware bottlenecks, JVM tuning, code inefficiencies, and offers practical diagnostic steps, monitoring tools, and optimization strategies.
This article provides a detailed, step‑by‑step guide for startups to design and select a complete backend technology stack, covering language choices, components, processes, systemization, and the practical evaluation of tools such as project management, DNS, load balancing, databases, messaging, CI/CD, monitoring, and deployment.
The article analyzes why a company's clusters were unstable—unstable release process, missing monitoring and logging, insufficient documentation, and unclear request routing—and proposes a comprehensive solution built around Kubernetes‑centric CI/CD, a federated Prometheus monitoring platform, Elasticsearch logging, centralized documentation, and Kong/Istio traffic management.
The article chronicles a SaaS team's evolution from a two‑person monolithic application to a microservice‑based, containerized architecture, detailing API design, CI/CD practices, Spring Cloud and Kubernetes integration, automated deployment, tracing, and monitoring strategies.